气候变化领域集成服务门户(CCPortal): Fractional monitoring of desert vegetation degradation, recovery, and greening using optimized multi-endmembers spectral mixture analysis in a dryland basin of Northwest China

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DOI	10.1080/15481603.2021.1883940
	Fractional monitoring of desert vegetation degradation, recovery, and greening using optimized multi-endmembers spectral mixture analysis in a dryland basin of Northwest China
	Chen, Yaoliang; Huang, Xiaotao; Huang, Jingfeng; Liu, Shanshan; Lu, Dengsheng; Zhao, Shuai
通讯作者	Lu, DS (通讯作者)，Fujian Normal Univ, Key Lab Humid Subtrop Ecogeog Proc, Minist Educ, Fuzhou, Fujian, Peoples R China. ; Lu, DS (通讯作者)，Fujian Normal Univ, Sch Geog Sci, Fuzhou, Peoples R China.
发表日期	2021
ISSN	1548-1603
EISSN	1943-7226
起始页码	300
结束页码	321
卷号	58 期号:2
英文摘要	Accurate identification of desert vegetation dynamics in arid regions is challenging because of its complex composition of grass species, obscure boundary with non-desert vegetation, and high sensitiveness to climatic variations. This study examined the ability of optimized multi-endmember spectral mixture analysis (MESMA) for monitoring desert vegetation degradation, recovery, and greening in a dryland basin of Northwest China using Landsat time series data from the 1990s to 2016. Eight modeled endmember fractions were generated using the best endmember model with the lowest fraction error and root mean square error (RMSE). Abundances of non-desert vegetation, desert vegetation, soil, and impervious surface areas were incorporated based on the eight original fractions and validated using high spatial resolution images. Finally, the post-classification comparison approach was used to detect desert vegetation degradation, recovery, and greening. Results show that: (1) More than 97% of the land pixels were modeled successfully into eight endmember fractions for each period with the mean RMSE less than 0.01. All four simulated abundances had high correlations (r = 0.89-0.96) with the corresponding reference data, indicating good performance of MESMA in this study; (2) Desert vegetation increased dramatically (772.68 km(2)) during the 26-year period. The major change was desert vegetation recovery with a total area of 10,705 km(2), followed by degradation with a total area of 4,715 km(2). The greening area was the smallest, covering only 1,509 km(2); (3) Increased precipitation was the major contributor for desert vegetation greening in the west of upper region while decreased precipitation was the major contributor for the degradation in the west of lower region. Anthropogenic factors (e.g., improvement of irrigation, crop expansion) were major contributors for the change in desert vegetation in the middle region. This research demonstrates that MESMA is promising in detecting desert vegetation dynamics in semi-arid and arid regions.
英文关键词	Arid vegetation; desertification; vegetation recovery; vegetation greening; spectral decomposing; landsat imagery
语种	英语
WOS研究方向	Physical Geography ; Remote Sensing
WOS类目	Geography, Physical ; Remote Sensing
WOS记录号	WOS:000616572500001
来源期刊	GISCIENCE & REMOTE SENSING
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/255089
作者单位	[Chen, Yaoliang; Liu, Shanshan; Lu, Dengsheng; Zhao, Shuai] Fujian Normal Univ, Key Lab Humid Subtrop Ecogeog Proc, Minist Educ, Fuzhou, Fujian, Peoples R China; [Chen, Yaoliang; Liu, Shanshan; Lu, Dengsheng; Zhao, Shuai] Fujian Normal Univ, Sch Geog Sci, Fuzhou, Peoples R China; [Huang, Xiaotao] Chinese Acad Sci, Northwest Inst Plateau Biol, Key Lab Restorat Ecol Cold Reg Qinghai, Xining, Qinghai, Peoples R China; [Huang, Jingfeng] Zhejiang Univ, Coll Environm & Resource Sci, Inst Appl Remote Sensing & Informat Technol, Hangzhou, Zhejiang, Peoples R China
推荐引用方式 GB/T 7714	Chen, Yaoliang,Huang, Xiaotao,Huang, Jingfeng,et al. Fractional monitoring of desert vegetation degradation, recovery, and greening using optimized multi-endmembers spectral mixture analysis in a dryland basin of Northwest China[J]. 中国科学院西北生态环境资源研究院,2021,58(2).
APA	Chen, Yaoliang,Huang, Xiaotao,Huang, Jingfeng,Liu, Shanshan,Lu, Dengsheng,&Zhao, Shuai.(2021).Fractional monitoring of desert vegetation degradation, recovery, and greening using optimized multi-endmembers spectral mixture analysis in a dryland basin of Northwest China.GISCIENCE & REMOTE SENSING,58(2).
MLA	Chen, Yaoliang,et al."Fractional monitoring of desert vegetation degradation, recovery, and greening using optimized multi-endmembers spectral mixture analysis in a dryland basin of Northwest China".GISCIENCE & REMOTE SENSING 58.2(2021).