Integrating remote sensing temporal trajectory and survey statistics to update land use/land cover maps

文献类型： 外文期刊

第一作者： Du, Zhenrong

作者： Du, Zhenrong;Yu, Le;Li, Xiyu;Zhao, Jiyao;Du, Zhenrong;Yu, Le;Gong, Peng;Yu, Le;Chen, Xin;Xu, Yidi;Yang, Peng;Yang, Peng;Yang, Jianyu;Peng, Dailiang;Peng, Dailiang;Xue, Yueming;Gong, Peng;Gong, Peng;Yu, Le;Xue, Yueming

作者机构：

关键词： Land use; land cover; change detection; land survey; statistical constraints

期刊名称：INTERNATIONAL JOURNAL OF DIGITAL EARTH （ 影响因子：5.1； 五年影响因子：4.5 ）

ISSN： 1753-8947

年卷期： 2023 年 16 卷 2 期

页码：

收录情况： SCI

摘要： Remote sensing and land resource surveys have been used in recent decades for land use/land cover (LULC) mapping; however, keeping the developed LULC up-to-date and consistent with land survey statistics remains challenging. This study developed a practical and effective framework to automatically update existing LULC products and bridge the gap between remote sensing classification results and land survey data. This study employed Landsat imagery time series, change detection algorithms, sample migration, and random forests to develop a framework for updating existing LULC products in China from 1980-2015 to 1980-2022. The updated LULC maps reflect the post-2015 LULC changes well and maintain continuity with the pre-2015 products. Additionally, a statistical space allocation method based on the minimum cross-entropy strategy was proposed to optimize the LULC maps, increasing the correlation coefficient (r) with China's second and third national land survey statistics from 0.41-0.89 to 0.86-0.99. Thus, the framework and products developed in this study provide valuable tools for sustainable land use and policy planning.

分类号：

  • 相关文献
作者其他论文 更多>>

微信小程序