Owing to the restrictions in weather conditions and revisit cycle of satellites, single satellite can't successively acquire effective optical RS data for long-term monitoring the terrestrial environments. Therefore, it is crucial important to analyze the multi-spectral information of multi-source RS data. In this study, two groups of clear RS images (GF-1 and Landsat-8, GF-1 and Sentinel-2A), in along with ground survey data, were respectively acquired on identical date. Four bands, blue, green, red and near infrared (NIR), were selected to compare their spectral characteristics. At the same time, conversion equation for reflectance of four corresponding spectral bands was derived respectively via statistical regression method. The result shows that each pair of bands in the two comparing groups has a strong correlation. And, these conversion equations can effectively converse spectral information in between each band of two comparing groups with a better precision. This study provides a useful technological approach for the identical date information integration and syngeneic application of multi-spectral RS data from the same day, as well as quantitatively monitoring the long-term dynamics in environments and resources at regional scale.
YANG Tian-peng
,
YAN Wen-jia
,
ZHANG Yuan
. Conversion study on multi-spectral information of remote sensing images GF-1 WFV, Landsat-8 OLI and Sentinel-2A MSI[J]. Journal of East China Normal University(Natural Science), 2017
, 2017(6)
: 136
-146
.
DOI: 10.3969/j.issn.1000-5641.2017.06.013
[1] 徐涵秋, 刘智才, 郭燕滨. GF-1 PMS与ZY-3 MUX传感器NDVI数据的对比分析[J]. 农业工程学报, 2016(8):148-154.
[2] VAN LEEWEN W J D, ORR B J, MARSH S E, et al. Multi-sensor NDVI data continuity:Uncertainties and implications for vegetation monitoring applications[J]. Remote Sensing of Environment, 2006, 100(1):67-81.
[3] 贾玉秋, 李冰, 程永政, 等.基于GF-1与Landsat-8多光谱遥感影像的玉米LAI反演比较[J].农业工程学报, 2015(9):173-179.
[4] 苏涛, 冯绍元, 徐英. IRS-P6 LISS-3和Landsat-5 TM两种多光谱传感器影像数据的对比分析[J]. 遥感技术与应用, 2012, 27(6):887-895.
[5] ROY D P, WULDER M A, LOVELAND T R, et al. Landsat-8:Science and product vision for terrestrial global change research[J]. Remote Sensing of Environment, 2014, 145:154-172.
[6] DRUSCH M, DELBELLO U, CARLIER S, et al. Sentinel-2:ESA's optical high-resolution mission for GMES operational services[J]. Remote Sensing of Environment, 2012, 120:25-36.
[7] 白照广. 高分一号卫星的技术特点[J]. 中国航天, 2013(8):5-9.
[8] STOREY J, ROY D P, MASEK J, et al. A note on the temporary misregistration of Landsat-8 Operational Land Imager (OLI) and Sentinel-2 Multi Spectral Instrument (MSI) imagery[J]. Remote Sensing of Environment, 2016, 186:121-122.
[9] CHANDER G, MARKHAM B L, HELDER D L. Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors[J]. Remote Sensing of Environment, 2009, 113(5):893-903.
[10] PAHLEVAN N, LEE Z P, WEI J W, et al. On-orbit radiometric characterization of OLI (Landsat-8) for applications in aquatic remote sensing[J]. Remote Sensing of Environment, 2014, 154:272-284.
[11] ESA. Sentinel-2_User_Handbook[EB/OL]. (2015-07-24)[2017-09-18]. https://sentinel.esa.int/documents/247904/685211/Sentinel-2_User_Handbook.
[12] ESA. STEP[EB/OL].[2017-09-18]. http://step.esa.int/main/third-party-plugins-2/sen2cor/.
[13] 徐建华. 计量地理学[M]. 北京:高等教育出版社, 2014.
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