The Use Of Remote Sensing Data For Drought Assessment And Monitoring In Southwest Asia

This report describes the development of the near real-time drought monitoring and reporting system for the region, which currently includes Afghanistan, Pakistan and western parts of India. The system is based on drought-related indices derived from high-resolution remote-sensing data (MODIS). The unique feature of the study is the development of regression relationships between drought-related indices obtained from MODIS and AVHRR data, which have different pixel-resolution and optical characteristics. The goal is to make the system available, via Internet, to all stakeholders in the region.

This volume provides in-depth coverage of the latest in remote sensing of hydrological extremes: both floods and droughts. The book is divided into two distinct sections – floods and droughts – and offers a variety of techniques for monitoring each. With rapid advances in computer modelling and observing systems, floods and droughts are studied with greater precision today than ever before. Land surface models, especially over the entire Continental United States, can map the hydrological cycle at kilometre and sub-kilometre scales. In the case of smaller areas there is even higher spatial resolution and the only limiting factor is the resolution of input data. In-situ sensors are automated and the data is directly relayed to the world wide web for many hydrological variables such as precipitation, soil moisture, surface temperature and heat fluxes. In addition, satellite remote sensing has advanced to providing twice a day repeat observations at kilometre to ten-kilometre spatial scales. We are at a critical juncture in the study of hydrological extremes, and the GPM and SMAP missions as well as the MODIS and GRACE sensors give us more tools and data than were ever available before. A global variety of chapter authors provides wide-ranging perspectives and case studies that will make this book an indispensable resource for researchers, engineers, and even emergency management and insurance professionals who study and/or manage hydrological extremes.

The second volume of this comprehensive global perspective on Integrated Drought Management is focused on drought modeling, meteorological prediction, and the use of remote sensing in assessing, analyzing, and monitoring drought. It discusses risk management, planning, policy, and societal impacts of drought such as water pricing, water transfer, water quality, and crop insurance. Through numerous case studies from India, Iran, Brazil, the US, Nepal, and other countries that cover a broad range of topics and geographical regions, this volume serves as a valuable resource for all professionals, researchers, and academics who want to advance their knowledge about droughts. 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 from 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.

This volume include over 30 chapters, written by experts from around the world. It examines drought and all of the fundamental principles relating to drought and water scarcity. It includes coverage of the causes of drought, occurences, preparations, drought vulnerability assessments, societal implications, and more.

This book essentially comprises the proceedings of the 11th International Conference of Meteorology, Climatology and Atmospheric Physics (COMECAP 2012) that is held in Athens from 30 May to 1 June 2012. The Conference addresses researchers, professionals and students interested in the following topics: Agricultural Meteorology and Climatology, Air Quality, Applied Meteorology and Climatology, Applications of Meteorology in the Energy Sector, Atmospheric Physics and Chemistry, Atmospheric Radiation, Atmospheric Boundary Layer, Biometeorology and Bioclimatology, Climate Dynamics, Climatic Changes, Cloud Physics, Dynamic and Synoptic Μeteorology, Extreme Events, Hydrology and Hydrometeorology, Mesoscale Meteorology, Micrometeorology/Urban Microclimate, Remote Sensing/ Satellite Meteorology and Climatology, Weather Analysis and Forecasting. The book includes all papers that have been accepted for presentation at the conference.

Extreme weather and climate change aggravate the frequency and magnitude of disasters. Facing atypical and more severe events, existing early warning and response systems become inadequate both in scale and scope. Earth Observation (EO) provides today information at global, regional and even basin scales related to agrometeorological hazards. This book focuses on drought, flood, frost, landslides, and storms/cyclones and covers different applications of EO data used from prediction to mapping damages as well as recovery for each category. It explains the added value of EO technology in comparison with conventional techniques applied today through many case studies.

This book is a compilation of peer-reviewed papers presented at the International Conference on Machine Intelligence and Data Science Applications (MIDAS 2022), held on October 28 and 29, 2022, at the University of Versailles—Paris-Saclay, France. The book covers applications in various fields like data science, machine intelligence, image processing, natural language processing, computer vision, sentiment analysis, and speech and gesture analysis. It also includes interdisciplinary applications like legal, healthcare, smart society, cyber-physical system, and smart agriculture. The book is a good reference for computer science engineers, lecturers/researchers in the machine intelligence discipline, and engineering graduates.