Assessment of impervious surface changes from multi-temporal landsat data and machine learning techniques: A case study in Ho Chi Minh city
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Thông tin tài liệu:
Impervious surface is an artificial surface that prevents water from seeping into the ground. Impervious surface is not only an indicator of the level of urbanization but also a key indicator of the quality of the urban environment. This article presents the results of an impervious surface classification in Ho Chi Minh City area from multi-temporal Landsat image data.
Nội dung trích xuất từ tài liệu:
Assessment of impervious surface changes from multi-temporal landsat data and machine learning techniques: A case study in Ho Chi Minh city
Nội dung trích xuất từ tài liệu:
Assessment of impervious surface changes from multi-temporal landsat data and machine learning techniques: A case study in Ho Chi Minh city
Tìm kiếm theo từ khóa liên quan:
Impervious surface Remote sensing Machine learning Multi-temporal Landsat image data Urban environmentGợi ý tài liệu liên quan:
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