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Planet Completes Acquisition of Sinergise; Set to Expand Planet’s Earth Data Platform

Special data offer

In addition to standard Euro Data Cube offer covering complete archives of Sentinel-1, Sentinel-2, Sentinel-3, Sentinel-5P, Landsat 8 and MODIS, Space Apps Challenge partners NASA, ESA and JAXA have prepare a additional data collections, readily available to participants:

 

OMI/Aura NO2 Cloud-Screened Tropospheric Column data description

How to access it

  1. If you do not yet have a Sentinel Hub account, create it here
  2. Go to Configuration utility
  3. Click "New Configuration" and find "Space Apps NASA OMI"
  4. Use EO Browser or OGC services to access these data. You can always reconfigure data processing algorithm in Configuration utility

Description

OMI/Aura NO2 Cloud-Screened Tropospheric Column Global Gridded 0.25 degree x 0.25 degree in Cloud-Optimized GeoTiff

NO2 tropospheric column density, screened for CloudFraction < 30% global daily composite at 0.25 degree resolution for the temporal range January 2004 to May 2020. Original archive data in HDF5 has been processed into a Cloud-Optimized GeoTiff (COG) format.

Quality Assurance: This data has been validated by the NASA Science Team at Goddard Space Flight Center.

Documentation:



 

Copernicus Sentinel-5P Tropospheric Nitrogen Dioxide data description

How to access it

  1. If you do not yet have a Sentinel Hub account, create it here
  2. Go to Configuration utility
  3. Click "New Configuration" and find "Space Apps Sentinel-5P NO2"
  4. Use EO Browser or OGC services to access these data. You can always reconfigure data processing algorithm in Configuration utility

Description

The maps shows 14 days averages of tropospheric Copernicus Sentinel-5 Precursor Nitrogen Dioxide measurements. Concentrations of short-lived pollutants, such as Nitrogen Dioxide, are indicators of changes in economic slowdowns and are comparable to changes in emissions. Using a 14 day average eliminates some effects which are caused by short term weather changes and clouds cover. The average gives a view over the whole time period and therefore reflects trends better than shorter time periods.

Further information




 

JAXA GCOM-C SGLI data description

How to access it

  1. If you do not yet have a Sentinel Hub account, create it here
  2. Go to Configuration utility
  3. Click "New Configuration" and find "Space Apps - JAXA - GCOM-C" and "Space Apps - JAXA - GCOM-C - visualization:
  4. Use EO Browser or OGC services to access these data. You can always reconfigure data processing algorithm in Configuration utility

Description

Area/Time Coverage

Data was processed for the following areas and is provided for Jan ~ April (4 month) in 3 years (2018 ~ 2020).

LNAreaLatitudeLongitude
1TokyoN34.3 ~ N36.3E138.0 ~ E141.0
2BeijingN39.1 ~ N41.1E115.0 ~ E118.0
3CaliforniaN34.5 ~ N40.5W125.0 ~ W118.0
4FrankfurtN49.0 ~ N52.0E7.5 ~ E10.5
5Dunkerque,GhentN50.0 ~ N52.0E1.0 ~ E5.0

Product type

The following table lists all the available product types. The CRS(Coordinate Reference System) used is WPSG:4236. Original data in HDF (check the references below) is converted into the CRS/COG format. GCOM-C observes 2 times in a day (Descending : around 10:30 in local sun time, Ascending : around 22:30 in local sun time).

LNProductDefinitionUnitResolution
1ARNP (Daily)Aerosol Optical ThicknessDimensionless1/120 deg
2LST (Daily, 8-day, Monthly)Land Surface Temperature (A: Ascending (Night), D: Descending (Daytime))Kelvin1/480 deg
3NDVI (Daily, Monthly)Normalized Difference Vegetation IndexDimensionless1/480 deg

Configuration Layers



LNProduct typeLayer IDDescription
1LST (Daily)1-LAND-SURFACE-TEMPERATURE-DAILYDaily land surface temperature, visualized
2LST (Daily)LAND-SURFACE-TEMPERATURE-DAILY-VALUEDaily land surface temperature, single value
3LST (8-day)2-LAND-SURFACE-TEMPERATURE-8-DAYLand surface temperature, visualized, every 8 days
4LST (8-day)92-LAND-SURFACE-TEMPERATURE-8-DAY-VALUELand surface temperature, single value, every 8 days
5LST (Monthly)3-LAND-SURFACE-TEMPERATURE-MONTHLYMonthly land surface temperature, visualized
6LST (Monthly)LAND-SURFACE-TEMPERATURE-MONTHLY-VALUEMonthly land surface temperature, single value
7NDVI (Daily)4-NORMALIZED-DIFFERENCE-VEGETATION-INDEX-DAILYDaily normalized difference vegetation index, visualized
8NDVI (Daily)NORMALIZED-DIFFERENCE-VEGETATION-INDEX-DAILY-VALUEDaily normalized difference vegetation index, single-value
9NDVI (Monthly)6-NORMALIZED-DIFFERENCE-VEGETATION-INDEX-MONTHLYMonthly normalized difference vegetation index, visualized
10NDVI (Monthly)NORMALIZED-DIFFERENCE-VEGETATION-INDEX-MONTHLY-VALUEMonthly normalized difference vegetation index, single-value
11ARNP (Daily)7-AEROSOL-OPTICAL-THICKNESS-DAILYDaily aerosol optical thickness over Land at 500nm by Non-polarization, visualized
12ARNP (Daily)AEROSOL-OPTICAL-THICKNESS-DAILY-VALUEDaily aerosol optical thickness over Land at 500nm by Non-polarization, single value

References



 

ALOS-2(Sensor:L-band Synthetic Aperture Radar-2/PALSAR-2) data description

How to access it

  1. If you do not yet have a Sentinel Hub account, create it here
  2. JAXA's data are not open and free data but are made available for free for this hackathon. Please read the end-user license.
  3. Fill this form.
  4. JAXA's configuration will be added to your account latest in a few hours
  5. Go to Configuration utility
  6. Use EO Browser or OGC services to access these data. You can always reconfigure data processing algorithm in Configuration utility

Description

The PALSAR-2 aboard the ALOS-2 is a Synthetic Aperture Radar (SAR), which emits microwave and receives the reflection from the ground to acquire information. Since it does not need other sources of light such as the sun, SAR has the advantage of providing satellite images regardless day or night. The frequency of transmitting and receiving microwave is L-band, which is less affected by clouds and rains. This all-weather observing capability is suitable for monitoring disasters rapidly. In addition, L-band microwave can reach to the ground partially penetrating through vegetation to obtain information of vegetation and ground surface.

Further information