Optimizing Sentinel-2 feature space for improved crop biophysical and biochemical variables retrieval using the novel spectral triad feature selection algorithm-Reference-Cited by-同舟云学术

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Optimizing Sentinel-2 feature space for improved crop biophysical and biochemical variables retrieval using the novel spectral triad feature selection algorithm

Published:2024-01 Issue:1 Volume:39 Page:
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Kganyago Mahlatse¹²^ORCID,Adjorlolo Clement²³,Mhangara Paidamwoyo²

Affiliation:

1. Department of Geography, Environmental Management and Energy Studies, University of Johannesburg, Johannesburg, South Africa

2. School of Geography, Archaeology and Environmental Studies, University of the Witwatersrand, Johannesburg, South Africa

3. African Union Development Agency (AUDA-NEPAD), Johannesburg, South Africa

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2024.2309174

Reference48 articles.

1. Breiman L Cutler A Liaw A Wiener M. 2018. Package ‘RandomForest’ - Breiman and Cutler’s Random Forests for Classification and Regression. CRAN Repository. L Breiman A Cutler A Liaw M. Wiener

2. Estimating Corn Leaf Chlorophyll Concentration from Leaf and Canopy Reflectance

3. A red-edge spectral index for remote sensing estimation of green LAI over agroecosystems

4. Retrieval of the canopy chlorophyll content from Sentinel-2 spectral bands to estimate nitrogen uptake in intensive winter wheat cropping systems

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