Applying Earth Observation Data for Urban Land-Use Change Mapping

The Special Issue “Applying Earth Observation Data for Urban Land-Use Change Mapping” focuses on the science of Earth observation data, aiming to process, analyze, and monitor the development and impact of urbanized areas from social, economic, environmental, and other land-related perspectives. Thi...

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格式: Online
語言:英语
出版: MDPI - Multidisciplinary Digital Publishing Institute 2025
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collection Directory of Open Access Books
description The Special Issue “Applying Earth Observation Data for Urban Land-Use Change Mapping” focuses on the science of Earth observation data, aiming to process, analyze, and monitor the development and impact of urbanized areas from social, economic, environmental, and other land-related perspectives. This Special Issue particularly favors the use of artificial intelligence and machine learning algorithms for processing spatial big data and correlating it with in situ measurements. The articles in this Special Issue present theoretical and practical approaches to urban processes and are a collection of applied and review articles. Interdisciplinary manuscripts are also particularly welcome.
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id doab-20.500.12854ir-165425
institution Directory of Open Access Books
language eng
publishDate 2025
publishDateRange 2025
publishDateSort 2025
publisher MDPI - Multidisciplinary Digital Publishing Institute
publisherStr MDPI - Multidisciplinary Digital Publishing Institute
record_format ojs
spelling doab-20.500.12854ir-1654252025-08-12T09:30:07Z Applying Earth Observation Data for Urban Land-Use Change Mapping Sužiedelytė-Visockienė, Jūratė photogrammetry imagery land cover land classification urban land user changes. thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general The Special Issue “Applying Earth Observation Data for Urban Land-Use Change Mapping” focuses on the science of Earth observation data, aiming to process, analyze, and monitor the development and impact of urbanized areas from social, economic, environmental, and other land-related perspectives. This Special Issue particularly favors the use of artificial intelligence and machine learning algorithms for processing spatial big data and correlating it with in situ measurements. The articles in this Special Issue present theoretical and practical approaches to urban processes and are a collection of applied and review articles. Interdisciplinary manuscripts are also particularly welcome. 2025-08-12T09:30:05Z 2025-08-12T09:30:05Z 2025 book ONIX_20250812T110751_9783725837854_180 9783725837854 9783725837861 https://directory.doabooks.org/handle/20.500.12854/165425 eng image/jpeg Attribution 4.0 International https://mdpi.com/books https://mdpi.com/books/pdfview/book/10731 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-3786-1 10.3390/books978-3-7258-3786-1 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725837854 9783725837861 224 open access
spellingShingle photogrammetry
imagery
land cover
land classification
urban land user changes.
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
Applying Earth Observation Data for Urban Land-Use Change Mapping
title Applying Earth Observation Data for Urban Land-Use Change Mapping
title_full Applying Earth Observation Data for Urban Land-Use Change Mapping
title_fullStr Applying Earth Observation Data for Urban Land-Use Change Mapping
title_full_unstemmed Applying Earth Observation Data for Urban Land-Use Change Mapping
title_short Applying Earth Observation Data for Urban Land-Use Change Mapping
title_sort applying earth observation data for urban land use change mapping
topic photogrammetry
imagery
land cover
land classification
urban land user changes.
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
topic_facet photogrammetry
imagery
land cover
land classification
urban land user changes.
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
url ONIX_20250812T110751_9783725837854_180