Title
Characterization of MSS Channel Reflectance and Derived Spectral Indices for Building Consistent Landsat 1–5 Data Record
Abstract
The Landsat 1-5 multispectral scanner system (MSS) collected records of land surface mainly during 1972-1992. Investigations on MSS have been relatively limited compared with the numerous investigations on its successors, such as Thematic Mapper (TM) and Enhanced TM Plus (ETM+). The benefits of the Landsat program are not fully accomplished without the inclusion of MSS archives. Investigations on the Landsat 1-5 MSS channel reflectance characteristics wereperformed followed by derived vegetation spectral indices and the Tasseled Cap (TC) transformed features mainly using a collection of synthesized records. On average, the Landsat 4 MSS is generally comparable to the Landsat 5 MSS. The Landsat 1-3 MSSs show disagreement in channel reflectance compared with the Landsat 5 MSS, especially for the red channel (600-700 nm) and the near-infrared channel (700-800 nm). Meanwhile, the relative differences for vegetation spectral indices of the Landsat 3 MSS are mainly from -16% to -5% with the median about -11.5%, while those of the Landsat 2 MSS are mainly from -15% to -7%. Cross-validation tests and two case applications suggested that between-sensor consistency was improved generally through the transformation models generated by ordinary least-squares regression. To improve the consistency of the vegetation indices and the TC greenness, direct strategy employing respective transformation models was more effective than calculations based on the transformed channel reflectance. Considering the shortages of the Landsat MSS archives, further efforts are needed to improve its comparability with observations by other successive Landsat sensors.
Year
DOI
Venue
2020
10.1109/TGRS.2020.2992609
IEEE Transactions on Geoscience and Remote Sensing
Keywords
DocType
Volume
Consistency,Landsat,multispectral scanner system (MSS),spectral response function (SRF),transformation,vegetation indices
Journal
58
Issue
ISSN
Citations 
12
0196-2892
0
PageRank 
References 
Authors
0.34
0
10
Name
Order
Citations
PageRank
Feng Chen1183.72
Qiancong Fan201.69
Shenlong Lou301.69
Limin Yang400.34
Chenxing Wang523.73
Martin Claverie600.34
Cheng Wang721832.63
Jose Marcato Junior801.35
Wesley Nunes Gonçalves91211.51
Jonathan Li10798119.18