Optimising Sentinel-2 MSI spatial resolution for estimating foliar nitrogen concentration in miombo woodlands-Reference-Cited by-同舟云学术

Optimising Sentinel-2 MSI spatial resolution for estimating foliar nitrogen concentration in miombo woodlands

Published:2021-05-27 Issue: Volume: Page:1-15
ISSN:1449-8596
Container-title:Journal of Spatial Science
language:en
Short-container-title:Journal of Spatial Science

Author:

Mutowo Godfrey¹²,Mutanga Onisimo¹,Masocha Mhosisi³

Affiliation:

1. Discipline of Geography, School of Agricultural, Earth and Environmental Sciences, University of KwaZulu-Natal, Scottsville, Pietermaritzburg, South Africa

2. Department of Physics, Geography and Environmental Science, Great Zimbabwe University, Masvingo, Zimbabwe

3. Department of Geography & Environmental Science, University of Zimbabwe, Mount Pleasant, Harare, Zimbabwe

Funder

DST/ National Research Foundation of South Africa

Publisher

Informa UK Limited

Subject

Atmospheric Science,General Energy,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/14498596.2021.1930592

Reference60 articles.

1. Random forest regression and spectral band selection for estimating sugarcane leaf nitrogen concentration using EO-1 Hyperion hyperspectral data

2. Airborne spectranomics: mapping canopy chemical and taxonomic diversity in tropical forests

3. A method for predicting fresh green leaf nitrogen concentrations from shortwave infrared reflectance spectra acquired at the canopy level that requires no in situ nitrogen data

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