-
Google Global Landsat-based CCDC Segments (1999-2019)
This collection contains precomputed results from running the Continuous Change Detection and Classification (CCDC) algorithm on 20 years of Landsat surface reflectance data. CCDC is a break-point finding algorithm that uses harmonic fitting with a dynamic RMSE threshold to detect breakpoints in time-series data. The … change-detection google landcover landsat-derived landuse -
JRC Global Surface Water Mapping Layers, v1.4
This dataset contains maps of the location and temporal distribution of surface water from 1984 to 2021 and provides statistics on the extent and change of those water surfaces. For more information see the associated journal article: High-resolution mapping of global surface water and its … change-detection geophysical google jrc landsat-derived surface -
MCD64A1.061 MODIS Burned Area Monthly Global 500m
The Terra and Aqua combined MCD64A1 Version 6.1 Burned Area data product is a monthly, global gridded 500m product containing per-pixel burned-area and quality information. The MCD64A1 burned-area mapping approach employs 500m MODIS Surface Reflectance imagery coupled with 1km MODIS active fire observations. The algorithm … burn change-detection fire geophysical global mcd64a1 -
VNP64A1: Burned Area Monthly L4 Global 500m SIN Grid
The daily Suomi National Polar-Orbiting Partnership (Suomi NPP) NASA Visible Infrared Imaging Radiometer Suite (VIIRS) Burned Area (VNP64A1) Version 1 data product is a monthly, global gridded 500m product containing per-pixel burned area and quality information. The VNP64 burned area mapping approach employs 750m VIIRS … burn change-detection land nasa noaa surface -
USFS Landscape Change Monitoring System v2023.9 (CONUS and OCONUS)
This product is part of the Landscape Change Monitoring System (LCMS) data suite. It shows LCMS-modeled change, land cover, and/or land use classes for each year that covers the Conterminous United States (CONUS) and areas outside the CONUS (OCONUS) that include Southeastern Alaska (SEAK), Puerto … change-detection forest gtac landcover landsat landuse
[null,null,[],[[["Google's Global Landsat-based CCDC dataset provides 20 years of land cover change detection results using Landsat imagery and a break-point finding algorithm."],["JRC's Global Surface Water dataset maps the location and change of surface water from 1984 to 2021, offering insights into water extent and dynamics."],["Both MODIS (MCD64A1) and VIIRS (VNP64A1) offer monthly global burned area products at 500m resolution, utilizing different satellite sensors and methodologies."],["The USFS Landscape Change Monitoring System tracks land cover and land use changes across the US, including Alaska and Puerto Rico, focusing on forest and land cover transformations."]]],[]]