Documentation for GFW Layers & Datasets in API

Generic documentation about how to make get, post, patch and del requests to the api can be found in the RW-API DOCs. This includes basic information about Datasets, Layers, Vocabularies and Metadata.

Dataset Syntax

Syntax utilised by the front-end which dictate the appearance and behaviour of child layers in the application.

Vocabulary Tags

Datasets with application containing gfw may have the vocabulary: categoryTab. This vocabulary contaings the field tags which is an array of values used to categorise the dataset (and hence, it's attributed layers). The definition used here is that the first element of the tags array is the category tab it belongs to, and the second element is the subcategory. E.g. the VIIRS Alerts dataset has a vocabulary categoryTab with tag: ['forestChange', 'fireAlerts'] and hence will be found in the Forest Chanege tab under the Fire Alerts subcategory.

Note, the subcategories are defined in the GFW codebase - adding a new tag (e.g. [forestChange, myNewTag]) to a layer will not add a new item to the menu without an update to the corresponding GFW code also.

Metadata

Each dataset may contain a metadata key, which is an array of application specific metadata elements. To find metadata specific to the GFW platform filter metadata where metadata.application == 'gfw'.

Each metadata element must, by default, contain the keys: language, application, and info.

The info value is an object with an open schema, and is used to hold information about how the appearance in the slide out tabs and legend should behave, as well as the hold the dataset's metadata key.

• info.name human readable name to be displayed in the slide out tab (string)
• info.description subtitle for the layer name, usually containing technical details about the data (string)
• info.colour the colour of the toggle (HEX format)
• info.metadata the metadata key for the dataset (populates metadata modal)
• info.isSelectorLayer indicates that layers should populate a selector drop-down in the legend (bool)
• info.isMultiLayer indicates that layers should populate separate toggles in the legend (bool)
• info.isMultiSelectorLayer indicates that layers should populate multiple selector drop-down in the legend (bool)
• info.isLossLayer indicates that layer is tree cover loss (bool)

NOTE: only include a key if it is to be used and/or true i.e. a layer is a multiLayer there is no need to include all of the others as false.

Layer Syntax

Syntax that defines how the layer should behave. Specifically: the legend, layer palette, interactions, and searchability.

iso

At the top layer, the iso key conatins an array of iso3 codes of countries that relate to this layer. If empty (or contains a single element: 'global') then the layer is a global layer. This can be used to search and filter layers by location

applicationConfig

This is an object with open schema and is thus used to define how the layer should behave within the GFW application. It contains:

• default - (bool)
• global - is the layer a global layer? (bool)
• active - should the layer be displayed? (bool)
• moreInfo - an object which definds external links in the legend:
  • moreInfo.linkUrl - external URL
  • moreInfo.linkText - the text for that URL
  • moreInfo.text - any additional text or description

NOTE: the default and global keys are used with the iso key to define when to surface datasets/layers when country filters are selected.

Then there are a set of configs for each of the possible legend types:

• selectorConfig
  • selectorConfig.value - an arbitrary slug matching the layer and the drop-down option (string) [optional]
  • selectorConfig.label - label shown on selector
  • selectorConfig.position - determines order of layers in the selector
  • selectorConfig.group - if multiple selectors, defines how to group them
  • selectorConfig.groupPosition - determines the order of the grouped drop-downs
  • selectorConfig.groupLabel - an arbitrary slug matching the group and the drop-down option (string)
• multiConfig
  • multiConfig.color - colour of the toggle (HEX)
  • multiConfig.position - determines the order of the layers in the legend (int)

legendConfig

Determines how the legend should appear.

• legendConfig.type - determines the type of legend. There are 3 types: basic, chloropleth, and gradient.

  For basic & chloropleth define an array of objects with a name and color field. The basic legend just gives coloured bullets, whereas chloropleth gives a flat segmented line with names beneath.

  For gradient, use value (can be strings) in place of name. These mark regular intervals along the flat bar corresponding to the colour at that point. If you only wish to have 'Low' and 'High' you can leave the value field as empty strings ('') far the intermediate items in the array.

