The reprint of this Special Issue of Remote Sensing highlights recent advancements in the mapping of land use and land cover (LULC), emphasizing methodological innovation and scientific rigor. In response to growing challenges from climate variability, territorial dynamics, and societal transformations, the contributions aim to enhance the accuracy, consistency, and transparency of LULC assessments. It showcases cutting-edge applications of remote sensing technologies, including developments in artificial intelligence, the increasing availability of satellite data, and the integration of large geospatial databases. These tools facilitate improved observation, monitoring, and modelling of land-related processes. The articles included explore novel approaches to understanding the spatial and temporal dynamics of land systems, addressing multi-scale patterns and changes in land use and cover. This Special Issue serves as a comprehensive overview of how contemporary remote sensing techniques can inform spatial planning and environmental management, grounded in robust methodological frameworks and operational case studies across various disciplines.
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Hardcover. Etat : new. Hardcover. The reprint of this Special Issue of Remote Sensing highlights recent advancements in the mapping of land use and land cover (LULC), emphasizing methodological innovation and scientific rigor. In response to growing challenges from climate variability, territorial dynamics, and societal transformations, the contributions aim to enhance the accuracy, consistency, and transparency of LULC assessments. It showcases cutting-edge applications of remote sensing technologies, including developments in artificial intelligence, the increasing availability of satellite data, and the integration of large geospatial databases. These tools facilitate improved observation, monitoring, and modelling of land-related processes. The articles included explore novel approaches to understanding the spatial and temporal dynamics of land systems, addressing multi-scale patterns and changes in land use and cover. This Special Issue serves as a comprehensive overview of how contemporary remote sensing techniques can inform spatial planning and environmental management, grounded in robust methodological frameworks and operational case studies across various disciplines. 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 9783725859191
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Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The reprint of this Special Issue of Remote Sensing highlights recent advancements in the mapping of land use and land cover (LULC), emphasizing methodological innovation and scientific rigor. In response to growing challenges from climate variability, territorial dynamics, and societal transformations, the contributions aim to enhance the accuracy, consistency, and transparency of LULC assessments. It showcases cutting-edge applications of remote sensing technologies, including developments in artificial intelligence, the increasing availability of satellite data, and the integration of large geospatial databases. These tools facilitate improved observation, monitoring, and modelling of land-related processes. The articles included explore novel approaches to understanding the spatial and temporal dynamics of land systems, addressing multi-scale patterns and changes in land use and cover. This Special Issue serves as a comprehensive overview of how contemporary remote sensing techniques can inform spatial planning and environmental management, grounded in robust methodological frameworks and operational case studies across various disciplines. N° de réf. du vendeur 9783725859191
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Buch. Etat : Neu. Advances of Remote Sensing in Land Cover and Land Use Mapping | Buch | Englisch | 2025 | MDPI AG | EAN 9783725859191 | 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 134385552
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