The third term of a Pauli decomposition, gamma², shows volume scattering and is proportional to the HV band. The alpha² channel shows single or odd-bounce scattering while the beta² channel shows double or even-bounce scattering. We chose to work with the Pauli decomposition because it provides simple but valuable descriptive statistics about the surface. Decomposition methods like the one we applied in the figure below can show different types of backscatter and can be useful for discerning between different types of objects or land cover on the ground. The georeferenced MAG-POL data has a base resolution of 0.25m and contains 4 channels of SAR magnitude (intensity) (1: HH, 2: HV, 3: VH, 4: VV) as well as 2 channels (5: alpha² & 6: beta²) created from a Pauli polarimetric decomposition process. The rightmost image features the SpaceNet 6 building footprints colorized in white. Magnitude SAR data (HH Intensity, VV Intensity, HV Intensity) from the Capella Space sensor. The extent of these image strips covers a large portion of Rotterdam and 120 km² of total area, with each strip spanning approximately 0.7 km by 10 km. Many of these strips overlap to create a dense stack of SAR data with multiple revisits spanning a three day time period in August 2019. We ultimately release 202 unique image strips with two different processing levels: georeferenced magnitude and polarimetry (MAG-POL) data and Single Look Complex (SLC) data. aws s3 ls s3://spacenet-dataset/AOIs/AOI_11_Rotterdam/ The SAR DatasetĪll of the SAR data comes from Capella Space’s X-band quad-pol sensor mounted on an aircraft.
#TOPCODER SPACENET FULL#
Once you’ve done that, you can query the full dataset using the command below and download your components of interest. You can explore and download the data now, all you need is an AWS account and the AWS CLI installed and configured. We believe this dataset will continue to further research and advance remote sensing analytics beyond the optical spectrum and into the SAR modality. Complimentary to our SAR data, we also release our untiled Maxar WorldView 2 image spanning ~92 km² at 0.5m spatial resolution. The decomposition channels show different types of scattering behavior. We distribute 202 SAR image strips in two formats: one with minimal pre-processing (Single Look Complex) as well as a second set of new six-band georeferenced products that include 4 channels of intensity and 2 channels derived from a Pauli decomposition. The SAR data in particular is one-of-kind and the first openly licensed dataset to feature quad-polarized imagery at 0.25m spatial resolution over such a vast extent. The expanded version is unique and features a combination of Capella Space Synthetic Aperture Radar (SAR) and Maxar WorldView 2 imagery. Today the SpaceNet partners are pleased to announce the release of the EXPANDED version of the SpaceNet 6 dataset over the port of Rotterdam, the Netherlands. SpaceNet is run in collaboration by co-founder and managing partner, CosmiQ Works, co-founder and co-chair, Maxar Technologies, and our partners including Amazon Web Services (AWS), Capella Space, Topcoder, IEEE GRSS, the National Geospatial-Intelligence Agency and Planet. Preface: SpaceNet LLC is a nonprofit organization dedicated to accelerating open source, artificial intelligence applied research for geospatial applications, specifically foundational mapping (i.e., building footprint & road network detection).
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