• legendConfig.items - an array of objects which define the items in the legend:

  • legendConfig.items[i].name - label/title of the layer
  • legendConfig.items[i].color - colour of the layer if basic or chloropleth type.

interactionConfig

Defines how tooltips behave on click (currently only available for CARTO layers). Takes the following format:

    "interactionConfig": {
    "output": [
        {
            "column": "name",
            "format": null,
            "prefix": "",
            "property": "Name",
            "suffix": "",
            "type": "string",
            "renderKey": "title"
        },
        ...
    ],
    "type": "intersection",
    "article": true
    }

Here output is a list of all data surfaced on click. The column value must correspond to a CARTO table column. There may also be a key article (bool), which is used for tool tips with images and urls (like Places to Watch). If Article: True then the output elements should contain a renderKey definition so that each output can be rendered correctly. Possible rendeKey values are:

• image
• imageCredit
• title
• summary
• meta (link source or country etc) [optional]
• readMoreLink

layerConfig

The most complicated object within the layer definition - and varies a lot depending on the type of layer/dataset.

In general the layerConfig defines:

• where the source data comes from
• how to style that data
• how to animate the data (optional, vectors only)

To do this, the application employs the Layer Manager ver. 3.0 specification.

Though the layerConfig object varies from layer to layer they can be grouped into several broad categories depending on their data source and type:

type	provider	notes
Vector	tile layer	Vector tiles from some tile-cache endpoint. Dynamically styled.
Vector	carto	Vector tiles from Cartodb. Dynamically styled.
Vector	mapbox	Vector tiles served from Mapbox. Dynamically styled.
Raster	tile layer	Raster tiles served from some tile-cache endpoint. Pre-styled.
Raster	decode	RGB-encoded raster tiles served from some tile-cache. Required decoding before styling.
Raster	gee	Served from Google Earth Engine and cached in the wri api. Styled using SLD spec.

All layers of type Vector are styled (and in some cases animated) using the Mapbox Specification.

Common layerConfig Keys

Regardless of the type and source of the layer's data, there are some common key definitions:

key	function
render	Define how to style the layer
source	Defines the layer's data source(s) and how to fetch it
params_config	Defines variable that can be used or inserted into the source url
timeline_config	Defines animation params e.g. step interval, speed etc
decode_config	Defines params to be used in the decode of RGB values
decode_function	Defines the function to be used to decode RGB values

Example Layers (c. May 2020)

The following is a list of currently in-use production layers.

