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I have taught in several public schools, substitute taught at various schools in several different states, taught at a private school, taught at a homeschool co-op, taught in a GED program at a community college, have tutored K subjects, and have now homeschooled for over ten years. If imagery for previous months were poor quality or covered by clouds, the actual deforestation event may have happened before the reported month. Prime Book Box for Kids. In Madame Montessori became the first woman to graduate from the University of Rome Medical School and then she joined the staff of the University Psychiatric Clinic. For more information, see the Interactive Forest Atlas of Gabon. The Illustrated Story of Copyright , Edwardsamuels. Eastview Church Church deploys full stack to provide a reliable network to 6, attendees MX Security Appliance provides secure resource backup to disaster recovery site Systems Manager makes it easy to push out internal resources to staff devices Read More.

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Remington College Thousands of users over 20 campuses nationwide, managed over the web centrally Hassle-free deployment of wireless access points — one day for each college campus Superior control and reporting functionality ease IT burden Read More. EPIC Management Healthcare management and consulting services firm deploys self-healing mesh network Cloud-based management empowers one remote help desk to solve client issues Clune Construction Unified wireless network enables seamless mobility for multi-site construction firm Plug and play APs with mesh routing facilitate fast deployment at remote job sites Reliable WiFi supports heavy file transfer on mobile devices Read More.

Westmont College Liberal arts college blankets acre campus with wireless for over 1, students 1, clients access Meraki network each day, transferring over GB of data Limited IT staff troubleshoots connectivity over the web, without special training Watch the Video. Ecole Lemania Swiss, multi-lingual college provides education for students from around the world Meraki APs, switches, and security appliance provide reliable and robust networking Custom policies provide fine-grained control over end user devices Read More.

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Tri-Creek School Corporation High-performance cloud managed WiFi provides reliable district-wide connectivity APs deployed in just minutes each, from unboxing to final configuration Layer 7 application visibility provide insight into users, devices, and applications Read More.

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Bremerton School District School district in Washington serves over 5, students Deployment of iPod Touches for classroom learning requires robust wireless connectivity Cloud-based management sped deployment, lowered cost Watch the Video.

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Oulu University of Applied Sciences One of the largest universities in Finland with 8, students Hybrid network caused challenges due to lack of overview Meraki dashboard makes monitoring and troubleshooting easy Read More. Yongsan International School of Seoul International school in Korea deploys Meraki full stack 3 IT team members can easily pinpoint issues and troubleshoot via dashboard Since deploying Meraki, support requests to IT have decreased significantly Read More.

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Grab Technology company in Southeast Asia using Meraki to manage their network Operating in more than 35 cities, centrally managed using Meraki dashboard Lean IT able to deploy the network at new offices in one day Read More Learn More.

InterContinental Hotels Group International hotel group with more than 5, hotels around the world Needed to stay on cutting edge to provide superior guest experience Guest satisfaction has improved by more than 10 percent since deploying Meraki Learn More.

British School of Bucharest Installation of reliable WiFi network enables future-oriented learning environment High scalability for expanding campus, use of traffic shaping and security features Intuitive management of the network with limited IT resources Read More. Gemeente Kalmthout Belgische gemeente met inwoners Zeven locaties beheerd met Meraki full stack Troubleshooten op afstand bespaart team veel tijd Read More.

Moreland School District Endpoint management solution required to manage 1, iPads district-wide Meraki Systems Manager implemented to set up student profiles and push new apps Easily troubleshoot network issues from the AP to the device to the provider Read More. Brooklyn Public Library Deployed Meraki access points and switches at all 59 branches Control library-owned devices with Meraki endpoint management IT team and staff can focus on offering the best experiences for visitors Read More.

N Kid Group Tiniworld Family edutainment centre in Vietnam needed to upgrade to a reliable network Meraki wireless providing reliable and secure guest WiFi for parents at centres Ease of management of multiple centres by lean IT team with Meraki dashboard Read More. The City of New Haven Required a network that could support 1, government employees across 55 sites Deployed switches and access points city-wide for improved connections Remotely manage switches, APs, Z1s, and endpoints all from the same interface Read More.

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If you are aware of plantation concession data for additional countries, please email us here. This data layer shows the boundaries of agro-industrial zones, where oil palm and rubber tree plantations, as well as other crops, may be established.

In Cameroon, industrial agriculture falls outside of the National Forest Estate. Agricultural plantations are allocated by the Ministry of Economy and Planning to private entities under long-term, renewable contracts, which are then monitored by the Ministry of Agriculture.

The agro-industrial data set was mapped using satellite imagery, with ground-truthing to determine the crop type and operating company.

Official documentation was often lacking, so boundaries should be considered approximate and nonexhaustive. This data set, produced by the Indonesia Ministry of Forestry, provides the boundaries of current or planned oil palm plantations in Indonesia. This data set is known to be incomplete, but it is currently the best available.

This data set provides the boundaries of known oil palm plantations for Liberia and was compiled by Global Witness from available government maps. Information provided with this data set includes company, ownership group, and land area. This data set provides the boundaries for oil palm plantations according to the Republic of the Congo Ministry of Agriculture.

