ML4EO 2024 -Picture challenge
Participation 1.
Method: The image was created in Qgis, importing tiles generated through fAIr by mapping the buildings in OpenStreetmap.
Subject: The image depicts buildings footprints in a densely built area in Montevideo, Uruguay (-34.907494668295804, -56.201606705113875). The colors are automatically generated by Qgis for each shapefile of the tiles, which are 256x256 in size, and represent labe
Participation 2.
Participation 3.
Method Used: Image Classification on Google Earth Engine. Data streamed from Copernicus Sentinel 2
The image depicts the output of the image classification model on 250 sq mi of Maasai wilderness in northern Tanzania, identifying the locations of housing units of the oldest tribe in the world. It also depicts nearby water sources.
The visualization shows 488 units across 250 sq miles
Participation 4.
Method : Performed spatial and network analysis to determine four walk time areas from Streatham campus, drawn with progressively less transparency.
Description : Where can we walk from Streatham campus in 20, 40, 60, 120 minutes? A walking speed of 5 km/hr along paths and roads that allow pedestrian access from Streatham campus produces these walk time areas. The shapes are determi
Participation 5.
The image was taken by a DJI Mavic 2 Pro drone during a survey that we carried out at Seatown (Dorset), UK. It shows a large landslide that took place on 19h April 2021. What you can clearly see in the image are the range of terrestrial and marine processes that have been acting on this stretch of coast, as well as the geological formations that make up the cliff face. In the lower
Participation 6.
Method Used to Create the Visual: The image was created by an artist (Soumita Samanta) using digital art software (Procreate). It was a result of collaborative effort of combining scientific data (my research) and artistic interpretation for the purpose of a press release.
**What the Image Depicts and How It Should Be Interpreted:**
The image depicts an artistic impression of an exo
Participation 7.
The image depicted the changes in the landcover green clolr through the satellite imagery and how the cultivated land and the grassed land has different range of colours also at the same green land how the spectral bands changed near the Seaside in the coastal area.We've built a platform that's packed with features designed to make your experience on ml4eo.org as enjoyable and engaging as possible. From personalized recommendations to real-time chat, we've got you covered.