name	provider	type	layer_id
Alliance for Zero Extinction sites - 2019	carto	vector	https://api.resourcewatch.org/v1/layer/04118785-27f4-4fb0-8980-a786a44f5c6d
Biodiversity hot spots - 2016	carto	vector	https://api.resourcewatch.org/v1/layer/8e9a86e2-5e34-452e-bf55-d7c6648ea42e
BirdLife Endemic Bird Areas - 2014	carto	vector	https://api.resourcewatch.org/v1/layer/5dd45d79-7d09-421d-b7b9-baca3db3820d
Brazil biomes - 2004	carto	vector	https://api.resourcewatch.org/v1/layer/2f754096-a23c-4c7b-bee5-d5c414b4026b
Cambodia economic land concessions - 1995-2015	carto	vector	https://api.resourcewatch.org/v1/layer/cf355c2a-04d5-4410-a54e-cae296196a80
Cambodia protected areas - 1993-2014	carto	vector	https://api.resourcewatch.org/v1/layer/f72e7a11-e0e2-4cbc-a645-5593d3f050fa
Canada petroleum and natural gas - 2016	carto	vector	https://api.resourcewatch.org/v1/layer/caa4f921-dcb2-4a53-80b9-c85fda5e6dbf
Canada protected areas - 2015	carto	vector	https://api.resourcewatch.org/v1/layer/f611a6b9-cc1b-4111-8650-8ef9c395be00
Carbon dioxide emissions from tree cover loss in drained peat	carto	vector	https://api.resourcewatch.org/v1/layer/62139f59-e2c1-4ce0-82d4-626ed68d3ecf
Congo Basin logging roads - 2014	carto	vector	https://api.resourcewatch.org/v1/layer/35b17f0d-3537-41dc-9bf3-27174fddf9e2
Disputed Political Boundaries	carto	vector	https://api.resourcewatch.org/v1/layer/cc35432d-38d7-4a03-872e-3a71a2f555fc
Emerging hot spots	carto	vector	https://api.resourcewatch.org/v1/layer/4a8b3393-1785-4f73-b949-9917e2e2b416
Fire Alerts (VIIRS)	carto	vector	https://api.resourcewatch.org/v1/layer/93e33932-3959-4201-b8c8-6ec0b32596e0
Geographic coverage	carto	vector	https://api.resourcewatch.org/v1/layer/2284c6fc-403f-42c1-9b45-cf9aa3f73ff2
Geographic coverage	carto	vector	https://api.resourcewatch.org/v1/layer/a24953f8-7d4d-4f44-80cb-0ad16b759fdc
Geographic coverage	carto	vector	https://api.resourcewatch.org/v1/layer/d415c475-2927-42ab-8cff-2049f0072403
Honduras forest type - 2013	carto	vector	https://api.resourcewatch.org/v1/layer/bfa9d4ba-2dd6-4899-9027-d8eac9a66846
Indonesia forest area	carto	vector	https://api.resourcewatch.org/v1/layer/f84af037-4e4f-41cf-a053-94a606071232
Indonesia forest moratorium - 2018	carto	vector	https://api.resourcewatch.org/v1/layer/4b269f12-2f1a-4d38-b3a1-01cc1a0453ac
Indonesia land cover - 2017	carto	vector	https://api.resourcewatch.org/v1/layer/e07efebb-e1b7-4c0c-abb7-b8e1c514319b
Indonesia Leuser ecosystem - 2013	carto	vector	https://api.resourcewatch.org/v1/layer/2af0ff6c-26cc-4620-9889-27787a2671d0
Indonesia peat lands - 2012	carto	vector	https://api.resourcewatch.org/v1/layer/96d529a1-ade4-4cd1-bfe8-f94e6e3cdcae
Intact Forest Landscapes - 2000-2016	carto	vector	https://api.resourcewatch.org/v1/layer/af4e9e0b-cbf9-437b-80cb-9b0f795161ca
Land rights	carto	vector	https://api.resourcewatch.org/v1/layer/a0c1b479-10ed-4538-9c8d-cdc9815b7054
Liberia mineral development agreements	carto	vector	https://api.resourcewatch.org/v1/layer/329a5130-9e9b-4635-b2df-f91ecfd52a99
