MAAP #104: Major Reduction In Illegal Gold Mining From Peru’s Operation Mercury

Graph 1. Illegal gold mining deforestation in La Pampa, 2017-19. Data- ACA, MAAP.
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
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
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
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 A2. Data- Maxar, MAAP

Zoom C1. Data- ACCA
Zoom C1. Data- ACCA

Zoom C2. 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
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.

Peru’s Operation Mercury, a win for forests: We observed a 92% decrease in deforestation

Peru's Operation Mercury, a win for forests- We observed a 92% decrease in deforestationEarlier this year, the government of Peru launched a multi-sectoral and comprehensive mega-operation aimed at eradicating illegal mining and associated crime in La Pampa, Peru, called Operation Mercury. The operation came about in part after Amazon Conservation, through our real-time monitoring program, provided the Peruvian government with key information on the location of illegal mining camps that enabled the government to take coordinated action.

The operation, named after the mercury contaminant that is released into the water as a byproduct of the mining process, took the information we provided and began major efforts to stop the widespread deforestation in the area caused by illegal miners, improve development in the region, and deter other illicit activities such as sex trafficking and child labor that take place in mining camps.

Using our real-time satellite technology and drone overflights, we have been assessing the success of the operation in stopping illegal gold mining. To date, we have found a major reduction in deforestation from gold mining in La Pampa due to the operation. Gold mining-based deforestation has decreased by 92% between 2018 (2,200 acres) and 2019 (165 acres), comparing the situation before and after the start of Operation Mercury.

Despite its significant success, the gold mining deforestation in La Pampa has not yet been completely eradicated and continues in numerous remote and isolated areas, as we show in our latest MAAP report. However, the results of the operation are a big win for conservation, as they show that strong government action can help curb illegal deforestation. And when action does take place, we have seen that forests begin to recover and grow back.  

Amazon Conservation will continue to assess the progress of the operation, and work closely with the government to produce fact-based reports that can be turned into action on the ground.

New York Times Op-Ed: Our Co-Founder Enrique Ortiz comments on how to save the Amazon 

Our Co-Founder and Ecologist Enrique Ortiz made the news recently through an opinion piece on what can be done to reverse current trends in deforestation and ensure that economic development in the Amazon is not at odds with conservation.

Although deforestation in the Amazon is on the rise, Ortiz highlights that recent success stories show that policies could be established to reverse the trend, at a relatively low cost compared with other climate change mitigation strategies. Incentives for small- and large-scale producers can promote sustainable agricultural practices when farmers tap into underutilized land and improve efficiencies, and economic incentives could encourage reforestation.

Amazon Conservation is implementing many of these conservation solutions on the ground right now, including training farmers and forest users on how to conserve their land and showing them the economic benefits of conservation. Forest users working with Amazon Conservation have seen significant increases in their income because the forest products they harvest are coming from healthier forests. 

Read the full article at The New York Times.

MAAP #102: Saving The Ecuadorian Chocó

Chocó endemic, Long-wattled Umbrellabird. ©Stephen Davies
Chocó endemic, Long-wattled Umbrellabird. ©Stephen Davies

Chocó endemic, Long-wattled Umbrellabird. ©Stephen Davies

The Ecuadorian Chocó, located on the other (western) side of the Andes Mountains from its Amazonian neighbor, is renowned for its high levels of endemic species (those that live nowhere else on Earth).

It is part of the “Tumbes-Chocó-Magdalena” Biodiversity Hotspot, home to numerous endemic plants, mammals, and birds (1,2), such as the Long-wattled Umbrellabird.

It is also one of the most threatened tropical forests in the world (1).

Here, we conduct a deforestation analysis for the northern Ecuadorian Chocó (see Base Map below) to better understand the current conservation scenario. Importantly, we compare the original forest extent (left panel) to the actual forest cover (right panel).

We document the loss of over 60% (1.8 million hectares) of low, mid, and upper elevation forest (compare the three tones of green between panels).

See our other Key Results below.