This data set displays oil palm concessions as a single layer assembled by aggregating concession data for multiple countries. This data set provides the boundaries of known oil palm concessions for the state of Sarawak, Malaysia, and was compiled from available public documents. Where available, associated information provided with this data set includes licensee name, permit number Operational Ticket , corporate grouping, permit date, and official license area.

This data set also includes areas under License for Planted Forest LPF agreements where oil palm has been planted for one rotation, where available. The data set combines the boundaries of oil palm licenses obtained from Environmental Impact Assessment EIA reports for individual oil palm and LPF concessions spanning various dates and a regional State Forestry Department map from for northern Sarawak.

Licenses and licensee subsidiaries have been attributed to major corporate groups based on published company records and secondary sources. A number of the oil palm concession licenses are split into non-contiguous parts. These 'Parts' are not official names, but rather naming conventions used in the GIS cleaning of the data.

This data set displays wood fiber concessions as a single layer assembled by aggregating concession data for multiple countries. This data set, produced by the Indonesia Ministry of Forestry, provides the boundaries of current or planned wood fiber plantations in Indonesia.

This data set is known to be incomplete, but it is compiled from the best information currently available. This data set provides the boundaries for eucalyptus and other plantations in the Republic of the Congo. LPFs have a maximum tenure of 60 years, and must be over 1, hectares in size. Though they are designed for the purpose of planting of timber trees mostly acacia , licensees are permitted to plant a portion of their licensed area with oil palm trees for a single rotation.

Where information on the areas within LPFs allotted for oil palm is available, the boundaries of these areas have been plotted and included in the separate dataset on oil palm concessions in Sarawak. Information on the permit issuance date, official total area in hectares, and plantable area in hectares for LPF licenses has been obtained directly from EIA reports or from secondary sources which have drawn on such reports.

Information on area of each LPF license planted up to where provided has been obtained from official published reports or websites of relevant companies. It should be noted that it is common for LPF licenses to overlap with current Timber Licenses see separate logging concession dataset for Sarawak. In such instances, LPF clearance and planting only proceeds in individual zones within the LPF when the Timber License holder has completed its own activities.

This data is not official data from the Indonesian Ministry of Environmental and Forestry. As a result, this data may differ from official data and there may be inaccuracies. Over 35 times the size of Singapore, this majestic and ancient ecosystem covers more than 2. The Leuser Ecosystem is the last place on earth where orangutans, rhinos, elephants, and tigers co-exist in the wild.

The Leuser Ecosystem is the only remaining habitat left in Sumatra large enough to sustain viable populations of these species. The Leuser Ecosystem is an essential asset for the economic development of Aceh, providing a total economic value of at least million US dollars per year. The Leuser Ecosystem acts as a life-support system for approximately four million people in Aceh.

The primary ecosystem services are fresh water provision and disaster mitigation. The forests of the Leuser Ecosystem act as a sponge, soaking up the downpours of the rainy season and spreading out the release of water downstream more evenly across the months. Deforestation of this environmentally sensitive area is having a dramatic impact by increasing the damage caused by flooding and landslides, and causing economic damage to communities and downstream industry.

Locally and globally, the Leuser Ecosystem also has immense environmental value due to its role in climate regulation and carbon storage. Efforts to conserve the Leuser Ecosystem date as far back as the early 19th century, when the traditional leaders of Aceh lobbied the colonial government to protect their natural heritage, ranging from the mountains all the way down to the coast.

More recent laws have served to strengthen the protection of the Leuser Ecosystem and placed the responsibility for managing its protection and restoration with the Aceh Provincial Government Article of National Law on Governing Aceh No.

The concession grants the licensee the exclusive right to the sustainable use of natural resources granted under the conditions and limitations established by the respective title. The concession grants the holder the right to use and enjoy the natural resource granted and, consequently, ownership of the fruits and products extracted.

Learn more at www. Muestra las concesiones forestales otorgadas por la autoridad forestal y supervisadas por el Organismo de Supervisión de los Recursos Forestales y de Fauna Silvestre OSINFOR para productos maderables, productos forestales no maderables, conservación, ecoturismo, fauna silvestre, forestación, y reforestación.

La concesión otorga al concesionario el derecho exclusivo de aprovechamiento sostenible del recurso natural concedido, de acuerdo con las condiciones y limitaciones establecidas en el título de concesión. La concesión otorga a su titular el derecho de uso y explotación del recurso natural concedido y, en consecuencia, la propiedad de los frutos y productos a extraerse. El estado de supervisión también se indica en los datos de atributos de cada polígono, e incluye:. Cita sugerida para los datos desplegados en GFW: Accedido a través de Global Forest Watch el [fecha].

The validation of the map was done using field data as well as through a grid of control points spread 3 km apart for the entire country 15, points total. The overall accuracy of the map was determined to be The administrative boundaries of the basemap are from Open Street Map and only used to coordinate with other layers in the map. A través de esta validación, se determinó que la precisión de las 26 categorías, es de Usamos aquí los limites políticos-administrativos de Open Street Map solamente para relacionarlo con otras capas en el mapa.

