Publications

Mukherjee, S; Hazra, S (2022). Assessment of agricultural drought using multi-temporal synthetic aperture radar (SAR) and multispectral data - A case study on part of Odisha State, India. ADVANCES IN SPACE RESEARCH, 70(12), 3859-3869.

Abstract
Drought is primarily considered as a natural hazard which is a resultant phenomenon of less rainfall. When an agricultural area constantly received low rainfall during the sowing and growing season of crop, the soil moisture of the cropland goes down and the crop began to wilt, the situation is known as agricultural drought. Present study, used the multi-temporal Sentinel 1 SAR and Landsat optical data to assess the agricultural drought in the part of Odisha state. Initially, to establish the methodology, correlation between NDVI and SAR backscattering has been carried out for the demarcated agricultural landscape of MODIS images derived landcover map of 2019. The drought assessment has been carried out for the month of Jun-July of 2020 and 2021 which is the kharif crop growing season. Thereafter, the backscattering vale range has been identified as a threshold value to delineate the agricultural drought affected areas from other SAR images of various vintages. The study area was more affected by the drought in 2020 compared to 2021. In this study, it is observed that although the area is drought affected, received less rainfall, but due to location in coastal region this area is mostly under cloud cover, therefore, it is very difficult assess the agricultural drought using optical remote sensing data. SAR data is also sensitive to soil moisture condition; therefore, it can be potentially to be used for drought assessment for the coastal agricultural area. (c) 2022 COSPAR. Published by Elsevier B.V. All rights reserved.

DOI:
10.1016/j.asr.2022.04.064

ISSN:
1879-1948