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Monitoring Vegetation Drought Stress

Climate change is expected to alter precipitation patterns worldwide, potentially increasing chances for drought in places where rainfall decreases over extended periods. Currently, droughts are responsible for $6 to $8 billion in losses each year in the United States alone. Accurate monitoring of drought conditions is vital in helping to mitigate drought impacts.

News

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MIrAD Version 4 (250-Meter Resolution and 1-Kilometer Resolution) Dataset Released

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QuickDRI, VegDRI Showed Their Value in Montana Drought of 2017

Publications

Exploring the regional dynamics of U.S. irrigated agriculture from 2002 to 2017

The United States has a geographically mature and stable land use and land cover system including land used as irrigated cropland; however, changes in irrigation land use frequently occur related to various drivers. We applied a consistent methodology at a 250 m spatial resolution across the lower 48 states to map and estimate irrigation dynamics for four map eras (2002, 2007, 2012, and 2017) and

Exploring VIIRS continuity with MODIS in an expedited capability for monitoring drought-related vegetation conditions

Vegetation has been effectively monitored using remote sensing time-series vegetation index (VI) data for several decades. Drought monitoring has been a common application with algorithms tuned to capturing anomalous temporal and spatial vegetation patterns. Drought stress models, such as the Vegetation Drought Response Index (VegDRI), often use VIs like the Normalized Difference Vegetation Index

Application-ready expedited MODIS data for operational land surface monitoring of vegetation condition

Monitoring systems benefit from high temporal frequency image data collected from the Moderate Resolution Imaging Spectroradiometer (MODIS) system. Because of near-daily global coverage, MODIS data are beneficial to applications that require timely information about vegetation condition related to drought, flooding, or fire danger. Rapid satellite data streams in operational applications have clea

Science

MODIS Irrigated Agriculture

Moderate Resolution Imaging Spectroradiometer (MODIS) Irrigated Agriculture Dataset for the United States (MIrAD-US)
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MODIS Irrigated Agriculture

Moderate Resolution Imaging Spectroradiometer (MODIS) Irrigated Agriculture Dataset for the United States (MIrAD-US)
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Moderate Resolution Imaging Spectroradiometer (MODIS) Irrigated Agriculture Dataset for the United States (MIrAD-US)

The Moderate Resolution Imaging Spectroradiometer (MODIS) Irrigated Agriculture Dataset for the United States (MIrAD-US) suite of irrigation products was developed by the U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center. The goal of MIrAD is to provide a comprehensive and consistently processed geospatial dataset for irrigated agriculture across the conterminous...
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Moderate Resolution Imaging Spectroradiometer (MODIS) Irrigated Agriculture Dataset for the United States (MIrAD-US)

The Moderate Resolution Imaging Spectroradiometer (MODIS) Irrigated Agriculture Dataset for the United States (MIrAD-US) suite of irrigation products was developed by the U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center. The goal of MIrAD is to provide a comprehensive and consistently processed geospatial dataset for irrigated agriculture across the conterminous...
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Drought Monitoring Datasets Available as OGC Web Map Services (WMS)

Web ServicesThe Drought Monitoring datasets are available as OGC Web Map Services (WMS). You can access the services using the below links.
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Drought Monitoring Datasets Available as OGC Web Map Services (WMS)

Web ServicesThe Drought Monitoring datasets are available as OGC Web Map Services (WMS). You can access the services using the below links.
Learn More