RapidEye satellite imagery from was acquired and analyzed to produce a map of the spatial distribution of forest types within the country. In addition to mapping of eight different forest types, the map also portrays the extent and distribution of fifteen categories of human land use.

In contrast to earlier forest maps of Honduras, this version expands on other categories of wooded vegetation, including secondary vegetation, coffee and agroforestry areas, and information on trees outside of forests. Pastures and agricultural fields are also aggregated into one category and comprise the second largest land cover class. Accessed through Global Forest Watch on See the data in the original webmap here. El mapa se generó a partir de imagenes satélites de RapidEye para el año , adquiridas y analizados para producir un mapa de la distribución de los tipos de bosque en el país.

Ademas de mapear los ocho tipos del bosque, el mapa también muestra la extensión y la distribución de 15 categorías del uso de suelo. Los pastos y cultivos son agregados en una sola categoría, que es la segunda mayor categoría de uso de suelo en el mapa. Accedido a través de Global Forest Watch en Visualice los datos originales aquí. Logging roads are often a first step to deforestation and forest degradation, but they are generally remote and sporadically used, making them difficult to monitor.

Volunteers use satellite imagery to trace roads and identify the date the road appears. Indicators of ecosystem health are grouped into the categories of river fragmentation, biodiversity, and water quality. The database was created and published by International Rivers in The Dam Hotspots data contains over 5, dam locations determined by latitude and longitude coordinates.

The data set comes from multiple sources, and was corrected for location errors by International Rivers. Conservation data measure information that is important for preservation and enhancement of protected areas and natural resources such as biodiversity. Therefore, the associated IUCN category and its description of protection may also vary by country. Protected areas with no boundary data are displayed as brown dotted boxes, which represent the reported protected area size.

The box is centered around a single point location and the borders do not indicate the real boundary of the protected area. Protected area data are provided via protectedplanet. Not all protected areas receive the same degree of protection. While some have strict guidelines designed to preserve intact ecosystems, others allow for sustainable land use, often including limited resource extraction.

In addition, not all countries use the same terminology when designating a protected area. Accordingly, the International Union for Conservation of Nature defined universal management categories that stipulate the level of protection for most protected areas.

Learn more or download data at www. First defined in by scientist Norman Myers, biodiversity hotspots are areas characterized by high levels of endemic plants coupled with significant habitat loss. When Myers first defined the term, he identified 10 tropical forest hotspots. The need to pinpoint priority conservation regions led Conservation International CI to adopt the term and reassess the hotspot concept. In this process, CI introduced quantitative thresholds see above and added additional regions.

At that time, there were 25 hotspots. Because of the constant change in environmental threats and the improved understanding of biodiversity, CI has since revisited the hotspots to refine boundaries, update information, and add new regions. This process produced an additional 10 hotspots, bringing the total to Learn more or download data at Conservation International.

No single biogeographic framework is optimal for all taxa. Ecoregions reflect the best compromise for as many taxa as possible. Most ecoregions contain habitats that differ from their assigned biome e. Ecoregions are defined as relatively large units of land or water containing a distinct assemblage of natural communities sharing a large majority of species, environmental conditions, and processes, such as migrations or fire disturbance regimes.

The terrestrial ecoregions are classified into 14 different biomes, such as forests, grasslands, or deserts. Ecoregions represent the original distribution of distinct assemblages of species and communities. The TEOW data set was developed by WWF through primary analysis, secondary research, and consultation of existing biogeographic maps and regional experts.

Terrestrial ecoregions of the world: While ODC takes every effort to ensure that the details in this map are accurate and up to date, some of the protected areas marked on the map may have since been downsized or degazetted since the map was published.

Moreover, additional protected areas may have been approved that are not yet included here. A protected area is a defined space given extra protection to support long-term conservation of wildlife, nature, ecosystems and cultures.

The royal decree establishes four categories: In , the Royal Government of Cambodia adopted the Law on Protected Areas introducing and defining a new zoning system to manage the protected areas in Cambodia.

The law, under the jurisdiction of the Ministry of Environment, underlines the expansion and modification of protected areas categories which additionally include the Ramsar sites, biosphere reserves, natural heritage sites and marine parks. Since the Protected Areas Law was passed, numerous sub-decrees have been passed classifying areas as Sustainable Use Zones degazettement. According to the law, after consulting with relevant ministries and institutions, local authorities, and local communities, the Government may permit development and investment activities in these zones.

These activities can include infrastructure development, including irrigation and hydroelectricity projects, mining and resin exploitation. This dataset contains data for five types of protected areas in Cambodia national park, wildlife sanctuary, protected landscape, multiple use, Ramsar site with issuing dates starting from to Data for biosphere reserves, national heritage sites, and marine parks is currently not available on ODC. Due to the lack of publicly available spatial information on zoning and degazettement of protected areas, this dataset does not include information on adjustments.

