DREAM: Data Rang for EArth Monitoring

Citation Author(s):
Elise
Colin Koeniguer
Onera
Submitted by:
elise koeniguer
Last updated:
Tue, 06/01/2021 - 13:47
DOI:
10.21227/twgk-dp05
Data Format:
GeoTiff
License:
Creative Commons Attribution
767 Views
Categories:
Remote Sensing
Keywords:
classification, coregistration, speckle filtering, Deep Learning, computer vision
0
0 ratings - Please login to submit your rating.
CITE SHARE/EMBED

Abstract 

The DREAM (Data Rang or EArth Monitoring): a multimode database including optics, radar, DEM and OSM labels for deep machine learning purposes.

DREAM, is a multimodal remote sensing database, developed from open-source data.

The database has been created using the Google Earth Engine platform, the GDAL python library; the “pyosm” python package developed by Alexandre Mayerowitz (Airbus, France). If you want to use this dataset in your study, please cite:

The DREAM Database: a multimode database including optics, radar, DSM (SRTM) and OSM labels for deep machine learning purposes, Elise Colin Koeniguer, Alexandre Mayerowitz, Nathan Letheule, Aurélien Plyer, In IGARSS 2021, Brussels

It includes two subsets:

France  on a 10mx10 m UTM Grid:

Radar Sentinel-1 data, with and without temporal speckle filtering, optical Sentinel-2 data, rasterized Open Street Map datasets OSM (© OpenStreetMap contributors), and DEM data (SRTM)

USA   on a 5 mx5 m WGS84 Grid

RGB visible airborne images (NAIP), UAVSAR L-band radar, Sentinel-2 data, Sentinel1-data with temporal speckle filtering, and DEM data (SRTM)

Warnings:

  • Some tiles in the France database may be smaller than 1024x1024 pixels.
  • Some OSM raster data does not exist or contain only null labels (Coast Areas for example)

https://www.openstreetmap.org/copyright/en

Instructions: 

The two datasets are stored in two separate zip files: USA_DREAM_MULTIMODAL.zip and France_DREAM_MULTIMODAL.zip.

After unzip, each directory contain different sub directories with different areas. Each available tile is a 1024x1024 tile GeoTiffs format.

In France:

  • CoupleZZ_S2_date1_date2_XX_YY (Uint16 GeoTiff, UTM, RGB)
  • CoupleZZ_SRTM_V2_XX_YY (Int16 GeoTiff)
  • CoupleZZ_S1_date2_date1_XX_YY (Float32 GeoTiff 2 bands, Red:VV, Green: HV)
  • CoupleZZ_S1moy_date2__dual_XX_YY (Float32 GeoTiff 2 bands, Red:VV, Green: HV)
  • CoupleZZ_OSMraster_XX_YY (Uint8 3 bands RGB GeoTIff)

In the USA 
There are directories named zoneZ that include following subdirectories

  • optique     contains    *_pauli_x***_y***_optique.tif 
    • Ex: SanAnd_09018_18038_017_180730_L090_CX_01_pauli_x000_y002_optique.tif
  • radar                            *_pauli_x***_y***.tif 
    • Ex: SanAnd_09018_18038_017_180730_L090_CX_01_pauli_x000_y002.tif
  • S1                                 *_pauli_x***_y***_S1moy.tif 
    • Ex: SanAnd_09018_18038_017_180730_L090_CX_01_pauli_x000_y002_S1moy.tif
  • S2                                 *_pauli_x***_y***_S2mosa.tif 
    • Ex: SanAnd_09018_18038_017_180730_L090_CX_01_pauli_x000_y002_S2mosa.tif
  • SRTM                           *__x***_y***_hgt.tif
    • Ex:  SanAnd_09018_18038_017_180730_L090_CX_01__x000_y002_hgt.tif

 

 

Comments

data for flood study

Submitted by Prashant Pusdekar on Sat, 03/13/2021 - 08:52

Dataset Files

LOGIN TO ACCESS DATASET FILES
Open Access dataset files are accessible to all logged in  users. Don't have a login?  Create a free IEEE account.  IEEE Membership is not required.

QUESTIONS?

Login to Send Author a Private Message

Report a problem with this Dataset