{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T14:51:26Z","timestamp":1783522286362,"version":"3.55.0"},"reference-count":94,"publisher":"MDPI AG","issue":"16","license":[{"start":{"date-parts":[[2023,8,9]],"date-time":"2023-08-09T00:00:00Z","timestamp":1691539200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundations of China","doi-asserted-by":"publisher","award":["42061071"],"award-info":[{"award-number":["42061071"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundations of China","doi-asserted-by":"publisher","award":["AD20297027"],"award-info":[{"award-number":["AD20297027"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundations of China","doi-asserted-by":"publisher","award":["2021GXNSFBA220061"],"award-info":[{"award-number":["2021GXNSFBA220061"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundations of China","doi-asserted-by":"publisher","award":["2021KY0397"],"award-info":[{"award-number":["2021KY0397"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Special Project for Technology Base and Talent of Guangxi","award":["42061071"],"award-info":[{"award-number":["42061071"]}]},{"name":"Special Project for Technology Base and Talent of Guangxi","award":["AD20297027"],"award-info":[{"award-number":["AD20297027"]}]},{"name":"Special Project for Technology Base and Talent of Guangxi","award":["2021GXNSFBA220061"],"award-info":[{"award-number":["2021GXNSFBA220061"]}]},{"name":"Special Project for Technology Base and Talent of Guangxi","award":["2021KY0397"],"award-info":[{"award-number":["2021KY0397"]}]},{"name":"Guangxi Natural Science Foundation Program","award":["42061071"],"award-info":[{"award-number":["42061071"]}]},{"name":"Guangxi Natural Science Foundation Program","award":["AD20297027"],"award-info":[{"award-number":["AD20297027"]}]},{"name":"Guangxi Natural Science Foundation Program","award":["2021GXNSFBA220061"],"award-info":[{"award-number":["2021GXNSFBA220061"]}]},{"name":"Guangxi Natural Science Foundation Program","award":["2021KY0397"],"award-info":[{"award-number":["2021KY0397"]}]},{"name":"2021 annual young teachers basic capacity improvement project of Universities in Guangxi","award":["42061071"],"award-info":[{"award-number":["42061071"]}]},{"name":"2021 annual young teachers basic capacity improvement project of Universities in Guangxi","award":["AD20297027"],"award-info":[{"award-number":["AD20297027"]}]},{"name":"2021 annual young teachers basic capacity improvement project of Universities in Guangxi","award":["2021GXNSFBA220061"],"award-info":[{"award-number":["2021GXNSFBA220061"]}]},{"name":"2021 annual young teachers basic capacity improvement project of Universities in Guangxi","award":["2021KY0397"],"award-info":[{"award-number":["2021KY0397"]}]},{"name":"Guangxi First-class Discipline Statistics Construction Project Fund","award":["42061071"],"award-info":[{"award-number":["42061071"]}]},{"name":"Guangxi First-class Discipline Statistics Construction Project Fund","award":["AD20297027"],"award-info":[{"award-number":["AD20297027"]}]},{"name":"Guangxi First-class Discipline Statistics Construction Project Fund","award":["2021GXNSFBA220061"],"award-info":[{"award-number":["2021GXNSFBA220061"]}]},{"name":"Guangxi First-class Discipline Statistics Construction Project Fund","award":["2021KY0397"],"award-info":[{"award-number":["2021KY0397"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Under the background of global warming, seasonal drought has become frequent and intensified in many parts of the world in recent years. Drought is one of the most widespread and severe natural disasters, and poses a serious threat to normal sugarcane growth and yield. However, a deep understanding of sugarcane responses to drought stress remains limited, especially at a large spatial scale. In this work, we used the traditional vegetation index (enhanced vegetation index, EVI) and newly downscaled satellite solar-induced chlorophyll fluorescence (SIF) to investigate the impacts of drought on sugarcane in a major sugarcane-planting region of China (Chongzuo City, Southwest China). The results showed that Chongzuo City experienced an extremely severe drought event during the critical growth periods of sugarcane from August to November 2009. During the early stage of the 2009 drought, sugarcane SIF exhibited a quick negative response with a reduction of approximately 2.5% from the multiyear