@inproceedings{20213510842569 ,
language = {English},
copyright = {Compilation and indexing terms, Copyright 2025 Elsevier Inc.},
copyright = {Compendex},
title = {Validation and comparison of cropland leaf area index retrievals from sentinel-2/MSI data using SL2P processor and vegetation indices models},
journal = {International Geoscience and Remote Sensing Symposium (IGARSS)},
author = {Djamai, Najib and Fernandes, Richard and Weiss, Marie and McNairn, Heather and Goita, Kalifa},
volume = {2019-January},
year = {2019},
pages = {4595 - 4598},
address = {Yokohama, Japan},
abstract = {<div data-language="eng" data-ev-field="abstract">Leaf area index (LAI) measurements acquired during the SMAP Validation Experiment 2016 in Manitoba (SMAPVEX16-MB) field campaign were used to validate LAI estimates from Sentinel-2/MSI data using The Simplified Level 2 Product Prototype Processor (SL2P) processor and LAI estimates obtained from locally calibrated vegetation indices (VI) models. Results showed that performances of LAI/SL2P estimates (RMSE = 0.98, bias = - 0.37, slope = 0.70), when compared to in-situ data, are lower than performances of LAI/VI estimates (RMSE = 0.38, bias = 0.19, slope = 0.75) when compared to the same in-situ data.<br/></div> © 2019 IEEE.},
key = {Vegetation},
%keywords = {Remote sensing;Geology;},
%note = {Field campaign;In-situ data;Leaf Area Index;Level 2;Manitoba;Product prototype;Vegetation index;},
URL = {http://dx.doi.org/10.1109/IGARSS.2019.8900557},
}

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