Remote Sensing Indices for Spatial Monitoring of Agricultural Drought in South Asian Countries

Remote Sensing

卷:13

BirhanuAsmerom Habtemicheal¹  Rashid Iqbal²  Shazia Ishfaq³  Farhan Mustafa⁴  Muhammad Bilal⁵  Muhammad Shahzaman⁶  Weijun Zhu⁶  Muhammad Arshad⁶  Irfan Ullah⁶ 

[1] Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China;

[2] Department of Agronomy, Faculty of Agriculture and Environment, The Islamia University Bahawalpur (IUB), Bahawalpur 63100, Pakistan;

[3] Department of Natural Sciences, University of Karachi, Karachi 75270, Pakistan;

[4] Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science and Technology, Nanjing 210044, China;

[5] Lab of Environmental Remote Sensing (LERS), School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China;

[6] School of Atmospheric Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China;

关键词: agricultural drought;    MODIS;    ESI;    VHI;    EVI;    SAI;   

DOI  :  10.3390/rs13112059

来源: DOAJ

【 摘 要 】

Drought is an intricate atmospheric phenomenon with the greatest impacts on food security and agriculture in South Asia. Timely and appropriate forecasting of drought is vital in reducing its negative impacts. This study intended to explore the performance of the evaporative stress index (ESI), vegetation health index (VHI), enhanced vegetation index (EVI), and standardized anomaly index (SAI) based on satellite remote sensing data from 2002–2019 for agricultural drought assessment in Afghanistan, Pakistan, India, and Bangladesh. The spatial maps were generated against each index, which indicated a severe agricultural drought during the year 2002, compared to the other years. The results showed that the southeast region of Pakistan, and the north, northwest, and southwest regions of India and Afghanistan were significantly affected by drought. However, Bangladesh faced substantial drought in the northeast and northwest regions during the drought year (2002). The longest drought period of seven months was observed in India followed by Pakistan and Afghanistan with six months, while, only three months were perceived in Bangladesh. The correlation between drought indices and climate variables such as soil moisture has remained a significant drought-initiating variable. Furthermore, this study confirmed that the evaporative stress index (ESI) is a good agricultural drought indicator, being quick and with greater sensitivity, and thus advantageous compared to the VHI, EVI, and SAI vegetation indices.

【 授权许可】

Unknown