mean in late August 2009, while EVI was not able to capture the drought stress until late September 2009. Compared with EVI, sugarcane SIF shows more pronounced responses to drought stress during the later stage of drought, especially after late September 2009. SIF anomalies can closely capture the spatial and temporal dynamics of drought stress on sugarcane during this drought event. We also found that sugarcane SIF can provide earlier and much more pronounced physiological responses (as indicated by fluorescence yield) than structural responses (as indicated by the fraction of photosynthetically active radiation) to drought stress. Our results suggest that the satellite SIF has a great potential for sugarcane drought monitoring in a timely manner at a large spatial scale. These results are important for developing early warning models for sugarcane drought monitoring, and provide reliable information for developing measures to relieve the negative impacts of drought on sugarcane yield and regional economics.<\/jats:p>","DOI":"10.3390\/rs15163937","type":"journal-article","created":{"date-parts":[[2023,8,9]],"date-time":"2023-08-09T10:21:50Z","timestamp":1691576510000},"page":"3937","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Downscaled Satellite Solar-Induced Chlorophyll Fluorescence Detects the Early Response of Sugarcane to Drought Stress in a Major Sugarcane-Planting Region of China"],"prefix":"10.3390","volume":"15","author":[{"given":"Ni","family":"Yang","sequence":"first","affiliation":[{"name":"School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China"},{"name":"School of Management Science and Engineering, Guangxi University of Finance and Economics, Nanning 530003, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shunping","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Computer Science, China University of Geosciences, Wuhan 430074, China"},{"name":"National Engineering Research Center for Geographic Information System, China University of Geosciences, Wuhan 430074, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haoyue","family":"Qian","sequence":"additional","affiliation":[{"name":"School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shulin","family":"Deng","sequence":"additional","affiliation":[{"name":"School of Geography and Planning, Nanning Normal University, Nanning 530001, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,8,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1208","DOI":"10.1016\/j.scitotenv.2017.12.268","article-title":"Evaluating the utility of solar-induced chlorophyll fluorescence for drought monitoring by comparison with NDVI derived from wheat canopy","volume":"625","author":"Liu","year":"2018","journal-title":"Sci. Total Environ."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1038\/nclimate1633","article-title":"Increasing drought under global warming in observations and models","volume":"3","author":"Dai","year":"2013","journal-title":"Nat. Clim. Chang."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"202","DOI":"10.1016\/j.jhydrol.2010.07.012","article-title":"A review of drought concepts","volume":"391","author":"Mishra","year":"2010","journal-title":"J. Hydrol."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1016\/j.gloplacha.2015.01.003","article-title":"Climate change impacts on meteorological, agricultural and hydrological droughts in China","volume":"126","author":"Leng","year":"2015","journal-title":"Glob. Planet. Chang."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"668","DOI":"10.1016\/j.jhydrol.2015.05.031","article-title":"Drought characterization from a multivariate perspective: A review","volume":"527","author":"Hao","year":"2015","journal-title":"J. Hydrol."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"111419","DOI":"10.1016\/j.rse.2019.111419","article-title":"Monitoring agricultural drought in Australia using MTSAT-2 land surface temperature retrievals","volume":"236","author":"Hu","year":"2020","journal-title":"Remote Sens. Environ."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"111951","DOI":"10.1016\/j.rse.2020.111951","article-title":"Mapping sugarcane plantation dynamics in Guangxi, China, by time series Sentinel-1, Sentinel-2 and Landsat images","volume":"247","author":"Wang","year":"2020","journal-title":"Remote Sens. Environ."