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

4^th Food Security Challenge (FS4)

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, Online Services and Data Products Repositories.
In case you would like to get in touch with us about specific results, please use the indicated reference codes (e.g. WFP-01-01-01).

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 to 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	Software repository (private)	Software repository (public mirror)	Reference
Smoothed Gap-Filled Land Surface Temperature Time Series	For challenge team members only (authorized access) https://gitlab.com/ec-better/wfp/applications/ewf-wfp-02-01-01	Upcoming	WFP-02-01-01
Aggregated Land Surface Temperature Time Series	For challenge team members only (authorized access) https://gitlab.com/ec-better/wfp/applications/ewf-wfp-02-01-02	Upcoming	WFP-02-01-02
Long Term Averages of Land Surface Temperature Time Series	For challenge team members only (authorized access) https://gitlab.com/ec-better/wfp/applications/ewf-wfp-02-01-03	Upcoming	WFP-02-01-03
Land Surface Temperature Anomalies Time Series	For challenge team members only (authorized access) https://gitlab.com/ec-better/wfp/applications/ewf-wfp-02-01-04	Upcoming	WFP-02-01-04

Data Processing as-a-Service

There are two categories of "Data Processing as-a-Service" application packages created for the Data Challenge:

Data Processing Pipelines are controlling full EO data production campaigns, for use by approved members of a challenge only (authorized access),
On-demand Processing Services are controlling individual EO data processing jobs, also for use by the approved members of a challenge only (authorized access).

Follow the links below to proceed to one or the other, via a dedicated Geobrowser application providing web access to one or the other of the Data Processing services.
You can engage with the BETTER consortium to request authorized access via support (at) terradue.com

Description

Data Processing Pipeline (private)

On-demand Processing Service (private)

Reference

MODIS TERRA Land Surface Temperature (LST) - Aggregations and Anomalies

Application packages for:

Smoothed Gap-Filled Land Surface Temperature Time Series (Ref. WFP-02-01-01)
Aggregated Land Surface Temperature Time Series (Ref. WFP-02-01-02)
Long Term Averages of Land Surface Temperature Time Series (Ref. WFP-02-01-03)
Land Surface Temperature Anomalies Time Series (Ref. WFP-02-01-04)

prepared for Cloud deployment as:

Data Processing Pipeline
On-demand processing service

For authorized users upon access request addressed to support (at) terradue.com. and after approval by WFP.

Geobrowser App access point (authorized access):

https://ellip.terradue.com/geobrowser/?id=wfp/triggers-wfp-app

A dedicated Geobrowser App configured to run and monitor EO data production campaigns based on the developed application packages.

Jupyter Notebook access point (authorized access):

Contact us.

A dedicated Jupyter Notebook prepared to run and monitor EO data production campaigns based on the developed application packages.

For authorized users upon access request addressed to support (at) terradue.com. and after approval by WFP.

Geobrowser App access point (authorized access):

https://ellip.terradue.com/geobrowser/?id=wfp/processing-wfp-app
A dedicated Geobrowser App is configured to run and monitor individual EO data processing jobs based on the developed application packages.

WFP-02-01

Data Product Repositories

There is a dedicated client App publicly available for the visualization of the data products resulting from EO data processing challenges.

The results can consist of:

Validation data: small amount of data products generated for approval by the Challenge promoter
Production campaign data: full-time series/collection of data products answering the Challenge promoter question about Earth Observation data being used to help solve global societal challenges

Description	Catalog entries (public)	Data product repository (public)	Reference
Upcoming	For the developers' community (public access): Catalog entry for data collection description (OWS Context format): https://catalog.terradue.com/better-wfp-02-01-01/description Catalog entry for data product search (OWS Context format): https://catalog.terradue.com/better-wfp-02-01-01/search	Smoothed Gap-Filled Land Surface Temperature Time Series results (public access): https://ellip.terradue.com/geobrowser/?idx=better-wfp-apps/foodsec-datapipeline-app&token=d5f7e8d3-87e6-4f05-b1aa-e04f35c84131#!&context=datapipelines%2FMODISTERRALandSurfaceTemperature(LST)-AggregationsandAnomalies%2FSmoothedGap-FilledLandSurfaceTemperatureTimeSeries%2FResults	WFP-02-01-01
Upcoming	Catalog entry for data collection description (OWS Context format): https://catalog.terradue.com/better-wfp-02-01-02/description Catalog entry for data product search (OWS Context format): https://catalog.terradue.com/better-wfp-02-01-02/search	Aggregated Land Surface Temperature Time Series results (public access): https://ellip.terradue.com/geobrowser/?idx=better-wfp-apps/foodsec-datapipeline-app&token=d5f7e8d3-87e6-4f05-b1aa-e04f35c84131#!&context=datapipelines%2FMODISTERRALandSurfaceTemperature(LST)-AggregationsandAnomalies%2FAggregatedLandSurfaceTemperatureTimeSeries%2FResults	WFP-02-01-02
Upcoming	For the developers community (public access): Catalog entry for data collection description (OWS Context format): https://catalog.terradue.com/better-wfp-02-01-03/description Catalog entry for data product search (OWS Context format): https://catalog.terradue.com/better-wfp-02-01-03/search	Long Term Averages of Land Surface Temperature Time Series results (public access): https://ellip.terradue.com/geobrowser/?idx=better-wfp-apps/foodsec-datapipeline-app&token=d5f7e8d3-87e6-4f05-b1aa-e04f35c84131#!&context=datapipelines%2FMODISTERRALandSurfaceTemperature(LST)-AggregationsandAnomalies%2FLongTermAveragesofLandSurfaceTemperatureTimeSeries%2FResults	WFP-02-01-03
Upcoming	For the developers community (public access): Catalog entry for data collection description (OWS Context format): https://catalog.terradue.com/better-wfp-02-01-04/description Catalog entry for data product search (OWS Context format): https://catalog.terradue.com/better-wfp-02-01-04/search	Land Surface Temperature Anomalies Time Series results (public access): https://ellip.terradue.com/geobrowser/?idx=better-wfp-apps/foodsec-datapipeline-app&token=d5f7e8d3-87e6-4f05-b1aa-e04f35c84131#!&context=datapipelines%2FMODISTERRALandSurfaceTemperature(LST)-AggregationsandAnomalies%2FLandSurfaceTemperatureAnomaliesTimeSeries%2FResults	WFP-02-01-04