Results 11 to 20 of about 6,314 (245)
Mapping of impervious surfaces with the use of remote sensing imagery: Support Vector Machines classification and GIS-based approach [PDF]
Archives of Civil Engineering, 2023 This study focuses on the problem of mapping impervious surfaces in urban areas and aims to use remote sensing data and orthophotos to accurately classify and map these surfaces.
Janusz Sobieraj +2 more
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Journal of Remote Sensing, 2021 Accurately monitoring the spatiotemporal dynamics of impervious surfaces is very important for understanding the process of urbanization. However, the complicated makeup and spectral heterogeneity of impervious surfaces create difficulties for impervious
Xiao Zhang +4 more
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An Impervious Surface Spectral Index on Multispectral Imagery Using Visible and Near-Infrared Bands
Remote Sensing, 2022 The accurate mapping of urban impervious surfaces from remote sensing images is crucial for understanding urban land-cover change and addressing impervious-surface-change-related environment issues. To date, the authors of most studies have built indices
Shanshan Su +5 more
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Impervious surface mapping with Quickbird imagery [PDF]
International Journal of Remote Sensing, 2011 This research selects two study areas with different urban developments, sizes, and spatial patterns to explore the suitable methods for mapping impervious surface distribution using Quickbird imagery. The selected methods include per-pixel based supervised classification, segmentation-based classification, and a hybrid method.
Dengsheng, Lu +2 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Impervious surfaces caused by rapid urbanization affect the environment and increase the disaster risk. Currently, most articles have extracted impervious surfaces by manual participation for training samples with medium-and-high spatial resolution ...
Yingbing Liu +6 more
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ISPRS International Journal of Geo-Information, 2023 The effective extraction of impervious surfaces is critical to monitor their expansion and ensure the sustainable development of cities. Open geographic data can provide a large number of training samples for machine learning methods based on remote ...
Yiliang Wan +4 more
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Improving LSMA for impervious surface estimation in an urban area
European Journal of Remote Sensing, 2022 Linear spectral mixture analysis (LSMA) and regression analysis are the two most conventionally used methods to estimate impervious surfaces at the subpixel scale in an urban area.
Jin Wang +4 more
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Atmosphere, 2023 This article examines the use of multisensor data fusion for land classification in three Moroccan cities. The method employs a Random Forest classification algorithm based on multispectral, synthetic aperture radar (SAR), and derived land surface ...
Rida Azmi +4 more
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URBAN IMPERVIOUS SURFACE EXTRACTION BASED ON REMOTE SENSING IMAGES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Urban planning and constructions affect spatial patterns of urban impervious surfaces, which in turn modify the urban environment and affect human-environment interactions. Impervious surfaces can redistribute precipitation patterns, and the perviousness–
X. Y. Long, Z. F. Shao, X. X. Feng
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Remote Sensing, 2023 Germany aims to reduce soil sealing to under 30 hectares per day by 2030 to address negative environmental impacts from the expansion of impervious surfaces. As cities adapt to climate change, spatially explicit very high-resolution information about the
Jan-Philipp Langenkamp, Andreas Rienow
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