[HTML][HTML] Modelling lidar-derived estimates of forest attributes over space and time: A review of approaches and future trends
Light detection and ranging (lidar) data acquired from airborne or spaceborne platforms
have revolutionized measurement and map** of forest attributes. Airborne data are often …
have revolutionized measurement and map** of forest attributes. Airborne data are often …
[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 …
Remote estimation of canopy height and aboveground biomass of maize using high-resolution stereo images from a low-cost unmanned aerial vehicle system
Canopy height (H canopy) and aboveground biomass (AGB) of crops are two basic agro-
ecological indicators that can provide important indications on the growth, light use …
ecological indicators that can provide important indications on the growth, light use …
Deep learning based retrieval of forest aboveground biomass from combined LiDAR and landsat 8 data
L Zhang, Z Shao, J Liu, Q Cheng - Remote Sensing, 2019 - mdpi.com
Estimation of forest aboveground biomass (AGB) is crucial for various technical and
scientific applications, ranging from regional carbon and bioenergy policies to sustainable …
scientific applications, ranging from regional carbon and bioenergy policies to sustainable …
Comparison of canopy cover estimations from airborne LiDAR, aerial imagery, and satellite imagery
Canopy cover is an important forest structure parameter for many applications in ecology,
hydrology, and forest management. Light detection and ranging (LiDAR) is a promising tool …
hydrology, and forest management. Light detection and ranging (LiDAR) is a promising tool …
Stacked sparse autoencoder modeling using the synergy of airborne LiDAR and satellite optical and SAR data to map forest above-ground biomass
Timely, spatially complete, and reliable forest above-ground biomass (AGB) data are a
prerequisite to support forest management and policy formulation. Traditionally, forest AGB …
prerequisite to support forest management and policy formulation. Traditionally, forest AGB …
Forest canopy height map** by synergizing icesat-2, sentinel-1, sentinel-2 and topographic information based on machine learning methods
Z **, H Xu, Y **ng, W Gong, G Chen, S Yang - Remote Sensing, 2022 - mdpi.com
Spaceborne LiDAR has been widely used to obtain forest canopy heights over large areas,
but it is still a challenge to obtain spatio-continuous forest canopy heights with this …
but it is still a challenge to obtain spatio-continuous forest canopy heights with this …
A radiative transfer model-based method for the estimation of grassland aboveground biomass
This paper presents a novel method to derive grassland aboveground biomass (AGB) based
on the PROSAILH (PROSPECT+ SAILH) radiative transfer model (RTM). Two variables, leaf …
on the PROSAILH (PROSPECT+ SAILH) radiative transfer model (RTM). Two variables, leaf …
Examining effective use of data sources and modeling algorithms for improving biomass estimation in a moist tropical forest of the Brazilian Amazon
Previous research has explored the potential to integrate lidar and optical data in
aboveground biomass (AGB) estimation, but how different data sources, vegetation types …
aboveground biomass (AGB) estimation, but how different data sources, vegetation types …
Upscaling aboveground biomass of larch (Larix olgensis Henry) plantations from field to satellite measurements: a comparison of individual tree-based and area …
Z Zhen, L Yang, Y Ma, Q Wei, HI **… - GIScience & Remote …, 2022 - Taylor & Francis
Currently, aboveground biomass (AGB) estimation primarily relies on an area-based
approach (ABA), particularly at a large scale. With the advancement of individual tree …
approach (ABA), particularly at a large scale. With the advancement of individual tree …