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Hyperspectral Remote Sensing: Theory and Applications offers the latest information on the techniques, advances and wide-ranging applications of hyperspectral remote sensing, such as forestry, agriculture, water resources, soil and geology, among others. The book also presents hyperspectral data integration with other sources, such as LiDAR, Multi-spectral data, and other remote sensing techniques. Researchers who use this resource will be able to understand and implement the technology and data in their respective fields. As such, it is a valuable reference for researchers and data analysts in remote sensing and Earth Observation fields and those in ecology, agriculture, hydrology and geology. Includes the theory of hyperspectral remote sensing, along with techniques and applications across a variety of disciplines Presents the processing, methods and techniques utilized for hyperspectral remote sensing and in-situ data collection Provides an overview of the state-of-the-art, including algorithms, techniques and case studies.

Remote sensing. --- Hyperspectral imaging. --- Geology --- Land use --- Natural resources --- National resources --- Resources, Natural --- Resource-based communities --- Resource curse --- Land --- Land utilization --- Use of land --- Utilization of land --- Economics --- Land cover --- Landscape assessment --- NIMBY syndrome --- Imaging, Hyperspectral --- Spectral imaging --- Remote-sensing imagery --- Remote sensing systems --- Remote terrain sensing --- Sensing, Remote --- Terrain sensing, Remote --- Aerial photogrammetry --- Aerospace telemetry --- Detectors --- Space optics --- Economic aspects

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The objective of this publication is to provide insight into advancing remote sensing techniques dealing with floods, droughts, landslides, earthquakes, permafrost-related hazards, glacial lake outburst floods, forest fires, droughts, tropical cyclones, climate resilience and COVID-19. This publication will incorporate the latest technologies and techniques to illustrate disaster monitoring for acquiring information and dissemination of technological results and outcomes for the betterment of society. This publication would be of immense importance for earth scientists, policymakers and professionals working in the field of disaster risk reduction. .

Natural disasters. --- Geographic information systems. --- Earth sciences. --- Geomorphology. --- Environmental geography. --- Natural Hazards. --- Geographical Information System. --- Earth Sciences. --- Integrated Geography. --- Emergency management. --- Natural disasters --- Remote sensing.

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"Natural resource management using RS technology relies on the process of dealing with or controlling natural resources for better and effective way in order to successfully implement the outcome for societal benefit. These include planning, organizing, staffing, leading and controlling along with proper monitoring. Whereas the term 'monitoring' identifies the set of practices or actions that aims at the observation on the progress or quality of natural resources over a period of time or keep under systematic evaluation using RS technology via either field surveys or airborne or space-borne datasets (NCRI 2020). Therefore, it is an actions that aims at observation of different phenomenon, or a variable which characterizes the different ecosystem, to follow its regular development and/or to highlight the occurrence of critical or alarming conditions (NCRI 2020). Therefore, natural resource monitoring, in particular, is linked to its management which is carried out on the basis of information derived from the earth observation data on their conditions. Natural resource monitoring and management using RS technology ascertain to deliver proper and accurate information to the users about their condition and development. Thus, reliable information on the accurate field inventory along with periodic monitoring of the natural resources using RS technology will help and speed up and enable management and decision makers to implement the policies accordingly. Even information will be used to keep an eye on the optimal utilization of natural resources or any future disasters so as to take timely interventions"--

Natural resources --- Management.