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Detecting, extracting, and monitoring surface water from space using optical sensors: A review
Observation of surface water is a functional requirement for studying ecological and
hydrological processes. Recent advances in satellite‐based optical remote sensors have …
hydrological processes. Recent advances in satellite‐based optical remote sensors have …
Computer vision for SHM of civil infrastructure: From dynamic response measurement to damage detection–A review
To address the limitations of current sensor systems for field applications, the research
community has been actively exploring new technologies that can advance the state-of-the …
community has been actively exploring new technologies that can advance the state-of-the …
A hybrid artificial intelligence approach using GIS-based neural-fuzzy inference system and particle swarm optimization for forest fire susceptibility modeling at a …
This paper proposes and validates a novel hybrid artificial intelligent approach, named as
Particle Swarm Optimized Neural Fuzzy (PSO-NF), for spatial modeling of tropical forest fire …
Particle Swarm Optimized Neural Fuzzy (PSO-NF), for spatial modeling of tropical forest fire …
A vision-based sensor for noncontact structural displacement measurement
Conventional displacement sensors have limitations in practical applications. This paper
develops a vision sensor system for remote measurement of structural displacements. An …
develops a vision sensor system for remote measurement of structural displacements. An …
[HTML][HTML] Deep neural network utilizing remote sensing datasets for flood hazard susceptibility map** in Brisbane, Australia
Large damages and losses resulting from floods are widely reported across the globe. Thus,
the identification of the flood-prone zones on a flood susceptibility map is very essential. To …
the identification of the flood-prone zones on a flood susceptibility map is very essential. To …
A spatial assessment framework for evaluating flood risk under extreme climates
Australian coal mines have been facing a major challenge of increasing risk of flooding
caused by intensive rainfall events in recent years. In light of growing climate change …
caused by intensive rainfall events in recent years. In light of growing climate change …
Flood severity map** from Volunteered Geographic Information by interpreting water level from images containing people: A case study of Hurricane Harvey
With increasing urbanization, in recent years there has been a growing interest and need in
monitoring and analyzing urban flood events. Social media, as a new data source, can …
monitoring and analyzing urban flood events. Social media, as a new data source, can …