Earth Resources: A continuing bibliography with indexes, Issue 35

This bibliography list 587 reports, articles, and other documents introduced into the NASA Scientific and Technical Information System between July 1, and September 30, 1982. Emphasis is placed on the use of remote sensing and geophysical instrumentation in spacecraft and aircraft to survey and inventory natural resources and urban areas. Subject matter is grouped according to agriculture and forestry, environmental changes and cultural resources, geodesy and cartography, geology and mineral resources, hydrology and water management, data processing and distribution systems, instrumentation and sensors, and economic analysis

Earth Resources: A continuing bibliography with indexes, issue 1

This bibliography lists 616 reports, articles, and other documents introduced into the NASA scientific and technical information system between January 1974 and March 1974. Emphasis is placed on the use of remote sensing and geophysical instrumentation in spacecraft and aircraft to survey and inventory, natural resources and urban areas. Subject matter is grouped according to agriculture and forestry, environmental changes and cultural resources, geodesy and cartography, geology and mineral resources, oceanography and marine resources, hydrology and water management, data processing and distribution systems, instrumentation and sensors, and economic analysis

Advances in Remote Sensing-based Disaster Monitoring and Assessment

Remote sensing data and techniques have been widely used for disaster monitoring and assessment. In particular, recent advances in sensor technologies and artificial intelligence-based modeling are very promising for disaster monitoring and readying responses aimed at reducing the damage caused by disasters. This book contains eleven scientific papers that have studied novel approaches applied to a range of natural disasters such as forest fire, urban land subsidence, flood, and tropical cyclones

Flood dynamics derived from video remote sensing

Flooding is by far the most pervasive natural hazard, with the human impacts of floods expected to worsen in the coming decades due to climate change. Hydraulic models are a key tool for understanding flood dynamics and play a pivotal role in unravelling the processes that occur during a flood event, including inundation flow patterns and velocities. In the realm of river basin dynamics, video remote sensing is emerging as a transformative tool that can offer insights into flow dynamics and thus, together with other remotely sensed data, has the potential to be deployed to estimate discharge. Moreover, the integration of video remote sensing data with hydraulic models offers a pivotal opportunity to enhance the predictive capacity of these models. Hydraulic models are traditionally built with accurate terrain, flow and bathymetric data and are often calibrated and validated using observed data to obtain meaningful and actionable model predictions. Data for accurately calibrating and validating hydraulic models are not always available, leaving the assessment of the predictive capabilities of some models deployed in flood risk management in question. Recent advances in remote sensing have heralded the availability of vast video datasets of high resolution. The parallel evolution of computing capabilities, coupled with advancements in artificial intelligence are enabling the processing of data at unprecedented scales and complexities, allowing us to glean meaningful insights into datasets that can be integrated with hydraulic models. The aims of the research presented in this thesis were twofold. The first aim was to evaluate and explore the potential applications of video from air- and space-borne platforms to comprehensively calibrate and validate two-dimensional hydraulic models. The second aim was to estimate river discharge using satellite video combined with high resolution topographic data. In the first of three empirical chapters, non-intrusive image velocimetry techniques were employed to estimate river surface velocities in a rural catchment. For the first time, a 2D hydraulicvmodel was fully calibrated and validated using velocities derived from Unpiloted Aerial Vehicle (UAV) image velocimetry approaches. This highlighted the value of these data in mitigating the limitations associated with traditional data sources used in parameterizing two-dimensional hydraulic models. This finding inspired the subsequent chapter where river surface velocities, derived using Large Scale Particle Image Velocimetry (LSPIV), and flood extents, derived using deep neural network-based segmentation, were extracted from satellite video and used to rigorously assess the skill of a two-dimensional hydraulic model. Harnessing the ability of deep neural networks to learn complex features and deliver accurate and contextually informed flood segmentation, the potential value of satellite video for validating two dimensional hydraulic model simulations is exhibited. In the final empirical chapter, the convergence of satellite video imagery and high-resolution topographical data bridges the gap between visual observations and quantitative measurements by enabling the direct extraction of velocities from video imagery, which is used to estimate river discharge. Overall, this thesis demonstrates the significant potential of emerging video-based remote sensing datasets and offers approaches for integrating these data into hydraulic modelling and discharge estimation practice. The incorporation of LSPIV techniques into flood modelling workflows signifies a methodological progression, especially in areas lacking robust data collection infrastructure. Satellite video remote sensing heralds a major step forward in our ability to observe river dynamics in real time, with potentially significant implications in the domain of flood modelling science

