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The product is based on the digital elevation model products of global 250 m GMTED2010. From https://www.earthenv.org/topography","stac_version":"1.0.0","stac_extensions":[]},{"id":"earthenv_landcover","type":"Collection","links":[{"rel":"items","type":"application/geo+json","href":"https://stac.geobon.org/collections/earthenv_landcover/items"},{"rel":"parent","type":"application/json","href":"https://stac.geobon.org/"},{"rel":"root","type":"application/json","href":"https://stac.geobon.org/"},{"rel":"self","type":"application/json","href":"https://stac.geobon.org/collections/earthenv_landcover"}],"title":"EarthEnv - Consensus Land Cover - Full version","extent":{"spatial":{"bbox":[[-180,-56,180,90]]},"temporal":{"interval":[["2000-01-01T00:00:00Z","2000-01-01T00:00:00Z"]]}},"license":"CC-BY-NC-4.0","description":"Consensus land cover dataset containing 12 data layers, each of which provides consensus information on the prevalence of one land-cover class. All data layers contain unsigned 8-bit values and the valid values range from 0-100, representing the consensus prevalence in percentage. All data layers have a spatial extent from 90ºN - 56ºS and from 180ºW - 180ºE, and have a spatial resolution of 30 arc-second per pixel (~1 km per pixel at the equator).","stac_version":"1.0.0","stac_extensions":[]},{"id":"earthenv_habitat_heterogeneity","type":"Collection","links":[{"rel":"items","type":"application/geo+json","href":"https://stac.geobon.org/collections/earthenv_habitat_heterogeneity/items"},{"rel":"parent","type":"application/json","href":"https://stac.geobon.org/"},{"rel":"root","type":"application/json","href":"https://stac.geobon.org/"},{"rel":"self","type":"application/json","href":"https://stac.geobon.org/collections/earthenv_habitat_heterogeneity"}],"title":"EarthEnv - Habitat heterogeneity","extent":{"spatial":{"bbox":[[-180,-60,180,85]]},"temporal":{"interval":[["2015-01-01T00:00:00Z","2015-12-31T00:00:00Z"]]}},"license":"CC-BY-NC-4.0","description":"The datasets contain 14 metrics quantifying spatial heterogeneity of global habitat at multiple resolutions based on the textural features of Enhanced Vegetation Index (EVI) imagery acquired by the Moderate Resolution Imaging Spectroradiometer (MODIS).","stac_version":"1.0.0","stac_extensions":[]},{"id":"accessibility_to_cities","type":"Collection","links":[{"rel":"items","type":"application/geo+json","href":"https://stac.geobon.org/collections/accessibility_to_cities/items"},{"rel":"parent","type":"application/json","href":"https://stac.geobon.org/"},{"rel":"root","type":"application/json","href":"https://stac.geobon.org/"},{"rel":"self","type":"application/json","href":"https://stac.geobon.org/collections/accessibility_to_cities"}],"title":"Accessibility - Time to access cities","extent":{"spatial":{"bbox":[[-180,-60,180,85]]},"temporal":{"interval":[["2015-01-01T00:00:00Z","2015-12-31T00:00:00Z"]]}},"license":"CC-BY-NC-4.0","description":"This global accessibility map enumerates land-based travel time to the nearest densely-populated area for all areas between 85 degrees north and 60 degrees south for a nominal year 2015. Densely-populated areas are defined as contiguous areas with 1,500 or more inhabitants per square kilometer or a majority of built-up land cover types coincident with a population centre of at least 50,000 inhabitants.","stac_version":"1.0.0","stac_extensions":[]},{"id":"colombia_forests","type":"Collection","links":[{"rel":"items","type":"application/geo+json","href":"https://stac.geobon.org/collections/colombia_forests/items"},{"rel":"parent","type":"application/json","href":"https://stac.geobon.org/"},{"rel":"root","type":"application/json","href":"https://stac.geobon.org/"},{"rel":"self","type":"application/json","href":"https://stac.geobon.org/collections/colombia_forests"}],"title":"Time series of the presence of forests in Colombia","extent":{"spatial":{"bbox":[[-81.68,-70.78999999999999,12.9]]},"temporal":{"interval":[["1990-01-01T00:00:00Z","2020-12-31T00:00:00Z"]]}},"license":"CC-BY-SA-4.0","description":"Yearly time series of binary forest cover in