Representing landslides as polygon (areal) or points? How different data types influence the accuracy of landslide susceptibility maps
In the literatures, discussions on the accuracy of different models for landslide analysis have been discussed widely. However, to date, arguments on the type of input data (landslides in the form of point or polygon) and how they affect the accuracy of these models can hardly be found. This study a...
Saved in:
Main Authors: | Simon, N., De Roiste, M., Crozier, M., Rafek, A.G. |
---|---|
Format: | Article |
Published: |
Penerbit Universiti Kebangsaan Malaysia
2017
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85015776802&doi=10.17576%2fjsm-2017-4601-04&partnerID=40&md5=c96898566829d51764785a89e278d760 http://eprints.utp.edu.my/19849/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Representing landslides as polygon (areal) or points? How different data types influence the accuracy of landslide susceptibility maps
by: Simon, Norbert, et al.
Published: (2017) -
Representing Landslides as Polygon (Areal) or Points? How Different Data Types Influence the Accuracy of Landslide Susceptibility Maps
by: Md Rafek, Abdul Ghani
Published: (2017) -
Point based assessment: selecting the best way to represent landslide polygon as point frequency in landslide investigation
by: Norbert Simon, Michael Crozier, Mairead de Roiste, Abdul Ghani R, .
Published: (2013) -
Time series assessment on landslide occurrences in an area undergoing development
by: Norbert Simon, Michael Crozier, Mairead Roiste, Abdul Ghani Rafe, .
Published: (2015) -
Applying geospatial technology to landslide susceptibility assessment.
by: Safaei, Mehrdad, et al.
Published: (2010)