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s12355-014-0342-1","article-title":"Sugarcane Agriculture and Sugar Industry in China","volume":"17","author":"Li","year":"2014","journal-title":"Sugar Tech."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"452","DOI":"10.1002\/2014RG000456","article-title":"Remote sensing of drought: Progress, challenges and opportunities","volume":"53","author":"AghaKouchak","year":"2015","journal-title":"Rev. Geophys."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"949","DOI":"10.3390\/rs5020949","article-title":"Advances in Remote Sensing of Agriculture: Context Description, Existing Operational Monitoring Systems and Major Information Needs","volume":"5","author":"Atzberger","year":"2013","journal-title":"Remote Sens."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1177\/0309133310385371","article-title":"Satellite remote sensing of mangrove forests: Recent advances and future opportunities","volume":"35","author":"Heumann","year":"2011","journal-title":"Prog. Phys. Geogr. Earth Environ."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"124905","DOI":"10.1016\/j.jhydrol.2020.124905","article-title":"A review of remote sensing applications in agriculture for food security: Crop growth and yield, irrigation, and crop losses","volume":"586","author":"Karthikeyan","year":"2020","journal-title":"J. Hydrol."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1679","DOI":"10.1016\/j.proenv.2010.10.179","article-title":"The Impact of Sustained Drought on Vegetation Ecosystem in Southwest China Based on Remote Sensing","volume":"2","author":"Wang","year":"2010","journal-title":"Procedia Environ. Sci."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"L07402","DOI":"10.1029\/2011GL046824","article-title":"Widespread decline in greenness of Amazonian vegetation due to the 2010 drought","volume":"38","author":"Xu","year":"2011","journal-title":"Geophys. Res. Lett."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1016\/S0034-4257(03)00174-3","article-title":"Assessing vegetation response to drought in the northern Great Plains using vegetation and drought indices","volume":"87","author":"Ji","year":"2003","journal-title":"Remote Sens. Environ."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"915","DOI":"10.1007\/s00704-018-2527-0","article-title":"Characteristics of vegetation activity and its responses to climate change in desert\/grassland biome transition zones in the last 30 years based on GIMMS3g","volume":"136","author":"Hou","year":"2018","journal-title":"Theor. Appl. Clim."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"626","DOI":"10.1016\/j.rse.2009.11.003","article-title":"Responses of the reflectance indices PRI and NDVI to experimental warming and drought in European shrublands along a north\u2013south climatic gradient","volume":"114","author":"Hallik","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"2270","DOI":"10.1890\/06-1195.1","article-title":"Woody plant richness and NDVI re-sponse to drought events in Catalonian (northeastern Spain) forests","volume":"88","author":"Lloret","year":"2007","journal-title":"Ecology"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1484","DOI":"10.1111\/j.1365-2486.2007.01352.x","article-title":"Can we measure terrestrial photosynthesis from space directly, using spectral reflectance and fluorescence?","volume":"13","author":"Grace","year":"2007","journal-title":"Glob. Chang. Biol."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1632","DOI":"10.1002\/2014GL062943","article-title":"Red and far red Sun-induced chlorophyll fluorescence as a measure of plant photosynthesis","volume":"42","author":"Rossini","year":"2015","journal-title":"Geophys. Res. Lett."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1016\/j.rse.2015.06.004","article-title":"Far-red sun-induced chlorophyll fluorescence shows ecosystem-specific relationships to gross primary produc-tion: An assessment based on observational and modeling approaches","volume":"166","author":"Damm","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"2427","DOI":"10.1002\/2015JG003150","article-title":"Drought onset mechanisms revealed by satellite solar-induced chlorophyll fluorescence: Insights from two contrasting extreme events","volume":"120","author":"Sun","year":"2015","journal-title":"J. Geophys. Res. Biogeosci."