This book discusses the problems in planning, building, and management strategies in the wake of application and expansion of remote sensing and GIS products in natural resources and infrastructure management. The book suggests proactive solutions to problems of natural resources and infrastructure management, providing alternatives for strategic planning, effective delivery, and growth perspectives. The uniqueness of the book is its broader spectrum of coverage with related interconnections and interdependences across science, engineering, and innovation. The book contains information that can be downscaled to the local level. Presenting a wide spectrum of viewpoints and approaches, the book is a collective of topics such as application to agriculture and forestry (land and landscape, agriculture, forestry management and deforestation), water resources and ecology (hydro-meteorological, climate diagnostics, and prognostics, water resources management, environment management, cross-scale ecology and resilience), urban management (urban planning, design, construction and operations of infrastructure, natural disasters, novel approaches to upgrade old infrastructure), hydro informatics, predictive and geospatial data analytics, synthesis, and management through the various processes, tools, and technologies.

Advances in spatial, spectral, and temporal resolution over the past several years have greatly expanded opportunities for practical applications of remote sensing data. To explore the implications of these possibilities, the NRC held a series of three workshops on different facets of remote sensing applications. This report is on the third of those workshops: the development and use of remote sensing data and information by state, local, and regional governments. The steering committee was asked to examine the opportunities, potential challenges, and policy issues associated with the application of remote sensing data in the public sector including approaches and procedures for government agencies to use such data and barriers to development and use of the applications. The resulting report is addressed primarily to non-technical managers and decisions makers at all levels of government below the federal level.

Water Resources Monitoring, Management, and Sustainability: Application of Geostatistics and Geospatial Modeling, Volume 16, a new volume in the Developments in Environmental Science series, introduces a variety of advanced modeling techniques like changing climate and land use/land cover, hydrological models, and machine learning approaches. These techniques are applied to address water resources and environmental monitoring, as well as planning and sustainable management of water resources. Further, the book discusses how to manage water resources at various local, regional, and international levels while incorporating environmental considerations. Finally, it delves into cutting-edge techniques based on open-source software and R statistical programming, Google Earth Engine, and modeling in modern artificial intelligence techniques, with a particular emphasis on recent trends in datamining techniques and robust modeling in water resource crisis-related hazards. - Provides essential information on new methods for managing water resources to minimize the global water crisis - Illustrates a geospatial technology approach to datamining techniques, data analysis, modeling, risk assessment and visualization, and management strategies in many elements of natural and societal hazards - Includes works that address the connection between water, climate change, and the environment

This book addresses the environmental challenges that Libya and similar countries in the regions are currently facing. Each chapter of this book provides a methodology using remote sensing (RS) and geographical information systems (GIS) dealing with one of these environmental challenges such as monitoring and mapping soil salinity and prediction of soil properties, monitoring and mapping of land degradation, spatiotemporal land use/cover, agricultural drought monitoring, hydrological applications such as spatial rainfall distribution, surface runoff, geo-morphometric analysis, flood hazard assessment and mapping, hydrologic and hydraulic modeling, pollution hazard assessment, and climate-related geophysical processes. This book also assesses the impacts of climate change on natural resources using both RS and GIS, as well as other applications, covering different parts of Libya. This book is beneficial for graduate students, researchers, policy planners, and stakeholders in Libya as well as other countries that share similar environmental issues. Also, the methodologies followed in the book's chapters can be applied to any other regions around the world with similar landscapes and climatic conditions.

In a world experiencing increasingly intense hydrometeorological events driven by climate change, the need for effective solutions is paramount. Modeling and Monitoring Extreme Hydrometeorological Events presents a cutting-edge exploration of the challenges posed by flash droughts and floods, offering innovative methodologies and tools to address these global issues. Through a combination of computer modeling, remote sensing, artificial intelligence, and case studies, this book provides a comprehensive framework for understanding and mitigating the impacts of extreme hydrometeorological events. It examines the rapid emergence of flash droughts, which bring devastating consequences to agriculture, water resources, ecosystems, and public health. The book also delves into the complex dynamics of flash floods, exploring their causes, impacts, and potential solutions. With a focus on water management, the book addresses knowledge gaps, provides adaptation and mitigation strategies, and emphasizes the importance of climate change considerations. It aims to empower scientists, policymakers, professionals, and educators to develop effective policies and decision-making frameworks to combat the increasing risks posed by extreme hydrometeorological events. Written by a diverse team of experts in hydrology, hydrometeorology, emergency management, civil engineering, and related fields, this book offers valuable insights and practical tools for researchers, professors, graduate students, policymakers, and professionals.

This report presents a comprehensive land cover map of Tunisia, highlighting cultivated land, olive trees, dates and orchards while integrating information on land water management practices. [Author] A land cover map was derived using Sentinel-2 satellite imagery and stratified with water management data from currently existing data. [Author] Statistics illustrating the area of each class regionally and nationally were produced to provide accurate information on land cover classes distribution. [Author] Land cover information is essential to understanding the diverse range of ecosystems and agricultural land in Tunisia, particularly when looking to address climactic and socioeconomic challenges in the country. [Author] An accurate representation of agricultural land use is imperative when developing strategies for natural resource management and sustainable agricultural practices. [Author] Land cover mapping within the SolaWISe initiative facilities access to essential information on soil, land water and crop management, thus informing decision-making processes for enhancing agricultural productivity and sustainability. [Author] This land cover map provides a robust foundation for developing insights into natural resource management and agricultural practices across Tunisia. [Author] It empowers stakeholders at national, regional and local levels to make informed decisions for sustainable crop production in the context of a changing climate. [Author] There is no information on water management practices in the south of Tunisia; producing these datasets would significantly improve our understanding of crop management systems and agricultural water productivity. [Author] In the future land cover maps can be expanded to include more intricate irrigation and crop type information, allowing stakeholders to develop a more intricate understanding of spatial variation in crop suitability and productivity. [Author]

GIS for Sustainable Development examines how GIS applications can improve collaboration in decision making among those involved in promoting sustainable development. This volume reviews leading GIScience, providing an overview of research topics and applications that enable GIS newcomers and professionals to apply GIScience methods to susta