Some of the TPAs are gazetted, while others remain ungazetted and are classified as 'proposed'. Three principal map sources were used: TPAs which are entirely over water are not included. The status of each protected area given in this data set is based on the list of gazetted TPAs as of 31st December given on the website of the Sarawak Forestry Corporation accessed November , and the Sarawak Forestry Department Annual Report of This data set displays the boundaries of six Brazilian continental biomes: The names used were the most common and popular in general associated with the predominant type of vegetation or relief, as in the case of Pantanal biome, which is the highest provincial flooded surface of the world.

The Amazon Biome is defined by the climatic region, forest physiognomy and geographic location. The Atlantic Forest biome, which occupies the entire Brazilian continental east Atlantic coast and stretches inland in the Southeast and South, is defined by the predominant forest vegetation and diverse relief. The Pampa, restricted to Rio Grande do Sul, is defined by a set of field vegetation in plain relief.

To read more about the data set, please visit: While many bird species are widespread, over 2, are endemic and restricted to an area smaller than 5 million hectares restricted-range species.

BirdLife International has mapped every restricted-range species using geo-referenced locality records. Half of all restricted-range species are globally threatened or near-threatened, and the other half remain vulnerable to loss or degradation of habitat. The majority of EBAs are also important for the conservation of restricted-range species from other animal and plant groups.

The unique landscapes where these bird species occur, amounting to just 4. Geographically, EBAs are often islands or mountain ranges, and vary considerably in size, from a few hundred hectares to more than 10,, hectares. EBAs also vary in the number of restricted-range species that they support from two to Priorities for biodiversity conservation.

BirdLife Conservation Series 7. Learn more or request data at BirdLife International. Created by the Alliance for Zero Extinction AZE , this data set shows sites for species of mammals, birds, amphibians, reptiles, conifers, and reef-building corals.

The species found within these sites have extremely small global ranges and populations; any change to habitat within a site may lead to the extinction of a species in the wild. The AZE identifies and safeguards places where species evaluated to be Endangered or Critically Endangered by the International Union for Conservation of Nature are restricted to single remaining sites. Alliance for Zero Extinction Learn more or request data at Alliance for Zero Extinction.

Tiger Conservation Landscapes were created under the assumption that suitable habitat depends on quality and size of land cover and prey base. Land cover data was problematic in certain geographies due to the presence of tree plantations. In some cases, forest cover was overestimated or underestimated. The tiger location database, on which this data set was built, is incomplete for some regions, and the data comes from a variety of sources and research methods.

Tiger Conservation Landscapes TCLs are large blocks of contiguous or connected area of suitable tiger habitat that that can support at least five adult tigers and where tiger presence has been confirmed in the past 10 years.

The data set was created by mapping tiger distribution, determined by land cover type, forest extent, and prey base, against a human influence index.

Areas of high human influence that overlapped with suitable habitat were not considered tiger habitat. Tigers require a large area to survive. Before this data set, many countries containing tigers did not have spatially explicit tiger habitat maps necessary to develop habitat conservation and management plans. Among others, this information gap was an impetus to developing the TCL data set. This data set displays 29 Tx2 Tiger Conservation Landscapes Tx2 TCLs , defined areas that could double the wild tiger population through proper conservation and management by The number of wild tigers has declined from an estimated , in the early s to a current estimate of around 3, adult animals.

In response to this rapid decline, government officials convened in November to endorse the St. Petersburg Declaration, pledging to double the wild tiger population by To aid in this effort, Wikramanayake and his team conducted a landscape analysis of tiger habitat to determine if a recovery of such magnitude is possible. They identified 29 Tiger Conservation Landscapes with potential for doubling wild tiger population with proper conservation and management.

A landscape-based conservation strategy to double the wild tiger population. Conservation Letters, 4 3: Corridors are defined as existing forests connecting current Royal Bengal tiger meta-populations in Nepal and India. The TAL is spread over 4. This landscape has the second largest population of rhinos, one of the highest densities of tiger populations, and is home to the Asiatic elephant.

In Nepal, TAL encompasses 2. These projects reduce emissions from forest-related activities around the world and apply robust GHG accounting methodologies to quantify such emission reductions, which are independently verified and transparently registered. This information will be added in the future as these programs register under the VCS.

There is no census for publicly-held easements so the total number of publicly-held easements is based on the data collection efforts of NCED. Voluntary and secure, the NCED respects landowner privacy and will not collect landowner names or sensitive information.

This public-private partnership brings together national conservation groups, local and regional land trusts, and state and federal agencies around a common objective. Before the NCED was created no single, nationwide system existed for sharing and managing information about conservation easements.

By building the first national database and web site to access this information, the NCED helps agencies, land trusts, and other organizations plan more strategically, identify opportunities for collaboration, advance public accountability, and raise the profile of what's happening on-the-ground in the name of conservation.

With the initial support of the U. Endowment for Forestry and Communities , NCED is the result of a collaboration between five environmental non-profits: Learn more or request data. Displays official forest zoning in Peru. Permanent production forests are areas of natural primary forest that, under a ministerial resolution of the Ministry of Agriculture, are available to private interests for the preferential use of wood and other forest resources as well as wildlife as proposed by the forest and wildlife authority.

