期刊
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
卷 4, 期 2, 页码 458-464出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSTARS.2010.2091492
关键词
Sentinel-2; leaf area index; PROSAILH; look-up table; model inversion; radiative transfer model
The present study aimed at testing the potential of the future E.O. mission Sentinel-2 (European GMES programme) for the operational estimation of the Leaf Area Index (LAI) of three contrasting agricultural crops (wheat, sugar beet, and maize). Retrieval of LAI was achieved by using a look-up table (LUT) based inversion of a radiative transfer model (SAILH+PROSPECT). Analyses were mainly carried out using hyperspectral data acquired by the optical airborne instrument CASI, simulating the future Sentinel-2 band setting. Estimated LAI was evaluated using measurements of effective Plant Area Index (PAI(eff)) collected during the ESA AgriSAR 2006 campaign. Additionally, measurements from two other experiments were tested to enrich the validation database. The GMES targeted precision of 10% for green LAI estimation was met for sugar beet (8%), at the limit for wheat (11%) but not for maize (19%). For the three crops the RMSE was in the range 0.4-0.6. The results demonstrate the importance of using crop specific radiative transfer models. For row crops with incomplete coverage and strong leaf clumping, such as maize at early stage, the standard SAILH+PROSPECT model does not appear suitable. However, results must be taken cautiously in view of possible uncertainties of the PAI(eff) measurements. Within a future Sentinel-2 product validation framework, a standard protocol for reference measurements is required to assure consistency of validation data sets.
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