Normalized Difference Vegetation Index Continuity of the Landsat 4-5 MSS and TM: Investigations Based on Simulation

CORC > 生态环境研究中心 > 中国科学院生态环境研究中心 > 城市与区域生态国家重点实验室

	Normalized Difference Vegetation Index Continuity of the Landsat 4-5 MSS and TM: Investigations Based on Simulation
	Chen, Feng ; Lou, Shenlong ; Fan, Qiancong ; Wang, Chenxing ; Claverie, Martin ; Wang, Cheng ; Li, Jonathan
刊名	REMOTE SENSING
	2019-07-02
卷号	11 期号:14 页码:-
关键词	vegetation index Landsat transformation continuity spectral response function Collection 1 Hyperion
ISSN号	2072-4292
英文摘要	Landsat 4-5, built at the same time and with the same design, carrying the Multispectral Scanner System (MSS) and the Thematic Mapper (TM) simultaneously, jointly provided observation service for about 30 years (1982-2013). Considering the importance of data continuity for time series analyses, investigations on the continuity of the Landsat 4-5 MSS and TM are required. In this paper, characterization differences between the Landsat 4-5 MSS and TM were initially discussed using the synthesized reflectance records generated from a collection of Hyperion hyperspectral profiles which were well calibrated and widely distributed. The difference in near-infrared region mostly contributed to the difference in normalized difference vegetation index (NDVI) between MSS and TM, while the between-sensor difference in red spectrum was relatively minor. Models for transforming MSS NDVI to TM NDVI were proposed, and validated subsequently through cross-validation tests. Furthermore, effectiveness of the transformation models was investigated using eight synchronous observation pairs of the Landsat 5 MSS and TM. On average, the univariate models through ordinary least squares regression (OLS) regression resulted in a decrease about 10% of the median relative difference (MdRD). Meanwhile, the bivariate models improved the NDVI comparability in most cases, especially when the transformation models through ridge regression were implemented. The univariate model through OLS regression could be the only solution for cases when problems of data quality are encountered (e.g., problem in the MSS near-infrared channel (800-1000 nm)). In conclusion, the findings on NDVI transformation models from MSS to TM are valuable for reference, because of the collection of diverse Hyperion hyperspectral profiles used.
内容类型	期刊论文
源URL	[http://ir.rcees.ac.cn/handle/311016/42764]
专题	生态环境研究中心_城市与区域生态国家重点实验室
作者单位	1.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China 2.Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA 3.Univ Waterloo, Fac Environm, Dept Geog & Environm Management, Waterloo, ON N2L 3G1, Canada 4.Xiamen Univ, Sch Informat, Fujian Key Lab Sensing & Comp Smart Cities, Xiamen 361005, Peoples R China
推荐引用方式 GB/T 7714	Chen, Feng,Lou, Shenlong,Fan, Qiancong,et al. Normalized Difference Vegetation Index Continuity of the Landsat 4-5 MSS and TM: Investigations Based on Simulation[J]. REMOTE SENSING,2019,11(14):-.
APA	Chen, Feng.,Lou, Shenlong.,Fan, Qiancong.,Wang, Chenxing.,Claverie, Martin.,...&Li, Jonathan.(2019).Normalized Difference Vegetation Index Continuity of the Landsat 4-5 MSS and TM: Investigations Based on Simulation.REMOTE SENSING,11(14),-.
MLA	Chen, Feng,et al."Normalized Difference Vegetation Index Continuity of the Landsat 4-5 MSS and TM: Investigations Based on Simulation".REMOTE SENSING 11.14(2019):-.