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Dynamic monitoring of desertification in Naiman Banner based on feature space models with typical surface parameters derived from LANDSAT images

文献类型：期刊论文

作者Guo, Bing1,2,5,6,7; Zang, Wenqian4; Han, Baomin6; Yang, Fei3; Luo, Wei8; He, Tianli6; Fan, Yewen5; Yang, Xiao6; Chen, Shuting6
刊名LAND DEGRADATION & DEVELOPMENT
出版日期2020-02-20
页码20
关键词albedo-NDVI point-to-point model desertification feature space Naiman Banner spatial pattern
ISSN号1085-3278
DOI10.1002/ldr.3533
通讯作者Zang, Wenqian()
英文摘要Naiman Banner is one of the most typical semi-arid vulnerable ecological zones that is characterized by vegetation degradation and severe desertification. Previous studies mostly utilized a single feature space or only the linear correlation model to monitor desertification. In this study, the optimal monitoring model that fully considers the multiple feature spaces and the nonlinear relationship between surface parameters in Naiman Banner was determined, and then the spatial-temporal evolution patterns of the desertification from 1989 to 2017 were analyzed. The results showed that: (a) The albedo-normalized difference vegetation index point-to-point model was applicable to areas with high-vegetation coverage, whereas the albedo-modified soil-adjusted vegetation index (MSAVI) linear model had better applicability in areas with relatively low vegetation coverage. Considering the surface cover, the desertification monitoring index based on albedo-MSAVI linear model had the best applicability. (b) During 1989-2017, the total desertification area percentage of Naiman County decreased from 90.85% in 1989 to 63.35% in 2017, showing a significant downward trend. (c) During the past 30 years, the desertification process was significantly influenced by human activities, such as 'Three-North' Shelterbelt, Returning Farmland to Forestry, and Returning Farmland to Grassland (d) The desertification levels of unused land and grassland with low coverage was relatively high, whereas the desertification degree of cultivated and forest lands was low. These results can be used as an effective reference for the remote sensing monitoring and evaluation of desertification and can provide data and decision support for the ecological restoration of the region.
资助项目Open Fund of Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University[KLGIS2017A02] ; Key Laboratory of Geomatics and Digital Technology of Shandong Province ; State Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University[17I04] ; Open Research Fund of Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences[2019LDE006] ; Special Support for Strategic Leading Science and Technology of Chinese Academy of Sciences[XDA2002040203] ; Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University[KLGIS2017A02] ; Project of Shandong Province Higher Educational Science and Technology Program[J18KA181] ; Natural Science Foundation of Shandong Province[ZR2018BD001] ; Chinese Academy of Sciences[2019LDE006]
WOS研究方向Environmental Sciences & Ecology ; Agriculture
语种英语
WOS记录号WOS:000514619100001
出版者WILEY
资助机构Open Fund of Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University ; Key Laboratory of Geomatics and Digital Technology of Shandong Province ; State Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University ; Open Research Fund of Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences ; Special Support for Strategic Leading Science and Technology of Chinese Academy of Sciences ; Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University ; Project of Shandong Province Higher Educational Science and Technology Program ; Natural Science Foundation of Shandong Province ; Chinese Academy of Sciences
源URL[http://ir.igsnrr.ac.cn/handle/311030/132517]  
专题中国科学院地理科学与资源研究所
通讯作者Zang, Wenqian
作者单位1.Chinese Acad Sci, Key Lab Digital Earth Sci Inst Remote Sensing & D, Beijing, Peoples R China
2.Key Lab Geomat & Digital Technol Shandong Prov, Qingdao, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China
4.Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100101, Peoples R China
5.Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan, Peoples R China
6.Shandong Univ Technol, Sch Civil Architectural Engn, Zibo, Shandong, Peoples R China
7.East China Normal Univ, Minist Educ, Key Lab Geog Informat Sci, Shanghai, Peoples R China
8.North China Inst Aerosp Engn, Collaborat Innovat Ctr Aerosp Remote Sensing Info, Langfang, Peoples R China
推荐引用方式
GB/T 7714		 Guo, Bing,Zang, Wenqian,Han, Baomin,et al. Dynamic monitoring of desertification in Naiman Banner based on feature space models with typical surface parameters derived from LANDSAT images[J]. LAND DEGRADATION & DEVELOPMENT,2020:20.
APA Guo, Bing.,Zang, Wenqian.,Han, Baomin.,Yang, Fei.,Luo, Wei.,...&Chen, Shuting.(2020).Dynamic monitoring of desertification in Naiman Banner based on feature space models with typical surface parameters derived from LANDSAT images.LAND DEGRADATION & DEVELOPMENT,20.
MLA Guo, Bing,et al."Dynamic monitoring of desertification in Naiman Banner based on feature space models with typical surface parameters derived from LANDSAT images".LAND DEGRADATION & DEVELOPMENT (2020):20.

入库方式： OAI收割

来源：地理科学与资源研究所

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