Mark Altaweel is a Reader in Near Eastern Archaeology at the Institute of Archaeology, University College London, having held previous appointments and joint appointments at the University of Chicago, University of Alaska, and Argonne National Laboratory. Mark has an undergraduate degree in Anthropology and Masters and PhD degrees from the University of Chicago’s Department of Near Eastern Languages and Civilizations.
Rapid ocean floor mapping is considered one of humanity’s grand challenges. To highlight this challenge, Xprise recently announced the finalists for its grand challenges competition to rapidly map the ocean floors.
While mapping spatiotemporal data has remained a challenge, increasingly we are seeing tools that are available on common open source platforms (e.g., R statistical package and QGIS) or commercial platforms such as ArcGIS.
Recent developments in GIS and analytical applications have demonstrated that predicting road conditions, and thus preventing traffic accidents and possibly even traffic in the first place, is possible.
High altitude pseudo-satellites (HAPS) are systems or platforms that usually float or operate for long periods, sometimes for months, at about 20 km above the Earth’s surface and can be potentially used to complement earth observation satellites.
Hankui Zhang, from South Dakota State University, has developed a new classification technique that used a large number of images from MODIS, which has 500-meter resolution, and Landsat (30-meter) resolution together.