A comparison between support vector machine and water cloud model for estimating crop leaf area index

The water cloud model (WCM) can be inverted to estimate leaf area index (LAI) using the intensity of backscatter from synthetic aperture radar (SAR) sensors. Published studies have demonstrated that the WCM can accurately estimate LAI if the model is effectively calibrated. However, calibration of this model requires access to field measures...

Automatic detection of snow avalanche debris in central Svalbard using C-band SAR data

Snow avalanches pose a threat to people and infrastructure in and around Svalbard’s main settlement Longyearbyen. Since January 2016, publically available regional avalanche warnings are issued daily for Nordenskiöld Land, the area around Longyearbyen. Avalanche warning services rely on information of when and where avalanches occur....

Optimisation of Method for Snow Avalanche Detection in SAR images: Supporting the development of snow avalanche mapping and monitoring of Svalbard

Avalanches form a threat to people travelling in mountainous regions as well as for infrastructure and buildings. They cause around 250 fatalities annually worldwide. To limit the number of future fatalities, forecasting services are interested in knowledge on avalanche activity to verify their warning system. They rely on information about the...