Use Of Satellite And In Situ Data To Improve Sustainability

More than 30-year operational satellite data have already been used for monitoring land, ocean and atmosphere. These applications have contributed to improve sustainable economy, produce healthy environment and enhance human life. The Advanced Research Workshop sponsored by NATO and organized by the USA’s National Oceanic and Atmospheric Administration and Ukrainian’s Space Agency bring the scientists with the most mature research designed for practical use. The goals were to select those which is used for services today and identify the areas to expand research and services. Scientific and application results of the Workshop presented in this book can be used today in agriculture, forestry, water resources, healthy coastal life and fisheries, climate and land cover change, anthropogenic activities and others. The presented papers provide information on how to use operational satellites and in situ measurements for early detection of large-scale droughts, floods and fires, diagnose crop and pasture annual losses, predict periods with health/unhealthy vegetation based on such climate forcing events as ENSO, monitor air quality and geomagnetic activities, assess land cover trends in responce to global warming etc. The available satellite/ground information and method is currently warn with a lead time sufficient to respond, recover and protect.

This book discusses the detrimental consequences of climate-related land changes over a 40-year period between 1981 and 2020, and focuses on how climate warming is deteriorating the agricultural system due to excessive heat, lack of moisture and more intensive and widespread droughts leading to a reduction of agricultural production. Most of the existing literature on the unfavourable consequences of global warming for land are based on a relatively short period of weather station data, covering local land areas with limited networks and monitoring parameters. These concerns have led to the use of satellite data, whose measurements are controlled by such vegetation characteristics as chlorophyll, carotenoids, moisture contents in the plants and temperature inside the vegetation community. Therefore, the discussion of this book is completely based on high-resolution global land surface measurements by the sensors on the National Oceanic and Atmospheric Administration’s (NOAA) operational afternoon polar-orbiting satellites. The book also focuses on understanding climate change impacts on land changes where humans are living, and combines biophysically-grounded methods and the 40-year data to develop models for monitoring large-scale Earth warming impacts on land and for timely prediction of climate consequences for humans. These 40-year trends in land characteristics will help to better inform the assessment of potential changes in the future and how to reach human sustainability. The book will of interest to scientists using satellite remote sensing to track climate change impacts on land over time, as well as students and researchers in climatology and environmental sustainability.

The six volumes LNCS 11619-11624 constitute the refereed proceedings of the 19th International Conference on Computational Science and Its Applications, ICCSA 2019, held in Saint Petersburg, Russia, in July 2019. The 64 full papers, 10 short papers and 259 workshop papers presented were carefully reviewed and selected form numerous submissions. The 64 full papers are organized in the following five general tracks: computational methods, algorithms and scientific applications; high performance computing and networks; geometric modeling, graphics and visualization; advanced and emerging applications; and information systems and technologies. The 259 workshop papers were presented at 33 workshops in various areas of computational sciences, ranging from computational science technologies to specific areas of computational sciences, such as software engineering, security, artificial intelligence and blockchain technologies.

This volume gathers a variety of applications for remote sensing of vegetation health (VH) and concretely shows how this information can be used in service of ending hunger and of ensuring future food security. In this book’s ten chapters, Dr. Felix Kogan, one of the most prolific scientists in this sphere, shows how a new VH method, designed from operational environmental satellite data, can be used to provide advanced predictions of agricultural losses, helping to enhance food security and reducing the number of hungry people. Topics covered include the scientific basis of the VH method, drought monitoring, prediction of short-term agricultural yield and crop insurance, and impacts of long term climate variability and change on food security. A short discussion on VH for human health-related topics such as detection and prediction of malaria and fire risk is included as well.

This book presents research using high-resolution operational satellite data for monitoring and assessing numerically how to reduce the area and intensity of malaria outbreaks. Satellite data and imageries a powerful and effective tool for malaria monitoring and reduction of the number of affected people as it bypasses the limitations imposed by the dearth of near-the-ground weather data in many malaria-prone areas. With this in mind, this volume provides readers with: In-depth information in monitoring signs of malaria from operational polar-orbiting satellites Examples of country-specific models for predicting malaria area (1 and 4 km2 resolution) and intensity Information on the how the effects of climate change on malaria outbreak area and intensity can be monitored A new Vegetation Health (VH) methodology to estimate vegetation moisture, temperature and moisture/temperature conditions as indicators of malaria vector activity Advice to users on the application of VH technology for early assessments of malaria area, intensity and risk level Remote Sensing for Malaria is intended for an audience of public health practitioners, environmentalists, and students and researchers working in spatial epidemiology and disease prevention.

Big Data Analytics in the Insurance Market is an industry-specific guide to creating operational effectiveness, managing risk, improving financials, and retaining customers. A must for people seeking to broaden their knowledge of big data concepts and their real-world applications, particularly in the field of insurance.

This book focuses on the status quo and the latest information on the water-soil-agriculture nexus in the MENA countries. It presents several case studies and applications from e.g. Morocco, Algeria, Tunisia, Egypt and Jordan, while also sharing and discussing the latest findings. The content includes a range of agriculture-related topics that focus on: water resources management, impacts of climate change, and wastewater treatment for reuse in agriculture sectors; in addition, sustainable approaches to agricultural-based industry, organic crop production, crop water requirements, and soil environment are discussed in an updated and comprehensive review. In turn, the book discusses the applications of GIS and remote sensing as a new technology for better agriculture management, as well as its use in Egypt as a representative country. In closing, it considers the implementation of an environmental information system in data-scarce MENA countries from the standpoint of the water-food nexus, and addresses the question of climate justice in the MENA region. Exploring various dimensions of MENA country-based case studies on achieving sustainable agriculture, the book offers an invaluable source of topical information for agricultural sustainability-related stakeholders in the region, researchers and graduate students alike.