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"2121","DOI":"10.1080\/01431169408954231","article-title":"Modelling relationships between NDVI and precipitation during vegetative growth cycles","volume":"15","author":"DI","year":"1994","journal-title":"Int. J. Remote Sens."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"3469","DOI":"10.1111\/gcb.12948","article-title":"Simulations of chlorophyll fluorescence incorporated into the Community Land Model version 4","volume":"21","author":"Lee","year":"2015","journal-title":"Glob. Chang. Biol."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"347","DOI":"10.1016\/j.ecolind.2019.05.017","article-title":"Drought detection and assessment with so-lar-induced chlorophyll fluorescence in summer maize growth period over North China Plain","volume":"104","author":"Chen","year":"2019","journal-title":"Ecol. Indic."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"E1327","DOI":"10.1073\/pnas.1320008111","article-title":"Global and time-resolved monitoring of crop photosynthesis with chlorophyll fluorescence","volume":"111","author":"Guanter","year":"2014","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"4023","DOI":"10.1111\/gcb.14302","article-title":"Satellite sun-induced chlorophyll fluorescence detects early response of winter wheat to heat stress in the Indian Indo-Gangetic Plains","volume":"24","author":"Song","year":"2018","journal-title":"Glob. Chang. Biol."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"4065","DOI":"10.1093\/jxb\/eru191","article-title":"Linking chlorophyll a fluorescence to photosynthesis for remote sensing applications: Mechanisms and challenges","volume":"65","author":"Atherton","year":"2014","journal-title":"J. Exp. Bot."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"716","DOI":"10.1111\/gcb.13136","article-title":"Improving the monitoring of crop productivity using spaceborne solar-induced fluorescence","volume":"22","author":"Guan","year":"2015","journal-title":"Glob. Chang. Biol."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1016\/S0304-4165(89)80016-9","article-title":"The relationship between the quantum yield of photo-synthetic electron-transport and quenching of chlorophyll fluorescence","volume":"990","author":"Genty","year":"1989","journal-title":"Biochim. Bio-Phys. Acta"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"118","DOI":"10.1016\/j.agwat.2016.11.005","article-title":"The effect of drought stress on yield, leaf gaseous exchange and chlorophyll fluorescence of dry beans (Phaseolus vulgaris L.)","volume":"180","author":"Mathobo","year":"2017","journal-title":"Agric. Water Manag."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1016\/j.rse.2013.05.011","article-title":"Relationships between net photosynthesis and steady-state chlorophyll fluorescence retrieved from airborne hyperspectral imagery","volume":"136","author":"Catalina","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"716","DOI":"10.1002\/2016JG003580","article-title":"Effect of environmental conditions on the relationship between solar-induced fluorescence and gross primary productivity at an OzFlux grassland site","volume":"122","author":"Verma","year":"2017","journal-title":"J. Geophys. Res. Biogeosci."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"809","DOI":"10.5194\/amt-5-809-2012","article-title":"Filling-in of near-infrared solar lines by terrestrial fluorescence and other geophysical effects: Simulations and space-based observations from SCIAMACHY and GOSAT","volume":"5","author":"Joiner","year":"2012","journal-title":"Atmos. Meas. Tech."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"3939","DOI":"10.5194\/amt-9-3939-2016","article-title":"New methods for the retrieval of chlorophyll red fluorescence from hyperspectral satellite instruments: Simulations and application to GOME-2 and SCIAMACHY","volume":"9","author":"Joiner","year":"2016","journal-title":"Atmos. Meas. Tech."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"2803","DOI":"10.5194\/amt-6-2803-2013","article-title":"Global monitoring of terrestrial chlorophyll fluorescence from moderate-spectral-resolution near-infrared sat-ellite measurements: Methodology, simulations, and application to GOME-2","volume":"6","author":"Joiner","year":"2013","journal-title":"Atmos. Meas. Tech."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"2589","DOI":"10.5194\/amt-8-2589-2015","article-title":"A linear method for the retrieval of sun-induced chlorophyll fluorescence from GOME-2 and SCIAMACHY data","volume":"8","author":"Guanter","year":"2015","journal-title":"Atmos. Meas. Tech."