A Cost-Constrained Sampling Strategy in Support of LAI Product Validation in Mountainous Areas

	A Cost-Constrained Sampling Strategy in Support of LAI Product Validation in Mountainous Areas
	Yin, Gaofei 1; Li, Ainong 1; Zeng, Yelu 1; Xu, Baodong 1; Zhao, Wei 1; Nan, Xi 1; Jin, Huaan 1; Bian, Jinhu 1
刊名	REMOTE SENSING
	2016
卷号	8 期号:9
关键词	SPECTRAL-RESOLUTION LIDAR PHASE-CONTROL STABILIZATION
通讯作者	Li, AN (reprint author), Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China.
英文摘要	Increasing attention is being paid on leaf area index (LAI) retrieval in mountainous areas. Mountainous areas present extreme topographic variability, and are characterized by more spatial heterogeneity and inaccessibility compared with flat terrain. It is difficult to collect representative ground-truth measurements, and the validation of LAI in mountainous areas is still problematic. A cost-constrained sampling strategy (CSS) in support of LAI validation was presented in this study. To account for the influence of rugged terrain on implementation cost, a cost-objective function was incorporated to traditional conditioned Latin hypercube (CLH) sampling strategy. A case study in Hailuogou, Sichuan province, China was used to assess the efficiency of CSS. Normalized difference vegetation index (NDVI), land cover type, and slope were selected as auxiliary variables to present the variability of LAI in the study area. Results show that CSS can satisfactorily capture the variability across the site extent, while minimizing field efforts. One appealing feature of CSS is that the compromise between representativeness and implementation cost can be regulated according to actual surface heterogeneity and budget constraints, and this makes CSS flexible. Although the proposed method was only validated for the auxiliary variables rather than the LAI measurements, it serves as a starting point for establishing the locations of field plots and facilitates the preparation of field campaigns in mountainous areas.
学科主题	Remote Sensing
类目[WOS]	Remote Sensing
收录类别	SCI
语种	英语
WOS记录号	WOS:000385488000014
内容类型	期刊论文
源URL	[http://ir.radi.ac.cn/handle/183411/39435]
专题	遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位	1.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China 2.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China 3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Yin, Gaofei,Li, Ainong,Zeng, Yelu,et al. A Cost-Constrained Sampling Strategy in Support of LAI Product Validation in Mountainous Areas[J]. REMOTE SENSING,2016,8(9).
APA	Yin, Gaofei.,Li, Ainong.,Zeng, Yelu.,Xu, Baodong.,Zhao, Wei.,...&Bian, Jinhu.(2016).A Cost-Constrained Sampling Strategy in Support of LAI Product Validation in Mountainous Areas.REMOTE SENSING,8(9).
MLA	Yin, Gaofei,et al."A Cost-Constrained Sampling Strategy in Support of LAI Product Validation in Mountainous Areas".REMOTE SENSING 8.9(2016).