{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T23:05:24Z","timestamp":1790895924798,"version":"4.1.0"},"reference-count":17,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2019,12,25]],"date-time":"2019-12-25T00:00:00Z","timestamp":1577232000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"McClure Scholarship Program, University of Tennessee, Knoxville","award":["NA"],"award-info":[{"award-number":["NA"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Data"],"abstract":"<jats:p>Landslides are a frequent natural hazard in Chittagong Hilly Areas (CHA), Bangladesh, which causes the loss of lives and damage to the economy. Despite this, an official landslide inventory is still lacking in this area. In this paper, we present a landslide inventory of this area prepared using the visual interpretation of Google Earth images (Google Earth Mapping), field mapping, and a literature search. We mapped 730 landslides that occurred from January 2001 to March 2017. Different landslide attributes including type, size, distribution, state, water content, and triggers are presented in the dataset. In this area, slide and flow were the two dominant types of landslides. Out of the five districts (Bandarban, Chittagong, Cox\u2019s Bazar, Khagrachari, and Rangamati), most (55%) of the landslides occurred in the Chittagong and Rangamati districts. About 45% of the landslides were small (&lt;100 m2) in size, while the maximum size of the detected landslides was 85202 m2. This dataset will help to understand the characteristics of landslides in CHA and provide useful guidance for policy implementation.<\/jats:p>","DOI":"10.3390\/data5010004","type":"journal-article","created":{"date-parts":[[2019,12,25]],"date-time":"2019-12-25T11:07:48Z","timestamp":1577272068000},"page":"4","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":26,"title":["Landslide Inventory (2001\u20132017) of Chittagong Hilly Areas, Bangladesh"],"prefix":"10.3390","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4417-6580","authenticated-orcid":false,"given":"Yasin Wahid","family":"Rabby","sequence":"first","affiliation":[{"name":"Department of Geography, University of Tennessee, Knoxville, TN 37916, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3722-8960","authenticated-orcid":false,"given":"Yingkui","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Geography, University of Tennessee, Knoxville, TN 37916, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2019,12,25]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1016\/j.earscirev.2012.02.001","article-title":"Landslide inventory maps: New tools for an old problem","volume":"112","author":"Guzzetti","year":"2012","journal-title":"Earth Sci. 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Available online: https:\/\/www.researchgate.net\/publication\/308171472_Landslide_Inventory_in_an_Urban_Setting_in_the_Context_of_Chittagong_Metropolitan_Area_Bangladesh."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"306","DOI":"10.1016\/j.geomorph.2015.07.035","article-title":"Generating landslide inventory by participatory mapping: An example in Purwosari Area, Yogyakarta, Java","volume":"306","author":"Samodra","year":"2018","journal-title":"Geomorphology"}],"container-title":["Data"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2306-5729\/5\/1\/4\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T13:45:33Z","timestamp":1760190333000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2306-5729\/5\/1\/4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12,25]]},"references-count":17,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2020,3]]}},"alternative-id":["data5010004"],"URL":"https:\/\/doi.org\/10.3390\/data5010004","relation":{"has-preprint":[{"id-type":"doi","id":"10.20944\/preprints201911.0269.v1","asserted-by":"object"}]},"ISSN":["2306-5729"],"issn-type":[{"value":"2306-5729","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,12,25]]}}}