Country: Peru

MAAP #122: Amazon Deforestation 2019

Posted on by Ana Folhadella
Table 1. Primary forest loss for 2019 (red) compared to 2018 (orange). Data: Hansen/UMD/Google/USGS/NASA, MAAP.

Newly released data for 2019 reveals the loss of over 1.7 million hectares (4.3 million acres) of primary Amazon forest in our 5 country study area (Bolivia, Brazil, Colombia, Ecuador, and Peru).* That is twice the size of Yellowstone National Park.

Table 1 shows 2019 deforestation (red) in relation to 2018 (orange).

Primary forest loss in the Brazilian Amazon (1.29 million hectares) was over 3.5 times higher than the other four countries combined, with a slight increase in 2019 relative to 2018. Many of these areas were cleared in the first half of the year and then burned in August, generating international attention.

Primary forest loss rose sharply in the Bolivian Amazon (222,834 hectares), largely due to uncontrolled fires escaping into the dry forests of the southern Amazon.

Primary forest loss rose slightly in the Peruvian Amazon (161,625 hectares) despite a relatively successful crackdown on illegal gold mining, pointing to small-scale agriculture (and cattle) as the main driver.

On the positive side, primary forest loss decreased in the Colombian Amazon (91,400 hectares) following a major spike following the 2016 peace accords (between the government and FARC). It is worth noting, however, that we have now documented the loss of 444,000 hectares (over a million acres) of primary forest in the Colombian Amazon in the past four years since the peace agreement (see Annex).

*Two important points about the data. First, we use annual forest loss from the University of Maryland to have a consistent source across all five countries. Second, we applied a filter to only include loss of primary forest (see Methodology).

2019 Deforestation Hotspots Map

The Base Map below shows the major 2019 deforestation hotspots across the Amazon.

2019 deforestation hotspots across the Amazon. Data: Hansen/UMD/Google/USGS/NASA, MAAP.

Many of the major deforestation hotspots were in Brazil. Early in the year, in March, there were uncontrolled fires up north in the state of Roraima. Further south, along the Trans-Amazonian Highway, much of the deforestation occurred in the first half of the year, followed by the high profile fires starting in late July. Note that many of these fires were burning recently deforested areas, and were not uncontrolled forest fires (MAAP #113).

The Brazilian Amazon also experienced escalating gold mining deforestation in indigenous territories (MAAP #116).

Bolivia also had an intense 2019 fire season. Unlike Brazil, many were uncontrolled fires, particularly in the Beni grasslands and Chiquitano dry forests of the southern Bolivian Amazon (MAAP #108).

In Peru, although illegal gold mining deforestation decreased (MAAP #121), small-scale agriculture (including cattle) continues to be a major driver in the central Amazon (MAAP #112) and an emerging driver in the south.

In Colombia, there is an “arc of deforestation” in the northwestern Amazon. This arc includes four protected areas (Tinigua, Chiribiquete and Macarena National Parks, and Nukak National Reserve) and two Indigenous Reserves (Resguardos Indígenas Nukak-Maku and Llanos del Yari-Yaguara II) experiencing substantial deforestation (MAAP #120). One of the main deforestation drivers in the region is conversion to pasture for land grabbing or cattle ranching.

Annex – Colombia peace accord trend

Annex 1. Deforestation of primary forest in the Colombian Amazon, 2015-20. Data: Hansen/UMD/Google/USGS/NASA, UMD/GLAD. *Until May 2020

Methodology

The baseline forest loss data presented in this report were generated by the Global Land Analysis and Discovery (GLAD) laboratory at the University of Maryland (Hansen et al 2013) and presented by Global Forest Watch. Our study area is strictly what is highlighted in the Base Map.

For our estimate of primary forest loss, we used the annual “forest cover loss” data with density >30% of the “tree cover” from the year 2001. Then we intersected the forest cover loss data with the additional dataset “primary humid tropical forests” as of 2001 (Turubanova et al 2018). For more details on this part of the methodology, see the Technical Blog from Global Forest Watch (Goldman and Weisse 2019).

For boundaries, we used the biogeographical limit (as defined by RAISG) for all countries except Bolivia, where we used the Amazon watershed limit (see Base Map).

All data were processed under the geographical coordinate system WGS 1984. To calculate the areas in metric units, the projection was: Peru and Ecuador UTM 18 South, Bolivia UTM 20 South, Colombia MAGNA-Bogotá, and Brazil Eckert IV.

Lastly, to identify the deforestation hotspots, we conducted a kernel density estimate. This type of analysis calculates the magnitude per unit area of a particular phenomenon, in this case forest cover loss. We conducted this analysis using the Kernel Density tool from Spatial Analyst Tool Box of ArcGIS. We used the following parameters:

Search Radius: 15000 layer units (meters)
Kernel Density Function: Quartic kernel function
Cell Size in the map: 200 x 200 meters (4 hectares)
Everything else was left to the default setting.

For the Base Map, we used the following concentration percentages: Medium: 7%-10%; High: 11%-20%; Very High: >20%.

References

Goldman L, Weisse M (2019) Explicación de la Actualización de Datos de 2018 de Global Forest Watch. https://blog.globalforestwatch.org/data-and-research/blog-tecnico-explicacion-de-la-actualizacion-de-datos-de-2018-de-global-forest-watch

Hansen, M. C., P. V. Potapov, R. Moore, M. Hancher, S. A. Turubanova, A. Tyukavina, D. Thau, S. V. Stehman, S. J. Goetz, T. R. Loveland, A. Kommareddy, A. Egorov, L. Chini, C. O. Justice, and J. R. G. Townshend. 2013. “High-Resolution Global Maps of 21st-Century Forest Cover Change.” Science 342 (15 November): 850–53. Data available on-line from: http://earthenginepartners.appspot.com/science-2013-global-forest.

Turubanova S., Potapov P., Tyukavina, A., and Hansen M. (2018) Ongoing primary forest loss in Brazil, Democratic Republic of the Congo, and Indonesia. Environmental Research Letters  https://doi.org/10.1088/1748-9326/aacd1c 

Acknowledgements

We thank G. Palacios for helpful comments to earlier versions of this report.

This work was supported by the following major funders: Norwegian Agency for Development Cooperation (NORAD), Gordon and Betty Moore Foundation, International Conservation Fund of Canada (ICFC), Metabolic Studio, Erol Foundation, MacArthur Foundation, and Global Forest Watch Small Grants Fund (WRI).

Citation

Finer M, Mamani N (2020) 2019 Amazon Deforestation. MAAP: 122.

