Landslide detection, monitoring and prediction with remote-sensing techniques

N Casagli, E Intrieri, V Tofani, G Gigli… - Nature Reviews Earth & …, 2023 - nature.com
Landslides are widespread occurrences that can become catastrophic when they occur near
settlements and infrastructure. Detection, monitoring and prediction are fundamental to …

[HTML][HTML] Deep learning for geological hazards analysis: Data, models, applications, and opportunities

Z Ma, G Mei - Earth-Science Reviews, 2021 - Elsevier
As natural disasters are induced by geodynamic activities or abnormal changes in the
environment, geological hazards tend to wreak havoc on the environment and human …

[HTML][HTML] Advancement of remote sensing for soil measurements and applications: A comprehensive review

MI Abdulraheem, W Zhang, S Li, AJ Moshayedi… - Sustainability, 2023 - mdpi.com
Remote sensing (RS) techniques offer advantages over other methods for measuring soil
properties, including large-scale coverage, a non-destructive nature, temporal monitoring …

Applications of artificial intelligence for disaster management

W Sun, P Bocchini, BD Davison - Natural Hazards, 2020 - Springer
Natural hazards have the potential to cause catastrophic damage and significant
socioeconomic loss. The actual damage and loss observed in the recent decades has …

UAV & satellite synergies for optical remote sensing applications: A literature review

E Alvarez-Vanhard, T Corpetti, T Houet - Science of remote sensing, 2021 - Elsevier
Unmanned aerial vehicles (UAVs) and satellite constellations are both essential Earth
Observation (EO) systems for monitoring land surface dynamics. The former is frequently …

[HTML][HTML] Landslide failures detection and map** using Synthetic Aperture Radar: Past, present and future

AC Mondini, F Guzzetti, KT Chang, O Monserrat… - Earth-Science …, 2021 - Elsevier
Landslides are geomorphological processes that shape the landscapes of all continents,
dismantling mountains and contributing sediments to the river networks. Caused by …

Emerging UAV technology for disaster detection, mitigation, response, and preparedness

A Khan, S Gupta, SK Gupta - Journal of Field Robotics, 2022 - Wiley Online Library
Abstract In recent years, Unmanned Aerial Vehicles (UAVs) have gained significant interest
in research groups due to the wide range of applications, such as disaster surveillance and …

A review of UAV platforms, sensors, and applications for monitoring of sugarcane crops

N Amarasingam, ASA Salgadoe, K Powell… - Remote Sensing …, 2022 - Elsevier
Recent advancements in the application of unmanned aerial vehicles (UAVs) based remote
sensing (RS) in precision agricultural practices have been critical in enhancing crop health …

[HTML][HTML] Forecasting the time of failure of landslides at slope-scale: A literature review

E Intrieri, T Carlà, G Gigli - Earth-science reviews, 2019 - Elsevier
Forecasting the time of failure of landslides at slope-scale is a difficult yet important task that
can mitigate the effects of slope failures in terms of both human lives and economic losses …

Predicting canopy chlorophyll content in sugarcane crops using machine learning algorithms and spectral vegetation indices derived from UAV multispectral imagery

A Narmilan, F Gonzalez, ASA Salgadoe… - Remote Sensing, 2022 - mdpi.com
The use of satellite-based Remote Sensing (RS) is a well-developed field of research. RS
techniques have been successfully utilized to evaluate the chlorophyll content for the …