Data

Investigating landslide triggering rainfall and susceptibility modelling in northern Philippines

University of New England, Australia
Javier, Dymphna ; Kumar, Lalit ; University of the Philippines, Baguio Cordillera Studies Center: Philippines
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://hdl.handle.net/1959.11/215377&rft.title=Investigating landslide triggering rainfall and susceptibility modelling in northern Philippines&rft.identifier=https://hdl.handle.net/1959.11/215377&rft.publisher=University of New England, Australia&rft.description=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.Access to the Thesis for which this dataset was generated can be found at the following link: https://hdl.handle.net/1959.11/27377&rft.creator=Javier, Dymphna &rft.creator=Kumar, Lalit &rft.creator=University of the Philippines, Baguio Cordillera Studies Center: Philippines &rft.date=2018&rft.coverage=northlimit=17.021396702354; southlimit=16.057754898473; westlimit=120.21319239972; eastLimit=121.10308497785; projection=WGS84&rft_rights= http://creativecommons.org/licenses/by-nc/3.0/au&rft_rights=&rft_rights=Rights holder: University of New England&rft_subject=Natural Resource Management&rft_subject=ENVIRONMENTAL SCIENCES&rft_subject=ENVIRONMENTAL SCIENCE AND MANAGEMENT&rft_subject=Environmental Rehabilitation (excl. Bioremediation)&rft_subject=Rehabilitation of Degraded Mountain and High Country Environments&rft_subject=ENVIRONMENT&rft_subject=REHABILITATION OF DEGRADED ENVIRONMENTS&rft_subject=Natural Hazards in Mountain and High Country Environments&rft_subject=NATURAL HAZARDS&rft_subject=Natural resource management&rft_subject=Environmental management&rft_subject=ENVIRONMENTAL SCIENCES&rft_subject=Environmental rehabilitation and restoration&rft_subject=Rehabilitation or conservation of terrestrial environments&rft_subject=Terrestrial systems and management&rft_subject=ENVIRONMENTAL MANAGEMENT&rft.type=dataset&rft.language=English Access the data
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Rights holder: University of New England

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Contact Information

dnjavier@up.edu.ph

Full description

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.
Access to the Thesis for which this dataset was generated can be found at the following link: https://hdl.handle.net/1959.11/27377

Notes

Related Publications
Deriving the rainfall threshold for shallow landslide early warning during tropical cyclones: a case study in northern Philippines https://doi.org/10.1007/s11069-017-3081-2
Thesis title, Investigating landslide triggering rainfall and susceptibility modelling in northern Philippines
Rapid appraisal of rainfall threshold and selected landslides in Baguio, Philippines https://doi.org/10.1007/s11069-015-1790-y
Funding Source
United Nations - World Food Program grant

Issued: 2018-06-27

Date Submitted : 2018-06-27

Data time period: 1970 to 2013

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121.10308,17.0214 121.10308,16.05775 120.21319,16.05775 120.21319,17.0214 121.10308,17.0214

120.65813868879,16.539575800414

Subjects
Environment | Environmental Management | Environmental Science and Management | Environmental Sciences | Environmental Sciences | Environmental Rehabilitation (Excl. Bioremediation) | Environmental Management | Environmental Rehabilitation and Restoration | Natural Hazards | Natural Hazards in Mountain and High Country Environments | Natural Resource Management | Natural Resource Management | Rehabilitation of Degraded Environments | Rehabilitation of Degraded Mountain and High Country Environments | Rehabilitation or Conservation of Terrestrial Environments | Terrestrial Systems and Management |

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handle : https://hdl.handle.net/1959.11/27377

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