Wildfire monitoring using satellite images, ontologies and linked geospatial data
K Kyzirakos, M Karpathiotakis, G Garbis… - Journal of Web …, 2014 - Elsevier
Advances in remote sensing technologies have allowed us to send an ever-increasing
number of satellites in orbit around Earth. As a result, Earth Observation data archives have …
number of satellites in orbit around Earth. As a result, Earth Observation data archives have …
Managing big, linked, and open earth-observation data: Using the teleios\/leo software stack
M Koubarakis, K Kyzirakos, C Nikolaou… - … and Remote Sensing …, 2016 - ieeexplore.ieee.org
Big Earth-observation (EO) data that are made freely available by space agencies come
from various archives. Therefore, users trying to develop an application need to search …
from various archives. Therefore, users trying to develop an application need to search …
A geospatial ontological model for remote sensing scene semantic knowledge mining for the flood disaster
Numerous remote sensing applications-flood monitoring, forest fires monitoring, earthquake
analysis etc. require users to query satellite images based on their content. Such …
analysis etc. require users to query satellite images based on their content. Such …
Real-time wildfire monitoring using scientific database and linked data technologies
We present a real-time wildfire monitoring service that exploits satellite images and linked
geospatial data to detect hotspots and monitor the evolution of fire fronts. The service makes …
geospatial data to detect hotspots and monitor the evolution of fire fronts. The service makes …
A data science pipeline for big linked earth observation data
The science of Earth observation uses satellites and other sensors to monitor our planet, eg,
for mitigating the effects of climate change. Earth observation data collected by satellites is a …
for mitigating the effects of climate change. Earth observation data collected by satellites is a …
An observation capability semantic-associated approach to the selection of remote sensing satellite sensors: a case study of flood observations in the Jinsha River …
Observation schedules depend upon the accurate understanding of a single sensor's
observation capability and the interrelated observation capability information on multiple …
observation capability and the interrelated observation capability information on multiple …
Semantic data layers in air quality monitoring for smarter cities
Air pollution is one of the key indicators for quality of life in urban environments, and is also
the subject of global health concern, given the number of mortal diseases associated to …
the subject of global health concern, given the number of mortal diseases associated to …
Performance analysis and optimization for scalable deployment of deep learning models for country‐scale settlement mapping on Titan supercomputer
This paper presents a scalable object detection workflow for detecting objects, such as
settlements, from remotely sensed (RS) imagery. We have successfully deployed this …
settlements, from remotely sensed (RS) imagery. We have successfully deployed this …
Toward self-monitoring smart cities: the opensense2 approach
The sustained growth of urban settlements in the last years has had an inherent impact on
the environment and the quality of life of their inhabitants. In order to support sustainability …
the environment and the quality of life of their inhabitants. In order to support sustainability …
Beyond the lambda architecture: Effective scheduling for large scale eo information mining and interactive thematic mapping
As per the 2013 EOSDIS annual metrics report 1, Petabyte-scale Earth Observation (EO)
raster data archive volumes are growing at rates of about ten Gigabytes per day while …
raster data archive volumes are growing at rates of about ten Gigabytes per day while …