Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

Keywords

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Wykorzystanie danych lotniczego skaningu laserowego do identyfikacji obszarów osuwiskowych.

2018/28/T/ST10/00528

Keywords:

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: ETIUDA 6 - announced on 2017-12-15

Amount awarded: 108 352 PLN

Project start date (Y-m-d): 2018-10-01

Project end date (Y-m-d): 2019-09-30

Project duration:: 12 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.

Information in the final report

  • Publication in academic press/journals (2)
  • Book publications / chapters in book publications (1)
  1. Investigating the Effect of Cross-Modeling in Landslide Susceptibility Mapping
    Authors:
    Pawluszek-Filipiak, K., Oreńczak, N., & Pasternak, M
    Academic press:
    Applied Sciences (rok: 2020, tom: 10 (18), strony: 6), Wydawca: MDPI
    Status:
    Published
    DOI:
    10.3390/app10186335 - link to the publication
  2. On the Importance of Train–Test Split Ratio of Datasets in Automatic Landslide Detection by Supervised Classification.
    Authors:
    Pawluszek-Filipiak, K., & Borkowski, A.
    Academic press:
    Remote Sensing (rok: 2020, tom: 12 (18), strony: 3054), Wydawca: MDPI
    Status:
    Published
    DOI:
    10.3390/rs12183054 - link to the publication
  1. Object-oriented automatic landslide detection from high resolution Digital Elevation Model-opportunities and challenges based on a case study in the Polish Carpathians
    Authors:
    Pawluszek-Filipiak L., Borkowski A
    Book:
    Understanding and Reducing Landslide Disaster Risk (rok: 2021, tom: 1, strony: 75-80), Wydawca: Springer
    Status:
    Published

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