Now showing items 1-6 of 6
The Challenges of using Wireless Mesh Networks for Earthquake Early Warning Systems
The total cost of an earthquake early warning system (EEWS) can be substantially decreased by using wireless mesh networks (WMNs), which are inexpensive computer networks whose nodes communicate wirelessly using a license-free ...
Kaarten in de Cloud: een inventarisatie van kaart-collecties op basis van Google Maps
Karten in der Cloud: eine Inventarisierung von Kartenbestände auf der Basis von Google Maps. Der Kartenbestand (vorerst die Kartenserien) von vier großen Sammlungen in Amsterdam (Sondersammlung der Universität von ...
Ground Truth Validation of Sentinel-2 Data Using Mobile Wireless Ad Hoc Sensor Networks (MWSN) in Vegetation Stands
Satellite-based remote sensing (RS) data are increasingly used to map and monitor local, regional, and global environmental phenomena and processes. Although the availability of RS data has improved significantly, especially ...
A New and Automated Method for Improving Georeferencing in Nighttime Thermal ECOSTRESS Imagery
Georeferencing accuracy plays a crucial role in providing high-quality ready-to-use remote sensing data. The georeferencing of nighttime thermal satellite imagery conducted by matching to a basemap is challenging due to ...
Machine learning reveals complex effects of climatic means and weather extremes on wheat yields during different plant developmental stages
Rising weather volatility poses a growing challenge to crop yields in many global breadbaskets. However, empirical evidence regarding the effects of extreme weather conditions on crop yields remains incomplete. We examine ...
Predicting traffic noise using land-use regression—a scalable approach
Background In modern societies, noise is ubiquitous. It is an annoyance and can have a negative impact on human health as well as on the environment. Despite increasing evidence of its negative impacts, spatial ...