This presentation discusses MODIS NDVI change detection methods and products used in the ForWarn Early Warning System (EWS) for near real time (NRT) recognition and tracking of regionally evident forest disturbances throughout the conterminous US (CONUS). The latter has provided NRT forest change products to the forest health protection community since 2010, using temporally processed MODIS Aqua and Terra NDVI time series data to currently compute and post 6 different forest change products for CONUS every 8 days. Multiple change products are required to improve detectability and to more fully assess the nature of apparent disturbances. Each type of forest change product reports per pixel percent change in NDVI for a given 24 day interval, ...
The Vegetative Cover Conversion (VCC) product is designed to serve as a global alarm for land cover ...
The research applied new methods that integrated remote sensing and other spatial data bases to answ...
Nowadays, Breaks for Additive Seasonal and Trend (BFAST) method based on time series of Moderate Res...
Forest threats across the US have become increasingly evident in recent years. Sometimes these have ...
U.S. forests occupy approx. 751 million acres (approx. 1/3 of total land). These forests are exposed...
This case study shows the promise of computing current season forest disturbance detection products ...
U.S. forests occupy approx 751 million acres (approx 1/3 of total land). Several abiotic and biotic ...
This paper examines the potential of MODIS-NDVI time series for detecting clear-cuts in a coniferous...
This paper examines the potential of MODIS-NDVI time series for detecting clear-cuts in a coniferous...
Near real time forest disturbance detection maps from MODIS NDVI phenology data have been produced s...
For food crises early warning purposes, coarse spatial resolution NDVI data are widely used to monit...
This study proposed a multi-target hierarchical detection (MTHD) method to simultaneously and automa...
ABSTRACT: Forest cover change is an important part of global environmental change, which could induc...
Across boreal forests and resource rich areas, human-induced change is rapidly occurring at various ...
Forestry and nature conservation can benefit from rapid on-line information on forest disturbances, ...
The Vegetative Cover Conversion (VCC) product is designed to serve as a global alarm for land cover ...
The research applied new methods that integrated remote sensing and other spatial data bases to answ...
Nowadays, Breaks for Additive Seasonal and Trend (BFAST) method based on time series of Moderate Res...
Forest threats across the US have become increasingly evident in recent years. Sometimes these have ...
U.S. forests occupy approx. 751 million acres (approx. 1/3 of total land). These forests are exposed...
This case study shows the promise of computing current season forest disturbance detection products ...
U.S. forests occupy approx 751 million acres (approx 1/3 of total land). Several abiotic and biotic ...
This paper examines the potential of MODIS-NDVI time series for detecting clear-cuts in a coniferous...
This paper examines the potential of MODIS-NDVI time series for detecting clear-cuts in a coniferous...
Near real time forest disturbance detection maps from MODIS NDVI phenology data have been produced s...
For food crises early warning purposes, coarse spatial resolution NDVI data are widely used to monit...
This study proposed a multi-target hierarchical detection (MTHD) method to simultaneously and automa...
ABSTRACT: Forest cover change is an important part of global environmental change, which could induc...
Across boreal forests and resource rich areas, human-induced change is rapidly occurring at various ...
Forestry and nature conservation can benefit from rapid on-line information on forest disturbances, ...
The Vegetative Cover Conversion (VCC) product is designed to serve as a global alarm for land cover ...
The research applied new methods that integrated remote sensing and other spatial data bases to answ...
Nowadays, Breaks for Additive Seasonal and Trend (BFAST) method based on time series of Moderate Res...