A novel Landsat-based automated mapping of marsh wetland in the headwaters of the Brahmaputra, Ganges and Indus Rivers, southwestern Tibetan Plateau

doi:10.1016/j.jag.2021.102481

	A novel Landsat-based automated mapping of marsh wetland in the headwaters of the Brahmaputra, Ganges and Indus Rivers, southwestern Tibetan Plateau
	Liu, Qionghuan 2,3,4; Zhang, Yili 2,3; Liu, Linshan 2; Wang, Zhaofeng 2,3; Nie, Yong 1; Rai, Mohan 2,3
刊名	INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
	2021-12-01
卷号	103 页码:16
关键词	Wetland mapping Random forest Feature optimization Google Earth Engine Tibetan Plateau
ISSN号	1569-8432
DOI	10.1016/j.jag.2021.102481
通讯作者	Liu, Linshan(liuls@igsnrr.ac.cn)
英文摘要	Wetlands not only affect the local hydrology and ecosystems, but also regulate the conditions of humanenvironment. However, the availability of accurate wetland data remains a key challenge in wetland research. This study attempts to address this problem through a novel mapping framework that is based on the Google Earth Engine (GEE), feature optimization, and the random forest (RF) model (GFORF). This framework was built to map high-accuracy wetland data on the headwaters of the Brahmaputra, Ganges, and Indus rivers (HBGIR) in the western Tibetan Plateau (TP). Four time periods were examined: 1990, 2000, 2010, and 2017. Our results showed that the overall accuracy for the acquired wetland data was 82.73%, 83.16%, 82.47%, and 88.14% in 1990, 2000, 2010, and 2017, respectively. Furthermore, the feature optimization results showed that the spectral indices feature was the main contributor to the accuracy of wetland mapping, with the highest value being 26.9%. The seasonal factors, surface reflectance, auxiliary data, and texture contributed 21.8%, 21.6%, 21.5%, and 8.1%, respectively. Combining the seasonal features and auxiliary data of distances to rivers significantly improved the mapping accuracy of the wetlands by approximately 14%, 24%, 11%, and 10% in 1990, 2000, 2010, and 2017, respectively. In addition, our analysis showed that the wetland areas in the HBGIR amounted to 5177.39 km2, accounting for 5.82% of the total area. Over the 30-year observation period, the overall consolidation of the wetlands was characterized by a slight expansionary phase, with an average increase of 0.16% per year from 1990 to 2017. As a result of the improvement in the accuracy of wetland mapping in alpine areas, the change dynamics of wetlands was revealed, which provides justification for implementing ongoing wetland ecological services and protection measures.
资助项目	Strategic Priority Research Program of the Chinese Academy of Sciences[XDA20040201] ; Second Tibetan Plateau Scientific Expedition and Research[2019QZKK0603] ; National Natural Science Foundation of China[41761144081]
WOS关键词	COVER CLASSIFICATION ; SURFACE-WATER ; LONG-TERM ; CHINA ; VEGETATION
WOS研究方向	Remote Sensing
语种	英语
出版者	ELSEVIER
WOS记录号	WOS:000696987000001
资助机构	Strategic Priority Research Program of the Chinese Academy of Sciences ; Second Tibetan Plateau Scientific Expedition and Research ; National Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/165661]
专题	中国科学院地理科学与资源研究所
通讯作者	Liu, Linshan
作者单位	1.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Shenzhen Univ, Res Inst Smart Cities, Sch Architecture & Urban Planning, Shenzhen 518060, Peoples R China
推荐引用方式 GB/T 7714	Liu, Qionghuan,Zhang, Yili,Liu, Linshan,et al. A novel Landsat-based automated mapping of marsh wetland in the headwaters of the Brahmaputra, Ganges and Indus Rivers, southwestern Tibetan Plateau[J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,2021,103:16.
APA	Liu, Qionghuan,Zhang, Yili,Liu, Linshan,Wang, Zhaofeng,Nie, Yong,&Rai, Mohan.(2021).A novel Landsat-based automated mapping of marsh wetland in the headwaters of the Brahmaputra, Ganges and Indus Rivers, southwestern Tibetan Plateau.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,103,16.
MLA	Liu, Qionghuan,et al."A novel Landsat-based automated mapping of marsh wetland in the headwaters of the Brahmaputra, Ganges and Indus Rivers, southwestern Tibetan Plateau".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 103(2021):16.