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Overview and highlights of Early Warning and Crop Condition Assessment projectWork of the Early Warning and Crop Condition Assessment (EW/CCA) project, one of eight projects in the Agriculture and Resources Inventory Surveys Through Aerospace Remote Sensing (AgRISTARS), is reviewed. Its mission, to develop and test remote sensing techniques that enhance operational methodologies for crop condition assessment, was in response to initiatives issued by the Secretary of Agriculture. Meteorologically driven crop stress indicator models have been developed or modified for wheat, maize, grain sorghum, and soybeans. These models provide early warning alerts of potential or actual crop stresses due to water deficits, adverse temperatures, and water excess that could delay planting or harvesting operations. Recommendations are given for future research involving vegetative index numbers and the NOAA and Landsat satellites.
Document ID
19860048838
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Boatwright, G. O.
(USDA, Agricultural Research Service, Houston TX, United States)
Whitehead, V. S.
(NASA Johnson Space Center Houston, TX, United States)
Date Acquired
August 12, 2013
Publication Date
January 1, 1985
Subject Category
Earth Resources And Remote Sensing
Accession Number
86A33576
Distribution Limits
Public
Copyright
Other

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