Colombia","stac_version":"1.0.0","stac_extensions":[]},{"id":"global-mammals","type":"Collection","links":[{"rel":"items","type":"application/geo+json","href":"https://stac.geobon.org/collections/global-mammals/items"},{"rel":"parent","type":"application/json","href":"https://stac.geobon.org/"},{"rel":"root","type":"application/json","href":"https://stac.geobon.org/"},{"rel":"self","type":"application/json","href":"https://stac.geobon.org/collections/global-mammals"}],"title":"Global habitat availability for mammals from 2015-2055","extent":{"spatial":{"bbox":[[-180,-90,180,90]]},"temporal":{"interval":[["2015-01-01T00:00:00Z","2055-01-01T00:00:00Z"]]}},"license":"CC-BY-NC-4.0","description":"Habitat availability for each mammal species (total 5090 species) in 0.25 degrees cells, from 2015 to 2055 in 5 year intervals, for the SSP/RCP scenarios. Developed for the BES-SIM project by the University of Sapienza team using the InSiGHTS (Integrated Scenarios of Global Habitat for Terrestrial Species) model","stac_version":"1.0.0","stac_extensions":[]},{"id":"fragmentation-rmf","type":"Collection","links":[{"rel":"items","type":"application/geo+json","href":"https://stac.geobon.org/collections/fragmentation-rmf/items"},{"rel":"parent","type":"application/json","href":"https://stac.geobon.org/"},{"rel":"root","type":"application/json","href":"https://stac.geobon.org/"},{"rel":"self","type":"application/json","href":"https://stac.geobon.org/collections/fragmentation-rmf"}],"title":"Relative Magnitude of Fragmentation (RMF)","extent":{"spatial":{"bbox":[[-180,-90,180,90]]},"temporal":{"interval":[["1992-01-01T00:00:00Z","2018-01-01T00:00:00Z"]]}},"license":"CC-BY-NC-4.0","description":"The Relative Magnitude of Fragmentation (RMF) measures the fragmentation of specific land cover types using the entropy-based local indicator of spatial association (ELSA). The values of ELSA vary between 0 and 1 (multiplied by a scale factor of 10000) denoting lowest and highest fragmentation. We use an existing spatially contiguous, global remote-sensing data product (i.e. the 27-year annual ESA CCI land cover maps which can be categorized as an EBV 'Ecosystem Distribution') to derive an annual (27 year) time-series of the Relative Magnitude of Fragmentation (RMF) at a global scale and with a spatial resolution of 300m. From this derived EBV data product, we can calculate a RMF indicator of ecosystem degradation, i.e. the change, and rate of change, in fragmentation of ecosystems (e.g. forests) over the last 27 years. This can provide important information for measuring biodiversity change as it directly links to the draft monitoring framework of the zero draft of the post-2020 global biodiversity framework of the Convention on Biological Diversity (CBD), especially Draft 2050 Goal 1 and the related Draft 2030 Target 1 (see Annex of  the zero draft). We define the 'forest' class by aggregating all 14 tree cover related land cover types from the ESA CCI product into one class. We further define eight non-forest classes (agriculture, grassland, wetland, settlement, sparse vegetation, bare area, water, permanent snow and ice) that we use as multinomial categorical data, or as binary categorical data (to define forest vs. non-forest). This classes follow the reclassification used by Mousivand & Arsanjani 2019 (Applied Geography 106: 82-92). For deriving the RMF, we either calculate ELSA using the binary categorical data (forest vs. non-forest) or the multinomial categorical data (forest vs. the eight non-forest classes).","stac_version":"1.0.0","stac_extensions":[]},{"id":"colombia-human-footprint","type":"Collection","links":[{"rel":"items","type":"application/geo+json","href":"https://stac.geobon.org/collections/colombia-human-footprint/items"},{"rel":"parent","type":"application/json","href":"https://stac.geobon.org/"},{"rel":"root","type":"application/json","href":"https://stac.geobon.org/"},{"rel":"self","type":"application/json","href":"https://stac.geobon.org/collections/colombia-human-footprint"}],"title":"Colombia - Human Footprint","extent":{"spatial":{"bbox":[[-79,-4,-66,12]]},"temporal":{"interval":[["1970-01-01T00:00:00Z","2018-12-31T00:00:00Z"]]}},"license":"CC-BY-NC-4.0","description":"Human Footprint dataset for Colombia for years 1970, 1990, 2000, 2015 and 