Name: Application of Spatial Information Science and Cartography in the Big Remotely Sensed Data Era (en Inglés)
SKU: 69068284
Price: 289.42 PEN
Availability: InStock
Author: Xi Chen;Mingqiang Guo;Chatzipavlis Antonis
ISBN: 9783725888511

portada Application of Spatial Information Science and Cartography in the Big Remotely Sensed Data Era (en Inglés)

Application of Spatial Information Science and Cartography in the Big Remotely Sensed Data Era (en Inglés)

Formato

Libro Físico

Editorial

Mdpi AG

Autor

Xi Chen;Mingqiang Guo;Chatzipavlis Antonis

Idioma

Inglés

N° páginas

206

Encuadernación

Tapa Dura

ISBN13

9783725888511

Application of Spatial Information Science and Cartography in the Big Remotely Sensed Data Era (en Inglés)

Xi Chen;Mingqiang Guo;Chatzipavlis Antonis (Autor) · Mdpi AG · Tapa Dura

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Reseña del libro "Application of Spatial Information Science and Cartography in the Big Remotely Sensed Data Era (en Inglés)"

The era of big remotely sensed data has transformed our understanding of the Earth's surface. Integrating spatial information science and cartography is crucial for leveraging the vast data generated by remote sensing technologies. Spatial information science involves techniques for collecting, analyzing, and interpreting spatial data, while cartography focuses on designing and creating visual representations. Together, they enable precise analyses of environmental, social, and economic phenomena. This Reprint explores advancements in spatial information science and cartography, emphasizing their importance in urban planning, disaster management, environmental monitoring, and resource management. This Reprint aims to share innovative approaches and case studies on applying spatial information science and cartography in the big remotely sensed data era, and to enhance spatial data utilization for better decision-making and problem-solving processes. The contributions in this Reprint aim to promote interdisciplinary research and the development of new tools and techniques for accurate, efficient spatial analyses and cartographic representations in large-scale data contexts.