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Frankenberg, C., Fisher, J.B., Worden, J., Badgley, G., Saatchi, S.S., Lee, J.-E., Toon, G.C., Butz, A., Jung, M., and Kuze, A. (2011). New global observations of the terrestrial carbon cycle from GOSAT: Patterns of plant fluorescence with gross primary productivity. Geophys. Res. Lett., 38.","DOI":"10.1029\/2011GL048738"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"1446","DOI":"10.1109\/LGRS.2015.2407051","article-title":"Simplified Physically Based Retrieval of Sun-Induced Chlorophyll Fluo-rescence From GOSAT Data","volume":"12","author":"Kohler","year":"2015","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"236","DOI":"10.1016\/j.rse.2012.02.006","article-title":"Retrieval and global assessment of terrestrial chlorophyll fluorescence from GOSAT space measurements","volume":"121","author":"Guanter","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.rse.2014.02.007","article-title":"Prospects for chlo-rophyll fluorescence remote sensing from the Orbiting Carbon Observatory-2","volume":"147","author":"Frankenberg","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"eaam5747","DOI":"10.1126\/science.aam5747","article-title":"OCO-2 advances photosynthesis observation from space via solar-induced chlorophyll fluorescence","volume":"358","author":"Sun","year":"2017","journal-title":"Science"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"111177","DOI":"10.1016\/j.rse.2019.04.030","article-title":"Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress","volume":"231","author":"Mohammed","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"1337","DOI":"10.5194\/amt-8-1337-2015","article-title":"Potential of the TROPOspheric Monitoring Instrument (TROPOMI) onboard the Sentinel-5 Precursor for the monitoring of terrestrial chlorophyll fluorescence","volume":"8","author":"Guanter","year":"2015","journal-title":"Atmos. Meas. Tech."},{"key":"ref_45","first-page":"10456","article-title":"Global Retrievals of Solar-Induced Chlorophyll Fluorescence With TROPOMI: First Results and Intersensor Comparison to OCO-2","volume":"45","author":"Frankenberg","year":"2018","journal-title":"Geophys. Res. Lett."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"1517","DOI":"10.5194\/gmd-11-1517-2018","article-title":"Assimilating solar-induced chlorophyll fluorescence into the terrestrial biosphere model BETHY-SCOPE v1.0: Model description and information content","volume":"11","author":"Norton","year":"2018","journal-title":"Geosci. Model Dev."},{"key":"ref_47","first-page":"37","article-title":"Retrieval of sun-induced chlorophyll fluorescence and advance-ments in carbon cycle application","volume":"23","author":"Zhang","year":"2019","journal-title":"J. Remote Sens."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"20130171","DOI":"10.1098\/rspb.2013.0171","article-title":"Forest productivity and water stress in Amazonia: Observations from GOSAT chlorophyll fluorescence","volume":"280","author":"Lee","year":"2013","journal-title":"Proc. R. Soc. B Boil. Sci."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"2860","DOI":"10.1109\/TGRS.2005.857906","article-title":"Detection of water stress in orchard trees with a high-resolution spectrometer through chlorophyll fluorescence in-filling of the O\/sub 2\/-A band","volume":"43","author":"Miller","year":"2005","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"1262","DOI":"10.1016\/j.rse.2009.02.016","article-title":"Imaging chlorophyll fluo-rescence with an airborne narrow-band multispectral camera for vegetation stress detection","volume":"113","author":"Berni","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1016\/j.rse.2015.06.008","article-title":"The 2010 Russian drought impact on satellite measurements of solar-induced chlorophyll fluorescence: Insights from modeling and comparisons with parameters derived from satellite reflectances","volume":"166","author":"Yoshida","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1016\/j.rse.2016.04.027","article-title":"Spatially downscaling sun-induced chlorophyll fluorescence leads to an improved temporal correlation with gross primary productivity","volume":"182","author":"Duveiller","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"3136","DOI":"10.1002\/2017GL076294","article-title":"Reconstructed Solar-Induced Fluorescence: A Machine Learning Vegetation Product Based on MODIS Surface Reflectance to Reproduce GOME-2 Solar-Induced Fluorescence","volume":"45","author":"Gentine","year":"2018","journal-title":"Geophys. Res. Lett."