Liberia mineral development exploration license	carto	vector	https://api.resourcewatch.org/v1/layer/5ef4fb04-de42-4bd4-a5f8-27c98ea9f11f
Liberia mineral exploration licenses	carto	vector	https://api.resourcewatch.org/v1/layer/c6df9658-2717-4288-b1a0-c670baa7f31a
Logging concessions - 2018	carto	vector	https://api.resourcewatch.org/v1/layer/08fd9f5d-51c4-4c01-8c37-d63e86a0de30
Major dams - 2014	carto	vector	https://api.resourcewatch.org/v1/layer/d5f69c5a-14c5-46ee-81c8-bad794e52471
Malaysia peat lands - 2004	carto	vector	https://api.resourcewatch.org/v1/layer/dc129899-7410-4351-b595-2a288d429934
Mangrove forests - (1996–2010)	carto	vector	https://api.resourcewatch.org/v1/layer/09fff1c0-c048-4e5d-ac14-909281d0c29b
Mangrove forests - (1996–2016)	carto	vector	https://api.resourcewatch.org/v1/layer/dfa48856-84c3-4205-bac7-d672169ee0dc
Mangrove forests - (2010-2016)	carto	vector	https://api.resourcewatch.org/v1/layer/30a73b6d-1cae-445f-83ea-70518d929200
Mangrove forests - 1996	carto	vector	https://api.resourcewatch.org/v1/layer/9b4ba439-d5c9-412f-9628-683152b03093
Mangrove forests - 2007	carto	vector	https://api.resourcewatch.org/v1/layer/dd904ffa-ff10-4af1-91d1-d3535093f326
Mangrove forests - 2008	carto	vector	https://api.resourcewatch.org/v1/layer/2789977c-cee8-49a9-b4e3-90846fab2390
Mangrove forests - 2009	carto	vector	https://api.resourcewatch.org/v1/layer/c8522570-f3bb-4a45-a65d-25f6817c8f2f
Mangrove forests - 2010	carto	vector	https://api.resourcewatch.org/v1/layer/bc734a74-9125-4baa-97b1-6be818592203
Mangrove forests - 2015	carto	vector	https://api.resourcewatch.org/v1/layer/bbe3c519-6ea2-4060-a120-a27b3ada1215
Mangrove forests - 2016	carto	vector	https://api.resourcewatch.org/v1/layer/26818337-d91d-4e80-9cd7-dc246c1461c7
Mexico forest zoning by category - 2011	carto	vector	https://api.resourcewatch.org/v1/layer/88bfc6b9-1962-4fea-b179-ecff5ac236f7
Mexico payments for ecosystem services - 2011-2015	carto	vector	https://api.resourcewatch.org/v1/layer/50f5209c-97a6-47f5-bb79-75dfc904eedf
Mexico protected areas - 2011-2016	carto	vector	https://api.resourcewatch.org/v1/layer/0d723e17-323f-45a0-bfd5-5dc211875874
Oil and gas concessions	carto	vector	https://api.resourcewatch.org/v1/layer/52faa38e-3fcd-4109-85a8-7da8b2b433cf
Oil palm concessions	carto	vector	https://api.resourcewatch.org/v1/layer/aef0a3e5-729e-4f1a-9b1c-25a73c7ea4c1
Palm oil mills - 2019	carto	vector	https://api.resourcewatch.org/v1/layer/4167a83a-d401-4c5f-bb27-55785ca51228
Peru forest concessions - 2015	carto	vector	https://api.resourcewatch.org/v1/layer/bcb74ae0-94d4-482c-8b34-c8dbe20d7cf2
Peru forest concessions by type - 2015	carto	vector	https://api.resourcewatch.org/v1/layer/04b547fc-1cd6-4690-9360-e403614b87d1
Peru permanent production forests - 2015	carto	vector	https://api.resourcewatch.org/v1/layer/2862a3c9-3809-401c-94fc-b2bd29f9255a
Peru protected areas - 2016	carto	vector	https://api.resourcewatch.org/v1/layer/9d0a910a-f119-411c-a5cc-3206657a2c92
