Cross calibration of GF-1 satellite wide field of view sensor with Landsat 8 OLI and HJ-1A HSI

Li Liu; Hailiang Gao; Zhiqiang Pan; Xingfa Gu; Qijin Han; Xuewen Zhang

doi:10.1117/1.JRS.12.016009

8 January 2018 Cross calibration of GF-1 satellite wide field of view sensor with Landsat 8 OLI and HJ-1A HSI

Li Liu, Hailiang Gao, Zhiqiang Pan, Xingfa Gu, Qijin Han, Xuewen Zhang

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 12, Issue 1, 016009 (January 2018). https://doi.org/10.1117/1.JRS.12.016009

Abstract

This paper focuses on cross calibrating the GaoFen (GF-1) satellite wide field of view (WFV) sensor using the Landsat 8 Operational Land Imager (OLI) and HuanJing-1A (HJ-1A) hyperspectral imager (HSI) as reference sensors. Two methods are proposed to calculate the spectral band adjustment factor (SBAF). One is based on the HJ-1A HSI image and the other is based on ground-measured reflectance. However, the HSI image and ground-measured reflectance were measured at different dates, as the WFV and OLI imagers passed overhead. Three groups of regions of interest (ROIs) were chosen for cross calibration, based on different selection criteria. Cross-calibration gains with nonzero and zero offsets were both calculated. The results confirmed that the gains with zero offset were better, as they were more consistent over different groups of ROIs and SBAF calculation methods. The uncertainty of this cross calibration was analyzed, and the influence of SBAF was calculated based on different HSI images and ground reflectance spectra. The results showed that the uncertainty of SBAF was <3% for bands 1 to 3. Two other large uncertainties in this cross calibration were variation of atmosphere and low ground reflectance.

Citation Download Citation

Li Liu, Hailiang Gao, Zhiqiang Pan, Xingfa Gu, Qijin Han, and Xuewen Zhang "Cross calibration of GF-1 satellite wide field of view sensor with Landsat 8 OLI and HJ-1A HSI," Journal of Applied Remote Sensing 12(1), 016009 (8 January 2018). https://doi.org/10.1117/1.JRS.12.016009

Received: 11 July 2017; Accepted: 12 December 2017; Published: 8 January 2018

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