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Rotterdam

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Datasets // Rotterdam

SpaceNet AOI 11 – Rotterdam

Maxar Catalog ID: 1030050092F8EC00
Image Time: 2019-08-31

Capella Collection: 204 image strips
Image Time: 2019-08-04, 2019-08-22, 2019-08-23

Download Instructions

To view the contents of the training dataset

aws s3 cp s3://spacenet-dataset/spacenet/SN6_buildings/tarballs/SN6_buildings_AOI_11_Rotterdam_train.tar.gz .

Download Instructions

To view the contents of the testing dataset

aws s3 cp s3://spacenet-dataset/spacenet/SN6_buildings/tarballs/SN6_buildings_AOI_11_Rotterdam_test_public.tar.gz .

SpaceNet Simple Storage Service (S3) Directory Structure (AOI 11)

spacenet
└── SN6_buildings
    │ 
    ├── train/AOI_11_Rotterdam
    │   │
    │   ├── SAR-Intensity	# Tiled geotiffs of 4-Band Quad-Polarized (HH, HV, VH, VV) raster data displaying intensity of backscatter in decibels from Capella’s aerial collect. 
    │   ├── MS      		# Tiled geotiffs of 4-Band Multi-Spectral raster data from Maxar WorldView-2
    │   ├── PAN     		# Tiled geotiffs of Panchromatic raster data from Maxar WorldView-2
    │   ├── PS-MS		# Tiled geotiffs of 4-Band Multi-Spectral raster data pan-sharpened to 0.5m from Maxar WorldView-2
    │   ├── PS-RGB		# Tiled 8-bit color-corrected geotiffs of RGB raster data from Maxar WorldView-2 pan-sharpened to 0.5m
    │   ├── geojson_buildings   # GeoJson labels of building footprints for each tile
    │   └── SummaryData	        # CSV of building footprint locations in pixel coordinates and orientation file indicating the directions from which each SAR image is captured (0 North, 1 South).
    │
    ├── test_public/AOI_11_Rotterdam
    │   │
    │   └── SAR-Intensity	# Tiled geotiffs of 4-Band Quad-Polarized (HH, HV, VH, VV) raster data displaying intensity of backscatter in decibels from Capella’s aerial collect. 
    │
    └── tarballs
        │
        ├── SN6_buildings_AOI_11_Rotterdam_train.tar.gz            # Tarball of all training data (40 GB)
        └── SN6_buildings_AOI_11_Rotterdam_test_public.tar.gz	   # Tarball of all public test data (17 GB)

Dar Es Salaam

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Datasets // Dar Es Salaam

SpaceNet AOI 10 – Dar Es Salaam

Download Instructions

To be released post-challenge.

SpaceNet Simple Storage Service (S3) Directory Structure (AOI 10)

To be released post-challenge.

San Juan

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Datasets // San Juan

SpaceNet AOI 9 – San Juan

Catalog ID: 104001002B3BB400
Image Time: 2017-04-05

Download Instructions

To view the contents of the dataset

aws s3 cp s3://spacenet-dataset/spacenet/SN5_roads/tarballs/SN5_roads_test_public_AOI_9_San_Juan.tar.gz .

SpaceNet Simple Storage Service (S3) Directory Structure (AOI 9)


├── AOI_9_San_Juan
│   ├── MS      		# Tiled geotiffs of 8-Band Multi-Spectral raster data from WorldView-3
│   ├── PAN     		# Tiled geotiffs of Panchromatic raster data from Worldview-3
│   ├── PS-MS			# Tiled geotiffs of 8-Band Multi-Spectral raster data pan-sharpened to 0.3m
│   ├── PS-RGB			# Tiled 8-bit color-corrected geotiffs of RGB raster data from Worldview-3 pan-sharpened to 0.3m

San Juan // Roads Dataset Resources

AOI 9 – San Juan – Road Network Extraction Training

The path to the processed ~400mx400m tiles of AOI 9 with associated road network labels for training is:

s3://spacenet-dataset/spacenet/SN5_roads/tarballs/SN5_roads_test_public_AOI_9_San_Juan.tar.gz

Mumbai

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Datasets // Mumbai

SpaceNet AOI 8 – Mumbai

Catalog ID: 1040010036125500
Image Time: 2018-01-06

Download Instructions

To view the contents of the dataset

aws s3 cp s3://spacenet-dataset/spacenet/SN5_roads/tarballs/SN5_roads_train_AOI_8_Mumbai.tar.gz .

SpaceNet Simple Storage Service (S3) Directory Structure (AOI 8)

├── AOI_8_Mumbai
│   ├── MS      		# Tiled geotiffs of 8-Band Multi-Spectral raster data from WorldView-3
│   ├── PAN     		# Tiled geotiffs of Panchromatic raster data from Worldview-3
│   ├── PS-MS			# Tiled geotiffs of 8-Band Multi-Spectral raster data pan-sharpened to 0.3m
│   ├── PS-RGB			# Tiled 8-bit color-corrected geotiffs of RGB raster data from Worldview-3 pan-sharpened to 0.3m
│   └── geojson_roads_speed	# GeoJson labels of roads for each tile, with inferred speed

Mumbai // Roads Dataset Resources

AOI 8 – Mumbai – Road Network Extraction Training

The path to the processed ~400mx400m tiles of AOI 8 with associated road network labels for training is:

s3://spacenet-dataset/spacenet/SN5_roads/tarballs/SN5_roads_train_AOI_8_Mumbai.tar.gz

Moscow

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Datasets // Moscow

SpaceNet AOI 7 – Moscow

Catalog ID: 1040010038B6B100
Image Time: 2018-02-13

Download Instructions

To view the contents of the dataset

aws s3 cp s3://spacenet-dataset/spacenet/SN5_roads/tarballs/SN5_roads_train_AOI_7_Moscow.tar.gz .

SpaceNet Simple Storage Service (S3) Directory Structure (AOI 7)


├── AOI_7_Moscow
│   ├── MS      		# Tiled geotiffs of 8-Band Multi-Spectral raster data from WorldView-3
│   ├── PAN     		# Tiled geotiffs of Panchromatic raster data from Worldview-3
│   ├── PS-MS			# Tiled geotiffs of 8-Band Multi-Spectral raster data pan-sharpened to 0.3m
│   ├── PS-RGB			# Tiled 8-bit color-corrected geotiffs of RGB raster data from Worldview-3 pan-sharpened to 0.3m
│   └── geojson_roads_speed	# GeoJson labels of roads for each tile, with inferred speed

Moscow // Roads Dataset Resources

AOI 7 – Moscow – Road Network Extraction Training

The path to the processed ~400mx400m tiles of AOI 7 with associated road network labels for training is:

s3://spacenet-dataset/spacenet/SN5_roads/tarballs/SN5_roads_train_AOI_7_Moscow.tar.gz