{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T02:39:54Z","timestamp":1773801594473,"version":"3.50.1"},"reference-count":56,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2021,10,17]],"date-time":"2021-10-17T00:00:00Z","timestamp":1634428800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000844","name":"European Space Agency","doi-asserted-by":"publisher","award":["4000126706\/19\/I-NB"],"award-info":[{"award-number":["4000126706\/19\/I-NB"]}],"id":[{"id":"10.13039\/501100000844","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Fire"],"abstract":"<jats:p>We present an analysis of the spatio-temporal trends derived from long-term burned area (BA) data series. Two global BA products were included in our analysis, the FireCCI51 (2001\u20132019) and the FireCCILT11 (1982\u20132018) datasets. The former was generated from Moderate Resolution Imaging Spectroradiometer (MODIS) 250 m reflectance data, guided by 1 km active fires. The FireCCILT11 dataset was generated from Land Long-Term Data Record data (0.05\u00b0), which provides a consistent time series for Advanced Very High Resolution Radiometer images, acquired from the NOAA satellite series. FireCCILT11 is the longest time series of a BA product currently available, making it possible to carry out temporal analysis of long-term trends. Both products were developed under the FireCCI project of the European Space Agency. The two datasets were pre-processed to correct for temporal autocorrelation. Unburnable areas were removed and the lack of the FireCCILT11 data in 1994 was examined to evaluate the impact of this gap on the BA trends. An analysis and comparison between the two BA products was performed using a contextual approach. Results of the contextual Mann-Kendall analysis identified significant trends in both datasets, with very different regional values. The long-term series presented larger clusters than the short-term ones. Africa displayed significant decreasing trends in the short-term, and increasing trends in the long-term data series, except in the east. In the long-term series, Eastern Africa, boreal regions, Central Asia and South Australia showed large BA decrease clusters, and Western and Central Africa, South America, USA and North Australia presented BA increase clusters.<\/jats:p>","DOI":"10.3390\/fire4040074","type":"journal-article","created":{"date-parts":[[2021,10,18]],"date-time":"2021-10-18T13:59:52Z","timestamp":1634565592000},"page":"74","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Analysis of Trends in the FireCCI Global Long Term Burned Area Product (1982\u20132018)"],"prefix":"10.3390","volume":"4","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3299-6442","authenticated-orcid":false,"given":"Gonzalo","family":"Ot\u00f3n","sequence":"first","affiliation":[{"name":"Grupo de Investigaci\u00f3n en Teledetecci\u00f3n Ambiental, Departamento de Geolog\u00eda, Geograf\u00eda y Medio Ambiente, Universidad de Alcal\u00e1, Colegios 2, 28801 Alcal\u00e1 de Henares, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2583-3669","authenticated-orcid":false,"given":"Jos\u00e9 Miguel C.","family":"Pereira","sequence":"additional","affiliation":[{"name":"Forest Research Centre, School of Agriculture, University of Lisbon, Tapada da Ajuda, 1349-017 Lisbon, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5201-9836","authenticated-orcid":false,"given":"Jo\u00e3o M. N.","family":"Silva","sequence":"additional","affiliation":[{"name":"Forest Research Centre, School of Agriculture, University of Lisbon, Tapada da Ajuda, 1349-017 Lisbon, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5618-4759","authenticated-orcid":false,"given":"Emilio","family":"Chuvieco","sequence":"additional","affiliation":[{"name":"Grupo de Investigaci\u00f3n en Teledetecci\u00f3n Ambiental, Departamento de Geolog\u00eda, Geograf\u00eda y Medio Ambiente, Universidad de Alcal\u00e1, Colegios 2, 28801 Alcal\u00e1 de Henares, Spain"}]}],"member":"1968","published-online":{"date-parts":[[2021,10,17]]},"reference":[{"key":"ref_1","unstructured":"GCOS (2016). The Global Observing System for Climate: Implementation Needs, World Meteorological Organization. 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