遥感技术与应用 2022, Vol. 37 Issue (1): 125-136 DOI: 10.11873/j.issn.1004-0323.2022.1.0125 |
青促会十周年专栏 |
|
|
|
|
多源日光诱导叶绿素荧光产品在中国地区的一致性研究 |
杨凤珠1(),王震山1,张乾2,孙善磊3,柳艺博1() |
1.南京信息工程大学 应用气象学院/江苏省农业气象重点实验室/生态研究院,江苏 南京 210044 2.南京大学 国际地球系统科学研究所,江苏 南京 210023 3.南京信息工程大学 大气科学学院,江苏 南京 210044 |
|
Consistency Analysis of Five Global Sun-Induced Chlorophyll Fluorescence (SIF) Products over China |
Fengzhu Yang1(),Zhenshan Wang1,Qian Zhang2,Shanlei Sun3,Yibo Liu1() |
1.School of Applied Meteorology,Nanjing University of Information Science and Technology/Jiangsu Laboratory of Agricultural Meteorology,Nanjing 210044,China 2.International Institute for Earth System Science,Nanjing University,Nanjing 210023,China 3.School of Atmospheric Science,Nanjing University of Information Science and Technology,Nanjing 210044,China |
引用本文:
杨凤珠,王震山,张乾,孙善磊,柳艺博. 多源日光诱导叶绿素荧光产品在中国地区的一致性研究[J]. 遥感技术与应用, 2022, 37(1): 125-136.
Fengzhu Yang,Zhenshan Wang,Qian Zhang,Shanlei Sun,Yibo Liu. Consistency Analysis of Five Global Sun-Induced Chlorophyll Fluorescence (SIF) Products over China. Remote Sensing Technology and Application, 2022, 37(1): 125-136.
链接本文:
http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2022.1.0125
或
http://www.rsta.ac.cn/CN/Y2022/V37/I1/125
|
1 |
Mohammed G H, Colombo R, Middleton E M,et al. Remote sensing of Solar-Induced Chlorophyll Fluorescence (SIF) in vegetation: 50 years of progress[J].Remote Sensing of Environment,2019,231:111177. DOI:10.1016/j.rse.2019.04.030 .
doi: 10.1016/j.rse.2019.04.030
|
2 |
Baker N R. Chlorophyll fluorescence: A probe of photosynthesis in vivo[J].Annual Review Plant Biology,2008, 59: 89-113. DOI:10.1146/ annurev. implant.59.032607.092759 .
doi: 10.1146/ annurev. implant.59.032607.092759
|
3 |
Xiao J, Chevallier F, Gomez C,et al. Remote sensing of the terrestrial carbon cycle: A review of advances over 50 years[J]. Remote Sensing of Environment,2019,233:111383. DOI:10.1016/j.rse.2019.111383 .
doi: 10.1016/j.rse.2019.111383
|
4 |
Zhang Zhaoying, Wang Songhan, Qiu Bo,et al.Retrieval of Sun-Induced chlorophyll Fluorescence and advancements in carbon cycle application[J]. Journal of Remote Sensing,2019, 23(1):37-52.
|
4 |
章钊颖,王松寒,邱博,等.日光诱导叶绿素荧光遥感反演及碳循环应用进展[J].遥感学报,2019,23(1):37-52.
|
5 |
Xiao J, Fisher J B, Hashimoto H,et al. Emerging satellite observations for diurnal cycling of ecosystem processes[J].Nature Plants,2021, 7(7): 877-887. DOI:10.1038/s41477-021-00952-8 .
doi: 10.1038/s41477-021-00952-8
|
6 |
Frankenberg C, Fisher J B, Worden J,et al. New global observations of the terrestrial carbon cycle from GOSAT: Patterns of plant fluorescence with gross primary productivity[J]. Geophysical Research Letters,2011, 38(17): 351-365. DOI: 10.1029/2011GL048738 .
doi: 10.1029/2011GL048738
|
7 |
Joiner J, Yoshida Y, Vasilkov A P,et al. First observations of global and seasonal terrestrial chlorophyll fluorescence from space[J].Biogeosciences,2011,8(3):637-651. DOI:10.5194/ bg-8-637-2011 .
doi: 10.5194/ bg-8-637-2011
|
8 |
Guanter L, Zhang Y, Jung M,et al. Global and time-resolved mo-nitoring of crop photosynthesis with chlorophyll fluorescence[J]. Proceedings of the National Academy of Sciences,2014,111(14):E1327-E1333. DOI:10.1073/pnas. 1320008111 .
doi: 10.1073/pnas. 1320008111
|
9 |
Wang Ya'nan, Wei Jin, Tang Xuguang, et al.Progress of using the Chlorophyll Fluorescence to estimate terrestrial gross primary production[J].Remote Sensing Technology and Application,2020,35(5):975-989.
|
9 |
王雅楠,韦瑾,汤旭光,等. 应用叶绿素荧光估算植被总初级生产力研究进展[J].遥感技术与应用,2020,35(5):975-989.
|
10 |
Liu J, Bowman K W, Schimel D S,et al. Contrasting carbon cycle responses of the tropical continents to the 2015-2016 El Nino[J].Science,2017, 358(6360):5690. DOI:10.1126/science.aam5690 .
