A Robust Inversion Algorithm for Surface Leaf and Soil Temperatures   Using the Vegetation Clumping Index

doi:10.3390/rs9080780

CORC > 北京大学 > 地球与空间科学学院

	A Robust Inversion Algorithm for Surface Leaf and Soil Temperatures Using the Vegetation Clumping Index
	Bian, Zunjian ; Cao, Biao ; Li, Hua ; Du, Yongming ; Song, Lisheng ; Fan, Wenjie ; Xiao, Qing ; Liu, Qinhuo
刊名	REMOTE SENSING
	2017
关键词	land surface component temperature directional remote sensing vegetation clumping index DIRECTIONAL BRIGHTNESS TEMPERATURE THERMAL INFRARED OBSERVATIONS COMPONENT TEMPERATURES ENERGY FLUXES CANOPY EMISSIVITY RETRIEVAL MODEL CROP REFLECTANCE
DOI	10.3390/rs9080780
英文摘要	The inversion of land surface component temperatures is an essential source of information for mapping heat fluxes and the angular normalization of thermal infrared (TIR) observations. Leaf and soil temperatures can be retrieved using multiple-view-angle TIR observations. In a satellite-scale pixel, the clumping effect of vegetation is usually present, but it is not completely considered during the inversion process. Therefore, we introduced a simple inversion procedure that uses gap frequency with a clumping index (GCI) for leaf and soil temperatures over both crop and forest canopies. Simulated datasets corresponding to turbid vegetation, regularly planted crops and randomly distributed forest were generated using a radiosity model and were used to test the proposed inversion algorithm. The results indicated that the GCI algorithm performed well for both crop and forest canopies, with root mean squared errors of less than 1.0 degrees C against simulated values. The proposed inversion algorithm was also validated using measured datasets over orchard, maize and wheat canopies. Similar results were achieved, demonstrating that using the clumping index can improve inversion results. In all evaluations, we recommend using the GCI algorithm as a foundation for future satellite-based applications due to its straightforward form and robust performance for both crop and forest canopies using the vegetation clumping index.; SCI(E); ARTICLE; 8; 9
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/471691]
专题	地球与空间科学学院
推荐引用方式 GB/T 7714	Bian, Zunjian,Cao, Biao,Li, Hua,et al. A Robust Inversion Algorithm for Surface Leaf and Soil Temperatures Using the Vegetation Clumping Index[J]. REMOTE SENSING,2017.
APA	Bian, Zunjian.,Cao, Biao.,Li, Hua.,Du, Yongming.,Song, Lisheng.,...&Liu, Qinhuo.(2017).A Robust Inversion Algorithm for Surface Leaf and Soil Temperatures Using the Vegetation Clumping Index.REMOTE SENSING.
MLA	Bian, Zunjian,et al."A Robust Inversion Algorithm for Surface Leaf and Soil Temperatures Using the Vegetation Clumping Index".REMOTE SENSING (2017).