Yangyi (34 results)

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Hardcover. Condition: new. Hardcover. The geographic environment, shaped by climate, landforms, hydrological processes, and anthropogenic influences, demands integrated approaches to capture its spatiotemporal heterogeneity and interconnected dynamics. Recent innovations-spanning remote sensing, geospatial big data, sensor networks, and multidisciplinary modeling-now enable multidimensional, multiscale observations across extended temporal and spatial ranges. These technologies facilitate the integration of data from global to microscale levels, enhancing our understanding of geographic processes and their implications for sustainable development. The following Topic compiles 44 peer-reviewed articles that exemplify cutting-edge methodologies and applications in this field. Studies employ diverse techniques, from satellite- and drone-based remote sensing to hybrid data fusion and machine learning, demonstrating the interdisciplinary nature of geographic environmental research. Key findings highlight the value of multiscale data integration in unraveling complex patterns. By integrating Earth system science with societal needs, this research trajectory aims to strengthen resilience to environmental risks and advance the United Nations Sustainable Development Goals (SDGs). This Topic underscores the transformative potential of multi-scale monitoring in deciphering geographic complexity, offering a foundation for interdisciplinary innovation and holistic environmental stewardship in an era of rapid global change. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …

Hardcover. Condition: new. Hardcover. The geographic environment, shaped by climate, landforms, hydrological processes, and anthropogenic influences, demands integrated approaches to capture its spatiotemporal heterogeneity and interconnected dynamics. Recent innovations-spanning remote sensing, geospatial big data, sensor networks, and multidisciplinary modeling-now enable multidimensional, multiscale observations across extended temporal and spatial ranges. These technologies facilitate the integration of data from global to microscale levels, enhancing our understanding of geographic processes and their implications for sustainable development. The following Topic compiles 44 peer-reviewed articles that exemplify cutting-edge methodologies and applications in this field. Studies employ diverse techniques, from satellite- and drone-based remote sensing to hybrid data fusion and machine learning, demonstrating the interdisciplinary nature of geographic environmental research. Key findings highlight the value of multiscale data integration in unraveling complex patterns. By integrating Earth system science with societal needs, this research trajectory aims to strengthen resilience to environmental risks and advance the United Nations Sustainable Development Goals (SDGs). This Topic underscores the transformative potential of multi-scale monitoring in deciphering geographic complexity, offering a foundation for interdisciplinary innovation and holistic environmental stewardship in an era of rapid global change. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …

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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This reprint focuses on applying remote sensing techniques in watersheds in terms of hydrology, ecology, environment, and human activities. It aims to contribute to the current understanding of integrating research scopes and developing advanced methods in the field of remote sensing of watershed.The development of the multiscalar, multidimensional, and interdisciplinary nature of the application of remote sensing in watershed studies is of particular interest. Special attention is given to watershed mapping, monitoring of underlying surface elements in the watershed, inversion of water cycle parameters, water resource assessment, acquisition of watershed ecological environment parameters, monitoring natural disasters, analyzing upstream and downstream, supporting water governance priorities, water resource development, and irrigation water management. The studies propose a series of advanced data, models, and strategies to serve watershed research better.…