Combining readily available population and land cover maps to generate non-residential built-up labels to train Sentinel-2 image segmentation models
The localization of non-residential buildings over wide geographical areas is used as input within several contexts such as disaster management, regional and national planning, policy making and evaluation, among others. While the built-up environment has been continuously and globally mapped, given...
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| 主要な著者: | , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Elsevier
2024-12-01
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| シリーズ: | International Journal of Applied Earth Observations and Geoinformation |
| 主題: | |
| オンライン･アクセス: | http://www.sciencedirect.com/science/article/pii/S1569843224006289 |
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