Mapping invasive alien plant species with very high spatial resolution and multi-date satellite imagery using object-based and machine learning techniques: A comparative study-Reference-Cited by-同舟云学术

Mapping invasive alien plant species with very high spatial resolution and multi-date satellite imagery using object-based and machine learning techniques: A comparative study

Published:2023-03-24 Issue:1 Volume:60 Page:
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

Nininahazwe Fiston¹²³,Théau Jérôme¹³,Marc Antoine Genest²,Varin Mathieu²

Affiliation:

1. Département de Géomatique appliquée, Université de Sherbrooke, Sherbrooke, Canada

2. Centre d’enseignement et de recherche en foresterie (CERFO), Quebec, Canada

3. Centre de la science de la biodiversité du Québec, Montréal, Canada

Funder

Mitacs

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2023.2190203

Reference128 articles.

1. Mapping Invasive Phragmites australis in the Old Woman Creek Estuary Using UAV Remote Sensing and Machine Learning Classifiers

2. Mapping eucalypts trees using high resolution multispectral images: A study comparing WorldView 2 vs. SPOT 7

3. Impacts of the invasive plant Fallopia japonica (Houtt.) on plant communities and ecosystem processes

4. Applying Support Vector Machines to Imbalanced Datasets

5. Selection bias in gene extraction on the basis of microarray gene-expression data

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