2018","stac_version":"1.0.0","stac_extensions":[]},{"id":"colombia-protected-areas","type":"Collection","links":[{"rel":"items","type":"application/geo+json","href":"https://stac.geobon.org/collections/colombia-protected-areas/items"},{"rel":"parent","type":"application/json","href":"https://stac.geobon.org/"},{"rel":"root","type":"application/json","href":"https://stac.geobon.org/"},{"rel":"self","type":"application/json","href":"https://stac.geobon.org/collections/colombia-protected-areas"}],"title":"Colombia - Protected Areas","extent":{"spatial":{"bbox":[[-79,-4,-66,12]]},"temporal":{"interval":[["1930-01-01T00:00:00Z","2022-12-31T00:00:00Z"]]}},"license":"CC-BY-NC-4.0","description":"Protected areas of Colombia from 1930 to 2020","stac_version":"1.0.0","stac_extensions":[]},{"id":"earthenv_topography_derived","type":"Collection","links":[{"rel":"items","type":"application/geo+json","href":"https://stac.geobon.org/collections/earthenv_topography_derived/items"},{"rel":"parent","type":"application/json","href":"https://stac.geobon.org/"},{"rel":"root","type":"application/json","href":"https://stac.geobon.org/"},{"rel":"self","type":"application/json","href":"https://stac.geobon.org/collections/earthenv_topography_derived"}],"title":"EarthEnv - Derived topographic categorical variables","extent":{"spatial":{"bbox":[[-180,-60,180,85]]},"temporal":{"interval":[["2010-01-01T00:00:00Z","2010-12-31T00:00:00Z"]]}},"license":"CC-BY-NC-4.0","description":"A fully standardized and global multivariate product of different terrain features to support many large-scale research applications. 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","stac_version":"1.0.0"},{"id":"ncp_cna","type":"Collection","links":[{"rel":"items","type":"application/geo+json","href":"https://stac.geobon.org/collections/ncp_cna/items"},{"rel":"parent","type":"application/json","href":"https://stac.geobon.org/"},{"rel":"root","type":"application/json","href":"https://stac.geobon.org/"},{"rel":"self","type":"application/json","href":"https://stac.geobon.org/collections/ncp_cna"}],"title":"Nature's Contribution to People - Critical Natural Assets","extent":{"spatial":{"bbox":[[180,90,180,90]]},"temporal":{"interval":[["2022-01-01T00:00:00Z","2022-12-31T00:00:00Z"]]}},"license":"CC-BY-4.0","description":"Critical Natural Assets (CNAs) are ecosystems that provide 90 percent of the benefits from 14 types of nature's contributions to people (NCP) and are mapped globally at a 2 km resolution. From https://doi.org/10.1038/s41559-022-01934-5","stac_version":"1.0.0"},{"id":"bii_nhm","type":"Collection","links":[{"rel":"items","type":"application/geo+json","href":"https://stac.geobon.org/collections/bii_nhm/items"},{"rel":"parent","type":"application/json","href":"https://stac.geobon.org/"},{"rel":"root","type":"application/json","href":"https://stac.geobon.org/"},{"rel":"self","type":"application/json","href":"https://stac.geobon.org/collections/bii_nhm"}],"title":"Biodiversity Intactness Index","extent":{"spatial":{"bbox":[[-180,-90,180,90]]},"temporal":{"interval":[["2000-01-01T00:00:00Z","2020-12-31T00:00:00Z"]]}},"license":"Other (Non-Commercial)","description":"The Biodiversity Intactness Index developed by The Natural History Museum, London, v2.1.1. At approximately 10 km resolution. See https://data.nhm.ac.uk/dataset/bii-developed-by-nhm-v2-1-1-limited-release","stac_version":"1.0.0"},{"id":"csiro_parc","type":"Collection","links":[{"rel":"items","type":"application/geo+json","href":"https://stac.geobon.org/collections/csiro_parc/items"},{"rel":"parent","type":"application/json","href":"https://stac.geobon.org/"},{"rel":"root","type":"application/json","href":"https://stac.geobon.org/"},{"rel":"self","type":"application/json","href":"https://stac.geobon.org/collections/csiro_parc"}],"title":"CSIRO - PARC Protected Areas Representativeness","extent":{"spatial":{"bbox":[[180,90,180,90]]},"temporal":{"interval":[["1980-01-01T00:00:00Z","2024-12-31T00:00:00Z"]]}},"license":"CC-BY-4.0","description":"CSIRO Protected Area Representativeness Index (PARC: Representativeness) is a global 30 arc-second product for 1970,1980,1990,2000,2005,2010,2015, 2020, and 2024. The Protected Area Representativeness and Connectedness (PARC) indices measure the extent to which terrestrial protected areas, and other effective area-based conservation measures (OECMs), are ecologically representative, and well-connected (both to one another, and to other areas of intact natural ecosystems in the surrounding landscape). From: