Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1109/TGRS.2019.2913106 |
Landsats 1-5 Multispectral Scanner System Sensors Radiometric Calibration Update | |
Pinto, Cibele Thixeira1; Hague, Md Obaidul2,3; Micijevic, Esad2,3; Helder, Dennis L.4 | |
通讯作者 | Pinto, Cibele Thixeira |
来源期刊 | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
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ISSN | 0196-2892 |
EISSN | 1558-0644 |
出版年 | 2019 |
卷号 | 57期号:10页码:7378-7394 |
英文摘要 | First launched in 1972, the Landsat satellite sensors have provided the longest continuous record of high-quality images of the earth's surface that are used in both civilian and military applications. The Landsat Multispectral Scanner System (MSS) sensor was onboard Landsat-1 through Landsat-5. In fact, the MSS sensors provide the only systematic global multi-spectral space-based imagery of the earth's surface from 1972 to 1982. This paper focuses on the radiometric calibration update of the Landsats 1-5 MSS sensors. The radiometric calibration was performed in both radiance- and reflectance-based scales through the cross-calibration approach. Simultaneous or near-simultaneous image collections were available for MSS sensor pairs and used for the cross-calibration. The estimated uncertainties for this calibration update exhibit progressively decreasing calibration accuracy, ranging from 5.1% for MSS-5 to 8.8% for MSS-1 in the green spectral band, for example. Finally, the new radiometric calibration coefficients were validated through the use of pseudo-invariant calibration sites (PICS). The temporal Top of the Atmosphere (TOA) radiance and TOA reflectance over the Sonoran Desert were plotted with the purpose of verifying the lifetime radiometric stability of MSS sensors. With the previous calibration, the agreement between the measurements of TOA reflectance over the Sonoran Desert was around 7.5% for all spectral bands. With the calibration update implemented in this study, the agreement between MSS sensors is 3.6%, 2.9%, 3.5%, and 5.9% for the green, red, near-infrared response (NIR-1), and NIR-2 spectral bands, respectively. This study ties all the Landsat legacy instruments from Landsat-1 MSS through Landsat-8 OLI to a consistent radiometric |
英文关键词 | Cross-calibration Landsat Multispectral Scanner System (MSS) pseudo-invariant calibration sites (PICS) radiance reflectance Thematic Mapper (TM) |
类型 | Article |
语种 | 英语 |
国家 | USA |
收录类别 | SCI-E |
WOS记录号 | WOS:000489829200007 |
WOS关键词 | CROSS-CALIBRATION ; SITES ; SBAF |
WOS类目 | Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
来源机构 | United States Geological Survey |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/216256 |
作者单位 | 1.South Dakota State Univ, Image Proc Lab, Engn Off Res, Brookings, SD 57007 USA; 2.Kellogg Brown & Root KBR Inc, Houston, TX 77002 USA; 3.US Geol Survey USGS, Earth Resources Observat & Sci EROS Ctr, Sioux Falls, SD 57198 USA; 4.South Dakota State Univ, Coll Engn, Dept Elect Engn & Comp Sci, Brookings, SD 57007 USA |
推荐引用方式 GB/T 7714 | Pinto, Cibele Thixeira,Hague, Md Obaidul,Micijevic, Esad,et al. Landsats 1-5 Multispectral Scanner System Sensors Radiometric Calibration Update[J]. United States Geological Survey,2019,57(10):7378-7394. |
APA | Pinto, Cibele Thixeira,Hague, Md Obaidul,Micijevic, Esad,&Helder, Dennis L..(2019).Landsats 1-5 Multispectral Scanner System Sensors Radiometric Calibration Update.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,57(10),7378-7394. |
MLA | Pinto, Cibele Thixeira,et al."Landsats 1-5 Multispectral Scanner System Sensors Radiometric Calibration Update".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 57.10(2019):7378-7394. |
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