Monitoring Vegetation Drought Stress

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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.

Overview

VegDRI

VegDRI

The VegDRI is a hybrid drought index that incorporates multiple sources of input data informative of drought stress.

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QuickDRI

QuickDRI

Similar in methodology to VegDRI, QuickDRI is a hybrid drought index that incorporates multiple sources of input data informative of drought or rapidly drying conditions.

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News

Date published: November 7, 2019

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

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.

Date published: January 29, 2019

QuickDRI, VegDRI Showed Their Value in Montana Drought of 2017

In the spring of 2017, almost no one in Montana saw the drought coming. Not when winter snowpack and early rains soaked the landscapes with adequate moisture. Not when springtime green-up seemed to hold such promise.

Publications

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Year Published: 2016

Assessing the evolution of soil moisture and vegetation conditions during the 2012 United States flash drought

This study examines the evolution of several model-based and satellite-derived drought metrics sensitive to soil moisture and vegetation conditions during the extreme flash drought event that impacted major agricultural areas across the central U.S. during 2012. Standardized anomalies from the remote sensing based Evaporative Stress Index (ESI)...

Otkin, Jason A.; Anderson, Martha C.; Hain, Christopher; Svoboda, Mark; Johnson, David; Mueller, Richard; Tadesse, Tsegaye; Wardlow, Brian D.; Brown, Jesslyn

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Year Published: 2015

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...

Brown, Jesslyn; Howard, Daniel M.; Wylie, Bruce K.; Friesz, Aaron M.; Ji, Lei; Gacke, Carolyn
Remote Sens. 2015, 7(12), 16226-16240; doi:10.3390/rs71215825

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Year Published: 2015

Exploring drought controls on spring phenology

The timing of spring phenology can be influenced by several drivers. Many studies have shown the effect of temperature on spring vegetation growth, but the role of moisture is complex and not as well researched. We explored drivers for aspen spring phenology in the mountains of the western U.S. While temperature exerted control over the timing of...

Hayes, M.; Trnka, M.; Brown, Jesslyn; Meier, Gretchen