Forest Biomass Estimation at High Spatial Resolution: Radar Versus Lidar Sensors-Reference-Cited by-同舟云学术

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Forest Biomass Estimation at High Spatial Resolution: Radar Versus Lidar Sensors

Published:2014-03 Issue:3 Volume:11 Page:711-715
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Tanase Mihai A.,Panciera Rocco,Lowell Kim,Aponte Cristina,Hacker Jorg M.,Walker Jeffrey P.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/6675037/06583278.pdf?arnumber=6583278

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Overview of the Biomass Models;Forest Bioenergy;2024

2. Identification of sensor technologies with the potential to support roadside ecosystem services;2022 IEEE 28th International Conference on Engineering, Technology and Innovation (ICE/ITMC) & 31st International Association For Management of Technology (IAMOT) Joint Conference;2022-06-19

3. Assessing the Usefulness of LiDAR for Monitoring the Structure of a Montane Forest on a Subtropical Oceanic Island;Remote Sensing;2022-02-18

4. Growing Stock Volume Retrieval from Single and Multi-Frequency Radar Backscatter;Forests;2021-07-17

5. Deep Neural Networks for Forest Growing Stock Volume Retrieval: A Comparative Analysis for L-band SAR data;IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium;2020-09-26

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