Merging climate and multi-sensor time-series data in real-time drought monitoring across the U.S.A.

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Abstract

Droughts occur repeatedly in the United States resulting in billions of dollars of damage. Monitoring and reporting on drought conditions is a necessary function of government agencies at multiple levels. A team of Federal and university partners developed a drought decision- support tool with higher spatial resolution relative to traditional climate-based drought maps. The Vegetation Drought Response Index (VegDRI) indicates general canopy vegetation condition assimilation of climate, satellite, and biophysical data via geospatial modeling. In VegDRI, complementary drought-related data are merged to provide a comprehensive, detailed representation of drought stress on vegetation. Time-series data from daily polar-orbiting earth observing systems [Advanced Very High Resolution Radiometer (AVHRR) and Moderate Resolution Imaging Spectroradiometer (MODIS)] providing global measurements of land surface conditions are ingested into VegDRI. Inter-sensor compatibility is required to extend multi-sensor data records; thus, translations were developed using overlapping observations to create consistent, long-term data time series. 

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Additional publication details

Publication type Conference Paper
Publication Subtype Conference Paper
Title Merging climate and multi-sensor time-series data in real-time drought monitoring across the U.S.A.
Year Published 2011
Language English
Description 5 p.
Larger Work Title 34th International Symposium on Remote Sensing of Environment: The GEOSS Era: Towards Operational Environmental Monitoring
Conference Title 34th International Symposium on Remote Sensing of Environment
Conference Location Sydney, Australia
Conference Date April 10-15, 2011
Country United States
Online Only (Y/N) N
Additional Online Files (Y/N) N