Shows the distribution of buffer zones in Peru. Muestra la distribución de las zonas de amortiguamiento. Updated when a new buffer zone is established Actualizado cuando una nueva zona de amortiguamiento es establecida.

Buffer zones are areas adjacent to natural protected areas PAs that, because of their nature and location, require special treatment to guarantee the conservation of the PA. The activities in the buffer zone should not put the objectives of the PA at risk. Accedido a través de Global Forest Watch en [fecha].

Shows the distribution of national protected areas in Peru. Updated when a national protected area is modified or established. These areas are divided in three categories of use: In indirect areas, the extraction of natural resources or other types of environmental modification are not allowed.

These areas only permit non-manipulative scientific investigation and tourist, recreational, educational, and cultural activities under regulated conditions.

The following are indirect use areas:. In direct use areas, the use of natural resources is allowed, primarily by local people, under the guidelines of a Management Plan approved and supervised by the relevant national authority. The following are direct use areas:. In addition to the above categories, Reserved Zones are established as a transitory category in areas that have the conditions necessary to be considered as a natural protected area, but that require additional study to determine their extension and category, among other things.

Son aquellas que permiten el aprovechamiento de recursos naturales, prioritariamente por las poblaciones locales, bajo los lineamientos de un Plan de Manejo aprobado y supervisado por la autoridad nacional competente.

Shows the distribution of privately managed protected areas. This layer shows conservation areas that are created partially or totally on private property. The environmental, biological, or scenic properties of this land are complementary to the coverage of national PAs, supporting biodiversity conservation and increasing the opportunities for scientific investigation, education, and tourism.

Lands located inside of buffer zones are prioritized for private PAs. A breach of the obligations of the agreement on the part of the land owner results in the loss of recognition as a private PA. El reconocimiento de las ACP se basa en un acuerdo entre el Estado y el titular del predio a fin de conservar la diversidad biológica en dicho predio por un período no menor a 10 años renovables.

El incumplimiento de las obligaciones de este acuerdo por parte del titular del predio determina la pérdida de su reconocimiento como ACP.

Shows the distribution of regional protected areas. This layer shows protected areas that are managed by regional governments. The laws established for national protected areas also apply, where relevant, to regional protected areas. Regional protected areas are not divided into categories, but this does not mean that their conservation objectives are all the same. Regional protected areas are managed in coordination with municipalities, native or rural communities, other people that live in the area, and public and private institutions.

Administration of regional protected areas can be delegated, with prior permission of the regional government, to individuals with interest and the ability to manage the area. Regional protected areas respect pre-existing rights within their interior, but these activities should be compatible with the goal of national heritage. The laws of many countries separate land rights from resource rights.

Legally recognized land rights extend to the land and certain resources associated with the land, depending on the nature of the right. The right to the land and certain resources include some combination of rights of access, use, management, exclusion, and alienation. Similarly, legally recognized resource rights can cover some combination of the right to access, use, manage, exclude, or alienate forests, wildlife, or other resources.

Whether rights to the land or resources, the law may recognize their rights in perpetuity or for a limited period of time. Some data sets displayed on Global Forest Watch include land and resource rights governed by customary tenure systems but that are not recognized by national laws.

The exact nature of these land rights varies among tenure type and country. The land rights data on GFW, while displayed as a single layer, is assembled on a country-by-country basis from multiple sources. Land rights data displayed on the GFW website vary from country to country by date and data sources. Data may come from government agencies, NGOs, or other organizations.

See the Open Data Portal for details on specific data sets. If you are aware of land rights data for additional countries, please email us here. This data set displays the boundaries of areas designated as Indigenous Lands in Brazil. Alienation of the land is prohibited. However, commercial use of forest resources is permitted, but cutting trees for sale requires approval by the National Legislature.

Rights to subsoil resources may be obtained only with the approval of the National Legislature and after consultation with the affected indigenous peoples. This data set includes Indigenous Lands that are officially registered and those at various stages of the registration process. The Aboriginal Lands data set depicts the administrative boundaries exterior limits of lands where the title has been vested in specific Aboriginal Groups of Canada or lands which were set aside for their exclusive benefit.

Available through the Open Government License - Canada. This data set displays the boundaries of areas designated as comarcas in Panama. Comarcas are legally recognized semi-autonomous areas where indigenous peoples own the land and resources with rights of access, use, withdrawal, management, and exclusion. Although the Government retains ownership of subsoil resources, the indigenous community must be consulted by government and private organizations for proposed developments on their lands.

The government and mining concessionaire are required to guarantee benefits to the community and compliance with sustainable development practices. Instituto Socioambiental ISA , Some countries provide data for the entire country Bolivia, Ecuador, French Guiana, Guyana, and Suriname , while others only provide land rights datafor the Amazon portion of their country Brazil, Colombia, Peru, and Venezuela.

The territories are devided into four categories of legal recognition: To see the data in the original web map, click. This data set displays the boundaries of areas designated as indigenous lands in Brazil.

This data set includes indigenous lands that are officially registered and those at various stages of the registration process. The aboriginal lands data set depicts the administrative boundaries exterior limits of lands where the title has been vested in specific aboriginal groups of Canada or lands which were set aside for their exclusive benefit.

