SpaceNet 6: Expanded Dataset Release

Jake Shermeyer
Sep 23, 2020 · 5 min read

By Jake Shermeyer and Daniel Hogan

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). 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.

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. The expanded version is unique and features a combination of Capella Space Synthetic Aperture Radar (SAR) and Maxar WorldView 2 imagery.

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. 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 decomposition channels show different types of scattering behavior. Complimentary to our SAR data, we also release our untiled Maxar WorldView 2 image spanning ~92 km² at 0.5m spatial resolution. We believe this dataset will continue to further research and advance remote sensing analytics beyond the optical spectrum and into the SAR modality.

You can explore and download the data now, all you need is an AWS account and the AWS CLI installed and configured. Once you’ve done that, you can query the full dataset using the command below and download your components of interest.

aws s3 ls s3://spacenet-dataset/AOIs/AOI_11_Rotterdam/

The SAR Dataset

Magnitude SAR data (HH Intensity, VV Intensity, HV Intensity) from the Capella Space sensor. The rightmost image features the SpaceNet 6 building footprints colorized in white.

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. 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. We chose to work with the Pauli decomposition because it provides simple but valuable descriptive statistics about the surface. The alpha² channel shows single or odd-bounce scattering while the beta² channel shows double or even-bounce scattering. The third term of a Pauli decomposition, gamma², shows volume scattering and is proportional to the HV band. All MAG-POL data was directly created from the SLC data using a pipeline from our preprocessing SAR library contained in Solaris. The full pipeline can be found here and modified for any end-users needs.

A comparison of different channels contained in the SAR MAG-POL data. Left: SAR Magnitude (Red = HH Intensity, Green = VV Intensity, Blue = HV Intensity). Right: SAR Polarimetry derived from a Pauli Decomposition (Red = Beta², Green = Gamma², Blue = Alpha²). Gamma² = 2 * (HV Intensity)

The second set of data minimal pre-processing and is non-georeferenced called the Single Look Complex (SLC) data and metadata. SLC data retains the phase and complex information inherent to SAR sensors. Consequently, end users may process these data however they wish and have maximum control over their usage and application. The data has a spatial resolution of 0.5m x 0.25m (Range x Azimuth).

The Optical Dataset

Maxar WorldView 2 imagery visualized as a false color composite (NIR, R, G) with attendant building footprint labels (white).

The Labels

Remember you can download and explore the full dataset for free on S3:

aws s3 ls s3://spacenet-dataset/AOIs/AOI_11_Rotterdam/

Conclusions

The DownLinQ

Welcome to the archived blog of CosmiQ Works, an IQT Lab

The DownLinQ

As of March 2021, CosmiQ Works has been folded into IQT Labs. An archive will remain here to showcase historical work from CosmiQ Works that took place July 2016 — March 2021.

Jake Shermeyer

Written by

Data Scientist at Capella Space. Formerly CosmiQ Works.

The DownLinQ

As of March 2021, CosmiQ Works has been folded into IQT Labs. An archive will remain here to showcase historical work from CosmiQ Works that took place July 2016 — March 2021.