Monitoring Land Surface Temperature for Natural Hazards and Food Security Early Warning

4th Food Security Challenge (FS4)

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Challenge Description

Land Surface Temperature (LST) remains an under-utilized variable in the field of Seasonal Monitoring and Natural Hazards Early Warning, in contrast with commonly used variables such as rainfall and vegetation indices. Higher than average LST can identify areas where vegetation may be feeling the impacts of heat stress and where soil moisture content may be lower than usual, therefore providing an additional stream of evidence for drought detection. LST can be used on its own or can be input to other more complex multi-variate indicators.

In the first phase, the pipeline delivered LST data will be used in preliminary studies that will analyze the information potential of this variable: specifically, can it identify better (or earlier) evolving drought events compared with vegetation indices? Is it sensitive to changes in soil moisture across a wider range of agro-ecological zones? How do LST temporal and spatial change patterns relate to those of NDVI? Once these questions are answered we will have a much stronger basis for basing advice and operational decisions on LST data from this pipeline.

This pipeline will articulate with others that produce rainfall and vegetation related indicators.

Results 

The results below are divided into Software Repositories, Data Processing Pipeline Services and Data Product Repositories.  In case you would like to get in touch about specific results, please use the indicated reference code.

 

Software Repositories

There are two categories of software repositories generated for the Challenge:

GitLab repositories are hosting the reference software code, for use by the team members of a challenge only (restricted access),
GitHub repositories are hosting the public software code (mirrors), for engagement and collaborative work with the broad community of software developers (public access).

Follow the links below to proceed to one or the other, and find an "Ellip Workflows (ewf)" software application implementing a data processing function.
You can adapt this software to your own context, commit a contribution on the related repository, or engage with the BETTER consortium to run it for a specific purpose (new area of interest, ...) by requesting Cloud resources to support (at) terradue.com

Description Access Link Reference
Smoothed Gap-Filled Land Surface Temperature Time Series  Available on request Smoothed Gap-Filled Land Surface Temperature Time Series DEIMOS sw & Whittaker Filter WFP-02-01-01
Aggregated Land Surface Temperature Time Series Available on request Aggregated Land Surface Temperature Time Series DEIMOS sw WFP-02-01-02

Long Term Averages of Land Surface Temperature Time Series

Available on request

Long Term Averages of Land Surface Temperature Time Series DEIMOS sw

 

WFP-02-01-03
Land Surface Temperature Anomalies Time Series  Available on request

Land Surface Temperature Anomalies Time Series DEIMOS sw

WFP-02-01-04

Data Processing as-a-Service

There are application packages available for the deployment as

Description of pipeline service Link

Data processing pipeline

There is a  Trigger App & coordinator, ready for the production via Terradue Ops or via Ellip notebooks workspace for 'any' Scaler user. There is no dedicated Infohub App available yet for Scaler users. Initial results from validation tests are available on the Data Store.

 

On-demand processing

Private access from dedicated Infohub App not yet available 

 

 

Data Product Repositories

In the table below you can find the data product repositories. In every repository, you can find a catalog entry as well as a visualisation of the results.

Description Link Reference
 

1. Catalog entry for discovery (OWS Context format)

Description

Search

2. Data store client App for results visualisation

Not available yet

 

WFP-02-01-01
 

1. Catalog entry for discovery (OWS Context format)

Description

Search

2. Data store client App for results visualisation

 

WFP-02-01-02
 
 

1. Catalog entry for discovery (OWS Context format)

Description

Search

2. Data store client App for results visualisation

Not available yet

WFP-02-01-03
 
 

1. Catalog entry for discovery (OWS Context format)

Description

Search

2. Data store client App for results visualisation

Not available yet

WFP-02-01-04
 
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