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Estimating aboveground biomass of the mangrove forests on northeast Hainan Island in China using an upscaling method from field plots, UAV-LiDAR data and Sentinel-2 imagery
Mangroves Aboveground biomass UAV-LiDAR Sentinel-2 Random forest
2024/1/23
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 Nature Reserve. The former ...
Integrating LiDAR, Multispectral and SAR Data to Estimate and Map Canopy Height in Tropical Forests
ALOS-PALSAR dry tropical forest Landsat-8 learning algorithms moist tropical forest Sentinel-1 spatial modelling
2024/1/22
Developing accurate methods to map vegetation structure in tropical forests is essential to protect their biodiversity and improve their carbon stock estimation. We integrated LIDAR (Light Detection a...
Estimation of aboveground biomass of Robinia pseudoacacia forest in the Yellow River Delta based on UAV and Backpack LiDAR point clouds
UAV-LiDAR Backpack-LiDAR Individual tree segmentation Forest AGB The Yellow River Delta
2024/1/22
Forest plantations are an important source of terrestrial carbon sequestration. The forest of Robinia pseudoacacia in the Yellow River Delta (YRD) is the largest artificial ecological protection fores...
Estimation of Forest Structural Parameters Using UAV-LiDAR Data and a Process-Based Model in Ginkgo Planted Forests
Forestry Structural engineering Measurement Laser radar Predictive models
2024/1/19
Developing an accurate model for estimating the forest structural parameters of planted forests is crucial for forest productivity predictions and can provide a better understanding of the carbon cycl...
Democratic Republic of the Congo Tropical Forest Canopy Height and Aboveground Biomass Estimation with Landsat-8 Operational Land Imager (OLI) and Airborne LiDAR Data: The Effect of Seasonal Landsat Image Selection
Airborne LiDAR Landsat-8 tropical forest canopy height aboveground biomass Congo Basin Forest
2023/12/19
Inventories of tropical forest aboveground biomass (AGB) are often imprecise and sparse. Increasingly,?airborne?Light Detection And Ranging (LiDAR) and satellite optical wavelength sensor data are use...
Classifying wetland-related land cover types and habitats using fine-scale lidar metrics derived from country-wide Airborne Laser Scanning
Habitat classification Phragmites australis reedbed structural heterogeneity vegetation complexity wetland conservation
2023/12/19
Mapping 3D vegetation structure in wetlands is important for conservation and monitoring. Openly accessible country-wide Airborne Laser Scanning (ALS) data-using light detection and ranging (lidar) te...
Airborne LiDAR Intensity Correction Based on a New Method for Incidence Angle Correction for Improving Land-Cover Classification
airborne LiDAR intensity correction LiDAR intensity
2023/12/6
Light detection and range (LiDAR) intensity is an important feature describing the characteristics of a target. The direct use of original intensity values has limitations for users, because the same ...
Estimation of Surface Canopy Water in Pacific Northwest Forests by Fusing Radar, Lidar, and Meteorological Data
individual trees Sentinel-1 radar imagery time series Pacific Northwest
2023/12/6
Surface Canopy Water (SCW) is the intercepted rain water that resides within the tree canopy and plays a significant role in the hydrological cycle. Challenges arise in measuring?SCW?in remote areas u...
Synthesizing Disparate LiDAR and Satellite Datasets through Deep Learning to Generate Wall-to-Wall Regional Inventories for the Complex, Mixed-Species Forests of the Eastern United States
LiDAR airborne laser scanning enhanced forest inventory aboveground biomass forest carbon deep learning Maine New Hampshire Vermont Massachusetts Connecticut Rhode Island
2023/12/5
Light detection and ranging (LiDAR) has become a commonly-used tool for generating remotely-sensed forest inventories. However, LiDAR-derived forest inventories have remained uncommon at a regional sc...
UAV LiDAR Survey for Archaeological Documentation in Chiapas, Mexico
LiDAR UAV mapping archaeology Mesoamerica
2023/12/5
Airborne laser scanning has proven useful for rapid and extensive documentation of historic cultural landscapes after years of applications mapping natural landscapes and the built environment. The re...
Revealing the Structure and Composition of the Restored Vegetation Cover in Semi-Arid Mine Dumps Based on LiDAR and Hyperspectral Images
ecological restoration hierarchical classification vegetation structure LiDAR vegetation species
2023/12/1
Remotely sensed images with low resolution can be effectively used for the large-area monitoring of vegetation restoration, but are unsuitable for accurate small-area monitoring. This limits researche...
Using Airborne Lidar, Multispectral Imagery, and Field Inventory Data to Estimate Basal Area, Volume, and Aboveground Biomass in Heterogeneous Mixed Species Forests: A Case Study in Southern Alabama
laser forestry allometry parametric non-parametric modeling 3DEP Alabama
2023/11/30
Airborne light detection and ranging (lidar) has proven to be a useful data source for estimating forest inventory metrics such as basal area (BA), volume, and aboveground biomass (AGB) and for produc...
Integrating UAV-SfM and Airborne Lidar Point Cloud Data to Plantation Forest Feature Extraction
UAV-ALS point cloud georeferencing improved ICP via invariant ground surface feature tree parameterization airborne lidar sensing UAV optical sensing sustainable timber production
2023/11/30
A low-cost but accurate remote-sensing-based forest-monitoring tool is necessary for regularly inventorying tree-level parameters and stand-level attributes to achieve sustainable management of timber...
New Opportunities for Forest Remote Sensing Through Ultra-High-Density Drone Lidar
Drone Global Ecosystem Dynamics Investigation (GEDI) Lidar Remote sensing UAV
2024/2/5
Current and planned space missions will produce aboveground biomass density data products at varying spatial resolution. Calibration and validation of these data products is critically dependent on th...
The use of fixed-wing UAV photogrammetry with LiDAR DTM to estimate merchantable volume and carbon stock in living biomass over a mixed conifer-broadleaf forest
UAV photogrammetry LiDAR DTM estimate merchantable volume carbon stock mixed conifer-broadleaf forest
2024/2/28
Remote sensing (RS) data are often used as a complementary data source to acquire accurate quantitative estimations of merchantable volume (V) and carbon stock in living biomass (CST), which are criti...