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FreeAcademicGermany, Global

ICDC University of Hamburg - ASCAT MetOp Surface Soil Moisture

Integrated Climate Data Center global ASCAT (MetOp) C-band surface soil moisture (top 2-5 cm) at ~0.1 degree resolution, 2007-2024, as daily 5-day composites and monthly aggregates with DOIs.

cen.uni-hamburg.de

At a glance

Region
Germany (Global)
Coverage
Global
Access
Free
Category
Academic
Last updated
2024

What's inside

  • soil moisture
  • ASCAT
  • scatterometer
  • satellite

Terms explained

What you can do with it

Typical work that data of this type supports.

  1. 01

    Irrigation scheduling

    Decide when and how much to irrigate.

    Because it has: soil moisture

  2. 02

    Water accounting

    Track how much water crops actually consume across a command area.

  3. 03

    No-gauge areas

    Monitor places with no ground stations.

    Because it has: satellite

Where AI adds value

Ideas for machine learning and AI agents built on this kind of data.

  1. 01

    Field-scale ET

    Estimate crop water use per field by combining satellite and weather with ML.

  2. 02

    Demand forecasts

    Predict irrigation demand weeks ahead for canal and pump planning.

  3. 03

    Segmentation

    Map water, crops and land use pixel by pixel with deep learning.

Machine access and documentation

Open API

THREDDS server with HTTP/wget and OPeNDAP subsetting access

Licence: Open data

Listed in our registry of open water APIs, which WaterDataGPT can query live.

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