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Integrating Remote Sensing and Machine Learning to Project Global Habitat Suitability and Productivity of Chinese Fir Under Climate Change

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Published in:Ecology and Evolution
Format: Online Article RSS Article
Published: 2026
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container_title Ecology and Evolution
description
discipline_display Environmental Studies
discipline_facet Environmental Studies
format Online Article
RSS Article
genre Journal Article
id rss_article:72426
institution FRELIP
journal_source_facet Ecology and Evolution
last_indexed 2026-06-20T21:30:35.158Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Integrating Remote Sensing and Machine Learning to Project Global Habitat Suitability and Productivity of Chinese Fir Under Climate Change
Environmental Studies
General
Environmental Studies
sub_discipline_display General
sub_discipline_facet General
subject_display Environmental Studies
General
Environmental Studies
subject_facet Environmental Studies
General
Environmental Studies
title Integrating Remote Sensing and Machine Learning to Project Global Habitat Suitability and Productivity of Chinese Fir Under Climate Change
title_alt Integración de teledetección y aprendizaje automático para proyectar la idoneidad de hábitat global y la productividad del abeto chino bajo cambio climático
Intégration de la télédétection et de l'apprentissage automatique pour projeter l'adéquation mondiale de l'habitat et la productivité du sapin de Chine sous le changement climatique
Integrando Sensoriamento Remoto e Aprendizado de Máquina para Projetar a Adequabilidade Global de Habitat e Produtividade do Pinheiro-de-Cunningham sob Mudança Climática
title_auth Integrating Remote Sensing and Machine Learning to Project Global Habitat Suitability and Productivity of Chinese Fir Under Climate Change
title_es_txt Integración de teledetección y aprendizaje automático para proyectar la idoneidad de hábitat global y la productividad del abeto chino bajo cambio climático
title_fr_txt Intégration de la télédétection et de l'apprentissage automatique pour projeter l'adéquation mondiale de l'habitat et la productivité du sapin de Chine sous le changement climatique
title_full Integrating Remote Sensing and Machine Learning to Project Global Habitat Suitability and Productivity of Chinese Fir Under Climate Change
title_fullStr Integrating Remote Sensing and Machine Learning to Project Global Habitat Suitability and Productivity of Chinese Fir Under Climate Change
title_full_unstemmed Integrating Remote Sensing and Machine Learning to Project Global Habitat Suitability and Productivity of Chinese Fir Under Climate Change
title_pt_txt Integrando Sensoriamento Remoto e Aprendizado de Máquina para Projetar a Adequabilidade Global de Habitat e Produtividade do Pinheiro-de-Cunningham sob Mudança Climática
title_short Integrating Remote Sensing and Machine Learning to Project Global Habitat Suitability and Productivity of Chinese Fir Under Climate Change
title_sort integrating remote sensing and machine learning to project global habitat suitability and productivity of chinese fir under climate change
topic Environmental Studies
General
Environmental Studies
url https://onlinelibrary.wiley.com/doi/10.1002/ece3.73757?af=R