This data set displays the boundaries of the 24 legally-recognized and titled indigenous territories in Costa Rica as of To view the interactive Atlas, please visit pueblosindigenas. The exact nature of these resource rights varies among tenure type and country.

The resource rights data on GFW, while displayed as a single layer, is assembled on a country-by-country basis from multiple sources. Resource rights data displayed on the GFW website vary from country to country by date and data sources. If you are aware of resource rights data for additional countries, please email us here. This data set displays the boundaries of areas designated as Community forests in Cameroon. It includes the right to access, use, withdraw for commercial purposes or subsistence, and exclude others from the forest.

The land remains owned by the Cameroonian Government. A community may also contract with a third party to commercially harvest timber. This data set displays the boundaries of areas designated as Community forests in Equatorial Guinea. The forest remains owned by the government, and must be adjacent to the community. Community forests are of perpetual duration. Communal Forests are areas set aside by statute or regulation for the sustainable use of forest products by local communities or tribes on a non-commercial basis.

According to the National Forestry Reform Law of , no prospecting, mining, settlement, farming or commercial timber extraction is permitted on community forests.

This data set displays the boundaries of areas registered as Community forests in Namibia. Community forests are recognized by the Minister of Environment and Tourism as communal lands subject to a management plan agreed upon by the Minister and a representative body of communal land members.

Communal forests are areas set aside by statute or regulation for the sustainable use of forest products by local communities or tribes on a non-commercial basis. This data set displays the boundaries of areas designated as community forests in Equatorial Guinea. This data set displays the boundaries of areas registered as community forests in Namibia. The population density grids measure population per square km.

A proportional allocation gridding algorithm, utilizing more than 1,, national and sub-national geographic units, is used to assign population values to grid cells. The population count grids are divided by the land area grid to produce population densities. Determining Global Population Distribution: Methods, Applications and Data.

Stories represent qualitative or anecdotal data on forests, submitted by users or written and compiled from other sources. This layer displays forest-related stories reported by GFW users.

Stories are tagged to a specific location and can include photos, video, or explanatory text. See all GFW stories or report your own here. This layer displays stories from Mongabay. Stories published within one year of the current date are tagged to a specific location and provide in-depth research or commentary on local forest issues.

More information can be found at Mongabay. This layer displays stories sourced from the Earth Journalism Network , a project of Internews that empowers and enables journalists from developing countries to cover the environment more effectively. Stories are tagged to a specific location and provide in-depth research or commentary on local forest issues. More information can be found at Earth Journalism Network. Base maps provide a variety of map backgrounds for visual comparison with other data.

The default base map is derived from Google Maps and shows political boundaries, major geological features, and other key areas of interest. Read the terms of service here. Scale varies by location. TerraMetrics TruEarth meter imagery is the baselayer imagery that covers the entire globe, and Google adds high-resolution imagery, where available, over TruEarth meter imagery to provide additional visual details.

Google Maps Road Network base map shows the extent of collected and generated road features. The map is proprietary to Google and cannot be downloaded. This base map depicts the highest points in the forest canopy. Its spatial resolution is 0.

The map was created using 2. Open Street Map is a free, editable map of the whole world that is crowd-sourced and released with an open-content license. Data can be edited or downloaded at http: The annual composites were generated by Google in the Google Earth Engine. More information on Landsat imagery is available from the Landsat website.

Because of the very large file size of the annual Landsat composite layers, images will take some time to reload on the website and as you zoom in and out. Data provided on the country pages come from a range of sources. Read below to learn more about each. As stated on the FAO website , the FRA is a comprehensive assessment of forests and forestry that examines the current status and recent trends for different variables covering the extent, condition, uses and values of forests.

To create the report, information was collated from countries and territories for four points in time: FAO worked closely with countries and specialists in the design and implementation of FRA - through regular contact, expert consultations, training for national correspondents and ten regional and subregional workshops. More than contributors were involved, including officially nominated national correspondents and their teams. To learn more, visit the FAO website or download the full report.

To learn more, download the full report. To learn more, visit the Forest Change tab on the Data page. As stated on the ESA website , GlobCover is an initiative which began in in partnership with a number of organizations. ESA makes available the land cover maps, which cover 2 periods: To learn more, visit the GlobCover website or download the GlobCover map.

Figures on forest tenure come from the Rights and Resource Initiative and are based on data adapted from the Tropical Forest Tenure Assessment. As stated on RRI's website , the tenure systems represented by this data is sourced from governments, and therefore only reflects those systems of natural resource management that are legally recognized by those governments. Such officially outlined tenure systems fall under the category of statutory tenure regimes within these studies.

The official data often presents an incomplete picture of the institutions that actually manage natural resources, particularly at a local level. To learn more, visit the RRI forest tenure page. If you would like to contribute source code, please send pull requests to our website repository or API repository.

For information about how to analyze Global Forest Watch data, please visit our tutorial. View our data, overlay our data sets with your own, or browse any of the available data layers available through ArcGIS Online.

