Applicability of parametric and nonparametric regression models for retrieval of crop canopy parameters for winter rapeseed and wheat crops using Sentinel-2 multispectral data-Reference-Cited by-同舟云学术

Applicability of parametric and nonparametric regression models for retrieval of crop canopy parameters for winter rapeseed and wheat crops using Sentinel-2 multispectral data

Published:2019-06-27 Issue: Volume: Page:
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Container-title:Seventh International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2019)
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Author:

Ganeva Dessislava,Roumenina Eugenia,Jelev Georgi,Banov Marin,Krasteva Veneta,Kolchakov Victor

Publisher

SPIE

Reference31 articles.

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4. Estimation and Mapping of Winter Oilseed Rape LAI from High Spatial Resolution Satellite Data Based on a Hybrid Method

5. Comparison of different vegetation indices for the remote assessment of green leaf area index of crops

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2. Phenotypic Traits Estimation and Preliminary Yield Assessment in Different Phenophases of Wheat Breeding Experiment Based on UAV Multispectral Images;Remote Sensing;2022-02-20

3. Evaluation of Multiorbital SAR and Multisensor Optical Data for Empirical Estimation of Rapeseed Biophysical Parameters;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2021

4. Evaluation of Sentinel-2 vegetation indices for prediction of LAI, fAPAR and fCover of winter wheat in Bulgaria;European Journal of Remote Sensing;2020-11-24

5. Evaluation of Sentinel-1 and -2 time series for estimating LAI and biomass of wheat and rapeseed crop types;Journal of Applied Remote Sensing;2020-05-14