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A novel-optimal monitoring index of rocky desertification based on feature space model and red edge indices that derived from sentinel-2 MSI image

文献类型：期刊论文

作者Guo, Bing1,2,3,4,5; Yang, Fei3; Li, Jialin2; Lu, Yuefeng2
刊名GEOMATICS NATURAL HAZARDS & RISK
出版日期2022-12-31
卷号13期号:1页码:1571-1592
关键词Rocky desertification Sentinel-2 MSI image feature space red edge indices monitoring index
ISSN号1947-5705
DOI10.1080/19475705.2022.2092038
通讯作者Guo, Bing(guobingjl@163.com) ; Yang, Fei(yangfei@igsnrr.ac.cn) ; Li, Jialin(2803517257@qq.com)
英文摘要Few studies of monitoring rocky desertification based on Sentinel-2 MSI image with higher spatial and temporal resolutions have been reported. In this paper, nine typical surface parameters that derived from Sentinel-2 MSI image including three red edge indices have been introduced to establish two types of feature space monitoring index: point-to-line type and point-to-point type. The results show that: (1) The feature of space monitoring index based on Sentinel-2 MSI image has a higher applicability in obtaining rocky desertification information for karst zones; (2) The point-to-line BSI (bare soil index)-NDre1 (red edge index 1)feature space monitoring index of rocky desertification has the best applicability with R-2=95.1% and root mean square error (RMSE)=0.872; (3) The feature space monitoring indexes that composed of red edge indices have a higher inversion accuracy, which indicates that the red edge indices are sensitive indicators of the rocky desertification condition and process;(4) The intensive and severe rocky desertification zones are mostly located in the southeast and central parts. The 3-dimensional or multidimensional feature space model will be constructed to improve the inversion accuracy of rocky desertification in further studies. The research results can provide methodological supports for revealing the rocky desertification evolution laws.
资助项目National Natural Science Foundation of China[42101306] ; Natural Science Foundation of Shandong Province ; Strategic priority research program of the Chinese Academy of Sciences[XDA2002040203] ; State Key Laboratory of Resources and Environmental Information System ; Open fund of Key Laboratory of National Geographic Census and Monitoring, MNR[2020NGCM02] ; Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources[KF-2020-05-001] ; Major Project of High Resolution Earth Observation System of China[GFZX0404130304]
WOS研究方向Geology ; Meteorology & Atmospheric Sciences ; Water Resources
语种英语
WOS记录号WOS:000816971200001
出版者TAYLOR & FRANCIS LTD
资助机构National Natural Science Foundation of China ; Natural Science Foundation of Shandong Province ; Strategic priority research program of the Chinese Academy of Sciences ; State Key Laboratory of Resources and Environmental Information System ; Open fund of Key Laboratory of National Geographic Census and Monitoring, MNR ; Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources ; Major Project of High Resolution Earth Observation System of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/180401]  
专题中国科学院地理科学与资源研究所
通讯作者Guo, Bing; Yang, Fei; Li, Jialin
作者单位1.Minist Nat Resources, Key Lab Urban Land Resources Monitoring & Simulat, Shenzhen, Peoples R China
2.Shandong Univ Technol, Sch Civil Architectural Engn, Zibo, Shandong, Peoples R China
3.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
4.Hebei Meteorol Serv, Key Lab Meteorol & Ecol Environm Hebei Prov, Shijiazhuang, Hebei, Peoples R China
5.Minist Nat Resources, Key Lab Natl Geog Census & Monitoring, Wuhan, Peoples R China
推荐引用方式
GB/T 7714		 Guo, Bing,Yang, Fei,Li, Jialin,et al. A novel-optimal monitoring index of rocky desertification based on feature space model and red edge indices that derived from sentinel-2 MSI image[J]. GEOMATICS NATURAL HAZARDS & RISK,2022,13(1):1571-1592.
APA Guo, Bing,Yang, Fei,Li, Jialin,&Lu, Yuefeng.(2022).A novel-optimal monitoring index of rocky desertification based on feature space model and red edge indices that derived from sentinel-2 MSI image.GEOMATICS NATURAL HAZARDS & RISK,13(1),1571-1592.
MLA Guo, Bing,et al."A novel-optimal monitoring index of rocky desertification based on feature space model and red edge indices that derived from sentinel-2 MSI image".GEOMATICS NATURAL HAZARDS & RISK 13.1(2022):1571-1592.

入库方式： OAI收割

来源：地理科学与资源研究所

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