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"5779","DOI":"10.5194\/bg-15-5779-2018","article-title":"A global spatially contiguous solar-induced fluo-rescence (CSIF) dataset using neural networks","volume":"15","author":"Zhang","year":"2018","journal-title":"Biogeosciences"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"1101","DOI":"10.5194\/essd-12-1101-2020","article-title":"A spatially downscaled sun-induced fluorescence global product for enhanced monitoring of vegetation productivity","volume":"12","author":"Duveiller","year":"2020","journal-title":"Earth Syst. Sci. Data"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"168","DOI":"10.1080\/22797254.2022.2028579","article-title":"An improved downscaled sun-induced chlorophyll fluorescence (DSIF) product of GOME-2 dataset","volume":"55","author":"Ma","year":"2022","journal-title":"Eur. J. Remote Sens."},{"key":"ref_57","doi-asserted-by":"crossref","unstructured":"Li, X., and Xiao, J. (2019). A Global, 0.05-Degree Product of Solar-Induced Chlorophyll Fluorescence Derived from OCO-2, MODIS, and Reanalysis Data. Remote Sens., 11.","DOI":"10.3390\/rs11050517"},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"1777","DOI":"10.5194\/bg-19-1777-2022","article-title":"A convolutional neural network for spatial downscaling of satellite-based solar-induced chlorophyll fluorescence (SIFnet)","volume":"19","author":"Gensheimer","year":"2022","journal-title":"Biogeosciences"},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"113699","DOI":"10.1016\/j.rse.2023.113699","article-title":"Generating high-resolution total canopy SIF emission from TROPOMI data: Algo-rithm and application","volume":"295","author":"Zhang","year":"2023","journal-title":"Remote Sens. Environ."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"108801","DOI":"10.1016\/j.ecolind.2022.108801","article-title":"Downscaled solar-induced chlorophyll fluorescence has great potential for moni-toring the response of vegetation to drought in the Yellow River Basin, China: Insights from an extreme event","volume":"138","author":"Geng","year":"2022","journal-title":"Ecol. Indic."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"120000","DOI":"10.1016\/j.foreco.2021.120000","article-title":"Satellite evidence for China\u2019s leading role in restoring vegetation productivity over global karst ecosystems","volume":"507","author":"Tang","year":"2022","journal-title":"For. Ecol. Manag."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"163587","DOI":"10.1016\/j.scitotenv.2023.163587","article-title":"Increasing temperature regulates the advance of peak photosynthesis timing in the boreal ecosystem","volume":"882","author":"Li","year":"2023","journal-title":"Sci. Total Environ."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"603","DOI":"10.1007\/s12355-016-0480-8","article-title":"Sugar Industry and Improved Sugarcane Farming Technologies in China","volume":"18","author":"Li","year":"2016","journal-title":"Sugar Tech"},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1007\/s12355-014-0329-y","article-title":"Research and Development Priorities for Sugar Industry of China: Recent Research Highlights","volume":"17","author":"Li","year":"2014","journal-title":"Sugar Tech"},{"key":"ref_65","first-page":"550","article-title":"Exploitation and application of improved farm-ing-systems technologies in sugarcane productions in china","volume":"119","author":"Li","year":"2017","journal-title":"Int. Sugar J."