Enhancing individual tree mortality mapping: The impact of models, data modalities, and classification taxonomy-Reference-Cited by-同舟云学术

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Enhancing individual tree mortality mapping: The impact of models, data modalities, and classification taxonomy

Published:2024-01 Issue: Volume:300 Page:113914
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Khatri-Chhetri Pratima,van Wagtendonk Liz,Hendryx Sean M.,Kane Van R.

Funder

California Department of Forestry and Fire Protection

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference59 articles.

1. Temperature sensitivity of drought-induced tree mortality portends increased regional die-off under global-change-type drought;Adams;Proc. Natl. Acad. Sci.,2009

2. A global overview of drought and heat-induced tree mortality reveals emerging climate change risks for forests;Allen;For. Ecol. Manag.,2010

3. On underestimation of global vulnerability to tree mortality and forest die-off from hotter drought in the Anthropocene;Allen;Ecosphere,2015

4. Progressive forest canopy water loss during the 2012–2015 California drought;Asner;Proc. Natl. Acad. Sci.,2016

5. Predicting tree mortality using spectral indices derived from multispectral UAV imagery;Bergmüller;Remote Sens.,2022

Cited by 2 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. Comparative performance of four machine learning models for land cover classification in a low-cost UAV ultra-high-resolution RGB-only orthomosaic;Earth Science Informatics;2024-04-30

2. HyperMLL: Toward Robust Hyperspectral Image Classification With Multisource Label Learning;IEEE Transactions on Geoscience and Remote Sensing;2024

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