Mapping bamboo forest and expansion intensity in China by coupling vegetation phenology and C-band SAR with Sentinel-1 and Sentinel-2 images
文献类型：期刊论文
| 作者 | Li, Saibo1,2; He, Shaoyang2,3; Yue, Tianxiang1,2,4,5; Du, Zhengping1; Zhao, Na1,2,5; Zhao, Yapeng1,2; Jiao, Yimeng1,2; Fan, Bin1,2; Liu, Yi6; Xu, Zhe1 |
| 刊名 | INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
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| 出版日期 | 2023-07-01 |
| 卷号 | 121页码:16 |
| ISSN号 | 1569-8432 |
| 关键词 | Bamboo forest Expansion intensity Vegetation phenology SAR Google Earth Engine |
| DOI | 10.1016/j.jag.2023.103384 |
| 通讯作者 | Yue, Tianxiang(yue@lreis.ac.cn) |
| 英文摘要 | Bamboo forest has undergone dramatic expansion due to climate changes and human activities, and its direct effects on both carbon storage and biodiversity of the forest ecosystem have occurred in tropical and subtropical regions, especially in China. However, the uncertainty in tracking bamboo forest extent and expansion intensity substantially influenced our assessment of them due to the poor resolution and persistent cloud covers in optical images (e.g., Landsat and Sentinel-2). We developed a straightforward and superior algorithm by coupling vegetation phenology and cloud-free SAR using Sentinel-1 and -2 images to identify bamboo forest at large scales and higher spatial resolution. Specifically, (1) this study analyzed the spectral and phenological characteristics during the bamboo forest growth season; (2) the optimum parameter sets for the SAR backscatter were calibrated against field data by using the genetic algorithm; (3) and then we generated bamboo forest and expansion intensity maps at 10 m spatial resolution for seven study regions in China in 2020. The results showed that the Kappa of the maps was 0.89, and the OA was 94.7% in all study areas, compared with the field data. The accuracy among each study area also performed well in mapping bamboo forest, indicated by Kappa varying from 0.82 to 0.94, and OA ranging from 91.1% to 97.33%. Compared to the national forestry inventory map, our results showed a significant positive linear relationship, with a higher R-2 (0.96, p < 0.001). With the highresolution results, we found that the tree was most severely affected by bamboo forest, followed by grassland, sparse vegetation, and shrubland. This product can be a key input for many carbon cycles, climate, and vegetation models. |
| WOS关键词 | GENETIC ALGORITHMS ; TIME-SERIES ; RETRIEVAL ; MODIS ; LAI ; HETEROGENEITY ; PARAMETERS ; ETHIOPIA ; BIOMASS ; MODELS |
| 资助项目 | National Natural Science Foundation of China[41930647] ; Science Fund for Creative Research Groups of the National Natural Science Foundation of China[72221002] ; Shandong Provincial Natural Science Foundation[ZR2020QD015] |
| WOS研究方向 | Remote Sensing |
| 语种 | 英语 |
| 出版者 | ELSEVIER |
| WOS记录号 | WOS:001147967000001 |
| 资助机构 | National Natural Science Foundation of China ; Science Fund for Creative Research Groups of the National Natural Science Foundation of China ; Shandong Provincial Natural Science Foundation |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/202439]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Yue, Tianxiang |
| 作者单位 | 1.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100190, Peoples R China 3.Chinese Acad Sci, Key Lab Water Cycle & Related Land Surface Proc, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 4.Jiangxi Agr Univ, Coll Land Resources & Environm, Nanchang 330045, Peoples R China 5.Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing 210023, Peoples R China 6.Yanqi Lake Beijing Inst Math Sci & Applicat, Beijing 101408, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Saibo,He, Shaoyang,Yue, Tianxiang,et al. Mapping bamboo forest and expansion intensity in China by coupling vegetation phenology and C-band SAR with Sentinel-1 and Sentinel-2 images[J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,2023,121:16. |
| APA | Li, Saibo.,He, Shaoyang.,Yue, Tianxiang.,Du, Zhengping.,Zhao, Na.,...&Yang, Yang.(2023).Mapping bamboo forest and expansion intensity in China by coupling vegetation phenology and C-band SAR with Sentinel-1 and Sentinel-2 images.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,121,16. |
| MLA | Li, Saibo,et al."Mapping bamboo forest and expansion intensity in China by coupling vegetation phenology and C-band SAR with Sentinel-1 and Sentinel-2 images".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 121(2023):16. |
入库方式： OAI收割
来源：地理科学与资源研究所
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