Places to Watch	carto	vector	https://api.resourcewatch.org/v1/layer/40816dac-d957-47bd-82e4-22f8840601eb
Political boundaries	carto	vector	https://api.resourcewatch.org/v1/layer/b45350e3-5a76-44cd-b0a9-5038a0d8bfae
PRODES deforestation	carto	vector	https://api.resourcewatch.org/v1/layer/b3529b7f-8fdd-4d10-a6eb-71c6effcbcd5
Protected areas - 2019	carto	vector	https://api.resourcewatch.org/v1/layer/f135d3cf-44d0-454e-8e82-87ce43b46a68
Protected areas (dashboard)	carto	vector	https://api.resourcewatch.org/v1/layer/fc2d9dea-4238-4343-a2ed-2079c2c6a6c7
Resource rights	carto	vector	https://api.resourcewatch.org/v1/layer/5f357ec8-3541-4c35-b386-6230bd384147
River basin boundaries	carto	vector	https://api.resourcewatch.org/v1/layer/6a18fc40-18ff-4c4d-bad6-685a5e1ad0fa
RSPO oil palm concessions - 2017	carto	vector	https://api.resourcewatch.org/v1/layer/5ce140d9-260b-4e42-8b15-bd62193a5955
Sabah logging concessions - 2014	carto	vector	https://api.resourcewatch.org/v1/layer/a2cf4f96-c7a8-40d3-b26b-ec9fd8da3a51
Sabah timber plantations licenses - 2014	carto	vector	https://api.resourcewatch.org/v1/layer/4447562b-1a25-4e8e-b576-a6ab06ae6c92
Sarawak licenses for planted forests (LPFS) - 2011	carto	vector	https://api.resourcewatch.org/v1/layer/abcb728a-cee3-4f64-8533-2e0b1e4c3443
Sarawak logging concessions - 2010	carto	vector	https://api.resourcewatch.org/v1/layer/e39967ac-260c-49f0-a9c1-b9c4f90709fa
Sarawak oil palm concessions - 2010	carto	vector	https://api.resourcewatch.org/v1/layer/05b41fa1-6fe4-4a36-b661-a562000f9265
Sarawak protected areas - 2010-2014	carto	vector	https://api.resourcewatch.org/v1/layer/846c2b1b-da5a-4133-876e-004099672dd1
Terrestrial ecoregions	carto	vector	https://api.resourcewatch.org/v1/layer/dff7fb25-5db1-4afe-b66a-65ed14fa557d
Tiger Conservation Landscapes - 2007-2014	carto	vector	https://api.resourcewatch.org/v1/layer/9df142fb-d56d-4001-90fb-a0008117793e
USA conservation easements - 2014	carto	vector	https://api.resourcewatch.org/v1/layer/1389d434-400b-4de3-a831-c96dd7c0c741
Wood fiber concessions by type - 2019	carto	vector	https://api.resourcewatch.org/v1/layer/82229960-13c2-4810-84e7-bdd4812d4578
Biodiversity intactness - 2016	GEE	raster	https://api.resourcewatch.org/v1/layer/bd2798d1-c771-4bff-84d9-c4d69d3b3121
Biodiversity significance - 2016	GEE	raster	https://api.resourcewatch.org/v1/layer/c1c306a3-31b6-409a-acf0-2a8f09e28363
Brazil land cover 1985	GEE	raster	https://api.resourcewatch.org/v1/layer/e45988eb-91e1-4af3-b46f-d05852443a23
Brazil land cover 1986	GEE	raster	https://api.resourcewatch.org/v1/layer/b59ff861-086e-4089-a476-a0c115a1b668
Brazil land cover 1987	GEE	raster	https://api.resourcewatch.org/v1/layer/280030fb-080b-410f-a06f-a8b539593592
Brazil land cover 1988	GEE	raster	https://api.resourcewatch.org/v1/layer/01522269-e2bd-44c1-9d89-c2132c9ed2fb
Brazil land cover 1989	GEE	raster	https://api.resourcewatch.org/v1/layer/58cebbad-733a-4757-8fca-8eca533fc7e2
