Random forest agreement of the overarching tidal wetland class for the first time step (1999-2001). Integer between 0 and 100. twprobabilityEnd. Random forest ...
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 ...
For example, because of the fluctuation of tide, certain areas in flooded areas, barren lands, and water bodies could be misclassified from one class to another ...
4) I don't plan on going on any kind of whitewater beyond class I (maybe class II but doubtful). Reasons for a cataraft or pontoon: 1) Safety. If I ram into ...
The data support generating Tier 1 estimates for Aboveground dry woody Biomass Density (AGBD) in natural forests in the 2019 Refinement to the 2006 IPCC ...
Jan 1, 2001 ... Classes are defined as follows: Permanent agriculture: Long-term, permanent tree cover loss for small- to large-scale agriculture. This includes ...
The GAP/LANDFIRE National Terrestrial Ecosystems data represents a detailed vegetation and land cover classification for the Conterminous US, Alaska, Hawaii, ...
Global 4-class PALSAR-2/PALSAR Forest/Non-Forest Map. The global forest/non ... tidal flat ecosystems produced via a supervised classification of 707,528 Landsat ...
Indeed, the classes in the land cover map can be combined to create a forest/non-forest map that is aligned with the FAO definition of forests. A platform for ...
A newer version of this dataset with 4 classes for 2017-2020 can be found in JAXA/ALOS/PALSAR/YEARLY/FNF4 The global forest/non-forest map (FNF) is generated by ...
A newer version of this dataset with 4 classes for 2017-2020 can be found in JAXA/ALOS/PALSAR/YEARLY/FNF4 The global forest/non-forest map (FNF) is generated by ...
Land cover maps describe the physical landscape in terms of land cover classes such as forest, grassland, and water. Earth Engine includes a wide variety of ...
A newer version of this dataset with 4 classes for 2017-2020 can be found in JAXA/ALOS/PALSAR/YEARLY/FNF4 The global forest/non-forest map (FNF) is generated by ...
Within-class accuracy was over 90% for forest cover, height, vegetation group, and disturbance code when compared to LANDFIRE maps. At least one pixel ...
Jan 1, 2023 ... Land Cover Type 4: Annual BIOME-Biogeochemical Cycles (BGC) classification ... Forest type changed: climate-based change to forest class. LW Class ...
A newer version of this dataset with 4 classes for 2017-2020 can be found in JAXA/ALOS/PALSAR/YEARLY/FNF4 The global forest/non-forest map (FNF) is generated by ...
Peta hutan/non-hutan global (FNF) dibuat dengan mengklasifikasikan citra SAR (koefisien pantulan balik) dalam mosaik SAR PALSAR-2/PALSAR resolusi global 25 ...
The GAP/LANDFIRE National Terrestrial Ecosystems data represents a detailed vegetation and land cover classification for the Conterminous US, Alaska, Hawaii, ...