geospatial@BIH

Explore geospatial assets used in the environMENTAL project

This platform offers an alternative perspective on the geospatial data utilized in our environmental project. It provides a curated selection of environmental products employed within the project. These products play a crucial role in enriching other datasets, aiming to deepen our understanding of the environmental factors influencing mental and overall health.
If you are interested in learning more, please do not hesitate to reach out to us. We are available to provide data enrichment services tailored to the specific needs of scientific projects upon request.
This page only presents a subset of the data that the "environMENTAL" project is using. For example, data on carbon monoxide, sulphur dioxide, cloud cover, population density, water bodies, topology or ozone, to name but a few, are not yet part of this site.
Special thanks to Sören Hese and Paul Renner from the Friedrich-Schiller-University Jena, as well as Kerstin Schepanski and James R. Banks from the Free University Berlin for their invaluable contributions in processing and preparing the data.


Feature selected
Fine particulate matter: The Global Annual PM2.5 Grids from MODIS, MISR and SeaWiFS Aerosol Optical Depth (AOD), 1998-2019, V4.GL.03 data set utilizes NASA’s MODIS C6.1, MISR v23, MAIAC C6, and SeaWiFS Optical Aerosol Depth (AOD) data to produce a collection of 22 gridded data files of annual concentrations (micrograms per cubic meter) of all composition ground-level fine particulate matter (PM2.5). There is one grid for each year for the period 1998 to 2019, at a spatial resolution of 0.01 degrees (i.e., grid cells 1.1 km on a side at the equator). The annual estimates were generated following a Geographically Weighted Regression (GWR) technique (van Donkelaar et al., 2016). The grids were developed from the ASCII data files for each year in Esri ArcGIS.


Selected: Uckermark


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