Hybrid retrieval of grass biophysical variables based-on radiative transfer, active learning and regression methods using Sentinel-2 data in Marakele National Park
Author:
Affiliation:
1. Department of Geography, Geoinformatics and Meteorology, University of Pretoria, Pretoria, South Africa
2. Centre for Environmental Studies, Department of Geography, Geoinformatics and Meteorology, University of Pretoria, Pretoria, South Africa
Funder
University of Pretoria
National Research Foundation
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/10106049.2024.2387087
Reference77 articles.
1. Machine learning methods’ performance in radiative transfer model inversion to retrieve plant traits from Sentinel-2 data of a mixed mountain forest
2. Comparing methods for mapping canopy chlorophyll content in a mixed mountain forest using Sentinel-2 data
3. Comparative analysis of different retrieval methods for mapping grassland leaf area index using airborne imaging spectroscopy
4. Comparative analysis of three chemometric techniques for the spectroradiometric assessment of canopy chlorophyll content in winter wheat
5. Neural network estimation of LAI, fAPAR, fCover and LAI×Cab, from top of canopy MERIS reflectance data: Principles and validation
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