{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,28]],"date-time":"2026-03-28T03:59:08Z","timestamp":1774670348268,"version":"3.50.1"},"reference-count":43,"publisher":"MDPI AG","issue":"23","license":[{"start":{"date-parts":[[2021,12,4]],"date-time":"2021-12-04T00:00:00Z","timestamp":1638576000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012261","name":"Ministry of the Interior and Safety","doi-asserted-by":"publisher","award":["2021-MOIS37-003"],"award-info":[{"award-number":["2021-MOIS37-003"]}],"id":[{"id":"10.13039\/501100012261","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The purpose of this study is to understand the characteristics of the spatial distribution of forest fire occurrences with the local indicators of temporal burstiness in Korea. Forest fire damage data were produced in the form of areas by combining the forest fire damage ledger information with VIIRS-based forest fire occurrence data. Then, detrended fluctuation analysis and the local indicator of temporal burstiness were applied. In the results, the forest fire occurrence follows a self-organized criticality mechanism, and the temporal irregularities of fire occurrences exist. When the forest fire occurrence time series in Gyeonggi-do Province, which had the highest value of the local indicator of temporal burstiness, was checked, it was found that the frequency of forest fires was increasing at intervals of about 10 years. In addition, when the frequencies of forest fires and the spatial distribution of the local indicators of forest fire occurrences were compared, it was found that there were spatial differences in the occurrence of forest fires. This study is meaningful in that it analyzed the time series characteristics of the distribution of forest fires in Korea to understand that forest fire occurrences have long-term temporal correlations and identified areas where the temporal irregularities of forest fire occurrences are remarkable with the local indicators of temporal burstiness.<\/jats:p>","DOI":"10.3390\/rs13234940","type":"journal-article","created":{"date-parts":[[2021,12,6]],"date-time":"2021-12-06T03:10:38Z","timestamp":1638760238000},"page":"4940","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Characteristics of Spatiotemporal Changes in the Occurrence of Forest Fires"],"prefix":"10.3390","volume":"13","author":[{"given":"Taehee","family":"Kim","sequence":"first","affiliation":[{"name":"Department of Geography, Kyung Hee University, Seoul 02447, Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1825-4191","authenticated-orcid":false,"given":"Suyeon","family":"Hwang","sequence":"additional","affiliation":[{"name":"Department of Geography, Kyung Hee University, Seoul 02447, Korea"}]},{"given":"Jinmu","family":"Choi","sequence":"additional","affiliation":[{"name":"Department of Geography, Kyung Hee University, Seoul 02447, Korea"}]}],"member":"1968","published-online":{"date-parts":[[2021,12,4]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1007\/s41324-019-00275-z","article-title":"MODIS based forest fire hotspot analysis and its relationship with climatic variables","volume":"28","author":"Kumari","year":"2020","journal-title":"Spat. 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