6533b7d3fe1ef96bd1261221
RESEARCH PRODUCT
Evaluation of the MODIS Albedo product over a heterogeneous agricultural area
Eric VermoteJosé A. SobrinoBelen FranchR. Oltra-carrióE. Fedelesubject
010504 meteorology & atmospheric sciencesMeteorologyPixel0211 other engineering and technologiesHyperspectral imaging02 engineering and technologyAlbedo01 natural sciencesGeneral Earth and Planetary SciencesEnvironmental scienceSatelliteSatellite imageryModerate-resolution imaging spectroradiometerBidirectional reflectance distribution functionZenith021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingdescription
In this article, the Moderate Resolution Imaging Spectroradiometer MODIS Bidirectional Reflectance Distribution Function BRDF/Albedo product MCD43 is evaluated over a heterogeneous agricultural area in the framework of the Earth Observation: Optical Data Calibration and Information Extraction EODIX project campaign, which was developed in Barrax Spain in June 2011. In this method, two models, the RossThick-LiSparse-Reciprocal RTLSR which corresponds to the MODIS BRDF algorithm and the RossThick-Maignan-LiSparse-Reciprocal RTLSR-HS, were tested over airborne data by processing high-resolution images acquired with the Airborne Hyperspectral Scanner AHS sensor. During the campaign, airborne images were retrieved with different view zenith angles along the principal and orthogonal planes. Comparing the results of applying the models to the airborne data with ground measurements, we obtained a root mean square error RMSE of 0.018 with both RTLSR and RTLSR-HS models. The evaluation of the MODIS BRDF/Albedo product MCD43 was performed by comparing satellite images with AHS estimations. The results reported an RMSE of 0.04 with both models. Additionally, taking advantage of a homogeneous barley pixel, we compared in situ albedo data to satellite albedo data. In this case, the MODIS albedo estimation was 0.210 ± 0.003, while the in situ measurement was 0.204 ± 0.003. This result shows good agreement in regard to a homogeneous pixel.
year | journal | country | edition | language |
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2013-04-30 | International Journal of Remote Sensing |