With advances in remote sensing, the data available for hydrological simulation and monitoring has grown richer and more diverse, supporting hydrological studies at point, hillslope and watershed scales. Modern hydrology focuses on large-scale water cycles and couplings between the hydrosphere and other spheres. Multispectral and high-resolution remote sensing data combined with in situ monitoring data form hydrological big data, bringing new challenges to data processing and water cycle research, as well as new opportunities to develop hydrological theories and methods. This Reprint collects recent advances in hydrological process identification, hydrological big data analysis and hydrological simulation. Relevant contributions include, but are not limited to, remote sensing-based hydrological process identification, dynamic water resources monitoring, remote sensing-based water environment monitoring, hydrological big data analysis, and big-data-driven hydrological process simulation.
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Hardcover. Etat : new. Hardcover. With advances in remote sensing, the data available for hydrological simulation and monitoring has grown richer and more diverse, supporting hydrological studies at point, hillslope and watershed scales. Modern hydrology focuses on large-scale water cycles and couplings between the hydrosphere and other spheres. Multispectral and high-resolution remote sensing data combined with in situ monitoring data form hydrological big data, bringing new challenges to data processing and water cycle research, as well as new opportunities to develop hydrological theories and methods. This Reprint collects recent advances in hydrological process identification, hydrological big data analysis and hydrological simulation. Relevant contributions include, but are not limited to, remote sensing-based hydrological process identification, dynamic water resources monitoring, remote sensing-based water environment monitoring, hydrological big data analysis, and big-data-driven hydrological process simulation. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9783725888436
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Hardcover. Etat : new. Hardcover. With advances in remote sensing, the data available for hydrological simulation and monitoring has grown richer and more diverse, supporting hydrological studies at point, hillslope and watershed scales. Modern hydrology focuses on large-scale water cycles and couplings between the hydrosphere and other spheres. Multispectral and high-resolution remote sensing data combined with in situ monitoring data form hydrological big data, bringing new challenges to data processing and water cycle research, as well as new opportunities to develop hydrological theories and methods. This Reprint collects recent advances in hydrological process identification, hydrological big data analysis and hydrological simulation. Relevant contributions include, but are not limited to, remote sensing-based hydrological process identification, dynamic water resources monitoring, remote sensing-based water environment monitoring, hydrological big data analysis, and big-data-driven hydrological process simulation. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9783725888436
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Hardcover. Etat : new. Hardcover. With advances in remote sensing, the data available for hydrological simulation and monitoring has grown richer and more diverse, supporting hydrological studies at point, hillslope and watershed scales. Modern hydrology focuses on large-scale water cycles and couplings between the hydrosphere and other spheres. Multispectral and high-resolution remote sensing data combined with in situ monitoring data form hydrological big data, bringing new challenges to data processing and water cycle research, as well as new opportunities to develop hydrological theories and methods. This Reprint collects recent advances in hydrological process identification, hydrological big data analysis and hydrological simulation. Relevant contributions include, but are not limited to, remote sensing-based hydrological process identification, dynamic water resources monitoring, remote sensing-based water environment monitoring, hydrological big data analysis, and big-data-driven hydrological process simulation. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9783725888436
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - With advances in remote sensing, the data available for hydrological simulation and monitoring has grown richer and more diverse, supporting hydrological studies at point, hillslope and watershed scales. Modern hydrology focuses on large-scale water cycles and couplings between the hydrosphere and other spheres. Multispectral and high-resolution remote sensing data combined with in situ monitoring data form hydrological big data, bringing new challenges to data processing and water cycle research, as well as new opportunities to develop hydrological theories and methods. This Reprint collects recent advances in hydrological process identification, hydrological big data analysis and hydrological simulation. Relevant contributions include, but are not limited to, remote sensing-based hydrological process identification, dynamic water resources monitoring, remote sensing-based water environment monitoring, hydrological big data analysis, and big-data-driven hydrological process simulation. N° de réf. du vendeur 9783725888436
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Vendeur : preigu, Osnabrück, Allemagne
Buch. Etat : Neu. Advances in Hydrological Remote Sensing | Buch | Englisch | 2026 | MDPI AG | EAN 9783725888436 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 136945234
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