As cyber operations continue to support regional conflicts, threat groups are targeting a wider range of information, including geospatial mapping and global positioning systems (GPS) data that can be ...

The discovery of geoglyphs in southern Peru has been supercharged by artificial intelligence (AI). In just six months, more than 300 new figures were identified, almost doubling the previously known ...

Introducing a new book to be published in late April 2026, "First Steps in Geospatial Data Science with Python". We are releasing a portion of the book ahead of its publication. The desire to "just ...

In this study, the spatial distribution of heavy metals (Pb, Cd, Cr, Ni, Co, Zn) found in street dust in the city of Adana and their potential effects on human health were examined using a risk ...

Deep learning model inferencing in ArcGIS is implemented on top of the Python raster function framework. This repository serves to provide guidance on deep learning Python raster functions in ArcGIS, ...

The WRF-Hydro GIS Pre-processor provides various scripts and tools for building the geospatial input files for running a WRF-Hydro simulation. gdal 3.6.3 netcdf4 1.6.3 numpy 1.24.2 packaging 23.0 ...

Open the Planetary Computer data catalog and you will find all kinds of useful data: from decades’ worth of satellite imagery to biomass maps, from the US Census to fire data. All together, there are ...

Across mapping, engineering, disaster response, and natural resource work, geospatial thinking underpins the tools we use every day. If your career now calls for sharper GIS skills—or you want a fast, ...

Climate change and global warming results in natural hazards, including flash floods. Flash floods can create blue spots; areas where transport networks (roads, tunnels, bridges, passageways) and ...

Gain the expertise to protect and sustainably manage natural resources with hands-on computer-based fieldwork skills on our Masters in Environmental Remote Sensing and Geospatial Sciences. Geospatial ...