Theoretical Model for Estimating the Scaling Error of the Two-Band Ratio of Red to Near-Infrared in Inhomogeneous Pixels: Simulation Using a Moving Window

doi:10.1109/JSTARS.2011.2150200

	Theoretical Model for Estimating the Scaling Error of the Two-Band Ratio of Red to Near-Infrared in Inhomogeneous Pixels: Simulation Using a Moving Window
	Chen, Jun 1,2; Lu, Kai 1,2; Fu, Jun 3
刊名	IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
	2011-12
卷号	4 期号:4 页码:877-881
关键词	Remote sensing scaling error two-band ratio of red to near-infrared 3 x 3 moving window algorithm
ISSN号	1939-1404
DOI	10.1109/JSTARS.2011.2150200
英文摘要	This study develops a theoretical model to estimate the scaling error of the two-band ratio of red to near-infrared (TBRRN) in an inhomogeneous pixel. Three different imageries and a 3 x 3 moving window are used to verify and approximately estimate the scaling error of the TBRRN for remote-sensing imageries. The datasets are Landsat Thematic Mapper (Landsat/TM) imagery taken on 15 October 2005, satellite probatoire d'Observation de la terre (SPOT) imagery taken on 7 September 2005, and moderate-resolution imaging spectroradiometer (MODIS) imagery taken on 5 October 2005 of the Yellow River Estuary. It is found that 1) about 15.70%, 17.24% and 26.52% of SPOT, Landsat/TM and MODIS pixels have relative scaling error higher than 2% respectively, 2) the average relative scaling error increases with increasing scale of the image pixel, and 3) it is difficult to achieve the goal of the National Aeronautics and Space Administration of obtaining valid ocean-color data of the world's oceans for estimating the chlorophyll-a concentration with uncertainty of less than 35% if the scaling error cannot be effectively reduced. Our results suggest the need for an in-depth study of scaling errors in water-color remote sensing.
资助项目	China National Great Geological Survey[GZH200900504]
WOS关键词	CHLOROPHYLL-A ; ATMOSPHERIC CORRECTION ; MEDITERRANEAN SEA ; REMOTE ESTIMATION ; WATERS ; VALIDATION ; IMAGERY ; LAKE ; VARIABILITY ; ABSORPTION
WOS研究方向	Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000298054500018
内容类型	期刊论文
源URL	[http://ir.fio.com.cn:8080/handle/2SI8HI0U/26204]
专题	自然资源部第一海洋研究所
通讯作者	Chen, Jun
作者单位	1.Key Lab Marine Hydrocarbon Resources & Environm G, Qingdao, Peoples R China 2.Qingdao Inst Marine Geol, Qingdao, Shandong, Peoples R China 3.SOA, Inst Oceanog 1, Qingdao, Shandong, Peoples R China
推荐引用方式 GB/T 7714	Chen, Jun,Lu, Kai,Fu, Jun. Theoretical Model for Estimating the Scaling Error of the Two-Band Ratio of Red to Near-Infrared in Inhomogeneous Pixels: Simulation Using a Moving Window[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2011,4(4):877-881.
APA	Chen, Jun,Lu, Kai,&Fu, Jun.(2011).Theoretical Model for Estimating the Scaling Error of the Two-Band Ratio of Red to Near-Infrared in Inhomogeneous Pixels: Simulation Using a Moving Window.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,4(4),877-881.
MLA	Chen, Jun,et al."Theoretical Model for Estimating the Scaling Error of the Two-Band Ratio of Red to Near-Infrared in Inhomogeneous Pixels: Simulation Using a Moving Window".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 4.4(2011):877-881.