 

Base Map

Base Map. Ecuadorian Chocó, original forest extent (left panel) vs. actual forest cover (right panel). Data- MAE, Hansen:UMD:Google:USGS:NASA
Base Map. Ecuadorian Chocó, original forest extent (left panel) vs. actual forest cover (right panel). Data- MAE, Hansen:UMD:Google:USGS:NASA

 

Key Results

Our key results include:*

 

Key Results, Ecuadorian Chocó. Data- MAAP, MAE, Hansen:UMD:Google:USGS:NASA
Key Results, Ecuadorian Chocó. Data- MAAP, MAE, Hansen:UMD:Google:USGS:NASA
  • 61% forest loss (1.8 million hectares) across all three elevations.
    • 68% loss (1.2 million ha) of lowland rainforest,
    • 50% loss (611,200 ha) of mid and upper elevation forests.
      .
  • 20% of the forest loss (365,000 ha) occurred after 2000.
    • 4,650 ha lost during most recent 2017-18 period (mostly in lowlands).
  • 39% total forest remaining (1.17 million ha) across all three elevations.
    • Just 32% (569,000 ha) lowland rainforest remaining.
  • 99% of Cotacachi-Cayapas Ecological Reserve remaining.
  • 61% of Mache-Chindul Ecological Reserve remaining.

*Forest loss data corresponds to the study area indicated in the Base Map. Data sources: pre-2017 from Ecuadorian Environment Ministry; 2017-18 from University of Maryland (Hansen 2013). Elevation definitions: Lowland forest <400 meters (dark green), mid-elevation forest 400-1000 m (olive green), and upper elevation forest >1000 m (bright green).

 

High Resolution Zooms

In the Base Map, we indicate two areas (insets A and B) where we zoom in with high-resolution satellite imagery to see what recent deforestation looks like in the region.

Zoom A shows the deforestation of 380 hectares directly to the north of an oil palm plantation, possibly for an expansion.

Zoom B shows the deforestation of 50 hectares with the Chachi Indigenous Reserve.

Zoom A. Data- Planet, ESA, MAAP
Zoom A. Data- Planet, ESA, MAAP
Zoom B. Data- Planet, MAAP
Zoom B. Data- Planet, MAAP

 

Conservation Opportunity

Efforts are underway to protect a critical stretch of low to mid elevation Chocó forest to the west of Cotacachi-Cayapas Ecological Reserve.

Chocó Conservation Opportunity. Data- Jocotoco Foundation, MAE, Hansen:UMD:Google:USGS:NASA.
Chocó Conservation Opportunity. Data- Jocotoco Foundation, MAE, Hansen:UMD:Google:USGS:NASA.

It involves the unique opportunity to acquire over 22,000 hectares of forest that would help safeguard connectivity between public and private conservation and indigenous areas. Connecting these areas provides the only opportunity to protect the entire altitudinal gradient from 100-4900 m on the western slope of the tropical Andes. It will also establish an effective buffer zone for governmental reserves and reduce the socio-economic vulnerability of local communities.

To support this effort, please contact the Jocotoco Foundation (Martin.Schaefer@jocotoco.org) or the International Conservation Fund of Canada (carlos@ICFCanada.org).

 

References

1) Critical Ecosystem Partnership Fund (2005) Ecosystem Profile: Tumbes-Chocó-Magdalena. Link: https://www.cepf.net/our-work/biodiversity-hotspots/tumbes-choco-magdalena

2) Mittermeier RA et al (2011) Global Biodiversity Conservation: The Critical Role of Hotspots. Biodiversity Hotspots, 3-22.

 

Acknowledgements

We thank M. Schaefer (Jocotoco), C. Garcia (ICFC), D. Pogliani (ACCA), S. Novoa (ACCA), R. Catpo (ACCA), H. Balbuena (ACCA) y T. Souto (ACA) for helpful comments on earlier versions of this report.

 

Citation

Finer M, Mamani N (2019) Saving the Ecuadorian Chocó. MAAP: 102.

