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Canopy Temperature Differences between Liana-Infested and Non-Liana Infested Areas in a Neotropical Dry Forest
lianas temperature difference thermal infrared remote sensing unmanned?aerial?vehicle?system tropical dry?forest
2024/1/23
Lianas (woody vines) are important non-structural elements of all tropical forests. Current field observations across the Neotropics suggest that liana abundance is rising as a result of?forest?distur...
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...
Forests Growth Monitoring Based on Tree Canopy 3D Reconstruction Using UAV Aerial Photogrammetry
UAV aerial photography forest monitoring canopy 3D model
2024/1/22
Land cover monitoring is a major task for remote sensing. Compared to traditional methods of forests monitoring which mostly use orthophotography from satellites or aircraft, there is very little rese...
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...
Assessment of an improved individual tree detection method based on local-maximum algorithm from unmanned aerial vehicle RGB imagery in overlapping canopy mountain forests
CROWN DETECTION POINT CLOUDS UAV IMAGERY SEGMENTATION DELINEATION LIDAR INVENTORY HEIGHT FIELD
2023/12/15
Low consumer-grade cameras attached to small unmanned aerial vehicles (UAV) can easily acquire high spatial resolution images, leading to convenient forest monitoring at small-scales for forest manage...
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...
An Improved Generalized Hierarchical Estimation Framework with Geostatistics for Mapping Forest Parameters and Its Uncertainty: A Case Study of Forest Canopy Height
forest up-scaling regression kriging uncertainty LiDAR
2023/12/1
Forest canopy height is an essential parameter in estimating forest aboveground biomass (AGB), growing stock volume (GSV), and carbon storage, and it can provide necessary information in forest manage...
Unmanned?aerial?vehicles (UAV)-based canopy height modeling under leaf-on and leaf-off conditions for determining tree height and crown diameter (case study: Hyrcanian mixed?forest)
canopy height model digital elevation model forest inventory unmanned aerial vehicles (UAVs) tree crown architecture
2023/12/1
Tree height and crown diameter are two common individual tree attributes that can be estimated from unmanned aerial vehicle (UAV) images thanks to photogrammetry and structure from motion. This resear...
Stand Canopy Closure Estimation in Planted Forests Using a Geometric-Optical Model Based on Remote Sensing
canopy closure the GOST model fisheye camera photos transects LAI
2023/11/30
Canopy closure, which is the ratio of the vertical projection area of the crowns to the area of forest land, can indicate the growth and tending situation of a forest and is of great significance for ...
Analysis of the accuracy of GPS Trimble JUNO ST measurement in the conditions of forest canopy
forest canopy impact GPS GPS device accuracy location precision mean square error Trimble JUNO ST
2015/3/20
GPS Trimble JUNO ST was tested at 16 points under forest canopy. The measurements were done on three different dates of the growing seasons in 2007 and 2008. On each date, 4 recordings were measured i...
Influence of Parameters and Light Environment under the Canopy on the Fuel Moisture Estimation Model
fuels on forest floor litter moisture ratio solar radiation on forest floor
2009/8/28
Model parameterization was performed for estimation of the fuel moisture in adjacent plots with different tree species aiming at the mapping of forest fire hazard. One plot was covered with only decid...