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 …
[HTML][HTML] Remote sensing image fusion on 3D scenarios: A review of applications for agriculture and forestry
Abstract Three-dimensional (3D) image map** of real-world scenarios has a great
potential to provide the user with a more accurate scene understanding. This will enable …
potential to provide the user with a more accurate scene understanding. This will enable …
Performance evaluation of GEDI and ICESat-2 laser altimeter data for terrain and canopy height retrievals
With the advent of the next generation of space-based laser altimeters, ICESat-2 and GEDI,
we are entering an exciting era of active remote sensing of forests that offers unprecedented …
we are entering an exciting era of active remote sensing of forests that offers unprecedented …
Neural network guided interpolation for map** canopy height of China's forests by integrating GEDI and ICESat-2 data
Spatially continuous estimates of forest canopy height at national to global scales are critical
for quantifying forest carbon storage, understanding forest ecosystem processes, and …
for quantifying forest carbon storage, understanding forest ecosystem processes, and …
Detecting change-point, trend, and seasonality in satellite time series data to track abrupt changes and nonlinear dynamics: A Bayesian ensemble algorithm
Satellite time-series data are bolstering global change research, but their use to elucidate
land changes and vegetation dynamics is sensitive to algorithmic choices. Different …
land changes and vegetation dynamics is sensitive to algorithmic choices. Different …
[HTML][HTML] High-resolution map** of forest canopy height using machine learning by coupling ICESat-2 LiDAR with Sentinel-1, Sentinel-2 and Landsat-8 data
Forest canopy height is an important indicator of forest carbon storage, productivity, and
biodiversity. The present study showed the first attempt to develop a machine-learning …
biodiversity. The present study showed the first attempt to develop a machine-learning …
Combination of feature selection and catboost for prediction: The first application to the estimation of aboveground biomass
M Luo, Y Wang, Y **e, L Zhou, J Qiao, S Qiu, Y Sun - Forests, 2021 - mdpi.com
Increasing numbers of explanatory variables tend to result in information redundancy and
“dimensional disaster” in the quantitative remote sensing of forest aboveground biomass …
“dimensional disaster” in the quantitative remote sensing of forest aboveground biomass …
Lidar boosts 3D ecological observations and modelings: A review and perspective
The advent of lidar has revolutionized the way we observe and measure vegetation structure
from the ground and from above and represents a major advance toward the quantification …
from the ground and from above and represents a major advance toward the quantification …
[HTML][HTML] Estimating aboveground biomass of the mangrove forests on northeast Hainan Island in China using an upscaling method from field plots, UAV-LiDAR data …
The mangrove forests of northeast Hainan Island are the most species diverse forests in
China and consist of the Dongzhai National Nature Reserve and the Qinglan Provincial …
China and consist of the Dongzhai National Nature Reserve and the Qinglan Provincial …
Aboveground biomass estimation using multi-sensor data synergy and machine learning algorithms in a dense tropical forest
Forest aboveground biomass (AGB) is an important factor for tracking global carbon cycle to
tackle the impact of climate change. Among all available remote sensing data and methods …
tackle the impact of climate change. Among all available remote sensing data and methods …