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Agricultural University Introduction, and Stabilization of Talent Fund","award":["2108085QD157"],"award-info":[{"award-number":["2108085QD157"]}]},{"name":"nhui Agricultural University Introduction, and Stabilization of Talent Fund","award":["1908085QD171"],"award-info":[{"award-number":["1908085QD171"]}]},{"name":"nhui Agricultural University Introduction, and Stabilization of Talent Fund","award":["41905100"],"award-info":[{"award-number":["41905100"]}]},{"name":"nhui Agricultural University Introduction, and Stabilization of Talent Fund","award":["2018YFD0300905"],"award-info":[{"award-number":["2018YFD0300905"]}]},{"name":"nhui Agricultural University Introduction, and Stabilization of Talent Fund","award":["2018zd07"],"award-info":[{"award-number":["2018zd07"]}]},{"name":"nhui Agricultural University Introduction, and Stabilization of Talent Fund","award":["yj2018-57"],"award-info":[{"award-number":["yj2018-57"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Monitoring drought precisely and evaluating drought effects quantitatively can establish a scientific foundation for understanding drought. Although solar-induced chlorophyll fluorescence (SIF) can detect the drought stress in advance, the performance of SIF in monitoring drought and assessing drought-induced gross primary productivity (GPP) losses from lush to senescence remains to be further studied. Taking the 2019 drought in the middle and lower reaches of the Yangtze River (MLRYR) as an example, this study aims to monitor and assess this drought by employing a new global, OCO-2-based SIF (GOSIF) and vegetation indexes (VIs). Results showed that the GPP, GOSIF, and VIs all exhibited significant increasing trends during 2000\u20132020. GOSIF was most consistent with GPP in spatial distribution and was most correlated with GPP in both annual (linear correlation, R2 = 0.87) and monthly (polynomial correlation, R2 = 0.976) time scales by comparing with VIs. During July\u2013December 2019, the precipitation (PPT), soil moisture, and standardized precipitation evapotranspiration index (SPEI) were generally below the averages during 2011\u20132020 and reached their lowest point in November, while those of air temperature (Tem), land surface temperature (LST), and photosynthetically active radiation (PAR) were the contrary. For drought monitoring, the spatial distributions of standardized anomalies of GOSIF and VIs were consistent during August\u2013October 2019. In November and December, however, considering vegetation has entered the senescence stage, SIF had an obvious early response in vegetation physiological state monitoring compared with VIs, while VIs can better indicate meteorological drought conditions than SIF. For drought assessment, the spatial distribution characteristics of GOSIF and its standardized anomaly were both most consistent with that of GPP, especially the standardized anomaly in November and December. All the above phenomena verified the good spatial consistency between SIF and GPP and the superior ability of SIF in capturing and quantifying drought-induced GPP losses. Results of this study will improve the understanding of the prevention and reduction in agrometeorological disasters and can provide an accurate and timely method for drought monitoring.<\/jats:p>","DOI":"10.3390\/rs14112569","type":"journal-article","created":{"date-parts":[[2022,5,31]],"date-time":"2022-05-31T02:30:06Z","timestamp":1653964206000},"page":"2569","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["Monitoring 2019 Drought and Assessing Its Effects on Vegetation Using Solar-Induced Chlorophyll Fluorescence and Vegetation Indexes in the Middle and Lower Reaches of Yangtze River, China"],"prefix":"10.3390","volume":"14","author":[{"given":"Meng","family":"Li","sequence":"first","affiliation":[{"name":"College of Resources and Environment, Anhui Agricultural University, Hefei 230036, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5195-6681","authenticated-orcid":false,"given":"Ronghao","family":"Chu","sequence":"additional","affiliation":[{"name":"Anhui Public Meteorological Service Center, Anhui Meteorological Bureau, Hefei 230031, China"}]},{"given":"Xiuzhu","family":"Sha","sequence":"additional","affiliation":[{"name":"The Weather Modification Center of Henan Province, Zhengzhou 450003, China"}]},{"given":"Pengfei","family":"Xie","sequence":"additional","affiliation":[{"name":"College of Resources and Environment, Anhui Agricultural University, Hefei 230036, China"}]},{"given":"Feng","family":"Ni","sequence":"additional","affiliation":[{"name":"College of Resources and Environment, Anhui Agricultural University, Hefei 230036, China"}]},{"given":"Chao","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Resources and Environment, Anhui Agricultural University, Hefei 230036, China"}]},{"given":"Yuelin","family":"Jiang","sequence":"additional","affiliation":[{"name":"College of Resources and Environment, Anhui Agricultural University, Hefei 230036, China"}]},{"given":"Shuanghe","family":"Shen","sequence":"additional","affiliation":[{"name":"Key Laboratory of Meteorological Disaster, Ministry of Education (KLME), Joint International Research Laboratory of Climate and Environment Change (ILCEC), Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Jiangsu Key Laboratory of Agricultural Meteorology, College of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5779-1382","authenticated-orcid":false,"given":"Abu Reza Md. Towfiqul","family":"Islam","sequence":"additional","affiliation":[{"name":"Department of Disaster Management, Begum Rokeya University, Rangpur 5400, Bangladesh"}]}],"member":"1968","published-online":{"date-parts":[[2022,5,27]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Tian, F., Wu, J., Liu, L., Leng, S., Yang, J., Zhao, W., and Shen, Q. (2020). Exceptional Drought across Southeastern Australia Caused by Extreme Lack of Precipitation and Its Impacts on NDVI and SIF in 2018. 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