Multi-Sensor Aboveground Biomass Estimation in the Broadleaved Hyrcanian Forest of Iran-Reference-Cited by-同舟云学术

Multi-Sensor Aboveground Biomass Estimation in the Broadleaved Hyrcanian Forest of Iran

Published:2021-09-07 Issue:6 Volume:47 Page:818-834
ISSN:0703-8992
Container-title:Canadian Journal of Remote Sensing
language:en
Short-container-title:Canadian Journal of Remote Sensing

Author:

Ronoud Ghasem¹^ORCID,Fatehi Parviz²^ORCID,Darvishsefat Ali A.²^ORCID,Tomppo Erkki¹³^ORCID,Praks Jaan¹^ORCID,Schaepman Michael E.⁴^ORCID

Affiliation:

1. Department of Electronics and Nanoengineering, School of Electrical Engineering, Aalto University, Helsinki, 02150, Finland

2. Department of Forestry and Forest Economics, Faculty of Natural Resources, University of Tehran, Karaj, Iran

3. Department of Forest Sciences, University of Helsinki, P.O. Box 27, Helsinki, FI-00014, Finland

4. Department of Geography, Remote Sensing Laboratories, University of Zurich, Winterthurerstrasse190, Zurich, 8057, Switzerland

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/07038992.2021.1968811

Reference99 articles.

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3. Comparison of Sentinel-2 and Landsat 8 imagery for forest variable prediction in boreal region

4. Mapping attributes of Canada’s forests at moderate resolution through kNN and MODIS imagery

5. SAR-Based Estimation of Above-Ground Biomass and Its Changes in Tropical Forests of Kalimantan Using L- and C-Band

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