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Remote Sensing Applications in Dryland Natural Resource Management
Arid and semi-arid areas are now facing a threefold holistic crisis: economic, food, and climate. What has emerged from these crises is the vital importance of inter-linkages among them on the one hand, and the missed opportunities in putting these pieces together on the other. This book has tried to explore these challenges though in-depth discussions of the individual. It is anticipated to inspire a forward looking debate that looks at the lessons from the past and points to actions for the future. Expertise views have been shared scientists and persons of eminence on the national and state level challenges with futuristic remedial approaches.
Remote Sensing Handbook, Volume II
Volume II of the Six Volume Remote Sensing Handbook, Second Edition, is focused on digital image processing including image classification methods in land cover and land use. It discusses object-based segmentation and pixel-based image processing algorithms, change detection techniques, and image classification for a wide array of applications including land use/land cover, croplands, urban studies, processing hyperspectral remote sensing data, thermal imagery, light detection and ranging (LiDAR), geoprocessing workflows, frontiers of GIScience, and future pathways. This thoroughly revised and updated volume draws on the expertise of a diverse array of leading international authorities in re...
Remote Sensing Handbook, Volume I
Volume I of the Remote Sensing Handbook, Second Edition, is focused on satellites and sensors including Radar, LiDAR, Microwave, Hyperspectral, UAVs and their applications. It integrates discussions of remote sensing principles, data, methods, development, applications, and scientific and social context.
Remote Sensing Applications for Agriculture and Crop Modelling
Crop models and remote sensing techniques have been combined and applied in agriculture and crop estimation on local and regional scales, or worldwide, based on the simultaneous development of crop models and remote sensing. The literature shows that many new remote sensing sensors and valuable methods have been developed for the retrieval of canopy state variables and soil properties from remote sensing data for assimilating the retrieved variables into crop models. At the same time, remote sensing has been used in a staggering number of applications for agriculture. This book sets the context for remote sensing and modelling for agricultural systems as a mean to minimize the environmental ...
GNSS Applications in Earth and Space Observations
Global Navigation Satellite Systems (GNSSs) have become an essential technology used in navigation, positioning, and timing applications in meteorology, environmental monitoring, disaster management, and space exploration. This comprehensive book explores the various applications of GNSS technology in different fields of Earth and Space observations and provides researchers, professionals, and students valuable insights into these emerging trends. It discusses the challenges that impact the performance of GNSS technology and offers solutions through several case studies on Space weather and climate disasters, opening a different dimension of approaches in various paradigms of GNSS technology...
Molecular biology and biotechnology
This book is divided into 11 chapters to facilitate a logical progression of material and to enable straightforward access to topics by providing the appropriate background and theoretical support. Chapter 1 introduces the concept of molecular biology. It also tells about the concept of cell and human genome project. Chapter 2 discuss about the basics of biotechnology. It is the controlled use of biological agents, such as microorganisms or cellular components. This chapter describes the Biotechnological Applications in Medicine. Chapter 3 Basic Molecular Biology Techniques like Enzymes Used in Molecular Biology, Isolation and Separation of Nucleic Acids, Restriction Mapping of DNA Fragments...
Advances in Environmental Remote Sensing
Generating a satisfactory classification image from remote sensing data is not a straightforward task. Many factors contribute to this difficulty including the characteristics of a study area, availability of suitable remote sensing data, ancillary and ground reference data, proper use of variables and classification algorithms, and the analyst's e
Handbook of Himalayan Ecosystems and Sustainability, Volume 1
Volume 1: Spatio-Temporal Monitoring of Forests and Climate is aimed to describe the recent progress and developments of geospatial technologies (remote sensing and GIS) for assessing, monitoring and managing fragile Himalayan ecosystems and their sustainability under climate change. It is a collective research contribution from renowned researchers and academicians working in the Hindu Kush Himalayan (HKH) mountain range. The Himalayas ecosystems have been facing substantial transformation due to severe environmental conditions, land transformation, forest degradation and fragmentation. The authors utilized satellite datasets and algorithms to discuss the intricacy of land use/land cover ch...