With a free ArcGIS Online public account you can create, store, and manage maps, apps, and data, and share them with others. All of the data provided on GFW have been assessed with respect to several indicators of quality, including timeliness, accuracy, completeness, geographic coverage, innovation, and objectivity. In some cases, the best available data still have known shortcomings with respect to one or more of these indicators. Global Forest Watch has an open data policy and commits to make our data, and that of our partners, open, discoverable, downloadable, and usable.

Global Forest Watch has an open data policy, intended to provide information free of constraints and restrictions on use. This means you are able to download, share, and adapt the data for any use, including commercial and noncommercial uses. You must attribute the data appropriately, using the information provided in the data set description. Some data displayed on the Global Forest Watch platform was developed by other organizations and may carry other licensing or permissions.

For data sets not produced by GFW, we provide links to download data from the original source when they are available.

Please refer to the original licensing for these data sets. Most of the photographs featured on this site have either been licensed under non-transferable terms, or have been acquired from photo sharing sites that have their own policies for public use.

Unless indicated otherwise, the Creative Commons license described above does not apply to photographs and images used on this site. Use the colored tabs above the map to view different categories of data. Select a data layer to activate it in the map, or click the information icon located next to each data layer to learn more. As you turn on data layers, they will appear in the legend on the left-hand side of the map. Multiple data layers can be turned on at once.

Most data layers under the Forest Change tab have a timeline located at the bottom of the map. Press the play button to view an animation of the entire time series of data or drag the ends of the timeline to select a specific period of time.

Some data layers allow you to click on individual data points and polygons i. Click the subscribe icon located at the bottom of the window with analysis results and enter your email address. Using the tabs above the map, turn on the Forest Change data layer you wish to analyze e. Define the time period of your analysis by dragging the handles of the timeline or by selecting a time interval.

Learn more about analyzing forest change data within a country or subnational jurisdiction on the How To page. If available, country data layers will then appear. Click on the available layers within the window or within the country tab above the map to turn them on. Interested in forest change statistics for a different time period? Define the time period you wish to analyze by dragging the handles of the timeline on the map or where applicable by selecting a time interval.

Define the time period you wish to analyze by selecting a time interval or date using the bar located on the bottom of the map. Use the tabs above the map to turn on GFW's global data layers. Click the information icons in the drop down menus to learn more about each data set.

Please note that some global layers, such as those under the "Forest Use" and "People" tabs, contain data for a select number of countries and are not truly "global" in nature. Rather, these data sets are a compilation of individual country data aggregated into joint layers e.

Return to the data layers menu and select "Global data" to turn on one of GFW's global data layers on the map.

This feature allows you to analyze forest change statistics for individual data shapes i. Analysis is currently available for most data layers under the Land Use, Conservation, and People tabs, in addition to all country data layers. Turn on the layer you wish to analyze and follow the instructions. For more help analyzing a data shape on the map, visit the How To page. This feature allows you to subscribe to forest change alerts and user stories for individual data shapes i.

Subscription is currently available for most data layers under the Land Use, Conservation, and People tabs, in addition to all country data layers. Turn on the layer you wish to subscribe to and follow the instructions. For more help subscribing a data shape on the map, visit the How To page. Drop a file in the designated area to analyze or subscribe to it. The recommended maximum file size is 1MB.

Anything larger than that may not work properly. This feature counts alerts or hectares inside of polygons; therefore, only polygon data is supported, not point and line data.

Please ensure that your file only contains polygon data. A maximum of 1, feautures can be analysed in a single upload, contained within a single layer. Multiple layers are not supported. To learn more about each data set click the information icons in the dropdown menu under the Forest Change tab located above the map. This layer shows recent satellite imagery, as provided by Google Earth Engine, from the following sensors:. Hover on an image to see the capture date and sensor name. The most recent image for an area is shown, click to view other images or change the time period.

Users can also change the maximum cloud cover percentage in the menu, which sets the threshold for excluding cloudy images. Sentinel hub provides the following renderings of the images: This index is mapped from a white to green hue, where green pixels indicate good crop health and white pixels indicate poor crop health or an absence of vegetation.

It is more sensitive to variations in canopy structure than NDVI, and is better at controlling background noise. EVI is not available for Deimos-1 imagery.

The calculated pixel values range from blue to brown - where blue indicates the presence of water, and brown indicates dryer land. It is another tool to determine crop health and condition. False color NIR Near infrared: Vegetation reflects infrared light, so it generally shows up as bright red. Select which sensor you would like to view imagery from.

Each sensor has a different resolution, revisit time, minimum date, and geographic coverage. See the table below for details. The default selection, "all sensors," will show the most recent image that meets other specified criteria, such as maximum cloud coverage percentage, for any given area. Move the slider to adjust the maximum percentage of cloud cover for available imagery. Thus, loss of tree cover may occur for many reasons, including deforestation, fire, and logging within the course of sustainable forestry operations.

