Remote sensing of seasonal variation of LAI and fAPAR in a deciduous broadleaf forest

Lee, Leticia X.; Whitby, Timothy G.; Munger, J. William; Stonebrook, Sophia J.; Friedl, Mark A.

doi:10.1016/j.agrformet.2023.109389

Remote sensing of seasonal variation of LAI and fAPAR in a deciduous broadleaf forest

Journal Article · Fri Mar 03 00:00:00 EST 2023 · Agricultural and Forest Meteorology

DOI:https://doi.org/10.1016/j.agrformet.2023.109389· OSTI ID:2422783

^[1]; Whitby, Timothy G. ^[2]; ^[2]; Stonebrook, Sophia J. ^[1]; Friedl, Mark A. ^[1]

Boston University, MA (United States)
Harvard University, Cambridge, MA (United States)

Climate change is affecting the phenology of terrestrial ecosystems. In deciduous forests, phenology in leaf area index (LAI) is the primary driver of seasonal variation in the fraction of absorbed photosynthetically active radiation (fAPAR), which drives photosynthesis. Remote sensing has been widely used to estimate LAI and fAPAR. However, while many studies have examined both empirical and model-based relationships among LAI, fAPAR, and spectral vegetation indices (SVI) from remote sensing, few studies have systematically and empirically examined how relationships among these variables change over the growing season. In this study, we examine how and why seasonal-scale covariation differs among time series of remotely sensed SVIs and both LAI and fAPAR based on current understanding and theory. To do this we use newly available remote sensing data sets in combination with time series of in-situ measurements and a canopy radiative transfer model to analyze how seasonal variation in canopy and environmental conditions affect relationships among remotely sensed SVIs, LAI, and fAPAR at a temperate deciduous forest site in central Massachusetts. Our results show that accounting for seasonal variation in canopy shadowing, which is driven by variation in solar zenith angle, improved remote sensing-based estimates of LAI, fAPAR, and daily total APAR. Specifically, we show that the phenology of SVIs is strongly influenced by seasonal variation in near infrared (NIR) reflectance arising from systematic variation in the canopy shadow fraction that is independent of changes in LAI or fAPAR. Therefore, results of this work provide a refined basis for understanding how remote sensing can be used to monitor and model the phenology of LAI, fAPAR, APAR, and gross primary productivity in temperate deciduous forests.

View Accepted Manuscript (DOE)

Research Organization:: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States). AmeriFlux

Sponsoring Organization:: National Aeronautics and Space Administration (NASA); National Science Foundation (NSF); USDOE Office of Science (SC)

Grant/Contract Number:: AC02-05CH11231

OSTI ID:: 2422783

Journal Information:: Agricultural and Forest Meteorology, Journal Name: Agricultural and Forest Meteorology Journal Issue: C Vol. 333; ISSN 0168-1923

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

References (83)

