Data · dataset · 2020
Landslide inventory of the 2018 monsoon rainfall in Kerala, India
Listed in DANS Data Station Physical and Technical Sciences
The state of Kerala in India was impacted by an extreme rainfall event in the Monsoon season of 2018, which triggered extensive floods, and landslides resulting in many casualties.
Description
In order to study whether the landslides that were triggered during this event were related with recent land use changes, we generated an accurate and almost complete landslide inventory based on two existing datasets (from the National Remote Sensing Center, and the Geological Survey of India) and detailed interpretation of images from different periods in the Google Earth platform.
The final dataset contains 4728 landslides with attributes of district, data source, landslide type, landslide area, land use in 2010, and land use in 2018, etc. The dataset and accompanying metadata are related to several publications in international journals. Date Submitted: 2020-04-03
Links
Where it is published
- Dataverse dataset page phys-techsciences.datastations.nl/dataset.xhtml?persistentId=doi%3A10.17026%2FDANS-X6C-Y7X2 ↗
landing page · from phys techsciences datastations nl
- DOI doi.org/10.17026/dans-x6c-y7x2 ↗
DOI / persistent id · from phys techsciences datastations nl
Catalogue records · 1
- Dataverse API phys-techsciences.datastations.nl/api/datasets/:persistentId/?persistentId=doi%3A10.17026%2FDANS… ↗
metadata API · from phys techsciences datastations nl
Topics
- Stated by source
- Earth and Environmental Sciences
- From keywords
- Earth & Environmental Science
- Inferred from text
- Image 65% · Satellite remote sensing 65%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DANS Data Station Physical and Technical Sciences | doi:10.17026/DANS-X6C-Y7X2 | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].dataverse_subject:earth-and-environmental-sciences | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | /subjects |
| concepts[field].local:field:earth-environmental | mapping · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | /subjects |
| concepts[modality].local:modality:image | enrichment · phys techsciences datastations nl | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[modality].local:modality:remote-sensing | enrichment · phys techsciences datastations nl | keyword-concept-rules@1.0.0 | title+description (65%) |
| created_date | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | |
| description | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | /description |
| publication_date | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | |
| title | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | /name |
| updated_date | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 | |
| version_label | source · phys techsciences datastations nl | connector:phys_techsciences_datastations_nl@1.0.0 |