{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T17:51:17Z","timestamp":1783533077032,"version":"3.55.0"},"reference-count":85,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2023,6,8]],"date-time":"2023-06-08T00:00:00Z","timestamp":1686182400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Major Projects on High-Resolution Earth Observation System","award":["21-Y20B01-9001-19\/22"],"award-info":[{"award-number":["21-Y20B01-9001-19\/22"]}]},{"name":"National Major Projects on High-Resolution Earth Observation System","award":["YWJSGG-202310"],"award-info":[{"award-number":["YWJSGG-202310"]}]},{"name":"Chongqing Meteorological Department Business Technology Research Project","award":["21-Y20B01-9001-19\/22"],"award-info":[{"award-number":["21-Y20B01-9001-19\/22"]}]},{"name":"Chongqing Meteorological Department Business Technology Research Project","award":["YWJSGG-202310"],"award-info":[{"award-number":["YWJSGG-202310"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Global climate change, especially extreme drought events, presents a complicated challenge to humanity and Earth\u2019s system in the 21st century. As an extremely important carbon sink region in China, Southwest China has encountered frequent drought disasters in recent decades. It is critical to explore the frequency, duration, severity, and other associated characteristics of drought events as well as their spatial and temporal patterns in the region from a long-term perspective. In this study, we used the latest dataset from the Spanish National Research Council (CSIC) between 1901 and 2018 to extract all drought events by calculating the standardized anomaly of the Standardized Precipitation Evapotranspiration Index (SPEI). Theil\u2013Sen median trend analysis, the Mann\u2013Kendall test, and the moving t-test were used to reveal the spatial trend and mutation point of drought severity. The results showed that (1) The standardized anomaly of the 3-month SPEI can accurately identify drought events in Southwest China. In total, 72 drought events occurred during this period, of which the consecutive drought in autumn, winter, and spring from 2009 to 2010 lasted the longest, having the most substantial severity and the most extensive damage range. (2) Drought events mainly started in spring and early summer and ended in autumn and winter. The distribution of drought was the most expansive and the drought severity was the most serious in September. (3) In terms of spatial pattern, Guangxi has the highest frequency of drought events, with some areas experiencing up to 100 events. The average duration of drought events ranged between 3.5 and 5.5 months, with most lasting for 4\u20135 months. The most severe drought areas are mainly concentrated in southern Sichuan and western Yunnan. Overall, the severity of drought events in the west were generally higher compared to that in the east. (4) Over the past 120 years, most of the region (82.46%) showed an increasing trend in drought severity, with a slope of up to \u22120.01. About 15.12% of the areas exhibited a significant drying trend (p &lt; 0.05), particularly in southern Sichuan, eastern Guizhou, and northern and southern Yunnan. Such analyses can serve as a scientific foundation for developing drought prevention and mitigation measures as well as exploring how drought events affect the structure and function of terrestrial ecosystems in Southwest China.<\/jats:p>","DOI":"10.3390\/rs15123008","type":"journal-article","created":{"date-parts":[[2023,6,9]],"date-time":"2023-06-09T02:03:18Z","timestamp":1686276198000},"page":"3008","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":23,"title":["Spatial and Temporal Characteristics of Drought Events in Southwest China over the Past 120 Years"],"prefix":"10.3390","volume":"15","author":[{"given":"Ying","family":"Wang","sequence":"first","affiliation":[{"name":"Chongqing Engineering Research Center for Remote Sensing Big Data Application, School of Geographical Sciences, Southwest University, Chongqing 400715, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-6716-6032","authenticated-orcid":false,"given":"Yuanmou","family":"Wang","sequence":"additional","affiliation":[{"name":"China Meteorological Administration Economic Transformation of Climate Resources Key Laboratory, Chongqing Meteorological Service Centre, Chongqing 401147, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanan","family":"Chen","sequence":"additional","affiliation":[{"name":"Chongqing Engineering Research Center for Remote Sensing Big Data Application, School of Geographical Sciences, Southwest University, Chongqing 400715, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huan","family":"Chen","sequence":"additional","affiliation":[{"name":"China Meteorological Administration Economic Transformation of Climate Resources Key Laboratory, Chongqing Meteorological Service Centre, Chongqing 401147, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xingting","family":"Li","sequence":"additional","affiliation":[{"name":"Chongqing Engineering Research Center for Remote Sensing Big Data Application, School of Geographical Sciences, Southwest University, Chongqing 400715, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhi","family":"Ding","sequence":"additional","affiliation":[{"name":"Chongqing Engineering Research Center for Remote Sensing Big Data Application, School of Geographical Sciences, Southwest University, Chongqing 400715, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8290-9837","authenticated-orcid":false,"given":"Xujun","family":"Han","sequence":"additional","affiliation":[{"name":"Chongqing Engineering Research Center for Remote Sensing Big Data Application, School of Geographical Sciences, Southwest University, Chongqing 400715, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3096-4228","authenticated-orcid":false,"given":"Xuguang","family":"Tang","sequence":"additional","affiliation":[{"name":"Chongqing Engineering Research Center for Remote Sensing Big Data Application, School of Geographical Sciences, Southwest University, Chongqing 400715, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,6,8]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"180028","DOI":"10.1038\/sdata.2018.28","article-title":"Tracking vegetation phenology across diverse North American biomes using PhenoCam imagery","volume":"5","author":"Richardson","year":"2018","journal-title":"Sci. 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