Estimation of direct, diffuse, and total FPARs from Landsat surface reflectance data and ground‐based estimates over six FLUXNET sites Li, Wenjuan; Fang, Hongliang Journal of Geophysical Research: Biogeosciences, Vol. 120, Issue 1 https://doi.org/10.1002/2014JG002754	journal	January 2015
Biogenic carbon fluxes from global agricultural production and consumption: GLOBAL AGRICULTURAL CARBON FLUXES Wolf, Julie; West, Tristram O.; Le Page, Yannick Global Biogeochemical Cycles, Vol. 29, Issue 10 https://doi.org/10.1002/2015GB005119	journal	October 2015
Spatiotemporal patterns of terrestrial gross primary production: A review: GPP Spatiotemporal Patterns Anav, Alessandro; Friedlingstein, Pierre; Beer, Christian Reviews of Geophysics, Vol. 53, Issue 3 https://doi.org/10.1002/2015RG000483	journal	August 2015
Carbon budget of the Harvard Forest Long‐Term Ecological Research site: pattern, process, and response to global change Finzi, Adrien C.; Giasson, Marc‐André; Barker Plotkin, Audrey A. Ecological Monographs, Vol. 90, Issue 4 https://doi.org/10.1002/ecm.1423	journal	October 2020
Assessing the interception of photosynthetically active radiation in winter wheat Hipps, L. E.; Asrar, G.; Kanemasu, E. T. Agricultural Meteorology, Vol. 28, Issue 3 https://doi.org/10.1016/0002-1571(83)90030-4	journal	March 1983
Red and photographic infrared linear combinations for monitoring vegetation Tucker, Compton J. Remote Sensing of Environment, Vol. 8, Issue 2 https://doi.org/10.1016/0034-4257(79)90013-0	journal	May 1979
Light scattering by leaf layers with application to canopy reflectance modeling: The SAIL model Verhoef, W. Remote Sensing of Environment, Vol. 16, Issue 2 https://doi.org/10.1016/0034-4257(84)90057-9	journal	October 1984
Potentials and limits of vegetation indices for LAI and APAR assessment Baret, F.; Guyot, G. Remote Sensing of Environment, Vol. 35, Issue 2-3 https://doi.org/10.1016/0034-4257(91)90009-U	journal	February 1991
Vegetation canopy PAR absorptance and the normalized difference vegetation index: An assessment using the SAIL model Goward, Samuel N.; Huemmrich, Karl F. Remote Sensing of Environment, Vol. 39, Issue 2 https://doi.org/10.1016/0034-4257(92)90131-3	journal	February 1992
On the relationship between FAPAR and NDVI Myneni, R. B.; Williams, D. L. Remote Sensing of Environment, Vol. 49, Issue 3 https://doi.org/10.1016/0034-4257(94)90016-7	journal	September 1994
Scaling and uncertainty in the relationship between the NDVI and land surface biophysical variables: An analysis using a scene simulation model and data from FIFE Friedl, M. A.; Davis, F. W.; Michaelsen, J. Remote Sensing of Environment, Vol. 54, Issue 3 https://doi.org/10.1016/0034-4257(95)00156-5	journal	December 1995
Retrieving leaf area index of boreal conifer forests using Landsat TM images Chen, Jing M.; Cihlar, Josef Remote Sensing of Environment, Vol. 55, Issue 2 https://doi.org/10.1016/0034-4257(95)00195-6	journal	February 1996
Monitoring vegetation phenology using MODIS Zhang, Xiaoyang; Friedl, Mark A.; Schaaf, Crystal B. Remote Sensing of Environment, Vol. 84, Issue 3 https://doi.org/10.1016/S0034-4257(02)00135-9	journal	March 2003
Retrieving leaf area index using a genetic algorithm with a canopy radiative transfer model Fang, H. Remote Sensing of Environment, Vol. 85, Issue 3 https://doi.org/10.1016/S0034-4257(03)00005-1	journal	May 2003
Biophysical and Biochemical Sources of Variability in Canopy Reflectance Asner, Gregory P. Remote Sensing of Environment, Vol. 64, Issue 3 https://doi.org/10.1016/S0034-4257(98)00014-5	journal	June 1998
Relationships between Leaf Area Index and Landsat TM Spectral Vegetation Indices across Three Temperate Zone Sites Turner, David P.; Cohen, Warren B.; Kennedy, Robert E. Remote Sensing of Environment, Vol. 70, Issue 1 https://doi.org/10.1016/S0034-4257(99)00057-7	journal	October 1999
