The drought assessment using inquisitive method - a case of Rajkot, Gujarat, India

2022 ◽  
Vol 14 (4) ◽  
pp. 1
Author(s):  
Saeid Eslamian ◽  
Prasit G. Agnihotri ◽  
Nidhi R. Chandarana
Keyword(s):  
Drought Assessment

Remote Sensing Based Assessment of Agricultural Droughts in Sub-Watersheds of Upper Bhima Basin, India

2019 ◽  
Vol 2 (2) ◽  
pp. 105-111 ◽  
Author(s):  
Nayan Zagade ◽  
Ajaykumar Kadam ◽  
Bhavana Umrikar ◽  
Bhagyashri Maggirwar
Keyword(s):  
Remote Sensing ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Agricultural Sector ◽  
Health Index ◽  
Drought Assessment ◽  
Drought Conditions ◽  
Moderate Resolution ◽  
Resolution Imaging ◽  
Vegetation Health Index

Drought assessment for agricultural sector is vital in order to deal with the water scarcity in Ahmednagar and Pune districts, particularly in sub-watersheds of upper catchment of the River Bhima. Moderate Resolution Imaging Spectro-radiometer (MODIS) satellite data (2000, 2002, 2009, 2014, 2015 and 2017) for the years receiving less rainfall have been procured and various indices were computed to understand the intensity of agricultural droughts in the area. Vegetation health index (VHI) is computed on the basis of vegetation moisture, vegetation condition and land surface temperature condition. Most of the reviewed area shows moderate to extreme drought conditions.

Meteorological and Hydrological Drought Assessment for Dong Nai River Basin, Vietnam under Climate Change

2021 ◽  
Author(s):  
Vu Thuy Linh ◽  
Vo Ngoc Quynh Tram ◽  
Ho Minh Dung ◽  
Dang Nguyen Dong Phuong ◽  
Nguyen Duy Liem ◽  
...  
Keyword(s):  
Climate Change ◽  
River Basin ◽  
Hydrological Drought ◽  
Drought Assessment

scholarly journals Satellite-based Hybrid Drought Assessment using Vegetation Drought Response Index in South Korea (VegDRI-SKorea)

2015 ◽  
Vol 57 (4) ◽  
pp. 1-9 ◽  
Author(s):  
Won-Ho Nam ◽  
Tsegaye Tadesse ◽  
Brian D. Wardlow ◽  
Min-Won Jang ◽  
Suk-Young Hong
Keyword(s):  
South Korea ◽  
Drought Response ◽  
Drought Assessment ◽  
Response Index
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