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Mapping of Land Cover Over Highly Heterogeneous Areas in Yunnan Province With Active and Passive Remotely Sensed Data

文献类型：期刊论文

作者Zhang, Tao8; Tang, Bo-Hui1,2,3; Zhao, Zhifang4,5,6,7
刊名IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
出版日期2024
卷号62页码:16
关键词Land surface Accuracy Spatial resolution Remote sensing Feature extraction Clouds Sentinel-1 Predictive models Meters Environmental management Google Earth Engine land cover (LC) classification tile-based classification time series training sample generation
ISSN号0196-2892
DOI10.1109/TGRS.2024.3465590
产权排序4
英文摘要Yunnan Province is one of the global biodiversity conservation hotspots. Due to the fragmented terrain and spatial heterogeneity of the plateau, land cover (LC) mapping in this region has always been challenging. In this study, we integrated 1593 scenes of Sentinel-1 and 8320 scenes of Sentinel-2 (S2) imagery, proposed a sample data generation strategy based on domain information rules, and developed a two-step feature optimization method. We also constructed a tile-based classification model to mitigate the impact of spatial heterogeneity in plateau regions. By comparing the performance of 45 different combinations of predictive variables, we analyzed the effectiveness of high-dimensional predictive variable optimization. We evaluated the impact of predictive variable sets, sensor types, classifier algorithms, and sample thresholds on LC mapping. The results indicate that: 1) the two-step feature optimization method can improve the classification accuracy of machine learning (ML). With optimal features, the model's overall accuracy (OA) reached 92.21%, an increase of 0.64%-8.16% compared to using raw features alone; 2) the near-infrared band is a highly effective spectral predictor and slope significantly impacts the spatial distribution of LC in Yunnan Province; and 3) changes in sample thresholds affect the stability of prediction models and fivefold cross validation shows that under the optimal sample threshold scenario, prediction accuracy improves by 0.95%-2.76%; and 4) the tile-based classification model reduces the errors compared to traditional global models, mitigating heterogeneity effects. This study provides a new approach for classification in heterogeneous plateau regions and offers valuable data support for biodiversity conservation efforts.
WOS关键词GOOGLE EARTH ENGINE ; TIME-SERIES ; CLASSIFICATION ; IMAGERY
资助项目National Natural Science Foundation of China[42161067] ; Platform Construction Project of High Level Talent in Kunming University of Science and Technology (KUST)
WOS研究方向Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:001329087800007
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Natural Science Foundation of China ; Platform Construction Project of High Level Talent in Kunming University of Science and Technology (KUST)
源URL[http://ir.igsnrr.ac.cn/handle/311030/209907]  
专题资源与环境信息系统国家重点实验室_外文论文
通讯作者Tang, Bo-Hui; Zhao, Zhifang
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
2.Kunming Univ Sci & Technol, Fac Land Resource Engn, Kunming 650093, Peoples R China
3.Yunnan Prov Dept Educ, Key Lab Plateau Remote Sensing, Kunming 650093, Peoples R China
4.Yunnan Prov Key Lab Sanjiang Metallogeny & Resourc, Kunming 650500, Peoples R China
5.Engn Res Ctr Domest High Resolut Satellite Remote, Kunming 650500, Peoples R China
6.Yunnan Int Joint Lab China Laos Bangladesh Myanmar, Kunming 650500, Peoples R China
7.Yunnan Univ, Sch Earth Sci, Kunming 650500, Peoples R China
8.Yunnan Univ, Inst Int Rivers & Ecosecur, Kunming 650500, Peoples R China
推荐引用方式
GB/T 7714		 Zhang, Tao,Tang, Bo-Hui,Zhao, Zhifang. Mapping of Land Cover Over Highly Heterogeneous Areas in Yunnan Province With Active and Passive Remotely Sensed Data[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2024,62:16.
APA Zhang, Tao,Tang, Bo-Hui,&Zhao, Zhifang.(2024).Mapping of Land Cover Over Highly Heterogeneous Areas in Yunnan Province With Active and Passive Remotely Sensed Data.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,62,16.
MLA Zhang, Tao,et al."Mapping of Land Cover Over Highly Heterogeneous Areas in Yunnan Province With Active and Passive Remotely Sensed Data".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 62(2024):16.

入库方式： OAI收割

来源：地理科学与资源研究所

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