Measurements of branch area and adjusting leaf area index indirect measurements Kucharik, Christopher J.; Norman, John M.; Gower, Stith T. Agricultural and Forest Meteorology, Vol. 91, Issue 1-2 https://doi.org/10.1016/S0168-1923(98)00064-1	journal	May 1998
Refining light-use efficiency calculations for a deciduous forest canopy using simultaneous tower-based carbon flux and radiometric measurements Jenkins, J. P.; Richardson, A. D.; Braswell, B. H. Agricultural and Forest Meteorology, Vol. 143, Issue 1-2 https://doi.org/10.1016/j.agrformet.2006.11.008	journal	March 2007
Seasonal patterns of foliar reflectance in relation to photosynthetic capacity and color index in two co-occurring tree species, Quercus rubra and Betula papyrifera Dillen, Sophie Y.; de Beeck, Maarten Op; Hufkens, Koen Agricultural and Forest Meteorology, Vol. 160 https://doi.org/10.1016/j.agrformet.2012.03.001	journal	July 2012
Climate change, phenology, and phenological control of vegetation feedbacks to the climate system Richardson, Andrew D.; Keenan, Trevor F.; Migliavacca, Mirco Agricultural and Forest Meteorology, Vol. 169 https://doi.org/10.1016/j.agrformet.2012.09.012	journal	February 2013
Impacts of light use efficiency and fPAR parameterization on gross primary production modeling Cheng, Yen-Ben; Zhang, Qingyuan; Lyapustin, Alexei I. Agricultural and Forest Meteorology, Vol. 189-190 https://doi.org/10.1016/j.agrformet.2014.01.006	journal	June 2014
Variations of leaf inclination angle distribution with height over the growing season and light exposure for eight broadleaf tree species Raabe, Kairi; Pisek, Jan; Sonnentag, Oliver Agricultural and Forest Meteorology, Vol. 214-215 https://doi.org/10.1016/j.agrformet.2015.07.008	journal	December 2015
Estimation of plant area index and phenological transition dates from digital repeat photography and radiometric approaches in a hardwood forest in the Northeastern United States Toda, Motomu; Richardson, Andrew D. Agricultural and Forest Meteorology, Vol. 249 https://doi.org/10.1016/j.agrformet.2017.09.004	journal	February 2018
Review of indirect optical measurements of leaf area index: Recent advances, challenges, and perspectives Yan, Guangjian; Hu, Ronghai; Luo, Jinghui Agricultural and Forest Meteorology, Vol. 265 https://doi.org/10.1016/j.agrformet.2018.11.033	journal	February 2019
Spatial scaling between leaf area index maps of different resolutions Jin, Z.; Tian, Q.; Chen, J. M. Journal of Environmental Management, Vol. 85, Issue 3 https://doi.org/10.1016/j.jenvman.2006.08.016	journal	November 2007
Evaluation of MODIS LAI, fAPAR and the relation between fAPAR and NDVI in a semi-arid environment using in situ measurements Fensholt, Rasmus; Sandholt, Inge; Rasmussen, Michael Schultz Remote Sensing of Environment, Vol. 91, Issue 3-4 https://doi.org/10.1016/j.rse.2004.04.009	journal	June 2004
Influence of landscape spatial heterogeneity on the non-linear estimation of leaf area index from moderate spatial resolution remote sensing data Garrigues, S.; Allard, D.; Baret, F. Remote Sensing of Environment, Vol. 105, Issue 4 https://doi.org/10.1016/j.rse.2006.07.013	journal	December 2006
LAI, fAPAR and fCover CYCLOPES global products derived from VEGETATION Baret, Frédéric; Hagolle, Olivier; Geiger, Bernhard Remote Sensing of Environment, Vol. 110, Issue 3 https://doi.org/10.1016/j.rse.2007.02.018	journal	October 2007
Development of a two-band enhanced vegetation index without a blue band Jiang, Z.; Huete, A.; Didan, K. Remote Sensing of Environment, Vol. 112, Issue 10 https://doi.org/10.1016/j.rse.2008.06.006	journal	October 2008
Comparison of different vegetation indices for the remote assessment of green leaf area index of crops Viña, Andrés; Gitelson, Anatoly A.; Nguy-Robertson, Anthony L. Remote Sensing of Environment, Vol. 115, Issue 12 https://doi.org/10.1016/j.rse.2011.08.010	journal	December 2011
