Improved Topographic Normalization for Landsat TM Images by Introducing the MODIS Surface BRDF

	Improved Topographic Normalization for Landsat TM Images by Introducing the MODIS Surface BRDF
	Zhang, Yanli 1; Li, Xin 1; Wen, Jianguang 1; Liu, Qinhuo 1; Yan, Guangjian 1
刊名	REMOTE SENSING
	2015
卷号	7 期号:6 页码:13761-13775
通讯作者	Li, X (reprint author), Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Key Lab Remote Sensing Gansu Prov, Lanzhou 730000, Peoples R China.
英文摘要	In rugged terrain, the accuracy of surface reflectance estimations is compromised by atmospheric and topographic effects. We propose a new method to simultaneously eliminate atmospheric and terrain effects in Landsat Thematic Mapper (TM) images based on a 30 m digital elevation model (DEM) and Moderate Resolution Imaging Spectroradiometer (MODIS) atmospheric products. Moreover, we define a normalized factor of a Bidirectional Reflectance Distribution Function (BRDF) to convert the sloping pixel reflectance into a flat pixel reflectance by using the Ross Thick-Li Sparse BRDF model (Ambrals algorithm) and MODIS BRDF/albedo kernel coefficient products. Sole atmospheric correction and topographic normalization were performed for TM images in the upper stream of the Heihe River Basin. The results show that using MODIS atmospheric products can effectively remove atmospheric effects compared with the Fast Line-of-Sight Atmospheric Analysis of Spectral Hypercubes (FLAASH) model and the Landsat Climate Data Record (CDR). Moreover, superior topographic effect removal can be achieved by considering the surface BRDF when compared with the surface Lambertian assumption of topographic normalization.
研究领域[WOS]	Remote Sensing
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:000357589800003
内容类型	期刊论文
源URL	[http://ir.ceode.ac.cn/handle/183411/38428]
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.[Zhang, Yanli] Northwest Normal Univ, Coll Geog & Environm Sci, Lanzhou 730070, Peoples R China 2.[Zhang, Yanli 3.Li, Xin] Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Key Lab Remote Sensing Gansu Prov, Lanzhou 730000, Peoples R China 4.[Li, Xin] Chinese Acad Sci, Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China 5.[Wen, Jianguang 6.Liu, Qinhuo] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China 7.[Yan, Guangjian] Beijing Normal Univ, Sch Geog, State Key Lab Remote Sensing, Beijing 100875, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Yanli,Li, Xin,Wen, Jianguang,et al. Improved Topographic Normalization for Landsat TM Images by Introducing the MODIS Surface BRDF[J]. REMOTE SENSING,2015,7(6):13761-13775.
APA	Zhang, Yanli,Li, Xin,Wen, Jianguang,Liu, Qinhuo,&Yan, Guangjian.(2015).Improved Topographic Normalization for Landsat TM Images by Introducing the MODIS Surface BRDF.REMOTE SENSING,7(6),13761-13775.
MLA	Zhang, Yanli,et al."Improved Topographic Normalization for Landsat TM Images by Introducing the MODIS Surface BRDF".REMOTE SENSING 7.6(2015):13761-13775.