

GPWv411: Land Area (Gridded Population of the World Version 4.11).GPWv411: Data Context (Gridded Population of the World Version 4.11).Population is distributed to cells using proportional allocation of population from census … The Gridded Population of World Version 4 (GPWv4), Revision 11 models the distribution of global human population for the years 2000, 2005, 2010, 2015, and 2020 on 30 arc-second (approximately 1km) grid cells. GPWv411: Basic Demographic Characteristics (Gridded Population of the World Version 4.11).This version of the SRTM digital elevation data has been processed to fill data voids, and to facilitate its ease of use.ĭem elevation geophysical srtm topography The Shuttle Radar Topography Mission (SRTM) digital elevation dataset was originally produced to provide consistent, high-quality elevation data at near global scope. The major advantages of the PML_V2 products are: coupled estimates of transpiration and GPP … Penman-Monteith-Leuning Evapotranspiration V2 (PML_V2) products include evapotranspiration (ET), its three components, and gross primary product (GPP) at 500m and 8-day resolution during 2000-2017 and with spatial range from -60°S to 90°N. PML_V2 0.1.7: Coupled Evapotranspiration and Gross Primary Product (GPP).
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A series of methods was used to mitigate the impact of inter-annual inconsistency, saturation, and blooming effects and to improve data … The Consistent and Corrected Nighttime Lights (CCNL) dataset is a reprocessed version of the Defense Meteorological Program (DMSP) Operational Line-Scan System (OLS) Version 4. CCNL: Consistent And Corrected Nighttime Light Dataset from DMSP-OLS (1992-2013) v1.

To date, more than 6,000 terrestrial AIM field plots have been collected over BLM lands. Since 2011, the Bureau of Land Management (BLM) has collected field information to inform land health through its Assessment Inventory and Monitoring (AIM) strategy. BLM AIM TerrADat TerrestrialAIM Point v1.See article for additional …īiodiversity conservation crop global landuse The classified images are the output of a convolutional neural network based on Sentinel-1 and Sentinel-2 half-year composites.

It covers areas where oil palm plantations were detected. The dataset is a 10m global industrial and smallholder oil palm map for 2019. DEM-S represents ground surface topography (excluding vegetation features) and has been smoothed to reduce noise and improve the representation of surface shape. The Smoothed Digital Elevation Model (DEM-S) was derived from the SRTM data acquired by NASA in February 2000.
