A comprehensive review of applications of drone technology in the mining industry

J Shahmoradi, E Talebi, P Roghanchi, M Hassanalian - Drones, 2020 - mdpi.com
This paper aims to provide a comprehensive review of the current state of drone technology
and its applications in the mining industry. The mining industry has shown increased interest …

A comprehensive review on recent applications of unmanned aerial vehicle remote sensing with various sensors for high-throughput plant phenotyping

L Feng, S Chen, C Zhang, Y Zhang, Y He - Computers and electronics in …, 2021 - Elsevier
High-throughput phenotyping has been widely studied in plant science to monitor plant
growth and analyze the influence of genotypes and environment on plant growth. To meet …

Multi-sensor remote sensing for drought characterization: current status, opportunities and a roadmap for the future

W Jiao, L Wang, MF McCabe - Remote Sensing of Environment, 2021 - Elsevier
Satellite based remote sensing offers one of the few approaches able to monitor the spatial
and temporal development of regional to continental scale droughts. A unique element of …

The use of unmanned aerial vehicles (UAVs) for engineering geology applications

D Giordan, MS Adams, I Aicardi, M Alicandro… - Bulletin of Engineering …, 2020 - Springer
This paper represents the result of the IAEG C35 Commission “Monitoring methods and
approaches in engineering geology applications” workgroup aimed to describe a general …

Unmanned aerial vehicle for internet of everything: Opportunities and challenges

Y Liu, HN Dai, Q Wang, MK Shukla, M Imran - Computer communications, 2020 - Elsevier
The recent advances in information and communication technology (ICT) have further
extended Internet of Things (IoT) from the sole “things” aspect to the omnipotent role of …

A review on the use of unmanned aerial vehicles and imaging sensors for monitoring and assessing plant stresses

JGA Barbedo - Drones, 2019 - mdpi.com
Unmanned aerial vehicles (UAVs) are becoming a valuable tool to collect data in a variety of
contexts. Their use in agriculture is particularly suitable, as those areas are often vast …

[HTML][HTML] High-resolution mapping of forest canopy height using machine learning by coupling ICESat-2 LiDAR with Sentinel-1, Sentinel-2 and Landsat-8 data

W Li, Z Niu, R Shang, Y Qin, L Wang, H Chen - International Journal of …, 2020 - Elsevier
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 …

Forestry remote sensing from unmanned aerial vehicles: A review focusing on the data, processing and potentialities

N Guimarães, L Pádua, P Marques, N Silva, E Peres… - Remote Sensing, 2020 - mdpi.com
Currently, climate change poses a global threat, which may compromise the sustainability of
agriculture, forestry and other land surface systems. In a changing world scenario, the …

Mini-UAV-borne hyperspectral remote sensing: From observation and processing to applications

Y Zhong, X Wang, Y Xu, S Wang, T Jia… - … and Remote Sensing …, 2018 - ieeexplore.ieee.org
In recent years, with the rapid development of unmanned aerial vehicles (UAVs) and
lightweight hyperspectral imaging (HSI) sensors, mini-UAV-borne hyperspectral remote …

Remote sensing of dryland ecosystem structure and function: Progress, challenges, and opportunities

WK Smith, MP Dannenberg, D Yan, S Herrmann… - Remote Sensing of …, 2019 - Elsevier
Drylands make up roughly 40% of the Earth's land surface, and billions of people depend on
services provided by these critically important ecosystems. Despite their relatively sparse …