Organization profile

Profile Information

The department of Earth Systems Analysis combines earth science knowledge with spatial modelling and advanced remote sensing to understand earth processes in space and time. Our education and research contribute to a sustainable use of energy and earth resources, and help reduce disaster risk and the impact of natural hazards on society.

Fingerprint The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit

landslide Earth & Environmental Sciences
remote sensing Earth & Environmental Sciences
earthquake Earth & Environmental Sciences
modeling Earth & Environmental Sciences
Landslides Engineering & Materials Science
mineral Earth & Environmental Sciences
Infrared radiation Engineering & Materials Science
imagery Earth & Environmental Sciences

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Profiles

Photo of Dinand Alkema

Dinand Alkema

Person: Academic, Administrative

19942018
No photo of Astisiasari Astisiasari

Astisiasari Astisiasari

Person: Academic, PNUT

20172018
No photo of Wim Harry Bakker
19972019

Research Output 1974 2019

1 Citation (Scopus)

A global slope unit-based method for the near real-time prediction of earthquake-induced landslides

Tanyas, H., Rossi, M., Alvioli, M., van Westen, C. J. & Marchesini, I., 2019, In : Geomorphology. 327, 15 February, p. 126-146 21 p.

Research output: Contribution to journalArticleAcademicpeer-review

landslide
earthquake
prediction
method
modeling

Analysing post-earthquake mass movement volume dynamics with multi-source DEMs

Tang, C., Tanyas, H., van Westen, C. J., Tang, C., Fan, X. & Jetten, V. G., 8 Jan 2019, In : Engineering geology. 248, p. 89-101 13 p.

Research output: Contribution to journalArticleAcademicpeer-review

Landslides
mass movement
digital elevation model
landslide
Earthquakes

An improved cluster-based snake model for automatic agricultural field boundary extraction from high spatial resolution imagery

Ghaffarian, S. & Turker, M., 2019, In : International journal of remote sensing. 40, 4, p. 1217-1247 31 p.

Research output: Contribution to journalArticleAcademicpeer-review

field margin
snake
spatial resolution
imagery
QuickBird

Activities 2018 2018

  • 1 Organising a conference, workshop, ...

pITCom Summer Symposium on Sustainable Development Goals

V. Kokorev (Participant), J.M. van Niekerk (Participant), O.M. Kamps (Participant), R. Zeng (Participant)
7 Jun 2018 → …

Activity: Participating in or organising an eventOrganising a conference, workshop, ...