An integrated approach for post-disaster flood management via the use of cutting-edge technologies and UAVs: A review
Rapid advances that improve flood management have facilitated the disaster response by
providing first aid services, finding safe routes, maintaining communication and develo** …
providing first aid services, finding safe routes, maintaining communication and develo** …
[HTML][HTML] Estimating and map** forest age across Canada's forested ecosystems
Forest age is an important variable for assessments of biodiversity and habitat, sustainable
forest and land management, as well as forest carbon science and modeling. Tree and …
forest and land management, as well as forest carbon science and modeling. Tree and …
An assessment of high-density UAV point clouds for the measurement of young forestry trials
The measurement of forestry trials is a costly and time-consuming process. Over the past few
years, unmanned aerial vehicles (UAVs) have provided some significant developments that …
years, unmanned aerial vehicles (UAVs) have provided some significant developments that …
[HTML][HTML] Improved estimation of forest stand volume by the integration of GEDI LiDAR data and multi-sensor imagery in the Changbai Mountains Mixed forests …
Forest stand volume is a vital indicator of productivity and carbon storage. Conventionally,
stand volume is estimated from field samples, Synthetic Aperture Radar (SAR), and optical …
stand volume is estimated from field samples, Synthetic Aperture Radar (SAR), and optical …
A modified KNN method for map** the leaf area index in arid and semi-arid areas of China
As an important vegetation canopy parameter, the leaf area index (LAI) plays a critical role in
forest growth modeling and vegetation health assessment. Estimating LAI is helpful for …
forest growth modeling and vegetation health assessment. Estimating LAI is helpful for …
Evaluation of prescribed fires from unmanned aerial vehicles (UAVs) imagery and machine learning algorithms
LA Pérez-Rodríguez, C Quintano, E Marcos… - Remote Sensing, 2020 - mdpi.com
Prescribed fires have been applied in many countries as a useful management tool to
prevent large forest fires. Knowledge on burn severity is of great interest for predicting post …
prevent large forest fires. Knowledge on burn severity is of great interest for predicting post …
Modelling and predicting the growing stock volume in small-scale plantation forests of Tanzania using multi-sensor image synergy
EW Mauya, J Koskinen, K Tegel, J Hämäläinen… - Forests, 2019 - mdpi.com
Remotely sensed assisted forest inventory has emerged in the past decade as a robust and
cost efficient method for generating accurate information on forest biophysical parameters …
cost efficient method for generating accurate information on forest biophysical parameters …
[HTML][HTML] EcoDes-DK15: High-resolution ecological descriptors of vegetation and terrain derived from Denmark's national airborne laser scanning data set
Biodiversity studies could strongly benefit from three-dimensional data on ecosystem
structure derived from contemporary remote sensing technologies, such as light detection …
structure derived from contemporary remote sensing technologies, such as light detection …
Effects of model-overfit on model-assisted forest inventory in boreal forests with remote sensing data
While remote sensing can be an effective tool in building a forest inventory, field
measurements and model fitting can be both expensive and challenging. One strategy to …
measurements and model fitting can be both expensive and challenging. One strategy to …
China's larch stock volume estimation using Sentinel-2 and LiDAR data
T Yu, Y Pang, X Liang, W Jia, Y Bai, Y Fan… - Geo-spatial …, 2023 - Taylor & Francis
ABSTRACT Forest Stock Volume (FSV) is one of the key indicators in forestry resource
investigation and management on local, regional, and national scales. Limited by the …
investigation and management on local, regional, and national scales. Limited by the …