Remote sensing and forest carbon monitoring—a review of recent progress, challenges and opportunities
Remote sensing provides key inputs to a wide range of models and methods developed for
quantifying forest carbon. In particular, carbon inventory methods recommended by IPCC …
quantifying forest carbon. In particular, carbon inventory methods recommended by IPCC …
A dual attention neural network for airborne LiDAR point cloud semantic segmentation
K Zhang, L Ye, W **ao, Y Sheng… - … on Geoscience and …, 2022 - ieeexplore.ieee.org
With the development of airborne light detection and ranging (LiDAR) technology, it has
become a common and efficient way to collect large-scale 3-D spatial information. However …
become a common and efficient way to collect large-scale 3-D spatial information. However …
Forest height retrieval using P-band airborne multi-baseline SAR data: A novel phase compensation method
H Lu, H Zhang, H Fan, D Liu, J Wang, X Wan… - ISPRS Journal of …, 2021 - Elsevier
Synthetic aperture radar (SAR) tomography (TomoSAR) has been well-established for three-
dimensional (3-D) information extraction of forests using the multi-baseline SAR data stacks …
dimensional (3-D) information extraction of forests using the multi-baseline SAR data stacks …
The comprehensive airborne remote sensing experiment in Saihanba forest farm
P Yong, X Liang, JIA Wen, SI Lin… - National Remote …, 2021 - ygxb.ac.cn
This paper introduces the “Saihanba comprehensive airborne remote sensing experiment of
forest resources”(The carbon cycle airborne experiment), which is part of “The …
forest resources”(The carbon cycle airborne experiment), which is part of “The …
塞罕坝林场机载综合遥感试验.
庞勇， 梁晓军， 荚文， 斯林， 阎广建… - Journal of Remote …, 2021 - search.ebscohost.com
English This paper introduces the “Saihanba comprehensive airborne remote sensing
experiment of forest resources”(The carbon cycle airborne experiment), which is part of “The …
experiment of forest resources”(The carbon cycle airborne experiment), which is part of “The …