MAAP #121: Reduction of Illegal Gold Mining in the Peruvian Amazon

Posted on by Ana Folhadella
Base Map. Illegal gold mining deforestacion in the protected area buffer zones of the southern Peruvian Amazon, 2017-2019. Data: MAAP.

Thanks to the support of the USAID, via the Prevent Project, dedicated to the prevention and combat of environmental crimes in the Amazon, we conducted a detailed analysis of recent illegal gold mining deforestation in the southern Peruvian Amazon.

The objective is to understand the trends from early 2017 to June 2020 (which includes the first part of the mandatory quarantine issued by the Peruvian government as of March 16, 2020 due to the coronavirus pandemic).

We focus on the buffer zones of two protected areas in the Madre de Dios region: Tambopata National Reserve and Bahuaja Sonene National Park (see Base Map).*

This area includes La Pampa, the current highest intensity illegal mining zone in the country. In February 2019, the Peruvian government launched Operation Mercury  to confront the illegality in La Pampa and surrounding areas.

The Base Map shows that gold mining deforestation in La Pampa decreased over 90% following Operation Mercury.

However, illegal gold mining does continue after Operation Mercury (including during the coronavirus state of emergency), but at lower rates. Thus, current snapshots may be misleading and recent context is important.

On the Base Map, the red arrows indicate the areas with the most recent illegal activity (click the image to enlarge). See below for more details.

Main Results

Table 1. Illegal gold mining deforestation before (yellow) and after (red) Operation Mercury in the buffer zones of Madre de Dios. Data: MAAP.

The Base Map and Table 1 illustrate the following key results:

  • In La Pampa, we documented mining deforestation of 173 hectares (428 acres) per month before Operation Mercury (January 2018 – February 2019). After the intervention, deforestation was reduced to 14 hectares (36 acres) per month (March 2019 – May 2020), a decrease of 92%.
    .
  • Upstream, in the Alto Malinowski, we documented the mining deforestation of 61 hectares (150 acres) per month before Operation Mercury. After the intervention, deforestation was reduced to 28 hectares (69 acres) per month, a decrease of 53%.
    .
  • Downstream, in the Apaylon area, we documented the mining deforestation of 2.9 hectares (7 acres) per month, before Operation Mercury. After the intervention, deforestation increased to 4 hectares (10 acres) per month, an increase of 41%. Apaylon is main area in the buffer zone where deforestation has increased.
    .
  • Within Tambopata National Reserve, we documented the mining deforestation of 6.5 hectares (16 acres) per month, before Operation Mercury. After the intervention, deforestation was reduced to 0.5 hectares (1.2 acres) per month, a decrease of 93%.
    .
  • Overall, illegal gold mining does continue in the buffer zones of Madre de Dios, but at lower rates than the previous two years. We documented the gold mining deforestation of 797 hectares (1,670 acres) after Operation Mercury.
    .
  • Regarding the speculation that illegal activity would increase during the coronavirus pandemic, we have not documented any major increase or surge in the buffer zones of Madre de Dios.* Illegal mining does continue, however, we documented the deforestation of 80 hectares (198 acres) during the quarantine.
    .

Reduction of 90% in La Pampa

The following images show the major decrease in gold mining deforestation in La Pampa after Operation Mercury. Image 1 shows the rapid deforestation before Operation Mercury, between January 2017 (left panel) and February 2019 (right panel). Image 2 shows how the deforestation decreased after Operation Mercury, between February 2019 (left panel) and May 2020 (right panel). The red dot represents a reference point between the images.

Image 1. Rapid gold mining deforestation in La Pampa before Operation Mercury, between January 2017 (left panel) and February 2019 (right panel). Data: Planet.
Image 2. Mining deforestation decreased in La Pampa after Operation Mercury, between February 2019 (left panel) and May 2020 (right panel). Data: Planet.

Displaced Miners?

Table 2. Deforestation by illegal gold mining before (yellow) and after (red) Operation Mercury in two other threatened areas. Data: MAAP.

There has also been speculation that the focus of Operation Mercury in La Pampa would lead to illegal miners moving to other areas.* Base Map 2 shows two of the most threatened areas: Camanti and Pariamanu.

These are the main results for these two areas:

  • In Camanti (located in the buffer zone of Amarakaeri Communal Reserve), we documented the gold mining deforestation of 13.3 hectares (33 acres) per month before Operation Mercury. After the intervention, deforestation was reduced to 6.1 hectares (15 acres) per month, a decrease of 54%.
    .
  • In Pariamanu, we documented  the mining deforestation of 2.5 hectares (6 acres) per month before Operation Mercury. After the intervention, it increased to 4.2 hectares (10 acres) per month, an increase of 70%.
    .
  • In summary, illegal gold mining continues in these two areas outside La Pampa. We documented the mining deforestation of 175 hectares (432 acres) after Operation Mercury (including 22 hectares during the pandemic). There is some evidence that miners are being displaced to Pariamanu, but there has not been a surge in Camanti.
Base Map 2. Main mining areas in the south of the Peruvian Amazon. Click to enlarge image.

Statement of the Peruvian Protected Area Agency (SERNANP)

El Servicio Nacional de Áreas Naturales Protegidas por el Estado (SERNANP) nos ha comunicado lo siguiente:

  • La actividad de control y vigilancia en la Reserva Nacional Tambopata es permanente y las autoridades (SERNANP, Policía Nacional del Perú, Fiscalías Especializadas en Materia Ambiental, y Marina de Guerra del Perú) continúan interviniendo a todas las actividades de minería ilegal, manteniendo el 100%.
  • Las zonas de amortiguamiento son espacios que están sujetos a la intervención de las autoridades de la Operación Mercurio (no del SERNANP). Se han realizado intervenciones continuas e interdicciones tanto en  las zonas indicadas en el reporte, como en Apaylon y Camanti.
    ,
  • Cabe mencionar que la Operación Mercurio, durante el 2019 y sobre todo en el 2020 (Incluyendo el período de cuarentena) ha ampliado sus operativos mas allá de la Pampa, lo cual explica porque en Camanti las cifras también se ha reducido.  En el segundo semestre de 2020 y en el 2021, se espera que los operativos es amplíen a otras zonas de Madre de Dios.

*Notes

Acknowledgments

We thank R. Segura, M. Castro, E. Ortiz, M. Silman, M. E. Gutierrez, S. Novoa, H. Balbuena, M. Allemant, and G. Palacios for their helpful comments on this report.

This report was conducted with technical assistance from USAID, via the Prevent project. Prevent is an initiative that, over the next 5 years, will work with the Government of Peru, civil society, and the private sector to prevent and combat environmental crimes in Loreto, Ucayali and Madre de Dios, in order to conserve the Peruvian Amazon.

