Farming communities in the United States and around the world lose billions of dollars every year due to drought. Drought Indices such as the Palmer Drought Severity Index (PDSI) and Standardized Precipitation Index (SPI) are widely used by the government agencies to assess and respond to drought. These drought indices are currently monitored at a large spatial resolution (several thousand km2). Further, these drought indices are primarily based on precipitation deficits and are thus good indicators for monitoring large scale meteorological drought. However, agricultural drought depends on soil moisture and evapotranspiration deficits. Hence, two drought indices, the Evapotranspiration Deficit Index (ETDI) and Soil Moisture Deficit Index (SMDI), were developed in this study based on evapotranspiration and soil moisture deficits, respectively. A Geographical Information System (GIS) based approach was used to simulate the hydrology using soil and land use properties at a much finer spatial resolution (16km2) than the existing drought indices. The Soil and Water Assessment Tool (SWAT) was used to simulate the long-term hydrology of six watersheds located in various climatic zones of Texas. The simulated soil water was well-correlated with the Normalized Difference Vegetation Index NDVI (r ~ 0.6) for agriculture and pasture land use types, indicating that the model performed well in simulating the soil water. Using historical weather data from 1901-2002, long-term weekly normal soil moisture and evapotranspiration were estimated. This long-term weekly normal soil moisture and evapotranspiration data was used to calculate ETDI and SMDI at a spatial resolution of 4km x 4km. Analysis of the data showed that ETDI and SMDI compared well with wheat and sorghum yields (r> 0.75) suggesting that they are good indicators of agricultural drought. Rainfall is a highly variable input both spatially and temporally. Hence, the use of NEXRAD rainfall data was studied for simulating soil moisture and drought. Analysis of the data showed that raingages often miss small rainfall events that introduce considerable spatial variability among soil moisture simulated using raingage and NEXRAD rainfall data, especially during drought conditions. The study showed that the use of NEXRAD data could improve drought monitoring at a much better spatial resolution.

Basic concepts and drought analysis. Remote sensing. NOAA/AVHRR satellite data-based indices for monitoring agricultural droughts. The Americas. Europe, Russia, and the near east. Asia and Australia. International efforts and climate change.

Information-based decision-making during drought, often brings out some of the excellent practices that are prevalent in society / individuals. This book is designed to provide information on the drought process, meteorological, hydrological, agriculture, socio-economic aspects and available technologies such as satellite remote sensing data analysis and Geographical Information system for assessment. Assessment procedures utilising the various parameters of importance from various sources for micro level management that would enhance the effectiveness of management practice are dealt in detail. Resource availability and affected group determine the relief assistance for the present event and information that would help them in their realisation and preparedness for the forthcoming years by select countries is highlighted. This would help in the formulation of schemes for event mitigation and area development plans. The readers would gain complete knowledge on drought. This book is expected to act as a guide in preparing people as effective natural resource utilizationist under drought situations.

The first volume of this comprehensive global perspective on Integrated Drought Management is focused on understanding drought, causes, and the assessment of drought impacts. It explains different types of drought: agricultural, meteorological, hydrological, and socioeconomic droughts, their indices and the impact of climate change on drought. The volume also examines spatiotemporal analysis of drought, variability and patterns, assessment, and drought evaluation. With numerous case studies from India, Mexico, Turkey, Brazil, US, and other countries, this volume serves as a valuable resource for all readers who want to advance their knowledge on drought and risk management. Features: Provides a global perspective on drought prediction and management and a synthesis of the recent state of knowledge. Covers a wide range of topics from essential concepts and advanced techniques for forecasting and modeling drought to societal impacts, consequences, and planning. Presents numerous case studies with different management approaches from different regions and countries. Addresses how climate change impacts drought, the increasing challenges associated with managing drought, decision making, and policy implications. Includes contributions from hundreds of experts around the world. Professionals, researchers, academics, and postgraduate students with knowledge in environmental sciences, ecology, agriculture, forestry, hydrology, water resources engineering, and earth sciences, as well as those interested in how climate change impacts drought management, will gain new insights from the experts featured in this two-volume handbook.

First Published in 2011. Routledge is an imprint of Taylor & Francis, an informa company.

The majority of the examples are taken from regions where the rivers run most of the year.

Remote Sensing of Drought: Innovative Monitoring Approaches presents emerging remote sensing-based tools and techniques that can be applied to operational drought monitoring and early warning around the world. The first book to focus on remote sensing and drought monitoring, it brings together a wealth of information that has been scattered throughout the literature and across many disciplines. Featuring contributions by leading scientists, it assembles a cross-section of globally applicable techniques that are currently operational or have potential to be operational in the near future. The book explores a range of applications for monitoring four critical components of the hydrological cycle related to drought: vegetation health, evapotranspiration, soil moisture and groundwater, and precipitation. These applications use remotely sensed optical, thermal, microwave, radar, and gravity data from instruments such as AMSR-E, GOES, GRACE, MERIS, MODIS, and Landsat and implement several advanced modeling and data assimilation techniques. Examples show how to integrate this information into routine drought products. The book also examines the role of satellite remote sensing within traditional drought monitoring, as well as current challenges and future prospects. Improving drought monitoring is becoming increasingly important in addressing a wide range of societal issues, from food security and water scarcity to human health, ecosystem services, and energy production. This unique book surveys innovative remote sensing approaches to provide you with new perspectives on large-area drought monitoring and early warning.