Comparison of the Cross-calibration Methods between Image-based and RTM-BRDF for GF-1 Images

doi:10.11947/j.AGCS.2017.20160315

Acta Geodaetica et Cartographica Sinica ›› 2017, Vol. 46 ›› Issue (7): 882-890.doi: 10.11947/j.AGCS.2017.20160315

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Comparison of the Cross-calibration Methods between Image-based and RTM-BRDF for GF-1 Images

LI Juan^1,3, FENG Lian², PANG Xiaoping^1,3

1. Chinese Antarctic Center of Surveying and Mapping, Wuhan University, Wuhan 430079, China;
2. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China;
3. Key Laboratory of Polar Science of Surveying and Mapping, National Administration of Surveying, Mapping and Geoinformation, Wuhan 430079, China

Received:2016-06-28 Revised:2017-06-13 Online:2017-07-20 Published:2017-07-25
Supported by:
The National Natural Science Foundation of China (Nos. 41671338;41401388)

Abstract

Abstract: Four wide-field-of-view (WFV) instruments are on board the Gaofen-1 (or GF-1) satellite, providing a combined swath of ~800 km. Before appling to quantitative remote sensing, precision radiometric calibration is needed. Currently, there are two cross-calibration methods. One is the traditional cross-calibration method (image-based), the other is based on radiative transfer model and bidirectional reflectance distribution function(RTM-BRDF). In this study, the two methods were used to cross-calibrate the WFVs of GF-1, and the comparisons were made at the same time. The verification based on satellite data and in situ measurements have shown that, for the two approximately nadir imaging camera WFV2 and WFV3, Image-based method could get higher precision radiometric calibration coefficients, while for two non-nadir imaging cameras WFV1 and WFV4, high precision calibration coefficients would be obtained by the RTM-BRDF method. Finally, the calibration coefficients of GF-1 was derived by the combination of the two methods.

Key words: Gaofen-1 satellite, cross-calibration, relative spectral response, USGS spectral library, aerosol, radiative transfer model, BRDF

CLC Number:

P237

LI Juan, FENG Lian, PANG Xiaoping. Comparison of the Cross-calibration Methods between Image-based and RTM-BRDF for GF-1 Images[J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(7): 882-890.

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Comparison of the Cross-calibration Methods between Image-based and RTM-BRDF for GF-1 Images

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