This publication is made possible with the support of the American people through USAID. Its content is the sole responsibility of the authors and does not necessarily reflect the views of USAID or the US government.

Citation

Finer M, Mamani N (2020) Reduction of Illegal Gold Mining in the Peruvian Amazon. MAAP:

MAAP Synthesis: 2019 Amazon Deforestation Trends and Hotspots

Posted on by Ana Folhadella
Base Map. Amazon Deforestation, 2001-2019. Data: UMD/GLAD, Hansen/UMD/Google/USGS/NASA, MAAP. 

MAAP, an initiative of Amazon Conservation, specializes in satellite-based, real-time deforestation monitoring of the Amazon. Our geographic focus covers five countries: Bolivia, Brazil, Colombia, Ecuador, and Peru (see Base Map).

We found that, since 2001, this vast area lost 65.8 million acres (26.6 million hectares) of primary forest, an area equivalent to the size of the United Kingdom (or the U.S. state of Colorado).

In 2019, we published 18 high-impact reports on the most urgent cases of deforestation. 2019 highlights include:

  • Fires in the Brazilian Amazon actually burned freshly deforested areas (MAAP #113);
  • Effective illegal gold mining crackdown in the Peruvian Amazon as a result of the government’s Operation Mercury (MAAP #104);
  • Illegal invasion of protected areas in the Colombian Amazon (MAAP #106);
  • Construction of oil-drilling platforms in the mega-diverse Yasuni National Park of the Ecuadorian Amazon (MAAP #114).

Here, in our annual Synthesis Report, we go beyond these emblematic cases and look at the bigger picture for 2019, describing the most important deforestation trends and hotspots across the Amazon.

*Note: to download a PDF, click the “Print” button below the title.

Synthesis Key Findings

Trends: We present a GIF comparing deforestation trends for each country since 2001. The preliminary 2019 estimates have several important headlines:
  • Possible major deforestation decrease in the Colombian Amazon following a dramatic increase over the previous three years;
  • Likely major deforestation increase in the Bolivian Amazon due to forest fires;
  • Downward deforestation trend continues in the Peruvian Amazon, but still historically high;
  • Deforestation of 2.4 million acres in the Brazilian Amazon, but the trend depends on the data source.
Hotspots: We present a Base Map highlighting the major deforestation hotspots in 2019. Results emphasize the deforestation and fires in the Brazilian Amazon, along with several key areas in Colombia, Peru, and Bolivia.
.

Deforestation Trends 2001-2019

The following GIF shows deforestation trends for each country between 2001 and 2019 (see descriptive notes below). Click here for static versions of each graph.

Three important points about the data: First, as a baseline, we use annual forest loss from the University of Maryland to have a consistent source across all five countries (thus it may differ from official national data). Second, we applied a filter to only include loss of primary forest (see Methodology). Third, the 2019 data represents a preliminary estimate based on early warning alerts.

  1. Deforestation in the Ecuadorian Amazon is relatively low, reaching a maximum of 18,800 hectares (46,500 acres) in 2017. The estimate for 2019 is 11,400 hectares (28,000 acres).
    .
  2. In the Bolivian Amazon, deforestation decreased in 2018 to 58,000 hectares (143,000 acres) after a peak in 2016 of 122,000 hectares (302,000 acres). However, with the recent widespread forest fires, deforestation increased again in 2019, to 135,400 hectares (334,465 acres).
    .
  3. The Colombian Amazon experienced a deforestation boom starting in 2016 (coinciding with the FARC peace accords), reaching an historical high of 153,800 hectares (380,000 acres) in 2018. However, the deforestation estimate for 2019 is back to pre-boom levels at 53,800 hectares (133,000 acres).
    .
  4. Deforestation in the Peruvian Amazon declined in 2018 (compared to 2017) to 140,000 hectares (346,325 acres), but remained relatively high compared to historical data. The official deforestation data from the Peruvian government for 2018 is slightly higher at 154,700 hectares (382,272 acres), but also represents an important reduction compared to 2017. The deforestation estimate for 2019 indicates the continued downward trend to 134,600 hectares (332,670 acres).
    .
  5. Deforestation in the Brazilian Amazon is on another level compared to the other four countries. The 2019 deforestation estimate of 985,000 hectares (2.4 million acres) is consistent with the official data of the Brazilian government. The trend, however, is quite different; we show a decrease in deforestation compared to the previous three years, but the official data indicates an increase. To better understand the differences between data sources (including spatial resolution, inclusion of burned areas, and timeframe), consult this blog by Global Forest Watch.

Deforestation Hotspots 2019

Base Map. Deforestation Hotspots 2019. Data: MAAP, UMD/GLAD, Hansen/UMD/Google/USGS/NASA. Click to see image in high resolution.

The Base Map shows the most intense deforestation hotspots during 2019.

Many of the major deforestation hotspots were in Brazil. The letters A indicate areas deforested between March and July, and then burned starting in August, covering over 735,000 acres in the states of Rondônia, Amazonas, Mato Grosso, Acre, and Pará (MAAP #113). They also indicate areas where fire escaped into the surrounding primary forest, impacting an additional 395,000 acres. There is a concentration of these hotspots along the Trans-Amazonian Highway. The letter B indicates uncontrolled forest fires earlier in the year (March) in the state of Roraima (MAAP #109).

Bolivia also had an intense 2019 fire season. Letter C indicates the area where fires in Amazonian savanna ecosystems escaped to the surrounding forests.

In Colombia, the letter D indicates an area of high deforestation surrounding and within four protected areas: Tinigua, Chiribiquete, and Macarena National Parks, and the Nukak National Reserve (MAAP #106).

In Peru, there are several key areas to highlight. Letter E indicates a new Mennonite colony that has caused the deforestation of 2,500 acres in 2019, near the town of Tierra Blanca in the Loreto region (MAAP #112). Letter F indicates an area of high concentration of small-scale deforestation in the central Amazon (Ucayali and Huánuco regions), with cattle ranching as one of the main causes (MAAP #37). Letter G indicates an area of high concentration of deforestation along the Ene River (Junín and Ayacucho regions). In the south (Madre de Dios region), letter H indicates expanding agricultural activity around the town of Iberia (MAAP #98) and letter I indicates deforestation caused by a combination of gold mining and agricultural activity.

Methodology

As noted above, there are three important considerations about the data in our analysis: First, as a baseline, we use annual forest loss from the University of Maryland to have a consistent source across all five countries. Thus, the values may differ from official national data. Second, we applied a filter to only include loss of primary forest in order to better approximate the official methodology and data. Third, the 2019 data represents a preliminary estimate based on early warning alerts.