MAAP #101: Deforestation Continues in Columbian Amazon (2019)

Overflight photo of recent deforestation in Chiribiquete National Park. Credit: FCDS/RFN/AAF.

A major deforestation surge continues in the northwest Colombian Amazon (MAAP #97).

In 2018, it resulted in the loss of 199,000 hectares (491,700 acres)*, making it the most concentrated deforestation hotspot in the entire western Amazon (MAAP #100).

Here, we provide a real-time update for 2019 based on early warning GLAD alerts.** The alerts indicate the loss of 56,300 hectares (139,100 acres) in the first five months of 2019 (January to May) in the Colombian Amazon.

The Base Map (see below) shows the deforestation hotspots are again concentrated in the northwest Colombian Amazon.

We focus on Chiribiquete National Park, showing satellite imagery and overflight photos for two sections of the park experiencing recent deforestation.***

We estimate the deforestation of 2,200 hectares (5,400 acres) inside the Park since its expansion in July 2018.

As described below, one of the main deforestation drivers in the region is conversion to pasture for land grabbing or cattle ranching.

 

 

 

 

Conserving Palms to Conserve Tropical Birds

Los Amigos Bird Observatory | Cotingas, manakins, and toucans are among the many fruit-eating birds found in the tropical forest. Unlike the species in temperate zones, tropical bird species have evolved to depend on this resource year-round. However, fruits are a food supply that can be highly patchy in time and space. In areas with pronounced wet and dry seasons, fruit abundance typically peaks during the wet season and is lowest during the dry season. Now, with the end of the rainy season, the abundance is coming to an end. So what will the fruit-eating birds rely on?

Deforestation update: Our analysis of deforestation hotspots in the western Amazon

Through Amazon Conservation’s Monitoring of the Andean Amazon Project (MAAP), we identify, analyze, track, and publicize deforestation taking place in the Amazon in real-time using high-tech, satellite imagery. We use this information to make local authorities, policymakers, and the general public aware of what is happening on the ground.

Deforestation update- Our analysis of deforestation hotspots in the western AmazonRecently, we conducted an in-depth analysis of 2018 data on forest cover loss and found that 2.5 million acres were deforested in the western Amazon (Colombia, Peru, Ecuador, Bolivia, and western Brazil) last year. An average of 5 acres was lost per minute to deforestation last year. Our additional analysis indicated that, of this total, 1.9 million acres were primary forests, which play a vital role as carbon sinks, mediators of the global water cycle and cradles of biodiversity. 

The combination of forces driving deforestation varies in each country. Land grabbing, unsustainable agricultural activities and expansion, and gold mining were among the key drivers of deforestation that we identified in this region.  

Read more on our 100th MAAP Report.

MAAP #100: Western Amazon – Deforestation Hotspots 2018 (A Regional Perspective)

For the 100th MAAP report, we present our first large-scale western Amazon analysis: Colombia, Peru, Ecuador, Bolivia, and western Brazil (see Base Map).

We use the new 2018 data for forest cover loss, generated by the  University of Maryland (Hansen et al 2013) and presented by Global Forest Watch.

These data indicate 2.5 million acres of forest cover loss in the western Amazon in 2018.*

We conducted an additional analysis that indicates, of this total, 1.9 million acres were primary forest.*

Base Map. Deforestation Hotspots in the western Amazon. Data: Hansen/UMD/Google/USGS/NASA, GFW, SERNANP, SNAP, SINAP, SERNAP, RAISG
Base Map. Deforestation Hotspots in the western Amazon. Data: Hansen/UMD/Google/USGS/NASA, GFW, SERNANP, SNAP, SINAP, SERNAP, RAISG

To identify deforestation hotspots consistently across this vast landscape, we conducted a kernel density analysis (see Methodology).

The Base Map shows the hotspots in yellow, orange and red, indicating areas with medium, high, and very high forest loss concentrations, respectively.

Next, we focus on five zones of interest (Zooms A-E) in Colombia, Brazil, Bolivia, and Peru. For all images, please click to enlarge.

