Evaluation of Satellite Imagery to Increase Crop Yield in Irrigated Agriculture

The main aim of this study was to work out a satellite-imagery based approach that can be used to improve agricultural crop growing on a bigger-scale and on field level. Instead of working on small experimental fields, various vast farms have been selected, which were ready to cooperate for this study. Especially for the dry south of Ukraine, vegetation and soil indices provide useful information to improve crop development and productivity. However, many index variants produce similar results or unclear structures; therefore, their information content is restricted under practical conditions. The results analysis shows that a few indices are sufficient to regularly monitor irrigated fields. Talks with farmers revealed that advice is mainly needed to secure crop growth, leading to the decision to firstly select the indices NDVI and/or EVI. To detect failures in an early stage, we additionally used DIRT, NDRE, LAI, NMDI and OSAVI. NMDI could also be used to monitor irrigation activities. This article provides examples illuminating the implemented methodology.


Issue Date:
Sep 30 2018
Publication Type:
Journal Article
DOI and Other Identifiers:
Record Identifier:
https://ageconsearch.umn.edu/record/281644
ISSN:
1804-1930
Language:
English
Published in:
AGRIS on-line Papers in Economics and Informatics, 10, 3
Page range:
45-55




 Record created 2019-01-25, last modified 2020-10-28

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