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1038\/nature13265","article-title":"Widespread decline of Congo rainforest greenness in the past decade","volume":"509","author":"Zhou","year":"2014","journal-title":"Nature"},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1016\/j.rse.2015.02.022","article-title":"Comparison of four EVI-based models for estimating gross primary production of maize and soybean croplands and tallgrass prairie under severe drought","volume":"162","author":"Dong","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"214","DOI":"10.1016\/S0034-4257(02)00074-3","article-title":"Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data","volume":"83","author":"Myneni","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"1413","DOI":"10.5194\/essd-14-1413-2022","article-title":"Dataset of daily near-surface air temperature in China from 1979 to 2018","volume":"14","author":"Fang","year":"2022","journal-title":"Earth Syst. Sci. Data"},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"1696","DOI":"10.1175\/2009JCLI2909.1","article-title":"A Multiscalar Drought Index Sensitive to Global Warming: The Standardized Precipitation Evapotranspiration Index","volume":"23","year":"2010","journal-title":"J. Clim."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"1523","DOI":"10.1016\/j.scitotenv.2017.12.120","article-title":"Spatial and temporal characteristics of droughts in Central Asia during 1966\u20132015","volume":"624","author":"Guo","year":"2018","journal-title":"Sci. Total Environ."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1016\/j.scitotenv.2017.03.226","article-title":"Temporal and spatial evolution of the standardized precipitation evapotranspiration index (SPEI) in the Loess Plateau under climate change from 2001 to 2050","volume":"595","author":"Gao","year":"2017","journal-title":"Sci. Total Environ."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1016\/j.quaint.2014.06.021","article-title":"Tem-poral-spatial characteristics of severe drought events and their impact on agriculture on a global scale","volume":"349","author":"Wang","year":"2014","journal-title":"Quat. Int."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"143427","DOI":"10.1016\/j.scitotenv.2020.143427","article-title":"Divergent responses of ecosystem water-use efficiency to extreme seasonal droughts in Southwest China","volume":"760","author":"Wang","year":"2020","journal-title":"Sci. Total Environ."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.agrformet.2016.06.014","article-title":"Directly estimating diurnal changes in GPP for C3 and C4 crops using far-red sun-induced chlorophyll fluorescence","volume":"232","author":"Liu","year":"2017","journal-title":"Agric. For. Meteorol."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"661","DOI":"10.1007\/s11442-017-1399-z","article-title":"Contributions of climate change and human activities to ET and GPP trends over North China Plain from 2000 to 2014","volume":"27","author":"Chen","year":"2017","journal-title":"J. Geogr. Sci."},{"key":"ref_77","doi-asserted-by":"crossref","unstructured":"Tian, F., Wu, J., Liu, L., Leng, S., Yang, J., Zhao, W., and Shen, Q. (2019). Exceptional Drought across Southeastern Australia Caused by Extreme Lack of Precipitation and Its Impacts on NDVI and SIF in 2018. Remote Sens., 12.","DOI":"10.3390\/rs12010054"},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"1033","DOI":"10.1007\/s13157-015-0692-9","article-title":"Influences of Climate Extremes on NDVI (Normalized Difference Vegetation Index) in the Poyang Lake Basin, China","volume":"35","author":"Tan","year":"2015","journal-title":"Wetlands"},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1146\/annurev.arplant.59.032607.092759","article-title":"Chlorophyll fluorescence: A probe of photosynthesis in vivo","volume":"59","author":"Baker","year":"2008","journal-title":"Annu. Rev. Plant Biol."},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"3727","DOI":"10.1111\/gcb.12664","article-title":"Estimation of vegetation photosynthetic capacity from space-based measurements of chlorophyll fluorescence for terrestrial biosphere models","volume":"20","author":"Zhang","year":"2014","journal-title":"Glob. Chang. Biol."},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"044005","DOI":"10.1088\/1748-9326\/aab0b1","article-title":"Higher absorbed solar radiation partly offset the negative effects of water stress on the photosynthesis of Amazon forests during the 2015 drought","volume":"13","author":"Li","year":"2018","journal-title":"Environ. Res. Lett."},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"1919","DOI":"10.1111\/gcb.14056","article-title":"Amazon drought and forest response: Largely reduced forest photosynthesis but slightly increased canopy greenness during the extreme drought of 2015\/2016","volume":"24","author":"Yang","year":"2018","journal-title":"Glob. Chang. Biol."