Similarly, tree cover gain may indicate the growth of tree canopy within natural or managed forests. The payload of the POST request contains all of your subscription's information in a machine readable format. You can implement your own logic on your webserver to process the incoming alerts and include them directly in your application. The blob includes general metadata for your subscription, the time period covered, the number of alerts, as well as a link to the GFW map.

Depending on the type of subscription, you may receive additional information. We currently only send you the 10 most recent alerts.

Please turn on a Forest Change layer to analyze before using the analysis tool. Download is not currently available for this layer. No data available for this analysis. File size exceeds the allowable limit that is fixed in 4 MB. Your file has been uploaded correctly. Sorry, there was an error uploading the file, please retry. The YouTube link you have entered is incorrect. Sorry, there was an error submitting your story.

A confirmation email has been sent to the email address you provided. Sorry, there was an error submitting your contribution. File size exceeds the allowable limit that is fixed in 2 GB. A link has been sent to your inbox. Please enter a valid email address. This browser does not support clipboard access, please update.

No imagery is available in this area for the selected time period and settings. Sorry, there was an error getting the info, please retry. Your profile has been saved. Please check the information you've entered.

Please fill in the missing information in your profile. Your subscription has been saved correctly. Sorry, there was an error submitting your subscription.

Your subscription has been confirmed. You must select at least one data set. A subscription confirmation email has been sent to you. Your subscription has been removed and you will no longer receive emails for it. You are logged out of GFW. Please log in to continue. Forest change Forest change data measure tree cover loss, tree cover gain, or forest disturbance.

Tree Cover Canopy Density Settings. Tree cover loss is not always deforestation. The use of Landsat 8 data for and Landsat 5 data for The reprocessing of data from the previous two years in measuring loss and for the update, and for the update Improved training data for calibrating the loss model Improved per sensor quality assessment models to filter input data Improved input spectral features for building and applying the loss model These changes lead to a different and improved detection of global tree cover loss.

Some examples of improved change detection in the — update include the following: Improved detection of boreal forest loss due to fire Improved detection of smallholder rotation agricultural clearing in dry and humid tropical forests Improved detection of selective logging These are examples of dynamics that may be differentially mapped over the period in Version 1.

This data set shows annual deforestation between and Download at project website. In the future will expand to cover the humid tropics Source Hansen, M. Near-real time forest disturbance alerts using Landsat data. Environmental Research Letters , in review. Frequency of updates Updated weekly Date of content January - present Cautions While Landsat 7 and 8 satellites together have a revisit period of 8 days, cloud cover can majorly limit the availability of imagery, particularly in the wet season.

This layer displays the geographic coverage of GLAD alerts. Gran Chaco deforestation monthly, 30m, Gran Chaco, Guyra. License CC BY 4. Overview The tropical dry forests of the Gran Chaco region in Paraguay, Argentina, and Bolivia have become a hotspot of deforestation as cattle ranching and soy expand into the area. This layer displays the geographic coverage of the Gran Chaco deforestation data.

Explanation Tree cover loss alerts appear when and where new, large-scale loss is likely to have occurred after Data applications The alerts have been designed for quick identification of tree cover loss as it happens.

Accuracy and validation Inaccuracies are an inherent part of remote sensing analysis. The major instances of false positives may occur as the following: A random, "speckled" distribution of alerts across an ecoregion, or complete filling of a small ecoregion. Caused by limited or sparse training data, particularly in small ecoregions, which makes it difficult to tune the model there.

As a result, alerts cannot be reliably detected. In a normal ecoregion, alerts are usually clustered. A rapid explosion of alerts over months covering a relatively large area. Caused by a significant, persistent drop in detected vegetation levels due to persistent cloud cover along coastlines, in mountains, or elsewhere.

Caused by shifting water bodies. These alerts should be considered not necessarily as false positives but rather as ambiguous alerts requiring additional data for corroboration. The biome illustrated by this layer includes a number of smaller forest ecoregions, which span portions of 89 countries. Overview Terra-i is a near real-time monitoring system that detects land cover changes in Latin America.

This layer displays the geographic coverage of Terra-i alerts. Aboveground live woody biomass density. Function Shows carbon density values of aboveground live woody biomass across the tropics. Date of content Tree cover canopy density Varies according to selection use the legend on the map to change the minimum tree cover canopy density threshold Cautions It is recommended that both aboveground carbon density and uncertainty values be used together for carbon assessments and verification.

The map will provide accurate estimates of aboveground carbon stock and aboveground carbon density when aggregated to large areas 5, to 10, ha for project and regional level assessments. The biomass density value of a single pixel may have large uncertainty when compared with small plots for verification. Overview This is a higher resolution data product that expands upon the methodology presented in Baccini et al. Peat lands Indonesia, Overview This layer shows the location of peat lands in Indonesia, classified by depth.

This layer also shows the reduction in the extent of Intact Forest Lanscapes from to The map may contain inaccuracies due to limitations in the spatial resolution of the imagery and lack of ancillary information about local land-use practices in some regions.

In addition, the methodology assumes that fires in proximity to roads or other infrastructure may have been caused by humans, and therefore constitute a form of anthropogenic disturbance. This assumption could result in an underestimation of IFL extent in the boreal biome.

Forest change