Geographic Information Science (GIScience) and Geospatial Approaches for the Analysis of Historical Visual Sources and Cartographic Material

This book focuses on the use of GIScience in conjunction with historical visual sources to resolve past scenarios. The themes, knowledge gained and methodologies conducted might be of interest to a variety of scholars from the social science and humanities disciplines

Ecosystem Service and Land-Use Changes in Asia

This book highlights the role of research in Ecosystem Services and Land Use Changes in Asia. The contributions include case studies that explore the impacts of direct and indirect drivers affecting provision of ecosystem services in Asian countries, including China, India, Mongolia, Sri Lanka, and Vietnam. Findings from these empirical studies contribute to developing sustainability in Asia at both local and regional scales

Étude des bassins fluviaux en Inde par télédétection

La télédétection est considérée comme un outil important pour étudier l'hydrologie continentale. Elle est utilisée pour estimer les variations de niveau d'eau dans les rivières, les lacs et les plaines inondables, la cartographie des inondations et des zones humides et le suivi de la variation spatio-temporelle des masses d'eau régionale à l'échelle mondiale. L'objectif de cette thèse est d'analyser l'observation de différents types de missions satellitaires: l'altimétrie radar, l'imagerie et la gravimétrie. L'altimétrie satellitaire est couramment utilisée pour l'estimation des niveaux d'eau dans les lacs, les rivières, et les zones inondées. L'altimétrie, combinée à des données in situ permet de calculer les débits des rivières, et combinées à de l'imagerie permet de déterminer des variations de volume d'eau dans les zones inondées ou les lacs. Dans cette thèse, l'altimétrie a été utilisée sur les grands fleuves indiens, et a en particulier permis de calculer les débits dans le delta du Gange et du Brahmapoutre dans la baie du Bengale. Par ailleurs nous avons analysé la dynamique des inondations dans le bassin du Gange et plus précisément dans le nord de l'état de Bihar le long de la rivière Kosi (affluent du Gange) en utilisant des données d'imagerie et d'altimétrie combinées. Enfin les observations de la mission gravimétrique GRACE ont également été utilisées pour étudier la variation de stock d'eau dans les bassins du Gange, du Brahmapoutre, de la Krishna, et de la Godavari.Remote sensing is considered as an important tool to study continental hydrology. Remote sensing observations are used for estimating water level variations in rivers, lakes and flood plains, for mapping of inundation and wetlands and monitoring the spatio-temporal variation of water masses on regional (i.e. at basins scale) to global scale. The objective of this thesis is to analyze observations from various types of satellite missions: radar altimetry, satellite imagery and satellite gravimetry. Satellite Altimetry is used for water stage estimation over inland water bodies. The derived water stage can be used for river discharge estimation, and deriving the river slopes. Altimetry observation combined with satellite imagery is used for determination of surface water volume in flooded zones. In this thesis, altimetry observations are used to derive the water stages in major Indian rivers. Discharge of Ganga and Brahmaputra rivers into Bay of Bengal is also derived. Satellite imagery is used to analyze the flooding in Ganga basin. Altimetry derived result and MODIS imagery are used together in North Bihar in Ganga basin to study the flood dynamics of Kosi. GRACE observations are also used to study the variation of total water storage in the Ganga river basin