The baseline forest loss data presented in this report were generated by the Global Land Analysis and Discovery (GLAD) laboratory at the University of Maryland (Hansen et al 2013) and presented by Global Forest Watch. Our study area is strictly what is highlighted in the Base Map.

Specifically, for our estimate of forest cover loss, we multiplied the annual “forest cover loss” data by the density percentage of the “tree cover” from the year 2001 (values >30%).

For our estimate of primary forest loss, we intersected the forest cover loss data with the additional dataset “primary humid tropical forests” as of 2001 (Turubanova et al 2018). For more details on this part of the methodology, see the Technical Blog from Global Forest Watch (Goldman and Weisse 2019).

All data were processed under the geographical coordinate system WGS 1984. To calculate the areas in metric units the UTM (Universal Transversal Mercator) projection was used: Peru and Ecuador 18 South, Colombia 18 North, Western Brazil 19 South and Bolivia 20 South.

Lastly, to identify the deforestation hotspots, we conducted a kernel density estimate. This type of analysis calculates the magnitude per unit area of a particular phenomenon, in this case forest cover loss. We conducted this analysis using the Kernel Density tool from Spatial Analyst Tool Box of ArcGIS. We used the following parameters:

Search Radius: 15000 layer units (meters)
Kernel Density Function: Quartic kernel function
Cell Size in the map: 200 x 200 meters (4 hectares)
Everything else was left to the default setting.

For the Base Map, we used the following concentration percentages: Medium: 10%-20%; High: 21%-35%; Very High: >35%.

References

Goldman L, Weisse M (2019) Explicación de la Actualización de Datos de 2018 de Global Forest Watch. https://blog.globalforestwatch.org/data-and-research/blog-tecnico-explicacion-de-la-actualizacion-de-datos-de-2018-de-global-forest-watch

Hansen, M. C., P. V. Potapov, R. Moore, M. Hancher, S. A. Turubanova, A. Tyukavina, D. Thau, S. V. Stehman, S. J. Goetz, T. R. Loveland, A. Kommareddy, A. Egorov, L. Chini, C. O. Justice, and J. R. G. Townshend. 2013. “High-Resolution Global Maps of 21st-Century Forest Cover Change.” Science 342 (15 November): 850–53. Data available on-line from: http://earthenginepartners.appspot.com/science-2013-global-forest.

Planet Team (2017). Planet Application Program Interface: In Space for Life on Earth. San Francisco, CA. https://api.planet.com

Turubanova S., Potapov P., Tyukavina, A., and Hansen M. (2018) Ongoing primary forest loss in Brazil, Democratic Republic of the Congo, and Indonesia. Environmental Research Letters  https://doi.org/10.1088/1748-9326/aacd1c 

Acknowledgements

Agradecemos a S. Novoa (ACCA), R. Botero (FCDS), A. Condor (ACCA) y G. Palacios por sus útiles comentarios a este reporte.

Acknowledgements

We thank S. Novoa (ACCA), R. Botero (FCDS), A. Condor (ACCA), A. Folhadella (Amazon Conservation), M. Cohen, and G. Palacios for helpful comments to earlier versions of this report.

This work was supported by the following major funders: NASA/USAID (SERVIR), Norwegian Agency for Development Cooperation (NORAD), Gordon and Betty Moore Foundation, International Conservation Fund of Canada (ICFC), Metabolic Studio, Erol Foundation, MacArthur Foundation, and Global Forest Watch Small Grants Fund (WRI).

Citation

Finer M, Mamani N (2020) MAAP Synthesis: 2019 Amazon Deforestation Trends and Hotspots. MAAP Synthesis #4.

MAAP #115: Illegal Gold Mining in the Amazon, part 1: Peru

Posted on by Ana Folhadella
Base Map. The main illegal gold mining areas in the Peruvian Amazon. Data: MAAP.

In a new series, we highlight the main illegal gold mining frontiers in the Amazon.

Here, in part 1, we focus on Peru. In the upcoming part 2, we will look at Brazil.

The Base Map indicates our focus areas in Peru*:

  • Southern Peru (A. La Pampa, B. Alto Malinowski, C. Camanti, D. Pariamanu);
  • Central Peru (E. El Sira).

Notably, we found an important reduction in gold mining deforestation in La Pampa (Peru’s worst gold mining area) following the government’s launch of Operation Mercury in February 2019.

Illegal gold mining continues, however, in three other major areas of the southern Peruvian Amazon (Alto Malinowski, Camanti, and Pariamanu), where we estimate the mining deforestation of 5,300 acres (2,150 hectares) since 2017.

Of that total, 22% (1,162 acres) occurred in 2019, indicating that displaced miners from Operation Mercury have NOT caused a surge in these three areas.

Below, we show a series of satellite videos of the recent gold mining deforestation (2017-19) in each area.

*Recent press reports indicate the increase in illegal gold mining activity in northern Peru (Loreto region), along the Nanay and Napo Rivers, but we have not yet detected associated deforestation.

A. La Pampa (Southern Peru)

In MAAP #104, we reported a major reduction (92%) of gold mining deforestation in La Pampa during the first four months of Operation Mercury, a governmental mega-operation to confront the illegal mining crisis in this area.

The following video shows how gold mining deforestation has declined considerably since February 2019, the beginning of the operation. Note the rapid deforestation during the years 2016-18, followed by a sudden stop in 2019.

B. Alto Malinowski (Southern Peru)

The following video shows gold mining deforestation in a section of the upper Malinowski River (Madre de Dios region). We estimate the mining deforestation of 4,120 acres (1,668 hectares) throughout the Alto Malinowski area during the 2017 – 2019 period.

Of that total, 20% (865 acres) occurred in 2019, indicating that displaced miners from Operation Mercury have not caused a surge in this area adjacent to La Pampa.

According to our analysis of governmental information (see Annex 2), the recent mining activity is likely illegal because: a) much of it occurs outside of titled mining concessions, b) and all of it occurs outside of the mining corridor established for legal mining activity (see Annex 1).

Note that the mining deforestation is within the Kotsimba Indigenous Community territory. However, it has not penetrated Bahuaja Sonene National Park, in part due to the actions of the Peruvian Protected Areas Service (SERNANP).

C. Camanti (Southern Peru)

The following video shows the gold mining deforestation of 944 acres (382 hectares) in the Camanti district (Cusco region), during the 2017 – 2019 period.

Of that total, 21% (198 acres) occurred in 2019, indicating that there has been no increase in mining activity in this area since the beginning of Operation Mercury in February (in contrast to press reports that have suggested that many displaced miners have moved to this area).

