On the Potential of Sequential and Nonsequential Regression Models for Sentinel-1-Based Biomass Prediction in Tanzanian Miombo Forests-Reference-Cited by-同舟云学术

On the Potential of Sequential and Nonsequential Regression Models for Sentinel-1-Based Biomass Prediction in Tanzanian Miombo Forests

Published:2022 Issue: Volume:15 Page:4612-4639
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Bjork Sara¹^ORCID,Anfinsen Stian Normann¹^ORCID,Naesset Erik²,Gobakken Terje²^ORCID,Zahabu Eliakimu³

Affiliation:

1. Machine Learning Group, Department of Physics and Technology, UiT The Arctic University of Norway, Tromsø, Norway

2. Faculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, Ås, Norway

3. Department of Forest Resources Assessment and Management, Sokoine University of Agriculture, Morogoro, United Republic of Tanzania

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

Reference98 articles.

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