scispace - formally typeset
C

C.J. van Westen

Researcher at University of Twente

Publications -  229
Citations -  9482

C.J. van Westen is an academic researcher from University of Twente. The author has contributed to research in topics: Landslide & Risk assessment. The author has an hindex of 39, co-authored 200 publications receiving 8213 citations. Previous affiliations of C.J. van Westen include ITC Enschede & International Institute of Minnesota.

Papers
More filters
Journal ArticleDOI

Landslide detection in the Himalayas using machine learning algorithms and U-Net

TL;DR: In this article , the authors used two different datasets to analyze the potential of U-Net and machine learning approaches for automated landslide detection in the Himalayas, and they used a small dataset consisting of 239 samples acquired from several training zones and one testing zone to evaluate their models' performance.

Resistance to metalaxyl in Phytophthora infestans in The Netherlands in 1982

TL;DR: In this article, the authors found that metalaxyl-resistant strains of Phytophthora infestans were the major source of the early and severe late blight epidemic in 1981 in the Netherlands.

An open repository of earthquake-triggered ground-failure inventories: data release collection

TL;DR: The ScienceBase Community as discussed by the authors is a centralized ground failure inventory repository for earthquake-triggered ground failure data with the goal of accelerating the development of robust and widely applicable ground failure models.
Journal ArticleDOI

Pore Water Pressure as a Trigger of Shallow Landslides in the Western Ghats of Kerala, India: Some Preliminary Observations from an Experimental Catchment

TL;DR: In this paper, the authors used piezometers in three hollows of the upper Tikovil River basin to measure pore water pressure from the beginning of the storm that persisted through the time of occurrence of shallow landslides.

Remote sensing and geographic information systems for natural disaster management

TL;DR: A review of the use of remote sensing and GIS for a number of major disaster types is given in this article, where the authors show that the economic losses due to natural disasters have shown an increase with a factor of eight over the past four decades, caused by the increased vulnerability of the global society, due to population growth, urbanisation, poor urban planning, and an increase in the number of weather-related disasters.