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The forest api
The forest api











the forest api

It shows LCMS-modeled change, land cover, and/or land use classes for each year. This product is part of the Landscape Change Monitoring System (LCMS) data suite.

the forest api

USFS Landscape Change Monitoring System v2021.7 (Conterminous United States and Southeastern Alaska).USFS Landscape Change Monitoring System v2020.6 (Puerto Rico - US Virgin Islands only).Its objective is …Ĭhange change-detection forest gtac landcover landsat-derived LCMS is a remote sensing-based system for mapping and monitoring landscape change across the United States.

the forest api

  • USFS Landscape Change Monitoring System v2020.5.
  • Reference composite imagery represents median observations …įorest geophysical hansen landsat-derived umd The 'first' and 'last' bands are reference multispectral imagery from the first and last available years for Landsat spectral bands 3, 4, 5, and 7. Results from time-series analysis of Landsat images in characterizing global forest extent and change. To facilitate national land use planning and balancing the goals of economic development and maintenance of ecosystem services, a primary humid tropical forest map was created … Primary humid tropical forests provide numerous global ecosystem services, but are under continuing threat of clearing from economic drivers. The dataset is available for four epochs centered on the years 2000, 2005, 2010 … The Landsat Vegetation Continuous Fields (VCF) tree cover layers contain estimates of the percentage of horizontal ground in each 30-m pixel covered by woody vegetation greater than 5 meters in height.
  • Global Forest Cover Change (GFCC) Tree Cover Multi-Year Global 30m.
  • (2011) for details.Ĭanopy forest geophysical glas height jpl This dataset represents global tree heights based on a fusion of spaceborne-lidar data (2005) from the Geoscience Laser Altimeter System (GLAS) and ancillary geospatial data. Here, "forest" is defined as the natural forest with …Īlos alos2 classification eroc forest jaxa The global forest/non-forest map (FNF) is generated by classifying the SAR image (backscattering coefficient) in the global 25m resolution PALSAR-2/PALSAR SAR mosaic so that strong and low backscatter pixels are assigned as "forest" and "non-forest", respectively.
  • Global PALSAR-2/PALSAR Forest/Non-Forest Map.












  • The forest api