Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/215377
Title: Investigating landslide triggering rainfall and susceptibility modelling in northern Philippines
Contributor(s): Javier, Dymphna (author)orcid ; Kumar, Lalit  (supervisor)orcid 
Corporate Author: University of the Philippines Baguio Cordillera Studies Center
Publication Date: 2018-06-27
Handle Link: https://hdl.handle.net/1959.11/215377
Abstract/Context: The dataset contains the following in the une cloud: – arcmap and jpgs folder: various ArcMap files and generated jpgs In the UNE.Cloud thesis research data folder: – articles summary folder: Excel summary of pertinent articles and reported results on landslide susceptibility – rainfall threshold folder: Statistical analysis (done in Excel) of daily rainfall data measured by PAGASA (the national weather bureau) for the period 1970-2013 and associated landslide occurrence. – freqratio folder: Frequency ratio calculations (done in Excel) on landslide and non-landslide data attributes (elevation, slope, angle, slope aspect, plan curvature, profile curvature, distance to drainage, soil type, lithology, land use/ land cover, NDVI, distance to road) exported from ArcMap and then subjected to statistical analysis in Excel – blr folder data sub-folder: Training and validation landslide and non-landslide data randomly selected through ArcMap and exported to Excel. – blr folder blr_lsus and spss subfolders: Statistical analysis on SPSS results on training and validation data using binary logistic regression forward step method. – sat image sub-folder: WorldView2 satellite image of study site.
Publication Type: Dataset
Field of Research (FOR): 050209 Natural Resource Management
050207 Environmental Rehabilitation (excl. Bioremediation)
Socio-Economic Outcome Codes: 961206 Rehabilitation of Degraded Mountain and High Country Environments
961008 Natural Hazards in Mountain and High Country Environments
Keywords: Frequency ratio
Rainfall threshold
Baguio
Philippines
Landslide susceptibility
Binary logistic regression
Location: northlimit=17.021396702354; southlimit=16.057754898473; westlimit=120.21319239972; eastLimit=121.10308497785; projection=WGS84
Format: 29 Excel .xlsx files. 2 SPSS .sav files. 12 Satellite image files. 22 ArcMap .mxd files. 24 .jpg image files.
Access rights: Mediated
Open Access Embargo: 2019-10-01
HERDC Category Description: X Dataset
Description: Access to the Thesis for which this dataset was generated can be found at the following link: https://hdl.handle.net/1959.11/27377
Appears in Collections:Dataset
School of Environmental and Rural Science

Files in This Item:
49 files
File Description SizeFormat 
Show full item record

Page view(s)

12
checked on Mar 7, 2019
Google Media

Google ScholarTM

Check


This item is licensed under a Creative Commons License Creative Commons