Prediction of Dominant Forest Tree Species Using QuickBird and Environmental Data-Reference-Cited by-同舟云学术

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Prediction of Dominant Forest Tree Species Using QuickBird and Environmental Data

Published:2017-02-14 Issue:2 Volume:8 Page:42
ISSN:1999-4907
Container-title:Forests
language:en
Short-container-title:Forests

Author:

Abdollahnejad Azadeh,Panagiotidis Dimitrios,Shataee Joybari Shaban,Surový Peter^ORCID

Publisher

MDPI AG

Subject

Forestry

Link

http://www.mdpi.com/1999-4907/8/2/42/pdf

Reference90 articles.

1. Forests and the Forestry Sectorhttp://www.fao.org/forestry/site/23747/en/Iran

2. Forest attribute imputation using machine-learning methods and ASTER data: comparison of k-NN, SVR and random forest regression algorithms

3. Tree Diversity Limits the Impact of an Invasive Forest Pest

4. Spatial prediction of species distribution: an interface between ecological theory and statistical modelling

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5. Assessing Various Scenarios of Multitemporal Sentinel-2 Imagery, Topographic Data, Texture Features, and Machine Learning Algorithms for Tree Species Identification;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

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