According to governmental information (see Annex 2), this mining activity is likely illegal because: a) much of it occurs outside of titled mining concessions, b) all occurs outside of the mining corridor, and c) all occurs inside both a protected forest (Bosque Protector) and buffer zone of the Amarakaeri Communal Reserve.

SERNANP (Peruvian Protected Areas Service) informed us that in December 2019, as part of Operation Mercury, the Public Ministry (Ministerio Público) led an interdiction with the support of law enforcement. Machinery, mining camps, and mercury were destroyed or removed during the raid. In 2020, as part of an extension of Operation Mercury, the Environmental Prosecutor’s Office (FEMA) of the Public Ministry announced that the buffer zone of the Amarakaeri Communal Reserve will be constantly monitored.

D. Pariamanu (Southern Peru)

The following video shows gold mining activity along a section of the Pariamanu River (Madre de Dios region). We estimate the gold mining deforestation of 245 acres (99 hectares) in the Pariamanu area, during the 2017 – 2019 period.

Of that total, 40% (99 acres) occurred in 2019, indicating that there has been a slight increase in mining activity since the beginning of Operation Mercury in February. This finding suggests that displaced miners may be moving to this area.

According to governmental information (see Annex 2), this mining activity is likely illegal because it is not within active mining concessions and outside the mining corridor. Morevoer,  the mining deforestation is within Brazil nut forestry concessions.

E. El Sira (Central Peru)

The following video shows the gold mining deforestation of 52 acres (21 hectares) in the buffer zone of El Sira Communal Reserve (Huánuco region), during the 2017 – 2019 period.

 

Although the mining activity occurs in an active mining concession, a recent report indicates that it is illegal because it does not have the deforestation authorization.

Annex 1: Mining Corridor

The mining corridor is the area that the Peruvian Government has defined as potentially legal for mining activity in the Madre de Dios region via a formalization process. As of 2019, over 100 miners have been formalized in Madre de Dios.

In general, mining activity in the corridor is considered legal, either formaly (the formalization process is completed with environmental and operational permits approved) or informaly (in the process of formalization). Thus, mining activity within the corridor is not considered illegal since it is not a prohibited area.

The following two videos show examples of gold mining deforestation in the mining corridor during 2019.

Annex 2: Land Use Map

For greater context, we present a map of qualifying titles directly related to the mining sector, in southern Peru. Layers include the mining corridor (see above), mining concession status (titled, pending, revoked), indigenous territories, and protected areas.

Land use map for southern Peruvian Amazon mining areas. Data: GEOCATMIN/INGEMMET. Click to enlarge.

Acknowledgements

We thank E. Ortiz (AAF), A. Flórez (SERNANP), P. Rengifo (ACCA), A. Condor (ACCA), A. Folhadella (Amazon Conservation), and G. Palacios for helpful comments to earlier versions of this report.

This work was supported by the following major funders: NASA/USAID (SERVIR), Norwegian Agency for Development Cooperation (NORAD), Gordon and Betty Moore Foundation, International Conservation Fund of Canada (ICFC), Metabolic Studio, Erol Foundation, MacArthur Foundation, and Global Forest Watch Small Grants Fund (WRI).

Citation

Finer M, Mamani N (2020) Illegal Gold Mining Frontiers, part 1: Peru. MAAP: 115.

MAAP #112: Mennonite Colonies – New Deforestation Driver in the Amazon

Posted on by Ana Folhadella
Time-lapse deforestation in the “Tierra Blanca” Mennonite colony in Loreto, Peru. Data: Planet.

The Mennonites, a religious (Christian) group often dedicated to organized agriculture, are increasingly inhabiting the western Amazon (Peru and Bolivia).

Here, we reveal the recent deforestation of 18,500 acres (7,500 hectares) in three Mennonite colonies (see the Base Map below).

The two colonies in Peru (Tierra Blanca and Masisea) are new, causing the deforestation of 6,200 acres since 2017 (including 3,500 acres in 2019) in the Loreto and Ucayali regions.

The colony in Bolivia (Río Negro) is older, but deforestation recently began to increase again, causing the deforestation of 12,350 acres since 2017 in the department of Beni.

Next, we present a series of satellite image videos showing the deforestation in the three Mennonite colonies.

 

 

 

 

 

 

Tierra Blanca (Perú)

The Mennonite colony referred to here as “Tierra Blanca” is located in southern Loreto region, near the town of Tierra Blanca.

Video A shows the deforestation of 4,200 acres in the Tierra Blanca colony since 2017 (Planet link). We note that 2019 experienced the most deforestation (2,470 acres).

 

Masisea (Perú)

The Mennonite colony referred to here as “Masisea” is located in northern Ucayali region, near the town of Masisea.

Video B shows the deforestation of 2,000 acres in the Masisea colony since 2017 (Planet link). We note that 2019 experienced the most deforestation (865 acres).

 

In the detailed map in the Annex, note that the deforestation has reached the limit of a protected area, Imiría Regional Conservation Area. In addition, deforestation has occurred within two native communities (Buenos Aires and Caimito) and a Conservation Concession managed by a Peruvian university.

Río Negro (Bolivia)

The Mennonite colony Río Negro is located in southeastern Beni department. There are several Mennonite colonies in southern Bolivia, but this is one of the first deeper in the Amazon (Kopp, 2015).

Video C shows the deforestation of 12,350 acres in the Río Negro colony since 2017 (Planet link). Much of the deforestation occurred in 2017-18.

 

Annex 1: Base Map

Base Map of Mennonite colonies in Peru and Bolivia. Data: MAAP.

Annex 2: Detailed Maps

Deforestation in the three colonies A) Tierra Blanca, B) Masisea y C) río Negro. Data: UMD/GLAD, Hansen/UMD/Google/USGS/NASA

References

Kopp Ad (2015) Las colonias menonitas en Bolivia. Tierra. http://www.ftierra.org/index.php/publicacion/libro/147-las-colonias-menonitas-en-bolivia

Planet Team (2017). Planet Application Program Interface: In Space for Life on Earth. San Francisco, CA. https://api.planet.com

Acknowledgements

We thank H. Balbuena, A. Condor, and G. Palacios for helpful comments to earlier versions of this report.

This work was supported by the following major funders: Norwegian Agency for Development Cooperation (NORAD), MacArthur Foundation, International Conservation Fund of Canada (ICFC), Metabolic Studio, and Global Forest Watch Small Grants Fund (WRI).

Citation

Finer M, Mamani N (2019) Mennonite Colonies: New Deforestation Driver in the Amazon. MAAP: 112.

