@inproceedings{50b7dee7e6a04fa2b8ee17bcce7e35cc,
title = "Assessing the use of multiple constraints and ancillary data to support scope model inversion in a experimental grassland",
abstract = " The SCOPE model embeds the state of art for coupling soil vegetation atmosphere transfer (SVAT) and radiative transfer models (RTM). For that reason the FLuorescence EXplorer (FLEX) mission selected this model to derive vegetation properties through inversion. However inverse problem is often ill-posed, providing equally likely solutions and hence inflating the uncertainty of the retrieved parameters. In this work we test the use of different priors based on ancillary measurements and literature to support multiple-constrain inversion of SCOPE. Results show that prior information on the relationships between variables such as leaf chlorophyll content (C ab ), leaf carotenoids content (C ca ), leaf water content (C w ) and/or maximum carboxylation rate (V cmax ) reduce inversion uncertainties and overfitting, and should be sampled/estimated together with optical data. ",
keywords = "Model inversion, Plant traits, Prior information, Radiative transfer, SCOPE",
author = "Javier Pacheco-Labrador and Nuno Carvalhais and Oscar Perez-Priego and El-Madany, {Tarek S.} and Micol Rossini and Tommaso Julitta and Gerardo Moreno and Rosario Gonz{\'a}lez-Casc{\'o}n and {Pilar Mart{\'i}n}, M. and Markus Reichstein and Arnaud Carrara and Luis Guanter and Mirco Migliavacca",
note = "We also acknowledge German Industry Ministry (BMBF) and Space Agency (DLR) for funding the EnMAP project MoReDEHESHyReS {"}Modelling Responses of Dehesas with Hyperspectral Remote Sensing{"} (Contract No. 50EE1621). The Alexander von Humboldt Foundation funded the research at Majadas de Tietar trough the Max Planck Research Award to Markus Reichstein. Long term series of biophysical data were provided by the projects FLU chi PEC (CGL2012-34383) and SynerTGE (CGL2015-G9095-R), both funded by the Spanish Ministry of Economy and Competitiveness.; 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 ; Conference date: 22-07-2018 Through 27-07-2018",
year = "2018",
month = oct,
day = "31",
doi = "10.1109/IGARSS.2018.8518487",
language = "English",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
pages = "5975--5978",
booktitle = "2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings",
address = "United States",
}