Collaborative Extraction of Paddy Planting Areas with Multi-Source Information Based on Google Earth Engine: A Case Study of Cambodia
文献类型：期刊论文
| 作者 | Kang, Junmei4; Yang, Xiaomei1,2,3; Wang, Zhihua2,3; Huang, Chong2,3; Wang, Jun4 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2022-04-01 |
| 卷号 | 14期号:8页码:20 |
| 关键词 | GEE multi-source information paddy extraction Sentinel-1 2 Cambodia |
| DOI | 10.3390/rs14081823 |
| 通讯作者 | Wang, Zhihua(zhwang@lreis.ac.cn) |
| 英文摘要 | High-precision spatial mapping of paddy planting areas is very important for food security risk assessment and agricultural monitoring. Previous studies have mainly been based on multi-source satellite imagery, the fusion of Synthetic Aperture Radar (SAR) with optical data, and the combined use of multi-scale and multi-source sensors. However, there have been few studies on paddy spatial mapping using collaborative multi-source remote sensing product information, especially in tropical regions such as Southeast Asia. Therefore, based on the Google Earth Engine (GEE) platform, in this study, Cambodia, which is dominated by agriculture, was taken as the study area, and an extraction scheme for paddy planting areas was developed from collaborative multi-source information, including multi-source remote sensing images (Sentinel-1 and Sentinel-2), multi-source remote sensing land cover products (GFSAD30SEACE, GLC_FCS30-2015, FROM_GLC2015, SERVIR MEKONG, and GUF), paddy phenology information, and topographic features. Evaluation and analysis of the extraction results and the SERVIR MEKONG and ESACCI-LC paddy products revealed that the accuracy of the paddy planting areas extracted using the proposed method is the highest, with an overall accuracy of 89.90%. The results of the proposed method are better than those of the other products in terms of the outline of the paddy planting areas and the description of the road information. The results of this study provide a reference for future high-precision paddy mapping. |
| WOS关键词 | MULTITEMPORAL SENTINEL-1A ; LANDCOVER CLASSIFICATION ; TEXTURE ANALYSIS ; RICE ; COVER ; LAND ; CLOUD ; TM ; INTEGRATION ; FORESTS |
| 资助项目 | CAS Earth Big Data Science Project[XDA19060303] ; National Science Foundation of China[41901354] ; Innovation Project of LREIS[O88RAA01YA] |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000787399900001 |
| 出版者 | MDPI |
| 资助机构 | CAS Earth Big Data Science Project ; National Science Foundation of China ; Innovation Project of LREIS |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/175488]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wang, Zhihua |
| 作者单位 | 1.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 4.China Earthquake Adm, Monitoring & Applicat Ctr 2, Xian 710054, Peoples R China |
| 推荐引用方式 GB/T 7714 | Kang, Junmei,Yang, Xiaomei,Wang, Zhihua,et al. Collaborative Extraction of Paddy Planting Areas with Multi-Source Information Based on Google Earth Engine: A Case Study of Cambodia[J]. REMOTE SENSING,2022,14(8):20. |
| APA | Kang, Junmei,Yang, Xiaomei,Wang, Zhihua,Huang, Chong,&Wang, Jun.(2022).Collaborative Extraction of Paddy Planting Areas with Multi-Source Information Based on Google Earth Engine: A Case Study of Cambodia.REMOTE SENSING,14(8),20. |
| MLA | Kang, Junmei,et al."Collaborative Extraction of Paddy Planting Areas with Multi-Source Information Based on Google Earth Engine: A Case Study of Cambodia".REMOTE SENSING 14.8(2022):20. |
入库方式： OAI收割
来源：地理科学与资源研究所
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