An overview of global leaf area index (LAI): Methods, products, validation, and applications
Leaf area index (LAI) is a critical vegetation structural variable and is essential in the
feedback of vegetation to the climate system. The advancement of the global Earth …
feedback of vegetation to the climate system. The advancement of the global Earth …
Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects
Plant phenomics is a new avenue for linking plant genomics and environmental studies,
thereby improving plant breeding and management. Remote sensing techniques have …
thereby improving plant breeding and management. Remote sensing techniques have …
Estimation of LAI with the LiDAR technology: A review
Leaf area index (LAI) is an important vegetation parameter. Active light detection and
ranging (LiDAR) technology has been widely used to estimate vegetation LAI. In this study …
ranging (LiDAR) technology has been widely used to estimate vegetation LAI. In this study …
UAV multispectral imagery can complement satellite data for monitoring forest health
The development of methods that can accurately detect physiological stress in forest trees
caused by biotic or abiotic factors is vital for ensuring productive forest systems that can …
caused by biotic or abiotic factors is vital for ensuring productive forest systems that can …
Leaf Area Index evaluation in vineyards using 3D point clouds from UAV imagery
Abstract The Leaf Area Index (LAI) is an ecophysiology key parameter characterising the
canopy-atmosphere interface where most of the energy fluxes are exchanged. However …
canopy-atmosphere interface where most of the energy fluxes are exchanged. However …
Estimation of the forest stand mean height and aboveground biomass in Northeast China using SAR Sentinel-1B, multispectral Sentinel-2A, and DEM imagery
Y Liu, W Gong, Y ** the forest stand mean height (FSMH) and aboveground biomass (AGB)
with a high spatial resolution are important for monitoring carbon stocks on Earth and the …
with a high spatial resolution are important for monitoring carbon stocks on Earth and the …
[HTML][HTML] Improving leaf chlorophyll content estimation through constrained PROSAIL model from airborne hyperspectral and LiDAR data
L Xu, S Shi, W Gong, Z Shi, F Qu, X Tang… - International Journal of …, 2022 - Elsevier
Leaf chlorophyll plays an important role in forest management and ecosystem balance.
Hyperspectral images have been widely applied in leaf chlorophyll content (LCC) …
Hyperspectral images have been widely applied in leaf chlorophyll content (LCC) …
Unmanned aerial vehicle-based field phenoty** of crop biomass using growth traits retrieved from PROSAIL model
Unmanned aerial vehicle (UAV) platform has been perceived as a useful tool for high-
throughput field phenoty** of crop growth traits. While interpretation of UAV image data …
throughput field phenoty** of crop growth traits. While interpretation of UAV image data …
Very high density point clouds from UAV laser scanning for automatic tree stem detection and direct diameter measurement
K Kuželka, M Slavík, P Surový - Remote Sensing, 2020 - mdpi.com
Three-dimensional light detection and ranging (LiDAR) point clouds acquired from
unmanned aerial vehicles (UAVs) represent a relatively new type of remotely sensed data …
unmanned aerial vehicles (UAVs) represent a relatively new type of remotely sensed data …
Darwinian genomics and diversity in the tree of life
Genomics encompasses the entire tree of life, both extinct and extant, and the evolutionary
processes that shape this diversity. To date, genomic research has focused on humans, a …
processes that shape this diversity. To date, genomic research has focused on humans, a …