Drought is a natural disaster that can significantly influence agriculture, water resources, and ecosystems. Effective monitoring and prediction of drought conditions heavily rely on the use of essential tools such as drought mapping, modeling, and remote sensing. Drought mapping is reliant on the use of geographic information systems to construct maps that exhibit the severity and spread of drought conditions. These maps are created by analyzing various data sources such as rainfall, temperature, soil moisture, and vegetation cover, based on several drought indices. The utilization of these maps can aid in the identification of drought-affected regions and, subsequently, prioritize the allocation of water resources accordingly. Remote sensors such as satellites can provide data on various parameters used for drought mapping and modeling. This chapter provides a comprehensive review of various aspects related to spatiotemporal drought mapping, modeling, and monitoring. Moreover, it offers valuable insights to policymakers, water managers, and farmers, highlighting effective strategies for alleviating the adverse effects of drought on agriculture, ecosystems, and communities.
Elsevier, Mafi-Gholami, Jaafari, Drought mapping, modeling, and remote sensing, Editor(s): Salim Lamine, Prashant K. Srivastava, Ahmed Kayad, Francisco Muñoz-Arriola, Prem Chandra Pandey; Remote Sensing of Soil and Land Surface Processes: Monitoring, Mapping, and Modeling, Elsevier, 2023, ISBN 9780323910682, https://doi.org/10.1016/B978-0-443-15341-9.00005-8