*Forest Cover Loss: 5 acres per minute. Almost half (49%) occurred in Brazil, followed by Peru (20%), Colombia (20%), Bolivia (8%), and Ecuador (3%). see Annex.

**Primary Forest Loss: 3.5 acres per minute. Over half (53%) occurred in Brazil, followed by Peru (20%), Colombia (18%), Bolivia (7%), and Ecuador (2%). see Annex.

 


Colombia

The largest concentration of 2018 forest loss is in the northeast Colombian Amazon (494,000 acres). Out of this total, 11% (56,800 acres) occurred in national parks. National experts indicate that land grabbing has emerged as a leading direct driver of deforestation (Arenas 2018). See MAAP #97 for more information.

Zoom A shows the forest loss expanding towards western Chiribiquete National Park, including distinct deforestation in this protected area during 2018.

Zoom B shows the extensive 2018 deforestation (30,000 acres) within Tinigua National Park. A recent news report indicates that cattle ranching is one of the factors related to this deforestation.

Zoom A. Colombia-Chiribiquete. Data: Hansen/UMD/Google/USGS/NASA, SINAP, Planet, ESA
Zoom A. Colombia-Chiribiquete. Data: Hansen/UMD/Google/USGS/NASA, SINAP, Planet, ESA
Zoom B. Colombia – Tinigua. Data: Hansen/UMD/Google/USGS/NASA, SINAP, Planet, ESA
Zoom B. Colombia – Tinigua. Data: Hansen/UMD/Google/USGS/NASA, SINAP, Planet, ESA

 


Brazil (border with Bolivia)

Another important result is the contrast between northern Bolivia (Pando department) and adjacent side Brazil (states of Acre, Amazonas, and Rondônia). Zoom C shows several deforestation hotspots on the Brazilian side, while the Bolivian side is much more intact.

Zoom C. Brazil, Bolivia border. Data: Hansen/UMD/Google/USGS/NASA, ESA, RAISG
Zoom C. Brazil, Bolivia border. Data: Hansen/UMD/Google/USGS/NASA, ESA, RAISG

 


Bolivia

In Bolivia, the major forest loss hotspots are further south. Zoom D shows the recent deforestation (5,000 acres in 2018) due to agricultural activity associated with one of the first major Mennonite settlements in Beni department (Kopp 2015). The other Mennonite settlements are located further south.

Zoom D. Bolivia, Black River Mennonite settlement. Data: Hansen/UMD/Google/USGS/NASA, SERNAP, Planet
Zoom D. Bolivia, Black River Mennonite settlement. Data: Hansen/UMD/Google/USGS/NASA, SERNAP, Planet

Peru

The Hansen data indicates over 200,000 acres of forest loss during 2018 in the Peruvian Amazon. One of the most important deforestation drivers, especially in southern Peru, is gold mining. We estimate 23,000 acres of gold mining deforestation during 2018 in the southern Peruvian Amazon (see MAAP #96).

Zoom E shows the most emblematic case of gold mining deforestation: the area known as La Pampa.

It is important to emphasize, however, that in February 2019 the Peruvian government launched “Operation Mercury 2019” (Operación Mercurio 2019), a multi-sectoral and comprehensive mega-operation aimed at eradicating illegal mining and associated crime in La Pampa, as well as promote development in the region.

Zoom D. Peru – La Pampa. Data: Hansen/UMD/Google/USGS/NASA, SERNAP, Planet
Zoom D. Peru – La Pampa. Data: Hansen/UMD/Google/USGS/NASA, SERNAP, Planet

Annex

Annex. Forest cover and primary forest loss in the western Amazon.  Data: Hansen/UMD/Google/USGS/NASA, Global Forest Watch.
Annex. Forest cover and primary forest loss in the western Amazon.  Data: Hansen/UMD/Google/USGS/NASA, Global Forest Watch.

Methods

The 2018 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 presented in the Base Map: the areas within the Amazonian biogeographic boundary of the western Amazon.