doi: 10.1126/science.aam5690
|
11 |
Parazoo N C, Bowman K, Frankenberg C,et al. Interpreting seasonal changes in the carbon balance of southern Amazonia using measurements of XCO2 and chlorophyll fluorescence from GOSAT[J].Geophysical Research Letters,2013, 40(11): 2829-2833. DOI:10.1002/grl.50452 .
doi: 10.1002/grl.50452
|
12 |
Wang S, Huang C, Zhang L,et al. Monitoring and assessing the 2012 drought in the great plains: analyzing satellite-retrieved Solar-Induced Chlorophyll Fluorescence, drought indices,and gross primary production[J].Remote Sensing,2016, 8(2):61. DOI:10.3390/rs8020061 .
doi: 10.3390/rs8020061
|
13 |
Jonard F, De Cannière S, Brüggemann N,et al. Value of Sun-Induced Chlorophyll Fluorescence for quantifying hydrological states and fluxes: current status and challenges[J].Agricultural and Forest Meteorology,2020, 291: 108088. DOI:10.1016/j.agrformet.2020.108088 .
doi: 10.1016/j.agrformet.2020.108088
|
14 |
Zhang Y, Commane R, Zhou S,et al. Light limitation regulates the response of autumn terrestrial carbon uptake to warming[J].Nature Climate Change,2020, 10(8): 739-743. DOI:10.1038/s41558-020-0806-0 .
doi: 10.1038/s41558-020-0806-0
|
15 |
Zhang Y, Joiner J, Alemohammad S H,et al. A global spatially Contiguous Solar-Induced Fluorescence (CSIF) dataset using neural networks[J].Biogeosciences,2018, 15(19): 5779-5800. DOI:10.5194/bg-15-5779-2018 .
doi: 10.5194/bg-15-5779-2018
|
16 |
Li X& Xiao J. A global, 0.05-degree product of Solar-Induced Chlorophyll Fluorescence derived from OCO-2, MODIS, and reanalysis data[J].Remote Sensing,2019, 11(5):517. DOI:10.3390/rs11050517 .
doi: 10.3390/rs11050517
|
17 |
Yu L, Wen J, Chang C Y,et al. High-resolution global contiguous SIF of OCO-2[J].Geophysical Research Letters,2019, 46(3): 1449-1458. DOI:10.1029/2018gl081109 .
doi: 10.1029/2018gl081109
|
18 |
Duveiller G& Cescatti A. Spatially downscaling Sun-Induced Chlorophyll Fluorescence leads to an improved temporal correlation with gross primary productivity[J].Remote Sensing of Environment,2016,182:72-89. DOI:10.1016/j.rse.2016. 04.027 .
doi: 10.1016/j.rse.2016. 04.027
|
19 |
Duveiller G, Filipponi F, Walther S,et al. A spatially downscaled Sun-Induced Fluorescence global product for enhanced monitoring of vegetation productivity[J].Earth System Science Data,2020, 12(2): 1101-1116. DOI:10.5194/essd-12-1101-2020 .
doi: 10.5194/essd-12-1101-2020
|
20 |
Wen J, Köhler P, Duveiller G,et al. A framework for harmonizing multiple satellite instruments to generate a long-term global high spatial-resolution Solar-Induced Chlorophyll Fluorescence (SIF)[J].Remote Sensing of Environment,2020, 239:111644. DOI:10.1016/j.rse.2020.111644 .
doi: 10.1016/j.rse.2020.111644
|
21 |
Li X, Xiao J. Mapping photosynthesis solely from Solar-Induced Chlorophyll Fluorescence: A global, fine-resolution dataset of gross primary production derived from OCO-2[J].Remote Sensing,2019, 11(21). DOI:10.3390/rs11212563 .
doi: 10.3390/rs11212563
|
22 |
Li X, Xiao J. Global climatic controls on interannual variability of ecosystem productivity: similarities and differences inferred from Solar-Induced Chlorophyll Fluorescence and enhanced vegetation index[J].Agricultural Forest Meteorology,2020,288-289:108018. DOI:10.1016/j.agrformet.2020. 108018 .
doi: 10.1016/j.agrformet.2020. 108018
|
23 |
Gang C, Pan S, Tian H,et al. Satellite observations of forest resilience to hurricanes along the northern Gulf of Mexico[J].Forest Ecology and Management,2020, 472:118243. DOI:10.1016/j.foreco.2020.118243 .
doi: 10.1016/j.foreco.2020.118243
|
24 |
Li C, Sun G, Cohen E,et al. Modeling the impacts of urbanization on watershed-scale gross primary productivity and tradeoffs with water yield across the conterminous United States[J]. Journal of Hydrology,2020,583:124581. DOI:10.1016/j.jhydrol.2020.124581 .
doi: 10.1016/j.jhydrol.2020.124581
|
25 |
Wei J, Tang X, Gu Q,et al. Using Solar-Induced Chlorophyll Fluorescence observed by OCO-2 to predict autumn crop production in China[J].Remote Sensing,2019, 11(14): 1715. DOI: 10.3390/rs11141715 .
doi: 10.3390/rs11141715
|
26 |
Cao J, Zhang Z, Tao F,et al. Integrating multi-source data for rice yield prediction across China using machine learning and deep learning approaches[J].Agricultural and Forest Meteorology,2021,297:108275. DOI:10.1016/j.agrformet. 2020.108275 .
doi: 10.1016/j.agrformet. 2020.108275
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|