Multi-Source Remote Sensing Based Modeling of Vegetation Productivity in the Boreal: Issues & Opportunities-Reference-Cited by-同舟云学术

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Multi-Source Remote Sensing Based Modeling of Vegetation Productivity in the Boreal: Issues & Opportunities

Published:2023-07-12 Issue:1 Volume:49 Page:
ISSN:0703-8992
Container-title:Canadian Journal of Remote Sensing
language:en
Short-container-title:Canadian Journal of Remote Sensing

Author:

Melser Ramon¹^ORCID,Coops Nicholas C.¹^ORCID,Wulder Michael A.²^ORCID,Derksen Chris³^ORCID

Affiliation:

1. Department of Forest Resource Management, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada

2. Canadian Forest Service, Natural Resources Canada, Victoria, BC, V8Z 1M6, Canada

3. Environment and Climate Change Canada, Climate Research Division, Toronto, ON, M3H 5T4, Canada

Funder

Canadian Space Agency

NSERC

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/07038992.2023.2256895

Reference112 articles.

1. Abraham K. F. and McKinnon L. M. 2011. Hudson Plains Ecozone + Evidence for Key Findings Summary . Canadian Councils of Resource Ministers. https://go.exlibris.link/xkvTVwYN

2. Carbon budgets for soil and plants respond to long-term warming in an Alaskan boreal forest

3. The velocity of climate change

4. High-fidelity national carbon mapping for resource management and REDD+

5. Baston Daniel. 2022. Exactextractr: Fast Extraction from Raster Datasets Using Polygons . https://cran.r-project.org/web/packages/exactextractr/index.html.

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