干旱区生态环境知识资源中心(Arid): A dryland cover state mapping using catastrophe model in a spectral endmember space of OLI: a case study in Minqin, China

Arid

DOI	10.1080/01431161.2019.1580795
	A dryland cover state mapping using catastrophe model in a spectral endmember space of OLI: a case study in Minqin, China
	Sun, Danfeng 1,2; Zhang, Ping 1; Sun, Qiangqiang 1; Jiang, Wanbei 1
通讯作者	Sun, Danfeng
来源期刊	INTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN	0143-1161
EISSN	1366-5901
出版年	2019
卷号	40 期号:14 页码:5673-5694
英文摘要	Alternative state theory with catastrophe conceptual model is very attractive for dryland zero net land degradation (ZNLD) management, but practically challenging for mapping cover state and pathway with conventional approaches. This paper developed a methodological framework in the generic spectral endmember space (SVD, soils and substrates, vegetation, and dark surface endmembers ) of Landsat-8 OLI (operational land imager) imagery to concretize the catastrophe model of dryland cover state based on the co-development of plant and soil variables in a landscape. A cover function index (LCI) was proposed together with cover type growth form as cover variables in multi-seasonal SVD space. Furthermore, ecological site (ES) and topographic wetness index (TWI) were used as the landscape variables. The four variables as the explanatory variates, soil organic matter (SOM) as a slow response variable of dryland cover state, were explored by classification and regression trees (CART) for the state space. Using the Minqin dryland system in China as a case study, CART explored 65.9% amounts of SOM variance of 85 training samples with the four explanatory variables, and the measured SOM had liner relationship with CART predicted SOM at 0.05 significant level with the explained 39% SOM variance for 10 test samples. In the learned transparent tree, the two alternative stable states were identified correctly and validated by another soil intrinsic clay content variable independently, one was the current highest average SOM (26.757 g kg(-1)) of perennial forest/shrub covers, the other was the bared or sparse vegetation cover with low average SOM (<= 8.518 g kg(-1)) as a critical SOM limit in a given ecological site type. The mean clay content of the undesirable alternative states was all below 60 g kg(-1) with severe soil physical degradation, and had a clear breaking gap with other states. Moreover, the SOM-LCI plane projected the unstable states being folded in the basins of the attraction of two alternative stable states (i.e. 0.39-0.76 LCI) with relative resilience analysis of pathways. In the 10 test sites, only 1 site of the state was not predicted correctly. The results suggest the model has a level of predictability for dryland cover state and its pathway. According to the estimated states, there has 12.74% study area improved and continued to recovering the desirable states, and the study area has already net improvement at the landscape level. Therefore, without the comparable series of historical data for adaptive management, the developed framework in SVD of Landsat imagery is a cost-effective and time-saving tool, which helps managers to assess and develop appropriate management with a more spatially diversified strategy for zero net land degradation using a space-for-time substitution in an era of unprecedented change.
类型	Article
语种	英语
国家	Peoples R China
收录类别	SCI-E
WOS记录号	WOS:000465406100019
WOS关键词	NET LAND DEGRADATION ; REGRESSION TREES ; STABLE STATES ; REGIME SHIFTS ; DESERTIFICATION ; CLASSIFICATION ; COUNTY ; RESILIENCE ; LANDSCAPES
WOS类目	Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Remote Sensing ; Imaging Science & Photographic Technology
来源机构	中国农业大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/216503
作者单位	1.China Agr Univ, Land Resources & Management Dept, Coll Land Sci & Technol, Beijing 100193, Peoples R China; 2.Minist Agr & Rural Affairs, Key Lab Remote Sensing Agri Hazards, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Sun, Danfeng,Zhang, Ping,Sun, Qiangqiang,et al. A dryland cover state mapping using catastrophe model in a spectral endmember space of OLI: a case study in Minqin, China[J]. 中国农业大学,2019,40(14):5673-5694.
APA	Sun, Danfeng,Zhang, Ping,Sun, Qiangqiang,&Jiang, Wanbei.(2019).A dryland cover state mapping using catastrophe model in a spectral endmember space of OLI: a case study in Minqin, China.INTERNATIONAL JOURNAL OF REMOTE SENSING,40(14),5673-5694.
MLA	Sun, Danfeng,et al."A dryland cover state mapping using catastrophe model in a spectral endmember space of OLI: a case study in Minqin, China".INTERNATIONAL JOURNAL OF REMOTE SENSING 40.14(2019):5673-5694.