Advances in Multi-Scale Geographic Environmental Monitoring
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...
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| Main Authors: | , , , , |
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| Formato: | Online |
| Idioma: | inglês |
| Publicado em: |
MDPI - Multidisciplinary Digital Publishing Institute
2026
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| Acesso em linha: | https://directory.doabooks.org/handle/20.500.12854/170608 |
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| _version_ | 1869521456393617408 |
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| author | Wang, Jingzhe Wu, Yangyi Zhang, Yinghui Lizaga, Ivan Zhang, Zipeng |
| author_browse | Lizaga, Ivan Wang, Jingzhe Wu, Yangyi Zhang, Yinghui Zhang, Zipeng |
| author_facet | Wang, Jingzhe Wu, Yangyi Zhang, Yinghui Lizaga, Ivan Zhang, Zipeng |
| author_sort | Wang, Jingzhe |
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-170608 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1706082026-01-02T16:16:11Z Advances in Multi-Scale Geographic Environmental Monitoring Wang, Jingzhe Wu, Yangyi Zhang, Yinghui Lizaga, Ivan Zhang, Zipeng geographic environmental elements multiscale observation spatiotemporal analysis geographic environmental simulation scale effects uncertainty analysis sustainable development goals 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. 2026-01-02T16:16:07Z 2026-01-02T16:16:07Z 2025 book 978-3-7258-4709-9 https://directory.doabooks.org/handle/20.500.12854/170608 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books https://mdpi.com/books/pdfview/topic/11335 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-4710-5 10.3390/books978-3-7258-4710-5 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 978-3-7258-4709-9 498 CH open access |
| spellingShingle | geographic environmental elements multiscale observation spatiotemporal analysis geographic environmental simulation scale effects uncertainty analysis sustainable development goals Wang, Jingzhe Wu, Yangyi Zhang, Yinghui Lizaga, Ivan Zhang, Zipeng Advances in Multi-Scale Geographic Environmental Monitoring |
| title | Advances in Multi-Scale Geographic Environmental Monitoring |
| title_full | Advances in Multi-Scale Geographic Environmental Monitoring |
| title_fullStr | Advances in Multi-Scale Geographic Environmental Monitoring |
| title_full_unstemmed | Advances in Multi-Scale Geographic Environmental Monitoring |
| title_short | Advances in Multi-Scale Geographic Environmental Monitoring |
| title_sort | advances in multi scale geographic environmental monitoring |
| topic | geographic environmental elements multiscale observation spatiotemporal analysis geographic environmental simulation scale effects uncertainty analysis sustainable development goals |
| topic_facet | geographic environmental elements multiscale observation spatiotemporal analysis geographic environmental simulation scale effects uncertainty analysis sustainable development goals |
| url | https://directory.doabooks.org/handle/20.500.12854/170608 |
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