},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"2012","DOI":"10.1109\/JSTARS.2022.3148393","article-title":"Exploring the Potential of Spatially Downscaled Solar-Induced Chlorophyll Fluorescence to Monitor Drought Effects on Gross Primary Production in Winter Wheat","volume":"15","author":"Shen","year":"2022","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"9206","DOI":"10.1080\/01431161.2020.1798549","article-title":"Detecting regional GPP variations with statistically downscaled solar-induced chlorophyll fluo-rescence (SIF) based on GOME-2 and MODIS data","volume":"41","author":"Hu","year":"2020","journal-title":"Int. J. Remote Sens."},{"key":"ref_85","doi-asserted-by":"crossref","first-page":"1273","DOI":"10.1109\/TGRS.2016.2621820","article-title":"The FLuorescence EXplorer Mission Concept-ESA\u2019s Earth Explorer 8","volume":"55","author":"Drusch","year":"2017","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_86","doi-asserted-by":"crossref","first-page":"808","DOI":"10.1016\/j.rse.2018.02.016","article-title":"Overview of Solar-Induced chlo-rophyll Fluorescence (SIF) from the Orbiting Carbon Observatory-2: Retrieval, cross-mission comparison, and global monitoring for GPP","volume":"209","author":"Sun","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_87","doi-asserted-by":"crossref","first-page":"298","DOI":"10.1016\/j.gloplacha.2018.10.017","article-title":"Multisource data based agricultural drought monitoring and agri-cultural loss in China","volume":"172","author":"Zhang","year":"2019","journal-title":"Glob. Planet. Chang."},{"key":"ref_88","doi-asserted-by":"crossref","first-page":"111220","DOI":"10.1016\/j.rse.2019.111220","article-title":"Determining variable weights for an Optimal Scaled Drought Condition Index (OSDCI): Evaluation in Central Asia","volume":"231","author":"Guo","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_89","doi-asserted-by":"crossref","first-page":"112","DOI":"10.1016\/j.plaphy.2022.05.021","article-title":"Effect of different con-centrations of foliar iron fertilizer on chlorophyll fluorescence characteristics of iron-deficient rice seedlings under saline sodic conditions","volume":"185","author":"Gao","year":"2022","journal-title":"Plant Physiol. Biochem."},{"key":"ref_90","doi-asserted-by":"crossref","first-page":"1942","DOI":"10.1007\/s42729-022-00785-0","article-title":"Soybean physiological properties and grain quality responses to nutrients, and predicting nutrient deficiency using chlorophyll fluorescence","volume":"22","author":"Latifinia","year":"2022","journal-title":"J. Soil. Sci. Plant Nutr."},{"key":"ref_91","unstructured":"Sieczko, L., D\u0105browski, P., Kowalczyk, K., Gajc-Wolska, J., Borucki, W., Janaszek-Ma\u0144kowska, M., Kowalczyk, W., Farci, D., and Kalaji, H.M. (2023). Early detection of phosphorus deficiency stress in cucumber at the cellular level using chlorophyll fluorescence signals. J. Water Land Dev., 176\u2013186."},{"key":"ref_92","doi-asserted-by":"crossref","unstructured":"Senesi, G.S., De Pascale, O., Marangoni, B.S., Caires, A.R.L., Nicolodelli, G., Pantaleo, V., and Leonetti, P. (2022). Chlorophyll Fluorescence Imaging (CFI) and Laser-Induced Breakdown Spectroscopy (LIBS) Applied to Investigate Tomato Plants Infected by the Root Knot Nematode (RKN) Meloidogyne incognita and Tobacco Plants Infected by Cymbidium Ringspot Virus. Photonics, 9.","DOI":"10.3390\/photonics9090627"},{"key":"ref_93","doi-asserted-by":"crossref","unstructured":"Du, K., Jing, X., Zeng, Y., Ye, Q., Li, B., and Huang, J. (2023). An Improved Approach to Monitoring Wheat Stripe Rust with Sun-Induced Chlorophyll Fluorescence. Remote Sens., 15.","DOI":"10.3390\/rs15030693"},{"key":"ref_94","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s10681-018-2154-y","article-title":"Phenotyping of faba beans (Vicia faba L.) under cold and heat stresses using chlorophyll fluorescence","volume":"214","author":"Zhou","year":"2018","journal-title":"Euphytica"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/16\/3937\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T20:28:21Z","timestamp":1760128101000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/16\/3937"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,8,9]]},"references-count":94,"journal-issue":{"issue":"16","published-online":{"date-parts":[[2023,8]]}},"alternative-id":["rs15163937"],"URL":"https:\/\/doi.org\/10.3390\/rs15163937","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,8,9]]}}}