Brazil land cover 1990	GEE	raster	https://api.resourcewatch.org/v1/layer/e5d5ebcf-2685-4bb8-b5cd-966391c07a21
Brazil land cover 1991	GEE	raster	https://api.resourcewatch.org/v1/layer/76c70979-ed5d-489f-86e3-8c4d1211eb5f
Brazil land cover 1992	GEE	raster	https://api.resourcewatch.org/v1/layer/9adf01cf-5391-4051-a90c-aff11042e6f4
Brazil land cover 1993	GEE	raster	https://api.resourcewatch.org/v1/layer/80db67dc-f464-4981-b364-5c12d807de4a
Brazil land cover 1994	GEE	raster	https://api.resourcewatch.org/v1/layer/d5d05c08-0c49-4a93-a706-65c8004c8ba2
Brazil land cover 1995	GEE	raster	https://api.resourcewatch.org/v1/layer/a3f41e53-2ff0-46bf-883c-65edc73cd1a1
Brazil land cover 1996	GEE	raster	https://api.resourcewatch.org/v1/layer/c3e0446c-d07d-4548-b8d2-0fba4204ed88
Brazil land cover 1997	GEE	raster	https://api.resourcewatch.org/v1/layer/6c8ed840-cbc4-44ca-bf38-3d871dfbecbd
Brazil land cover 1998	GEE	raster	https://api.resourcewatch.org/v1/layer/2929ad2c-cc0f-42e3-8829-f506e1e89f56
Brazil land cover 1999	GEE	raster	https://api.resourcewatch.org/v1/layer/211392b9-5370-46de-b697-90e114e9d3da
Brazil land cover 2000	GEE	raster	https://api.resourcewatch.org/v1/layer/bdcfa995-6d0b-4872-b4e0-993fa3d8807b
Brazil land cover 2001	GEE	raster	https://api.resourcewatch.org/v1/layer/7c247437-9e8b-4c64-ab96-2f9dd7d2e701
Brazil land cover 2002	GEE	raster	https://api.resourcewatch.org/v1/layer/9a569c02-c5e2-4e06-9f9f-08635e7e6a4c
Brazil land cover 2003	GEE	raster	https://api.resourcewatch.org/v1/layer/63a121ef-d850-4a39-b913-143882185b02
Brazil land cover 2004	GEE	raster	https://api.resourcewatch.org/v1/layer/6b4582b9-61cc-4349-832e-ffc4a0b5a472
Brazil land cover 2005	GEE	raster	https://api.resourcewatch.org/v1/layer/1f968961-e5ee-447b-96f7-9d4959ad2c0f
Brazil land cover 2006	GEE	raster	https://api.resourcewatch.org/v1/layer/e7d307a1-7b4a-4ba2-a1be-aacbf36383b7
Brazil land cover 2007	GEE	raster	https://api.resourcewatch.org/v1/layer/7043b623-5625-4685-b6f2-aaefb919eb0e
Brazil land cover 2008	GEE	raster	https://api.resourcewatch.org/v1/layer/cb2d4546-670d-4e6d-aaaa-539505b6f423
Brazil land cover 2009	GEE	raster	https://api.resourcewatch.org/v1/layer/6f068255-cdff-4dd1-aacd-2ea3c063eb71
Brazil land cover 2010	GEE	raster	https://api.resourcewatch.org/v1/layer/921cb771-c821-4cc4-bb5c-394b3960e5db
Brazil land cover 2011	GEE	raster	https://api.resourcewatch.org/v1/layer/ac0515e7-d2a6-4e7c-9bf5-0017cd19fb1e
Brazil land cover 2012	GEE	raster	https://api.resourcewatch.org/v1/layer/4f1314f7-a59b-412b-a57f-c2585025bd0a
Brazil land cover 2013	GEE	raster	https://api.resourcewatch.org/v1/layer/daac1887-0417-48f6-b899-7f6584227618
Brazil land cover 2014	GEE	raster	https://api.resourcewatch.org/v1/layer/9c0f0d0b-73a2-4acc-b1c2-1ad6d7681f34
Brazil land cover 2015	GEE	raster	https://api.resourcewatch.org/v1/layer/65c3871e-f4b7-4fd2-8b95-04548dc0fd66
Brazil land cover 2016	GEE	raster	https://api.resourcewatch.org/v1/layer/da57458a-107d-4ed5-88ed-07e03f328693
