Monitoring agricultural drought using geospatial techniques: a case study of Thal region of Punjab, Pakistan
Author(s) -
Muhammad Amin,
Mobushir Riaz Khan,
Sher Shah Hassan,
Aftab Ahmad Khan,
Muhammad Imran,
Muhammad Arif Goheer,
Syeda Mahlaqa Hina,
Abida Perveen
Publication year - 2020
Publication title -
journal of water and climate change
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.421
H-Index - 22
eISSN - 2408-9354
pISSN - 2040-2244
DOI - 10.2166/wcc.2020.232
Subject(s) - normalized difference vegetation index , agriculture , cropping , geospatial analysis , environmental science , vegetation (pathology) , agricultural productivity , precipitation , enhanced vegetation index , crop yield , kharif crop , index (typography) , physical geography , geography , water resource management , agronomy , vegetation index , leaf area index , cartography , meteorology , biology , medicine , archaeology , pathology , world wide web , computer science
The Thal region of Punjab often experiences dry weather conditions with extreme variability in rainfall on a spatiotemporal scale during Rabi cropping season. The current study assesses the impacts of agricultural drought on wheat crops for 2000–2015. MOD13Q1 and CHIRPS data were used for identifying and assessing variation in agricultural drought patterns and severity. Standardized Precipitation Index (SPI), Normalized Difference Vegetation Index (NDVI), Vegetation Condition Index (VCI), Stress Vegetation Index (STVI) and wheat crop yield anomalies were computed to characterize the gravity of drought across the Thal region. The results indicate that the wheat Rabi cropping seasons of the years 2000–2002 experienced extreme agricultural drought, with a spatial difference in severity level causing low and poor yield, while the years 2011 and 2014 were almost normal among all the years, leaving varied impacts on wheat yield. The combined agricultural risk map was generated by integrating the agricultural and meteorological droughts severity maps. The combined risk map generated using weighted overlay analysis of all the parameters indicate that the total Thal area can be classified into slight, moderate and no drought covering 28.12, 12.76, and 59.12% respectively of the total area. Hence an agricultural risk map would be extremely helpful as a tool to guide the decision-making process for monitoring drought risk on agricultural productivity.
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