![]() The area of interest for this challenge will be centered over the largest port in Europe: Rotterdam, the Netherlands. This openly-licensed dataset features a unique combination of half-meter Synthetic Aperture Radar (SAR) imagery from Capella Space and half-meter electro-optical (EO) imagery from Maxar’s WorldView 2 satellite. The task of SpaceNet 6 is to automatically extract building footprints with computer vision and artificial intelligence (AI) algorithms using a combination of SAR and electro-optical imagery datasets. However, despite these advantages, there is limited open data available to researchers to explore the effectiveness of SAR for such applications, particularly at ultra-high resolutions. Overhead collects from SAR satellites could be particularly valuable in the quest to aid disaster response in instances where weather and cloud cover can obstruct traditional electro-optical sensors. csv file.Synthetic Aperture Radar (SAR) is a unique form of radar that can penetrate clouds, collect during all- weather conditions, and capture data day and night. The “Preview” tab in right pane will show you a quick preview of the data points, after you click on. Open “QGIS Browser” on your computer and use the left pane to browse to the directory that contains SpaceNet data.You can use QGIS Browser to have a quick look at your geospatial data. Similar to what ArcCatalog is for ArcGIS, QGIS Browser is the standalone visualization application in QGIS that comes bundled with default QGIS installation. QGIS is a free, open-source cross-platform software for viewing, editing, and analyzing geospatial data. Also, I will use QGIS software to visualize vector and raster data of SpaceNet. As an example, I am going to visualize the sample data available in the SpaceNet dataset. Visualizing data is a good way to familiarize yourself with the nature of quality of your dataset. You can use aws-cli to download the datasets by following these instructions. ![]() SpaceNet dataset is available on AWS in “ Requester Pays” S3 buckets, meaning that the requester instead of the bucket owner pays the cost of the request and the data download from the bucket. Note that the vector data is, understandably so, available only for training datasets. The CSV provides the coordinates of the vertices of the building footprint (polygons) as latitude and longitude in the same map projection as the images, and the GeoJSON provides this same information in pixel coordinates relative to the image.ĬSV files are present in “ summaryData” directory and GeoJSON files are present in “ geojson/buildings” for buildings’ labels or inside “ geojson/spacenetroads” for roads’ labels. Vector data, such as building footprints, are provided in SpaceNet dataset in both CSV and GeoJSON formats. Near Infrared (NIR) bands 1 & 2 can be used to perform NIR spectroscopy, whose applications include investigating plant health, soil conditions and atmospheric analysis. The significance of this channel is that Chlorophyll is transparent to wavelengths > 700nm, leading to nicer application for vegetative analysis. The Red-Edge (705–745nm) provides wavelengths of light just beyond the Red wavelengths. Separating Yellow and also including Coastal Blue bands allow for novel feature extraction such as vegetative analysis by providing “yellower” and “bluer” information of objects. The data generated from each satellite varies in terms of features such as resolution, geolocational accuracy etc.Īpplication areas for different spectral bands (NOTE: SpaceNet dataset doesn’t include SWIR and CAVIS bands)Īs you can see in the above image, the RGB bands in 8-band images do not include Yellow band. The satellites include QuickBird, GeoEye-1 and the WorldView Series (WorldView-1, WorldView-2, WorldView-3 and WorldView-4). Digital Globe owns a “constellation” of satellites that capture high quality remote sensing imagery. The satellite imagery is provided by Digital Globe, an American vendor of space imagery and geospatial content. In order to better understand the dataset, it is helpful to know from where the data is sourced. CosmiQ Works, Radiant Solutions and NVIDIA have partnered to release the SpaceNet data set to the public in order to foster innovation in the field of computer vision with algorithms that can automatically extract geometric features such as roads, buildings etc. This imagery is accompanied by labelled information that can be used to train machine learning models. SpaceNet is a publicly available dataset containing commercial satellite imagery.
0 Comments
Leave a Reply. |