Brazil land cover 2017	GEE	raster	https://api.resourcewatch.org/v1/layer/ed13c7ac-5ea1-49e3-9d3a-38dbf445a178
Mangrove biomass density	GEE	raster	https://api.resourcewatch.org/v1/layer/5196c6da-d5d2-4fbe-aef2-6aa882afbd7f
Population density - 2015	GEE	raster	https://api.resourcewatch.org/v1/layer/24aaef77-3cee-4bdd-b6c9-2f5ab147db7d
Potential carbon gains in cropland - 2018	GEE	raster	https://api.resourcewatch.org/v1/layer/d8d9e3ae-c6f3-41b5-b3a8-9bc0629a45f2
Potential carbon gains in cropland - 2028	GEE	raster	https://api.resourcewatch.org/v1/layer/1864947b-9fd4-4031-8f84-62a71c6e9536
Potential carbon gains in cropland - 2038	GEE	raster	https://api.resourcewatch.org/v1/layer/29d3e4e9-de51-42c0-afcb-5b4316cf4012
Potential carbon gains in cropland - 2048	GEE	raster	https://api.resourcewatch.org/v1/layer/804646ce-5a8f-4f09-935a-28be4a2d2ee8
Potential carbon gains in pastures - 2018	GEE	raster	https://api.resourcewatch.org/v1/layer/bbc3dd5a-cb1b-47c4-b369-953237018560
Potential carbon gains in pastures - 2028	GEE	raster	https://api.resourcewatch.org/v1/layer/f3ac8b80-32b9-438e-8a42-c38a143b4965
Potential carbon gains in pastures - 2038	GEE	raster	https://api.resourcewatch.org/v1/layer/c342ebdd-31b0-4875-ad74-6a01e23d4743
Potential carbon gains in pastures - 2048	GEE	raster	https://api.resourcewatch.org/v1/layer/1cc73ad5-f218-4797-9099-9031d7361c01
Potential carbon gains in young second-growth forests - 2018	GEE	raster	https://api.resourcewatch.org/v1/layer/ae18ed7c-f852-44f8-9e99-ecc1314bf298
Potential carbon gains in young second-growth forests - 2028	GEE	raster	https://api.resourcewatch.org/v1/layer/0e2892bc-4844-450c-a163-a808bec319d1
Potential carbon gains in young second-growth forests - 2038	GEE	raster	https://api.resourcewatch.org/v1/layer/8dea3c1f-cdef-4279-aa97-e9b7d8c7b514
Potential carbon gains in young second-growth forests - 2048	GEE	raster	https://api.resourcewatch.org/v1/layer/0cae9a9a-2a80-46eb-8c04-0ef7876d30b0
Primary forests - 2001	GEE	raster	https://api.resourcewatch.org/v1/layer/41086554-5ca5-456c-80dd-f6bee61bc45f
Projected carbon storage from forest regrowth	GEE	raster	https://api.resourcewatch.org/v1/layer/b8a993f3-cccf-4f43-a39b-a4f7e59000f0
Soil carbon density	GEE	raster	https://api.resourcewatch.org/v1/layer/d86c0afe-298a-4f7d-be69-e398b6a8ab20
Total potential carbon gains - 2028	GEE	raster	https://api.resourcewatch.org/v1/layer/217de2bc-9e88-45ab-9fce-902f61a9ae3e
Total potential carbon gains - 2038	GEE	raster	https://api.resourcewatch.org/v1/layer/a08a9344-adb0-42a2-abb2-e34d5f7ad087
Total potential carbon gains - 2048	GEE	raster	https://api.resourcewatch.org/v1/layer/adc98378-1a0b-4b57-8c18-27848ad3ca31
USA Land Cover - 2001	GEE	raster	https://api.resourcewatch.org/v1/layer/578b7ffe-ce22-4ede-b51d-dbe16dc22af8
USA Land Cover - 2006	GEE	raster	https://api.resourcewatch.org/v1/layer/7a9b0a06-7fda-4e12-824a-c9ae1ced3177
USA Land Cover - 2011	GEE	raster	https://api.resourcewatch.org/v1/layer/1ba24fc2-c826-4871-ae7e-c799669c37c7
