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We aimed to construct a comprehensive drought index (CDI), coupling soil-vegetation-atmosphere drought and heat conditions based on multi-source information, and to combine it with static and dynamic drought hazard evaluation models to analyze the spatial and temporal distribution characteristics of agricultural drought disasters and hazards during the growing season (May to September) in Northeast China (NEC). The results demonstrated that the CDI could combine the benefits of meteorology (standardized precipitation evapotranspiration index, SPEI), vegetation (vegetation health index, VHI), and soil (standardized soil moisture condition index, SMCI) indices. This was performed using a relative weighting method based on the remote sensing data of solar-induced chlorophyll fluorescence (SIF) to determine the weights of SPEI, VHI, and SMCI. The CDI for drought monitoring has the advantages of broad spatial range, long time range, and high accuracy, and can effectively reflect agricultural drought; the growing season in NEC showed a trend of becoming drier during 1982\u20132020. However, the trends of the drought index, the impact range of drought events, and the hazard of agricultural drought all turned around 2000. The drought hazard was highly significant (p &lt; 0.001) and decreased from 2000 to 2020. The frequency of drought disasters was the highest, and the hazard was the greatest in May. The best level of climatic yield anomalies in maize were explained by drought hazard in August (R2 = 0.28). In the center and western portions of the study area, farmland and grassland areas were where higher levels of hazard were most commonly seen. The dynamic hazard index is significantly correlated with climatic yield anomalies and can reflect the actual impact of drought on crop yield. The study results serve as a scientific foundation for drought risk assessment and management, agricultural planning, and the formulation of drought adaptation policies, as well as for ensuring food security in China.<\/jats:p>","DOI":"10.3390\/rs15010057","type":"journal-article","created":{"date-parts":[[2022,12,23]],"date-time":"2022-12-23T03:26:25Z","timestamp":1671765985000},"page":"57","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["Dynamic Evaluation of Agricultural Drought Hazard in Northeast China Based on Coupled Multi-Source Data"],"prefix":"10.3390","volume":"15","author":[{"given":"Kaiwei","family":"Li","sequence":"first","affiliation":[{"name":"School of Environment, Northeast Normal University, Changchun 130024, China"},{"name":"Jilin Province Science and Technology Innovation Center of Agro-Meteorological Disaster Risk Assessment and Prevention, Northeast Normal University, Changchun 130024, China"},{"name":"Key Laboratory for Vegetation Ecology, Ministry of Education, Changchun 130024, China"},{"name":"State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, Northeast Normal University, Changchun 130024, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chunyi","family":"Wang","sequence":"additional","affiliation":[{"name":"Chinese Academy of Meteorological Sciences, Beijing 100081, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guangzhi","family":"Rong","sequence":"additional","affiliation":[{"name":"School of Environment, Northeast Normal University, Changchun 130024, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sicheng","family":"Wei","sequence":"additional","affiliation":[{"name":"School of Environment, Northeast Normal University, Changchun 130024, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cong","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Environment, Northeast Normal University, Changchun 130024, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yueting","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Environment, Northeast Normal University, Changchun 130024, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bilige","family":"Sudu","sequence":"additional","affiliation":[{"name":"School of Environment, Northeast Normal University, Changchun 130024, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ying","family":"Guo","sequence":"additional","affiliation":[{"name":"School of Environment, Northeast Normal University, Changchun 130024, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7221-2246","authenticated-orcid":false,"given":"Qing","family":"Sun","sequence":"additional","affiliation":[{"name":"Chinese Academy of Meteorological Sciences, Beijing 100081, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiquan","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Environment, Northeast Normal University, Changchun 130024, China"},{"name":"Jilin Province Science and Technology Innovation Center of Agro-Meteorological Disaster Risk Assessment and Prevention, Northeast Normal University, Changchun 130024, China"},{"name":"Key Laboratory for Vegetation Ecology, Ministry of Education, Changchun 130024, China"},{"name":"State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, Northeast Normal University, Changchun 130024, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,12,22]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"105850","DOI":"10.1016\/j.atmosres.2021.105850","article-title":"Drought monitoring based on a new combined remote sensing index across the transitional area between humid and arid regions in China","volume":"264","author":"Zhang","year":"2021","journal-title":"Atmos. 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