Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

Keywords

Equipment

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Automation landslide identification by means of airborne laser scanning, object based analysis and machine learning.

2017/25/N/ST10/02365

Keywords:

landslide identification landslide mapping digital elevation model object oriented analysis machine learning

Descriptors:

  • ST10_12: Geodesy, cartography, geographic information systems, Earth observations from space and by remote sensing
  • ST10_16: Changes/shaping and protection of the natural environment

Panel:

ST10 - Earth sciences: Earth system science, atmospheric sciences, climatology, geochemistry, geodesy, geoecology, geophysics, physical geography, geoinformatics, planetary geology, pedology, mining, chemical and physical oceanology, environmental protection

Host institution :

Uniwersytet Przyrodniczy we Wrocławiu, Wydział Inżynierii Kształtowania Środowiska i Geodezji

woj. dolnośląskie

Other projects carried out by the institution 

Principal investigator (from the host institution):

dr Kamila Pawłuszek-Filipiak 

Number of co-investigators in the project: 2

Call: PRELUDIUM 13 - announced on 2017-03-15

Amount awarded: 103 720 PLN

Project start date (Y-m-d): 2018-01-24

Project end date (Y-m-d): 2020-01-23

Project duration:: 24 months (the same as in the proposal)

Project status: Project settled

Project description

Download the project description in a pdf file

Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.

Equipment purchased [PL]

  1. komputer przenośny-laptop (7 000 PLN)
  2. Oprogramowanie eCognition Developer (18 000 PLN)

Information in the final report

  • Publication in academic press/journals (2)
  1. Landslide features identification and morphology investigation using high-resolution DEM derivatives
    Authors:
    Kamila Pawłuszek
    Academic press:
    Natural Hazards (rok: 2019, tom: 96, strony: 311–330), Wydawca: Springer Netherlands
    Status:
    Published
    DOI:
    10.1007/s11069-018-3543-1 - link to the publication
  2. . Multi-Aspect Analysis of Object-Oriented Landslide Detection Based on an Extended Set of LiDAR-Derived Terrain Features.
    Authors:
    Pawłuszek, K., Marczak, S., Borkowski, A., & Tarolli, P.
    Academic press:
    ISPRS International Journal of Geo-Information (rok: 2019, tom: 8(8), strony: 321), Wydawca: MDPI
    Status:
    Published
    DOI:
    10.3390/ijgi8080321 - link to the publication

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