USA Land Cover - 2016	GEE	raster	https://api.resourcewatch.org/v1/layer/d5b0a81b-70cd-4f33-860a-34a3c17867f3
Mongabay stories	geojson	vector	https://api.resourcewatch.org/v1/layer/51c9b85c-1e7a-4b79-8041-d906251c0d68
Mining concessions	mapbox	vector	https://api.resourcewatch.org/v1/layer/b8dbd752-08ea-4538-b15a-107a05f11463
Tree plantations	mapbox	vector	https://api.resourcewatch.org/v1/layer/f2604a93-8059-4b24-9d02-c43ac224e286
Carbon dioxide emissions from tree cover loss	tile layer	raster	https://api.resourcewatch.org/v1/layer/929662b6-3bf8-4413-b4b3-9b8c116f68bb
Deforestation alerts (GLAD)	tile layer	raster	https://api.resourcewatch.org/v1/layer/8e4a527d-1bcd-4a12-82b0-5a108ffec452
Deforestation alerts (Terra-i)	tile layer	raster	https://api.resourcewatch.org/v1/layer/50a76478-9f6e-4315-874a-611d10a50338
GLAD alerts (Confirmed Only)	tile layer	raster	https://api.resourcewatch.org/v1/layer/40247642-7c89-49f3-9c1e-521913a06ae8
Guatemala forest change - 2001-2006	tile layer	raster	https://api.resourcewatch.org/v1/layer/435d5254-c44e-49e2-9e31-0ff12b5f0514
Guatemala forest change - 2001-2006	tile layer	raster	https://api.resourcewatch.org/v1/layer/20152c7f-cbd7-4ed8-b483-06f0495c68b3
Guatemala forest cover - 2012	tile layer	raster	https://api.resourcewatch.org/v1/layer/86fe7099-4c2c-4171-b11a-57c7ff7e4e57
Guatemala forest density - 2012	tile layer	raster	https://api.resourcewatch.org/v1/layer/a2795ace-ca08-4dd0-829a-c39580804ec8
Indonesia primary forest - 2000	tile layer	raster	https://api.resourcewatch.org/v1/layer/60eb4495-dc01-459e-ba18-4a0c820d9619
Land Cover - 2015	tile layer	raster	https://api.resourcewatch.org/v1/layer/e67f4276-c1d0-4970-b2d6-6dd17843f4c9
Mexico forest cover - 2013-2014	tile layer	raster	https://api.resourcewatch.org/v1/layer/c396b4aa-737b-4d3c-a3fe-fd292b4a455b
Recent Satellite	tile layer	raster	https://api.resourcewatch.org/v1/layer/babd9968-4b55-4bc5-b771-d471ef8fbd8c
RTRS Guides for Responsible Soy Expansion - 2015	tile layer	raster	https://api.resourcewatch.org/v1/layer/bd0f1b68-4d70-41bd-bfb2-1831efc0c26e
Tree biomass density	tile layer	raster	https://api.resourcewatch.org/v1/layer/1a1199e2-896b-4051-9419-eb4f67c554a7
Tree cover - 2000	tile layer	raster	https://api.resourcewatch.org/v1/layer/0cba3c4f-2d3b-4fb1-8c93-c951dc1da84b
Tree cover - 2010	tile layer	raster	https://api.resourcewatch.org/v1/layer/2351399c-ef2c-48da-9485-20698190acb0
Tree cover gain - 2001-2012	tile layer	raster	https://api.resourcewatch.org/v1/layer/0abe4aea-cc86-4c75-8c16-2f16bf78d8be
Tree cover loss	tile layer	raster	https://api.resourcewatch.org/v1/layer/dce8004f-4d0f-4c2d-ae4b-dcf55e14035f
Tree cover loss by dominant driver	tile layer	raster	https://api.resourcewatch.org/v1/layer/04774cb7-912c-4612-bbd8-ba982d532c88
USA forest ownership type - 2009	tile layer	raster	https://api.resourcewatch.org/v1/layer/2978f7b2-fcdb-4fe6-bca4-7ef56b469805
WRI Oil Palm Suitability Standard	tile layer	raster	https://api.resourcewatch.org/v1/layer/0aaaaec8-3279-4a75-bedb-829c6cc88f36