Landslide detection, monitoring and prediction with remote-sensing techniques
Landslides are widespread occurrences that can become catastrophic when they occur near
settlements and infrastructure. Detection, monitoring and prediction are fundamental to …
settlements and infrastructure. Detection, monitoring and prediction are fundamental to …
[HTML][HTML] Deep learning for geological hazards analysis: Data, models, applications, and opportunities
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 …
environment, geological hazards tend to wreak havoc on the environment and human …
Applications of artificial intelligence for disaster management
Natural hazards have the potential to cause catastrophic damage and significant
socioeconomic loss. The actual damage and loss observed in the recent decades has …
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 …
Observation (EO) systems for monitoring land surface dynamics. The former is frequently …
A review of UAV platforms, sensors, and applications for monitoring of sugarcane crops
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 …
sensing (RS) in precision agricultural practices have been critical in enhancing crop health …
[HTML][HTML] Landslide failures detection and mapping using Synthetic Aperture Radar: Past, present and future
Landslides are geomorphological processes that shape the landscapes of all continents,
dismantling mountains and contributing sediments to the river networks. Caused by …
dismantling mountains and contributing sediments to the river networks. Caused by …
[HTML][HTML] Forecasting the time of failure of landslides at slope-scale: A literature review
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 …
can mitigate the effects of slope failures in terms of both human lives and economic losses …
Emerging UAV technology for disaster detection, mitigation, response, and preparedness
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 …
in research groups due to the wide range of applications, such as disaster surveillance and …
Predicting canopy chlorophyll content in sugarcane crops using machine learning algorithms and spectral vegetation indices derived from UAV multispectral imagery
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 …
techniques have been successfully utilized to evaluate the chlorophyll content for the …
Insights from the failure and dynamic characteristics of two sequential landslides at Baige village along the Jinsha River, China
The focus of this paper is on two large sequential landslides which formed a dam and the
resulting lake that occurred along the Jinsha River on October 11 and November 3, 2018 …
resulting lake that occurred along the Jinsha River on October 11 and November 3, 2018 …