Mapping Eucalyptus plantation in Guangxi, China by using knowledge-based algorithms and PALSAR-2, Sentinel-2, and Landsat images in 2020
文献类型：期刊论文
| 作者 | Zhang, Chenchen8; Xiao, Xiangming1,8; Zhao, Liangcheng7; Qin, Yuanwei8; Doughty, Russell6; Wang, Xinxin4,5; Dong, Jinwei2; Yang, Xuebin3 |
| 刊名 | INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
 |
| 出版日期 | 2023-06-01 |
| 卷号 | 120页码:14 |
| ISSN号 | 1569-8432 |
| 关键词 | Forest mapping EVI Red edge bands Google Earth Engine |
| DOI | 10.1016/j.jag.2023.103348 |
| 通讯作者 | Xiao, Xiangming(xiangming.xiao@ou.edu) |
| 英文摘要 | Eucalyptus plantations promote the economic development of forestry in southern China, but many studies have reported their negative environmental impacts, such as high water resource usage of certain species of Eucalyptus plants and losses in biodiversity. To date, annual maps of Eucalyptus plantations at large scales with high spatial resolutions are not yet available. Here, we investigated the spectral properties of Eucalyptus plantations and developed a knowledge-based Eucalyptus plantation mapping algorithm. We produced annual maps of Eucalyptus plantation at 10-m spatial resolution in the Guangxi Zhuang Autonomous Region (Guangxi), China, using our proposed algorithm and images of ALOS PALSAR-2, Sentinel-2, and Landsat (ETM+/OLI) in a single year. First, we generated annual evergreen forest maps using PALSAR-2 and Landsat/Sentinel-2-based vegetation index time series data. Second, we distinguished Eucalyptus plantations from the evergreen forest layer using the unique biophysical features of Eucalyptus plantations, the Sentinel-2 red edge bands, and Landsat/Sentinel-2based enhanced vegetation index (EVI). Our resultant 2020 Eucalyptus plantation map had high producer's, user's, and overall accuracies of 0.85, 0.89, and 0.96, respectively. There were 3.10 x 106 ha of Eucalyptus plantation in Guangxi in 2020. Among the 14 administrative units, Wuzhou City had the largest Eucalyptus plantation area in Guangxi, followed by Nanning, Baise, and Chongzuo cities. We demonstrated the potential of knowledge-based mapping approaches for identifying evergreen forest and Eucalyptus plantations in complex and fragmented landscapes where cloud cover is frequent. Our 10-m Eucalyptus plantation map is the most current dataset available and can be used to assist the sustainable production of Eucalyptus, ecological assessments, and conservation. |
| WOS关键词 | GROSS PRIMARY PRODUCTION ; PADDY RICE AGRICULTURE ; RED-EDGE BANDS ; RUBBER PLANTATIONS ; EVERGREEN FORESTS ; SOUTHEAST-ASIA ; ALOS PALSAR ; MODIS ; CROP ; MAP |
| 资助项目 | U.S. National Science Foundation[1911955] ; U.S. National Science Foundation[1946093] ; University of Oklahoma Libraries' Open Access Fund |
| WOS研究方向 | Remote Sensing |
| 语种 | 英语 |
| 出版者 | ELSEVIER |
| WOS记录号 | WOS:000999326100001 |
| 资助机构 | U.S. National Science Foundation ; University of Oklahoma Libraries' Open Access Fund |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/197493]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Xiao, Xiangming |
| 作者单位 | 1.Univ Oklahoma, Dept Microbiol & Plant Biol, 101 David L Boren Blvd, Norman, OK 73019 USA 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 3.Syracuse Univ, Geog & Environm Dept, Syracuse, NY 13244 USA 4.Fudan Univ, Inst Ecochongming, Sch Life Sci, Shanghai 200438, Peoples R China 5.Fudan Univ, Inst Biodivers Sci, Sch Life Sci, Minist Educ,Key Lab Biodivers Sci & Ecol Engn,Natl, Shanghai 200438, Peoples R China 6.Univ Oklahoma, Coll Atmospher & Geog Sci, Norman, OK 73019 USA 7.Beijing Forestry Univ, Sch Ecol & Nat Conservat, Beijing 100083, Peoples R China 8.Univ Oklahoma, Ctr Earth Observat & Modeling, Dept Microbiol & Plant Biol, Norman, OK 73019 USA |
| 推荐引用方式 GB/T 7714 | Zhang, Chenchen,Xiao, Xiangming,Zhao, Liangcheng,et al. Mapping Eucalyptus plantation in Guangxi, China by using knowledge-based algorithms and PALSAR-2, Sentinel-2, and Landsat images in 2020[J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,2023,120:14. |
| APA | Zhang, Chenchen.,Xiao, Xiangming.,Zhao, Liangcheng.,Qin, Yuanwei.,Doughty, Russell.,...&Yang, Xuebin.(2023).Mapping Eucalyptus plantation in Guangxi, China by using knowledge-based algorithms and PALSAR-2, Sentinel-2, and Landsat images in 2020.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,120,14. |
| MLA | Zhang, Chenchen,et al."Mapping Eucalyptus plantation in Guangxi, China by using knowledge-based algorithms and PALSAR-2, Sentinel-2, and Landsat images in 2020".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 120(2023):14. |
入库方式： OAI收割
来源：地理科学与资源研究所
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