An integrated approach for post-disaster flood management via the use of cutting-edge technologies and UAVs: A review

HS Munawar, AWA Hammad, ST Waller, MJ Thaheem… - Sustainability, 2021 - mdpi.com
Rapid advances that improve flood management have facilitated the disaster response by
providing first aid services, finding safe routes, maintaining communication and develo** …

[HTML][HTML] Estimating and map** forest age across Canada's forested ecosystems

JC Maltman, T Hermosilla, MA Wulder… - Remote Sensing of …, 2023 - Elsevier
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 …

An assessment of high-density UAV point clouds for the measurement of young forestry trials

RJL Hartley, EM Leonardo, P Massam, MS Watt… - Remote Sensing, 2020 - mdpi.com
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 …

[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 …

L Chen, C Ren, B Zhang, Z Wang, M Liu, W Man… - International Journal of …, 2021 - Elsevier
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 …

A modified KNN method for map** the leaf area index in arid and semi-arid areas of China

F Jiang, AR Smith, M Kutia, G Wang, H Liu, H Sun - Remote sensing, 2020 - mdpi.com
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 …

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 …

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 …

[HTML][HTML] EcoDes-DK15: High-resolution ecological descriptors of vegetation and terrain derived from Denmark's national airborne laser scanning data set

JJ Assmann, JE Moeslund, UA Treier… - Earth System Science …, 2022 - essd.copernicus.org
Biodiversity studies could strongly benefit from three-dimensional data on ecosystem
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

DN Cosenza, S Saarela, J Strunk… - … Journal of Forest …, 2024 - academic.oup.com
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 …

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 …