Monitoring of post-fire forest recovery under different restoration modes based on time series Landsat data-Reference-Cited by-同舟云学术

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Monitoring of post-fire forest recovery under different restoration modes based on time series Landsat data

Published:2014-01 Issue:1 Volume:47 Page:153-168
ISSN:2279-7254
Container-title:European Journal of Remote Sensing
language:en
Short-container-title:European Journal of Remote Sensing

Author:

Chen Wei¹,Moriya Kazuyuki¹,Sakai Tetsuro¹,Koyama Lina¹,Cao Chunxiang²

Affiliation:

1. Biosphere Informatics Laboratory, Department of Social Informatics, Graduate School of Informatics, Kyoto University, 606-8501, Kyoto, Japan

2. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, 100101, Beijing, China

Publisher

Informa UK Limited

Subject

Applied Mathematics,Atmospheric Science,Computers in Earth Sciences,General Environmental Science

Link

https://www.tandfonline.com/doi/pdf/10.5721/EuJRS20144710

Reference44 articles.

1. Post-fire restoration of beech stands in the Southern Alps by natural regeneration

2. Spatial distribution of late-successional coniferous species regeneration following disturbance in southwestern Québec boreal forest

3. Pinus sylvestris forest regeneration under different post-fire restoration practices in the northwestern Italian Alps

4. Environmental factors and ecological processes controlling vegetation patterns in boreal forests

5. Automatic radiometric normalization of multitemporal satellite imagery with the iteratively re-weighted MAD transformation

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