https://doi.org/10.25919/edwj-4b67 ","stac_version":"1.0.0"},{"id":"csiro_denominator","type":"Collection","links":[{"rel":"items","type":"application/geo+json","href":"https://stac.geobon.org/collections/csiro_denominator/items"},{"rel":"parent","type":"application/json","href":"https://stac.geobon.org/"},{"rel":"root","type":"application/json","href":"https://stac.geobon.org/"},{"rel":"self","type":"application/json","href":"https://stac.geobon.org/collections/csiro_denominator"}],"title":"CSIRO - Denominator","extent":{"spatial":{"bbox":[[180,90,180,90]]},"temporal":{"interval":[["1985-01-01T00:00:00Z","2024-12-31T00:00:00Z"]]}},"license":"CC-BY-NC-4.0","description":"CSIRO denominator used for the aggregation of CSIRO indicators. From: https://doi.org/10.25919/edwj-4b67 ","stac_version":"1.0.0"},{"id":"csiro_beri","type":"Collection","links":[{"rel":"items","type":"application/geo+json","href":"https://stac.geobon.org/collections/csiro_beri/items"},{"rel":"parent","type":"application/json","href":"https://stac.geobon.org/"},{"rel":"root","type":"application/json","href":"https://stac.geobon.org/"},{"rel":"self","type":"application/json","href":"https://stac.geobon.org/collections/csiro_beri"},{"rel":"items","href":"https://stac.geobon.org/collections/csiro_beri/items","type":"application/geo+json"}],"title":"CSIRO - BERI - Bioclimatic Ecosystem Resilience Index","extent":{"spatial":{"bbox":[[180,90,180,90]]},"temporal":{"interval":[["2000-01-01T00:00:00Z","2020-12-31T00:00:00Z"]]}},"license":"CC-BY-NC-4.0","description":"CSIRO Bioclimatic Ecosystem Resilience Index (BERI v2) is a global 30 arc-second product for the years 2000, 2005, 2010, 2015 and 2020. BERI measures the capacity of natural ecosystems to retain species diversity in the face of climate change, as a function of ecosystem area, connectivity and integrity. The indicator assesses the extent to which any given spatial configuration of natural habitat across a landscape will promote or hinder climate-induced shifts in biological distributions. It does this by analyzing the functional connectivity of each grid-cell of natural habitat to areas of habitat in the surrounding landscape which are projected to support a similar assemblage of species under climate change to that currently associated with the cell of interest. The indicator can then be aggregated and reported by any desired spatial unit – e.g. an ecosystem type, a country, or the entire planet.  . From: https://doi.org/10.25919/4vvz-4j96 ","stac_version":"1.0.0"},{"id":"csiro_bhi","type":"Collection","links":[{"rel":"items","type":"application/geo+json","href":"https://stac.geobon.org/collections/csiro_bhi/items"},{"rel":"parent","type":"application/json","href":"https://stac.geobon.org/"},{"rel":"root","type":"application/json","href":"https://stac.geobon.org/"},{"rel":"self","type":"application/json","href":"https://stac.geobon.org/collections/csiro_bhi"}],"title":"CSIRO - BHI - Biodiversity Habitat Index ","extent":{"spatial":{"bbox":[[180,90,180,90]]},"temporal":{"interval":[["2000-01-01T00:00:00Z","2020-12-31T00:00:00Z"]]}},"license":"CC-BY-NC-4.0","description":"CSIRO Biodiversity Habitat Index (BHI v2) is a global 30 arc-second product for 2000,2005,2010,2015 and 2020. BHI estimates the level of species diversity expected to be retained within any given spatial reporting unit (e.g., a country, a broad ecosystem type, or the entire planet) as a function of the unit’s area, connectivity and integrity of natural ecosystems across it. Results for the indicator can either be expressed as 1) the ‘effective proportion of habitat’ remaining within the unit – adjusting for the effects of the condition and functional connectivity of habitat, and of spatial variation in the species composition of ecological communities (beta diversity); or 2) the effective proportion of habitat that can be translated, through standard species-area analysis, into a prediction of the proportion of species expected to persist (i.e. avoid extinction) over the long term. From: https://doi.org/10.25919/tt2t-h452 ","stac_version":"1.0.0"}],"links":[{"rel":"root","type":"application/json","href":"https://stac.geobon.org/"},{"rel":"parent","type":"application/json","href":"https://stac.geobon.org/"},{"rel":"self","type":"application/json","href":"https://stac.geobon.org/collections"}]}