Archives of Agriculture Research and Technology
[ ISSN : 2832-8639 ]

Satellite Data for Yield Estimation: A Short Review

Volume 1 - Issue 1

Mohammed A El Shirbeny*

Published : April 01, 2020


When NASA started the Earth Resources Technology Satellites Program (later called Landsat); the researchers began studies on monitoring the vegetation cover horizontally and vertically by studying the variation in cultivated areas[1-3]. Comprehensive and intensive studies were conducted on vegetation and thermal indices such as NDVI [4], Soil Adjusted Vegetation Index (SAVI)[5], Crop Water Stress Index (CWSI) [6-8], and Water Deficit Index (WDI)[9]. These indices applied to estimate the yield. Idso et al. [10,11] used RS to estimate wheat yield based on linear regression equations and suggested Stress Degree days (SDD) method for scheduling the irrigation. Tucker et al. [12]related the yield to NDVI at specific periods through the growing period.