 

MAAP #108: Understanding the Amazon Fires with Satellites, part 2

Posted on by Ana Folhadella
Base Map. Updated Amazon fire hotspots map, August 20-26, 2019. Red, Orange, and Yellow indicate the highest concentrations of fire, as detected by NASA satellites that detect fires at 375 meter resolution. Data. VIIRS/NASA, MAAP.

Here we present an updated analysis on the Amazon fires, as part of our ongoing coverage and building off what we reported in MAAP #107.

First, we show an updated Base Map of the “fire hotspots” across the Amazon, based on very recent fire alerts (August 20-26). Hotspots (shown in red, orange, and yellow) indicate the highest concentrations of fire as detected by NASA satellites.

Our key findings include:

– The major fires do NOT appear to be in the northern and central Brazilian Amazon characterized by tall moist forest (Rondônia, Acre, Amazonas, Pará states),* but in the drier southern Amazon of Brazil and Bolivia characterized by dry forest and shrubland (Mato Grosso and Santa Cruz).

– The most intense fires are actually to the south of the Amazon, along the border of Bolivia and Paraguay, in areas characterized by drier ecosystems.

– Most of the fires in the Brazilian Amazon appear to be associated with agricultural lands. Fires at the agriculture-forest boundary may be expanding plantations or escaping into forest, including indigenous territories and protected areas.

– The large number of agriculture-related fires in Brazil highlights a critical point: much of the eastern Amazon has been transformed into a massive agricultural landscape over the past several decades. The fires are a lagging indicator of massive previous deforestation.

– We continue to warn against using satellite-based fire detection data alone as a measure of impact to Amazonian forests. Many of the detected fires are in agricultural areas that were once forest, but don’t currently represent forest fires.

In conclusion, the classic image of wildfires scorching everything in their path are currently more accurate for the unique and biodiverse dry forests of the southern Amazon then the moist forests to the north. However, the numerous fires at the agriculture-moist forest boundary are both a threat and stark reminder of how much forest has been, and continues to be, lost by deforestation.

Next, we show a series of 11 satellite images that show what the fires look like in major hotspots and how they are impacting Amazonian forests. The location of each image corresponds to the letters (A-K) on the Base Map.

*If anyone has detailed information to the contrary, please send spatial coordinates to maap@amazonconservation.org

Zooms A, B: Chiquitano Dry Forest (Bolivia)

Some of the most intense fires are concentrated in the dry Chiquitano of southern Bolivia. The Chiquitano is part of the largest tropical dry forest in the world and is a unique, high biodiversity, and poorly explored Amazonian ecosystem. Zooms A-C illustrate fires in the Chiquitano between August 18-21 of this year, likely burning a mixture of dry forest, scrubland, and grassland.

Zoom A. Recent fires in the dry Chiquitano of southern Bolivia. Data: Planet.
Zoom B. Recent fires in the dry Chiquitano of southern Bolivia. Data: Planet.

Zoom D: Beni Grasslands (Bolivia)

Zoom D shows recent fires and burned areas in Bolivia’s Beni grasslands.

Zoom D. Recent fires and burned areas in Bolivia’s Beni grasslands. Data: ESA.

Zooms E,F,G,H: Brazilian Amazon (Amazonas, Rondônia, Pará, Mato Grosso)

Zoom E-H take us to moist forest forests of the Brazilian Amazon, where much of the media and social media attention has been focused. All fires we have seen in this area are in agricultural fields or at the agriculture-forest boundary. Note Zoom E is just outside a national park in Amazonas state; Zoom F shows fires at the agriculture-forest boundary in Rondônia state; Zoom G shows fires at the agriculture-forest boundary within a protected area in Pará state; and Zoom H shows fires at the agriculture-forest boundary in Mato Grosso state.

Zoom E. Fires at the agriculture-forest boundary outside a national park in Amazonas state. Data: Planet.
Zoom F. Fires at the agriculture-forest boundary in Rondônia state. Data: ESA.
Zoom G. Fires at the agriculture-forest boundary within a protected area in Pará state.
Zoom H. Fires at the agriculture-forest boundary in Mato Grosso. Data: ESA.

Zooms I, J: Southern Mato Grosso (Brazil)

Zooms I and J shows fires in grassland/scrubland at the drier southern edge of the Amazon Basin. Note both of these fires are within Indigenous Territories.

Zoom I. Fires within an Indigenous Territory at the drier southern edge of the Amazon Basin. Data: Planet.
Zoom J. Fires within an Indigenous Territory at the drier southern edge of the Amazon Basin. Data: Planet.

Zooms C, K: Bolivia/Brazil/Paraguay Border

Zooms C and K show large fires burning in the drier ecosytems at the Bolivia-Brazil-Paraguay border. This area is outside the Amazon Basin, but we include it due it’s magnitude.

Zoom C. Recent fires in the dry Chiquitano of southern Bolivia. Data: Planet.
Zoom K. Large fires burning around the Gran Chaco Biosphere Reserve. Data: NASA/USGS.

Acknowledgements

We thank  J. Beavers (ACA), A. Folhadella (ACA), M. Silman (WFU), S. Novoa (ACCA), M. Terán (ACEAA), and D. Larrea (ACEAA) for helpful comments to earlier versions of this report.

This work was supported by the following major funders: MacArthur Foundation, International Conservation Fund of Canada (ICFC), Metabolic Studio, and Global Forest Watch Small Grants Fund (WRI).

Citation

Finer M, Mamani N (2019) Seeing the Amazon Fires with Satellites. MAAP: 108.

MAAP #107: Seeing the Amazon Fires with Satellites

Posted on by Ana Folhadella
Recent fire (late July 2019) in the Brazilian Amazon. Data: Maxar.

Fires now burning in the Amazon, particularly Brazil and Bolivia, have become headline news and a viral topic on social media.

Yet little information exists on the impact on the Amazon rainforest itself, as many of the detected fires originate in or near agricultural lands.

Here, we advance the discussion on the impact of the fires by presenting the first Base Map of current “fire hotspots” across three countries (Bolivia, Brazil, and Peru). We also present a striking series of satellite images that show what the fires look like in each hotspot and how they are impacting Amazonian forests. Our focus is on the most recent fires in August 2019.

Our key findings include:

  • Fires are burning Amazonian forest in Bolivia, Brazil, and Peru.
    .
  • The fires in Bolivia are concentrated in the dry Chiquitano forests in the southern Amazon.
    .
  • The fires in Brazil are much more scattered and widespread, often associated with agricultural lands. Thus, we warn against using fire detection data alone as a measure of impact as many are clearing fields. However, many of the fires are at the agriculture-forest boundary and maybe expanding plantations or escaping into forest.
    .
  • Although not as severe, we also detected fires burning forest in southern Peru, in an area that has become a deforestation hotspot along the Interoceanic Highway.

