Land-cover products within the core urban areas of Chenzhou, Hunan in 2015, 2020 and 2024
Based on time-series remote sensing imagery, key phenological periods are selected to construct an optimized classification algorithm integrating composite features such as spectral signatures, texture, and topography for accurate identification and extraction of land cover types.
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Product Number: CBAS2026-SJGX-015
Create Institution: International Research Center of Big Data for Sustainable Development Goals(CBAS);Big Earth Data Center,CAS
Created By: Haiying Zhang
Creation Date: 2026-02-04 10:34:08
File Size: 1
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Type Of Data: 矢量
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