Data homogeneity impact in tree species classification based on Sentinel-2 multitemporal data case study in central Sweden-Reference-Cited by-同舟云学术

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Data homogeneity impact in tree species classification based on Sentinel-2 multitemporal data case study in central Sweden

Published:2024-07-10 Issue:15 Volume:45 Page:5050-5075
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

D’Amico Giovanni¹²,Nilsson Mats³^ORCID,Axelsson Arvid³^ORCID,Chirici Gherardo¹⁴

Affiliation:

1. Department of Agriculture, Food, Environment and Forestry, University of Florence, Florence, Italy

2. CREA Research Centre for Forestry and Wood, Arezzo, Italy

3. Department of Forest Resource Management, Swedish University of Agricultural Sciences, Umeå, Sweden

4. Fondazione per il Futuro delle Città, Florence, Italy

Funder

MISTRA Digital Forest

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2024.2371082

Reference61 articles.

1. Forest Land Cover Mapping at a Regional Scale Using Multi-Temporal Sentinel-2 Imagery and RF Models

2. Tree species classification using Sentinel-2 imagery and Bayesian inference

3. Random forest in remote sensing: A review of applications and future directions

4. European Mixed Forests: definition and research perspectives

5. National mapping and estimation of forest area by dominant tree species using Sentinel-2 data

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