Testing the utility of the resampled nSight-2 spectral configurations in discriminating wetland plant species using Random Forest classifier-Reference-Cited by-同舟云学术

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Testing the utility of the resampled nSight-2 spectral configurations in discriminating wetland plant species using Random Forest classifier

Published:2022-04-19 Issue:26 Volume:37 Page:11830-11845
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Gasela Mchasisi¹,Kganyago Mahlatse²³^ORCID,De Jager Gerhard¹

Affiliation:

1. Space Laboratory, University of Cape Town, Cape Town, South Africa

2. South African National Space Agency, Pretoria, South Africa

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

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2022.2060326

Reference63 articles.

1. The Utility of AISA Eagle Hyperspectral Data and Random Forest Classifier for Flower Mapping

2. Spectral discrimination of papyrus vegetation (Cyperus papyrus L.) in swamp wetlands using field spectrometry

3. Estimating standing biomass in papyrus (Cyperus papyrus L.) swamp: exploratory of in situ hyperspectral indices and random forest regression

4. Multispectral and hyperspectral remote sensing for identification and mapping of wetland vegetation: a review

5. Discriminating the papyrus vegetation (Cyperus papyrusL.) and its co-existent species using random forest and hyperspectral data resampled to HYMAP

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Using resampled nSight-2 hyperspectral data and various machine learning classifiers for discriminating wetland plant species in a Ramsar Wetland site, South Africa;Applied Geomatics;2024-03-14

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