High-dimensional detection of Landscape Dynamics: a Landsat time series-based algorithm for forest disturbance mapping and beyond-Reference-Cited by-同舟云学术

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High-dimensional detection of Landscape Dynamics: a Landsat time series-based algorithm for forest disturbance mapping and beyond

Published:2024-06-12 Issue:1 Volume:61 Page:
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

Morresi Donato¹^ORCID,Maeng Hyeyoung²^ORCID,Marzano Raffaella¹^ORCID,Lingua Emanuele³^ORCID,Motta Renzo¹^ORCID,Garbarino Matteo¹^ORCID

Affiliation:

1. Department of Agricultural, Forest and Food Sciences, University of Torino, Grugliasco, IT, Italy

2. Department of Mathematical Sciences, Durham University, Durham, UK

3. Department of Land, Environment, Agriculture and Forestry, University of Padova, Legnaro, IT, Italy

Funder

European Union

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2024.2365001

Reference89 articles.

1. On underestimation of global vulnerability to tree mortality and forest die-off from hotter drought in the Anthropocene

2. A global overview of drought and heat-induced tree mortality reveals emerging climate change risks for forests

3. Increasing rates of subalpine tree mortality linked to warmer and drier summers

4. Forest Monitoring Using Landsat Time Series Data: A Review

5. Changes of forest cover and disturbance regimes in the mountain forests of the Alps

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