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 2000 (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 / 9.88 acres)

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

Arenas M (2018) Acaparamiento de tierras: la herencia que recibe el nuevo gobierno de Colombia. Mongabay, 2 AGOSTO 2018. https://es.mongabay.com/2018/08/acaparamiento-de-tierras-colombia-estrategias-gobierno/

Goldman L, Weisse M (2019) Technical Blog: Global Forest Watch’s 2018 Data Update Explained. 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.

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

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 M. Terán (ACEAA), M. Weisse (GFW/WRI), A. Thieme (UMD), R. Catpo (ACCA) and A. Cóndor (ACCA) for helpful comments to this report.


Citation

Finer M, Mamani N (2019) Western Amazon – Deforestation Hotspots 2018 (a regional perspective). MAAP: 100.

Global Big Day at Los Amigos: 331 Species Sighted!

Exploring the trails of the station

The Global Big Day (GBD) is a date in which amateurs and experts in birds from around the world seek to see the greatest number of species in their locality. However, it is not only a date in which healthy competition between countries is observed, but also a great opportunity to educate about the diversity of birds worldwide. Like every year, at Los Amigos we were eager to participate in this event and give our best.

At the station, three bird guides from the regions of Madre de Dios and Cusco led this year’s GBD. Jose Luis Avendaño, Percy Avendaño and Cesar Bollatty have more than 20 years of experience touring Peru, including numerous visits to the station. Their knowledge of the species in the area and the station was key to end the day with a total of 331 species sighted, a new record for the station in a GBD.

On May 4, at 4:30 in the morning we were already on the trails in search of the most nocturnal species. Among them we recorded the Crested Owl (Lophostrix cristata), the Long-tailed Potoo (Nyctibius aethereus) and the Ocellated Poorwill (Nyctiphrynus ocellatus). The search for the various species of the station continued until 3:30 in the afternoon, when a heavy rain caused the forest to be silenced and we had to stop our search. After eleven hours of intense search, we are the second group with the most species sighted in Peru!

Although we could not spot species such as the Pale-winged Trumpeter (Psophia leucoptera) and the Cocoi Heron (Ardea cocoi), species commonly sighted in Los Amigos, we managed to spot other species not so easily observed in other places. The Pavonine Quetzal (Pharomachrus pavonivus), the Great Jacamar (Jacamerops aureus), the Royal Flycatcher (Onychorhynchus coronatus), the Spangled Continga (Cotinga cayana) and the Bar-bellied Woodcreeper (Hylexetastes stresemanni) are among the rare species that we spotted during this event.

A Long-billed Starthroat  (Heliomaster longirostris) spotted at the station. PC: Jose Luis Avendaño

Jose Luis Avendaño, Percy Avendaño y Cesar Bollatty after a long day of birdwatching. PC: Arianna Basto.

The Global Big Day 2019 was a great day for Los Amigos. Everyone who participated had a great day, enjoying the diversity offered by the station and always learning a little more. I’m sure the birders around the world enjoyed May 4th as much as we did at the station!

MAAP #99: Detecting Illegal Logging In The Peruvian Amazon

New logging road in the Peruvian Amazon. Data: Planet.

In the Peruvian Amazon, most of the logging is selective (not clearcutting), with the targets being higher-value species. Thus, illegal logging is difficult to detect with satellite imagery.

In MAAP #85, however, we presented the potential of satellite imagery in identifying logging roads, which are one of the main indicators of logging activity in the remote Amazon.

Here, we go a step further and show how to combine logging road data with additional land use data, such as forestry licenses and concessions, to identify possible illegal logging.

This analysis, based in the Peruvian Amazon, has two parts. First, we identify the construction of new logging roads in 2018, updating our previous dataset from 2015-17 (see Base Map).

Second, we analyze these new logging roads in relation to addition spatial information now available on government web portals,* in order to identify possible illegality.

*We analyzed information on several websites now available from national and regional authorities, such as SISFOR (OSINFOR), GEOSERFOR (SERFOR), and IDERs (Spatial Data Infrastructure of Regional governments). These new resources provide valuable information, however, may have limitations in ability to constantly update information on the status of concessions and forest permits.