Given the nature of the fires in Bolivia and Brazil, estimates of total burned forest area are still difficult to determine. We will continue monitoring and reporting on the situation over the coming days.


Base Map

The Base Map shows “fire hotspots” for the Amazonian regions of Bolivia, Brazil, and Peru in August 2019. The data comes from a NASA satellite that detects fires at 375 meter resolution. The letters (A-G) correlate to the satellite image zooms below.

Base Map. Fire Hotspots in the Amazon during August 2019. Data: VIIRS/NASA.

Zoom A: Southern Bolivian Amazon

Fires are concentrated in the dry Chiquitano of southern Bolivia. It is part of the largest tropical dry forest in the world. The fires coincide with areas that have been part of cattle ranching expansion in recent decades (References 1 and 2), suggesting that poor burning practices could be the cause of the fires. Ranching using sown pastures has previously been referred to as a direct cause of forest loss in Bolivia (References 2 and 3). The Bolivian National Service of Meteorology and Hydrology (SENAMHI) issued high wind alerts in July and August for southern Bolivia, which could have led to the expansion of poorly managed fires. Also, August is usually the driest month of the year in this region. These conditions could explain the origin (poor fire practice) and expansion (little rain and strong winds) of the current fires.

Zoom A1. Fire in southern Bolivian Amazon. Data: ESA
Zoom A2. Fire in southern Bolivian Amazon. Data: ESA
Zoom A3. Fire in southern Bolivian Amazon. Data: Planet

Zooms B, C, E, F, G: Western Brazilian Amazon

The major fires in western Brazil seem to be at the agriculture-forest boundary. Note that Zoom B shows fire in a protected area in Amazonas state; Zoom C seems to show fire escaping (or deliberately set) in the primary forests in Rondonia state; and Zooms F and G seems to show fire expanding plantation into forest in Amazonas and Mato Grosso states, respectively.

Zoom B. Fire in a protected area in Amazonas state. Data: ESA
Zoom C. Fires at agriculture-forest boundary in Rondonia state. Data: Sentinel.
Zoom E. Fire escaping (or deliberately set) in the primary forests in Rondonia state. Data: Planet
Zoom F. Fire that seems to be expanding plantation into forest in Amazonas state. Data: Planet.
Zoom G. Fire that seems to be expanding plantation into forest in Mato Grosso state. Data: Planet.
Bonus Zoom. Recent fire in Brazilan Amazon. Data: Planet.

 

Zoom D: Southern Peruvian Amazon

Fires burning forest near the town of Iberia, an area along the Interoceanic Highway that has become a deforestation hotspot in the region of Madre de Dios (see MAAP #28 and MAAP #47).

Zoom D. Fire in southern Peruvian Amazon (near Iberia, Madre de Dios). Data: ESA

Additonal References

We have these to be some of the most informative additional references:

New York Times, Aug 24

Global Forest Watch, Aug 23

Technical References

1 Müller, R., T. Pistorius, S. Rohde, G. Gerold & P. Pacheco. 2013. Policy options to reduce deforestation based on a systematic analysis of drivers and agents in lowland Bolivia. Land Use Policy 30(1): 895-907. http://dx.doi.org/10.1016/j. landusepol.2012.06.019

2 Muller, R., Larrea-Alcázar, D.M., Cuéllar, S., Espinoza, S. 2014.  Causas directas de la deforestación reciente (2000-2010) y modelado de dos escenarios futuros  en las tierras bajas de Bolivia. Ecología en Bolivia 49: 20-34.

3 Müller, R., P. Pacheco & J. C. Montero. 2014. El contexto de la deforestación y degradación de los bosques en Bolivia: Causas, actores e instituciones. Documentos Ocasionales CIFOR 100, Bogor. 89 p.

Acknowledgements

We thank  J. Beavers, D. Larrea, T. Souto, M. Silman, A. Condor, and G. Palacios for helpful comments to earlier versions of this report.

This work was supported by the following major funders: MacArthur Foundation, International Conservation Fund of Canada (ICFC), Metabolic Studio, and Global Forest Watch Small Grants Fund (WRI).

Citation

Novoa S, Finer M (2019) Seeing the Amazon Fires with Satellites. MAAP: 107.

MAAP #105: From satellite to drone to legal action in the Peruvian Amazon

Posted on by Ana Folhadella
ACOMAT member flying a drone for monitoring. Source: ACCA.

Amazon Conservation, in collaboration with its Peruvian sister organization, is implementing a project aimed at linking cutting-edge technology (satellites and drones) with legal action, in the southern Peruvian Amazon (Madre de Dios region).

The project is building a comprehensive deforestation monitoring system with a local group of forestry concessionaires, known as ACOMAT,* who manage over 486,000 acres (see Base Map).

The monitoring system has three basic steps:

1) Real-time deforestation monitoring with satellite-based early warning forest loss alerts.*

2) Verify and document the alerts with drone overflights.*

3) Initiate a criminal complaint with the local environmental prosecuter’s office* (or an administrative complaint with the relevant forestry authorities) if suspected illegalities are found.

Below, we describe 6 cases (A-E) that have been generated from this comprehensive monitoring system.

It is important to emphasize that this type of monitoring system, featuring local forest custodians (such as concessionaires and indigenous communities) is possible to replicate in the Amazon and other tropical forests.

This innovative project is largely funded by the Norwegian Agency for Development Cooperation (NORAD) and International Conservation Fund of Canada (ICFC).

Base Map. The 6 Acomat cases (A-F) described in this report. Data: ACCA, MINAM/PNCB, SERNANP.

Case A. Illegal logging in the “Los Amigos” Conservation Concession

This evidence in this case was obtained from a drone overflight of an area that was the subject of an early warning forest loss alert within Los Amigos Conservation Consession (a conservation area where logging is not permitted). The overflight documented the illegal logging of the timber species known locally as tornillo (Cedrelinga cateniformis) within the concession (see image below).  The drone images were presented to the environmental prosecuter’s office in Madre de Dios as part of a criminal complaint.

Case A. Illegal logging in the Conservation Concession “Los Amigos”, identified with a drone flying over. Source: ACCA.

Case B. Illegal mining in the “Sonidos de la Amazonía” Ecotourism Concession      

The owner of the Sonidos de la Amazonía Ecotourism Concession received an early warning forest loss alert on his cellphone. She then organized a drone overflight and documented active illegal gold mining activity, including infrastructure (see image below). The drone images were presented to the environmental prosecuter’s office in Madre de Dios as part of a criminal complaint.

