Zhou J (Zhou, Ji)^1,2, Wang JF (Wang, Jinfei)^1,3, Li J (Li, Jing)¹, Hu DY (Hu, Deyong)^4,5,6

1. Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Coll Resources Sci & Technol, Beijing 100875, Peoples R China

2. Univ Elect Sci & Technol China, Inst Geospatial Informat Sci & Technol, Chengdu 610054, Peoples R China

3. Univ Western Ontario, Dept Geog, London, ON N6A 5C2 Canada

4. Capital Normal Univ, Coll Resources Environm & Tourism, Beijing 100048, Peoples R China

5. Chinese Acad Sci, Inst Remote Sensing Applicat, Beijing 100101, Peoples R China

6. Beijing Normal Univ, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China

Abstract: The Compact High Resolution Imaging Spectrometer (CHRIS) is an imaging spectrometer onboard the European Space Agency (ESA) Project for On-Board Autonomy (PROBA) satellite. However, it has been shown that CHRIS presents some miscalibration trends over the spectral region covered. This paper reports a practical procedure for the atmospheric correction of CHRIS images based on field recalibration in an urban environment. In the first stage, the spectra of surface targets are measured and used to simulate the spectral radiance at the top of the atmosphere (TOA) for each channel and to determine the recalibration coefficients of the CHRIS images. In the second stage, two methods for atmospheric correction are examined: the radiative transfer model (RTM) and the improved dark-object subtraction (IDOS) method. For comparison purposes, the empirical line method (ELM) is also evaluated. The accuracy assessment shows that the RTM with the Moderate Resolution Transmittance (MODTRAN) code provides the most accurate atmospheric correction for the multiangular CHRIS images when using the proposed procedure.