Overview of the ImageCLEF 2017 Population Estimation (Remote) Task

Estimating population has many applications as planning disaster responses, communication infrastructure, or development activities. In 2017, ImageCLEF Lab introduced a new pilot task: the Population Estimation (or Remote) task which aims at estimating the population of an area of interest by exploring Copernicus earth observation data (i.e. free Sentinel-2 satellite images). In line with the goal of FabSpace 2.0 project, a European Unions initiative to bring Geo-Enthusiast together around the 6 European universities in collaboration with Business Incubation Centers, participated to this challenge. This paper presents the results that were obtained by the participants as well as a brief summary of some of the approaches that were used

Sentinel-3 Altimetry satellite imagery for Inland Water Altimetry Monitoring

Sentinel-3 Altimetry satellite imagery for Inland Water Altimetry Monitoring</p

Sentinel-1 Radar satellite imagery for Land Subsidence Monitoring

Sentinel-1 Radar satellite imagery for Land Subsidence Monitoring</p

Sentinel-2 Satellite Imagery Based Forest Fire Monitoring

Forest Fire in Villages near Berlin - Normalized Burn Ratio (NBR) Villages in Treuenbrietzen (Frohnsdorf, Klausdorf and Tiefenbrunnen) around 50 km southwest of Berlin have been severely affected by recent unpredicted wildfire and the size of the burned area is about of 400 hectares, which started to spread on 23rd of August, 2018. More than 500 people had to leave their homes as a result of the fire in Treuenbrietzen and the burning fire with dense smoke continued for days. This year Europe has faced a long hot dry summer with almost no rain and as a consequence some European countries like Germany are on high alert regarding possible forest fires.</p

Sentinel-1 Satellite Imagery Based Ice Road Detection and Monitoring

Canada’s northern ice roads in winter which is more than 3300 miles are freezing later and melting earlier, drastically reducing the forecasting capabilities for the safe use. An attractive Area of Interest (AoI) could be around the region “Yellowknife” in Canada, which is also mentioned in the recent TV show (https://en.wikipedia.org/wiki/Ice_Road_Truckers). This area could be used to train the algorithm to detect the current situation and to forecast the time window to close and open the ice tracks to the citizens. Mockup could be achieved by building a screenshot mockup on mobile device (Smartphone/Tablet).</p

Sentinel-2 Optical satellite imagery for Epidemic Disease Mapping

Sentinel-2 Optical satellite imagery for Epidemic Disease Mapping</p

Improve air quality in Cities - Simulation of Sentinel-5p and Breeze Technologies

The number of measuring stations in cities areinsufficient to get a realistic picture about the Air quality (AQ). The existing technique is too expensive and wastes too much limited urban space due to their dimensions. Therefore, the Breeze Technology helps to overcome this data gap by offering their own compact low-cost AQ sensors as a supplement to the existing station. To improve the spatial coverage of the measurement, Sentinel-5P data was simulated with the sensor based measured data. The accuracy will be further increased by integrating satellite data to predict pollutuíon level e.g. in areas without sensors to overcome measurement gaps.</p

Overview of the ImageCLEF 2017 Population Estimation (Remote) Task

International audienceEstimating population has many applications as planning disaster responses, communication infrastructure, or development activities. In 2017, ImageCLEF Lab introduced a new pilot task: the Population Estimation (or Remote) task which aims at estimating the population of an area of interest by exploring Copernicus earth observation data (i.e. free Sentinel-2 satellite images). In line with the goal of FabSpace 2.0 project, a European Unions initiative to bring Geo-Enthusiast together around the 6 European universities in collaboration with Business Incubation Centers, participated to this challenge. This paper presents the results that were obtained by the participants as well as a brief summary of some of the approaches that were used

A Semi-Automatic Classification Approach for River Shape Extraction from Sentinel-2 Imagery

To extract the river from satellite imagery, at first we have to classify the waterbody from satellite imagery. Then we will differentiate the river from waterbody. We have used three different techniques to classify the waterbody from satellite imagery. At first, pixel based iso-cluster unsupervised classification was used to classify the waterbody in Sentinel 2 imagery. We excluded the supervised classification in decided methodology as we are interested about automatic process of river extraction. Then we have used Segment mean shift classification tool as image segmentation techniques. Indices based NDWI (Normalize difference water indices) classification was also used in this research.</p

Overview of the ImageCLEF 2017 Population Estimation (Remote) Task

International audienceEstimating population has many applications as planning disaster responses, communication infrastructure, or development activities. In 2017, ImageCLEF Lab introduced a new pilot task: the Population Estimation (or Remote) task which aims at estimating the population of an area of interest by exploring Copernicus earth observation data (i.e. free Sentinel-2 satellite images). In line with the goal of FabSpace 2.0 project, a European Unions initiative to bring Geo-Enthusiast together around the 6 European universities in collaboration with Business Incubation Centers, participated to this challenge. This paper presents the results that were obtained by the participants as well as a brief summary of some of the approaches that were used