Dear DHIS2 Community,
Happy new year! 
We are excited to announce the release of Maps App v105.5. This update introduces multiple new climate layers.
Maps App - v105.5 - New climate layer sources:
This version introduces multiple new Google Earth Engine layer sources. The requirements to have access to those are:
- A Google Earth Engine API key has been configured for your system (you can find the instructions to configure one here).
- A Maps app administrator has enabled the access to the new layer sources (you can find the details on how to proceed here).
General improvements
- Groups - The interface has been improved to allow navigating between sources of the same “familiy” with ease. A clear example of this is how “Population” and “Population age groups” have been merged in a single entry point in the “Add layer” selection, and you can select between “Population” and “Population age groups” directly in the dialog:
- Temporary Caching | Jira - We also introduced some level of caching for the duration of the session (across Maps app and its plugin in Dashboard app) to enable faster periods navigation and faster reloading of Earth Engine layers.
New layer sources | Jira | Docs
The new sources provide harmonized, gridded climate and environmental indicators derived from satellite observations and reanalysis products, designed for spatiotemporal analysis of climate–health exposures. They offer consistent coverage across space and time at daily to monthly resolutions, enabling monitoring of environmental conditions, detection of extremes, and assessment of population exposure relevant to climate-sensitive health risks, early warning, and decision support.
In addition to adding these sources to your map as layers, you can explore the values by organisation unit by opening pop-ups or the data table.
Precipitation
Datasets:
Periods: Monthly · Weekly · Daily
Supports assessment of rainfall variability and drought conditions relevant to water-borne disease risk, food security, and other public health outcomes.
Temperature
Datasets:
- Temperature ERA5
- Daily mean
- Daily minimum
- Daily maximum
Periods: Monthly · Weekly · Daily
Summary: Provides information on ambient temperature conditions used to study heat- and cold-related health impacts, including morbidity, mortality, and vulnerability to extremes.
Vegetation indices
Datasets:
- Vegetation indices MODIS
- NDVI
- EVI
Periods: Monthly · 16-day · Weekly
Indicates vegetation and land surface conditions relevant to food availability, ecosystem change, and environments influencing vector-borne disease transmission.
Relative humidity
Datasets:
Periods: Monthly · Weekly · Daily
Characterizes atmospheric moisture conditions that influence heat stress, respiratory health, and the transmission dynamics of infectious diseases.
Heat stress
Datasets:
- Heat stress ERA5
- Daily mean
- Daily minimum
- Daily maximum
Periods: Monthly · Weekly · Daily
Captures combined thermal conditions affecting human heat exposure, supporting analysis of heat-related health risks and identification of vulnerable populations.
ERA5, MODIS, and CHIRPS are widely used datasets developed by leading scientific institutions and commonly applied in public health and climate research.
- ERA5, produced by the ECMWF, provides comprehensive reconstructions of past weather and climate conditions.
- MODIS, operated by the NASA, collects satellite observations used to monitor vegetation and land surface conditions worldwide.
- CHIRPS, developed by the CHC, focuses on rainfall estimation by combining satellite imagery with ground measurements.
Bonus: Pin legend in dashboard | Jira
You can now click on the legend to pin and unpin map legends so they remain open for slideshows or when printing.
The Maps app is on continuous release, compatible with 2.40 and above. You can download the new release from DHIS2 App Hub or test it out on DHIS2 Play.
Thank you for your continuous support!
Best regards,
Karoline Tufte Lien
DHIS2 Product Manager