Case B. Illegal mining in the Tourism Concession “Sonidos de la Amazonía,” identified with drone images. Source: ACCA.

Case C. Illegal mining in the “AGROFOCMA” Forestry Concession    

The owner of the AGROFOCMA forestry (logging) concession received an early warning forest loss alert on his cellphone. He then organized a drone overflight and documented active illegal gold mining activity, including infrastructure (see image below). The drone images were presented to the environmental prosecuter’s office in Madre de Dios as part of a criminal complaint.

Case C. Illegal mining in the Forest Concession “AGROFOCMA,” identified with drone images. Source: ACCA.

Case D. Illegal mining in the “Inversiones Manu” Forestry Concession     

The owner of the Inversiones Manu forestry (logging) concession received an early warning forest loss alert on his cellphone. He then organized a drone overflight and documented active illegal gold mining activity, including workers and infrastructure (see image below). The drone images were presented to the environmental prosecuter’s office in Madre de Dios as part of a criminal complaint.

Case D. Illegal mining in the Forest Concession “Inversiones Manu,” identified with drone images. Source: ACCA.

Case E. Illegal logging in the “Sara Hurtado” Brazil Nut Concession 

The owner of the Sara Hurtado Brazil Nut Concession received an early warning forest loss alert on her cellphone. She then organized a drone overflight and documented active illegal logging activity, including cedar wood planks (see image below). The drone images were presented to the environmental prosecuter’s office in Madre de Dios as part of a criminal complaint.

In a related case, drones also captured images of a nearby collection center and transport truck for the recently logged planks. These images were also presented to the environmental prosecuter’s office as part of a sixth case.

Case E. Illegal logging in the Forest Concession “Sara Hurtado” identified with drone images. Source: ACCA.

*Notes

ACOMAT is the “Asociación de Concesionarios Forestales Maderables y no Maderables de las Provincias del Manu, Tambopata y Tahuamanu.”

The early warning alerts are generated by the Peruvian government (Geobosques/MINAM). GLAD alerts can also be used (these are generated by the University of Maryland and presented by Global Forest Watch). In our case, the concessionaires receive Geobosques alerts in their emails.

We used quadricopter drones. Obtained images are very-high resolution (<5 cm).

The local environmental prosecuter’s office is the “Fiscalía Especializada en Materia Ambiental (FEMA) de Madre de Dios.”

Acknowledgements

We thank S. Novoa (ACCA), H. Balbuena (ACCA), E. Ortiz (AAF), T. Souto (ACA), P. Rengifo (ACCA), A. Condor (ACCA), y G. Palacios for helpful comments on earlier drafts of this report.

This work supprted by the following funders:  Norwegian Agency for Development Cooperation (NORAD), International Conservation Fund of Canada (ICFC), MacArthur Foundation, Metabolic Studio.

Citation

Guerra J, Finer M, Novoa S (2019) From satellite to drone to legal action in the Peruvian Amazon. MAAP: 105.

 

MAAP #104: Major Reduction in Illegal Gold Mining from Peru’s Operation Mercury

Posted on by Ana Folhadella
Graph 1. Illegal gold mining deforestation in La Pampa, 2017-19. Data: ACA, MAAP.

In February 2019, the Peruvian government launched Operation Mercury (Operación Mercurio), a major multi-sectoral crackdown on the illegal gold mining crisis in the area known as La Pampa,* located  in the southern Peruvian Amazon (Madre de Dios region). Note that this area is not within Tambopata National Reserve, but in its buffer zone.

In this report, we present the results of our analysis on the initial impacts of this Operation.

We found a major reduction in gold mining deforestation in La Pampa in 2019, compared to the same time period (February – June) of the previous two years (see Graph 1).

In fact, the gold mining deforestation decreased 92% between 2018 (900 hectares) and 2019 (67 hectares), representing the situation before and after the start of Operation Mercury.

The Base Map illustrates how the expansion of gold mining deforestation greatly dropped in 2019 compared to the two previous years, especially in the eastern front. The letters (A-C) correspond to the location of the Zooms, below.

The analysis also reveals, however, that the gold mining deforestation in La Pampa has not yet been completely eradicated and continues in numerous remote and isolated areas.

Base Map. Illegal gold mining deforestation in La Pampa. Data: ACCA, MAAP, SERNANP.

Zoom A1 shows the critical eastern front of the gold mining deforestion between February (left panel) and June (right panel) 2019, the first five months of Operation Mercury. While the rapid eastward expansion of the front has greatly decreased, the red circles indicate areas where we have detected isolated mining activity.

Zoom A1. Eastern front of the gold mining deforestation in La Pampa. Data: ESA, MAAP.

High Resolution Zooms

Zoom B shows the eradication of one of the biggest mining camps in La Pampa between 2018 (left panel) and 2019 (right panel).

Zoom B. Eradication of major gold mining camp. Data: Maxar.

The following Zooms show examples of the persistence of isolated illegal gold mining activity and infrastructure in La Pampa, with recent (June 2019) high resolution satellite and drone images. The letters (A2, C1, C2) correspoind to the Base Map, above.

Zoom A2. Data: Maxar, MAAP.
Zoom C1. Data: ACCA.
Zoom C2. Data: ACCA.

Google Earth Engine App

We present a new app, developed with Google Earth Engine, that allows an interactive visualization of the evolution of gold mining deforestation in La Pampa. The app allows the user to take advantage of Google’s powerful computers to compare (with a slider) different dates from a large archive of Sentinel-1 satellite images (see screenshot, below). Sentinel-1 is radar, so there are no clouds in the images.

https://luciovilla.users.earthengine.app/view/mining-monitoring-by-sar-sentinel-1

 

Screen shot of the app. Data: ESA, MAAP

Notes 

*La Pampa is the sector located in the buffer zone of Tambopata National Reserve, delimited by the northern boundary of the reserve, the Malinowski River and the Interoceanic Highway.

Full study area of La Pampa (shaded). Data: ACCA, MAAP.

Acknowledgements

We thank S. Novoa (ACCA), H. Balbuena (ACCA), E. Ortiz (AAF), T. Souto (ACA), P. Rengifo (ACCA), A. Condor (ACCA), y G. Palacios for helpful comments on earlier drafts of this report.

This work supprted by the following funders:  Norwegian Agency for Development Cooperation (NORAD), International Conservation Fund of Canada (ICFC), MacArthur Foundation, Metabolic Studio, and Global Forest Watch Small Grants Fund (WRI).

Citation

Villa L, Finer M (2019) Major Reduction in Illegal Gold Mining from Peru’s Operation Mercury. MAAP: 104.