激光雷达森林参数反演研究进展
李增元， 刘清旺， 庞勇 - 遥感学报, 2021 - ygxb.ac.cn
激光雷达通过发射激光能量和接收返回信号的方式, 来获取高精度的森林空间结构和林下地形
信息. 全波形激光雷达通过记录返回信号的全部能量, 得到亚米级植被垂直剖面; …
信息. 全波形激光雷达通过记录返回信号的全部能量, 得到亚米级植被垂直剖面; …
A review: Individual tree species classification using integrated airborne LiDAR and optical imagery with a focus on the urban environment
K Wang, T Wang, X Liu - Forests, 2018 - mdpi.com
With the significant progress of urbanization, cities and towns are suffering from air pollution,
heat island effects, and other environmental problems. Urban vegetation, especially trees …
heat island effects, and other environmental problems. Urban vegetation, especially trees …
Estimation of forest above-ground biomass by geographically weighted regression and machine learning with sentinel imagery
Accurate forest above-ground biomass (AGB) is crucial for sustaining forest management
and mitigating climate change to support REDD+ (reducing emissions from deforestation …
and mitigating climate change to support REDD+ (reducing emissions from deforestation …
Stem–leaf segmentation and phenotypic trait extraction of individual maize using terrestrial LiDAR data
Accurate and high throughput extraction of crop phenotypic traits, as a crucial step of
molecular breeding, is of great importance for yield increasing. However, automatic stem …
molecular breeding, is of great importance for yield increasing. However, automatic stem …
Deep learning: individual maize segmentation from terrestrial lidar data using faster R-CNN and regional growth algorithms
The rapid development of light detection and ranging (Lidar) provides a promising way to
obtain three-dimensional (3D) phenotype traits with its high ability of recording accurate 3D …
obtain three-dimensional (3D) phenotype traits with its high ability of recording accurate 3D …
Separating the structural components of maize for field phenotyping using terrestrial LiDAR data and deep convolutional neural networks
Separating structural components is important but also challenging for plant phenotyping
and precision agriculture. Light detection and ranging (LiDAR) technology can potentially …
and precision agriculture. Light detection and ranging (LiDAR) technology can potentially …
Crop 3D—a LiDAR based platform for 3D high-throughput crop phenotyping
Q Guo, F Wu, S Pang, X Zhao, L Chen, J Liu… - Science China Life …, 2018 - Springer
With the growing population and the reducing arable land, breeding has been considered
as an effective way to solve the food crisis. As an important part in breeding, high-throughput …
as an effective way to solve the food crisis. As an important part in breeding, high-throughput …
Improving estimation of tree parameters by fusing ALS and TLS point cloud data based on canopy gap shape feature points
R Zhou, H Sun, K Ma, J Tang, S Chen, L Fu, Q Liu - Drones, 2023 - mdpi.com
Airborne laser scanning (ALS) and terrestrial laser scanning (TLS) are two ways to obtain
forest three-dimensional (3D) spatial information. Due to canopy occlusion and the features …
forest three-dimensional (3D) spatial information. Due to canopy occlusion and the features …
Estimating the horizontal and vertical distributions of pigments in canopies of ginkgo plantation based on UAV-borne LiDAR, hyperspectral data by coupling PROSAIL …
S Yin, K Zhou, L Cao, X Shen - Remote Sensing, 2022 - mdpi.com
Pigments are the biochemical material basis for energy and material exchange between
vegetation and the external environment, therefore quantitative determination of pigment …
vegetation and the external environment, therefore quantitative determination of pigment …
Single tree segmentation and diameter at breast height estimation with mobile LiDAR
L Liu, A Zhang, S Xiao, S Hu, N He, H Pang… - Ieee …, 2021 - ieeexplore.ieee.org
The tree diameter at breast height (DBH) is one of the most important variables for
monitoring the forest ecology. Mobile laser scanning (MLS), which has been widely applied …
monitoring the forest ecology. Mobile laser scanning (MLS), which has been widely applied …