Continuous observation of tree leaf area index at ecosystem scale using upward-pointing digital cameras Ryu, Youngryel; Verfaillie, Joseph; Macfarlane, Craig Remote Sensing of Environment, Vol. 126 https://doi.org/10.1016/j.rse.2012.08.027	journal	November 2012
Detecting interannual variation in deciduous broadleaf forest phenology using Landsat TM/ETM+ data Melaas, Eli K.; Friedl, Mark A.; Zhu, Zhe Remote Sensing of Environment, Vol. 132 https://doi.org/10.1016/j.rse.2013.01.011	journal	May 2013
Intercomparison of fraction of absorbed photosynthetically active radiation products derived from satellite data over Europe D'Odorico, Petra; Gonsamo, Alemu; Pinty, Bernard Remote Sensing of Environment, Vol. 142 https://doi.org/10.1016/j.rse.2013.12.005	journal	February 2014
Estimation of crop gross primary production (GPP): fAPARchl versus MOD15A2 FPAR Zhang, Qingyuan; Cheng, Yen-Ben; Lyapustin, Alexei I. Remote Sensing of Environment, Vol. 153 https://doi.org/10.1016/j.rse.2014.07.012	journal	October 2014
The need for a common basis for defining light-use efficiency: Implications for productivity estimation Gitelson, Anatoly A.; Gamon, John A. Remote Sensing of Environment, Vol. 156 https://doi.org/10.1016/j.rse.2014.09.017	journal	January 2015
Seasonal variability of multiple leaf traits captured by leaf spectroscopy at two temperate deciduous forests Yang, Xi; Tang, Jianwu; Mustard, John F. Remote Sensing of Environment, Vol. 179 https://doi.org/10.1016/j.rse.2016.03.026	journal	June 2016
Drivers of spatial variability in greendown within an oak-hickory forest landscape Reaves, V. C.; Elmore, A. J.; Nelson, D. M. Remote Sensing of Environment, Vol. 210 https://doi.org/10.1016/j.rse.2018.03.027	journal	June 2018
The Harmonized Landsat and Sentinel-2 surface reflectance data set Claverie, Martin; Ju, Junchang; Masek, Jeffrey G. Remote Sensing of Environment, Vol. 219 https://doi.org/10.1016/j.rse.2018.09.002	journal	December 2018
Remote sensing of the terrestrial carbon cycle: A review of advances over 50 years Xiao, Jingfeng; Chevallier, Frederic; Gomez, Cecile Remote Sensing of Environment, Vol. 233 https://doi.org/10.1016/j.rse.2019.111383	journal	November 2019
Continental-scale land surface phenology from harmonized Landsat 8 and Sentinel-2 imagery Bolton, Douglas K.; Gray, Josh M.; Melaas, Eli K. Remote Sensing of Environment, Vol. 240 https://doi.org/10.1016/j.rse.2020.111685	journal	April 2020
Using time series of MODIS land surface phenology to model temperature and photoperiod controls on spring greenup in North American deciduous forests Moon, Minkyu; Seyednasrollah, Bijan; Richardson, Andrew D. Remote Sensing of Environment, Vol. 260 https://doi.org/10.1016/j.rse.2021.112466	journal	July 2021
Multiscale assessment of land surface phenology from harmonized Landsat 8 and Sentinel-2, PlanetScope, and PhenoCam imagery Moon, Minkyu; Richardson, Andrew D.; Friedl, Mark A. Remote Sensing of Environment, Vol. 266 https://doi.org/10.1016/j.rse.2021.112716	journal	December 2021
Shifting plant phenology in response to global change Cleland, E.; Chuine, I.; Menzel, A. Trends in Ecology & Evolution, Vol. 22, Issue 7 https://doi.org/10.1016/j.tree.2007.04.003	journal	July 2007
Random Forests Breiman, Leo Machine Learning, Vol. 45, Issue 1, p. 5-32 https://doi.org/10.1023/A:1010933404324	journal	January 2001
Decelerating Autumn CO₂ Release With Warming Induced by Attenuated Temperature Dependence of Respiration in Northern Ecosystems Liu, Dan; Piao, Shilong; Wang, Tao Geophysical Research Letters, Vol. 45, Issue 11 https://doi.org/10.1029/2018GL077447	journal	June 2018
Satellite remote sensing of surface energy balance: Success, failures, and unresolved issues in FIFE Hall, Forrest G.; Huemmrich, Karl F.; Goetz, Scott J. Journal of Geophysical Research, Vol. 97, Issue D17 https://doi.org/10.1029/92JD02189	journal	January 1992
Leaf area index of boreal forests: Theory, techniques, and measurements Chen, Jing M.; Rich, Paul M.; Gower, Stith T. Journal of Geophysical Research: Atmospheres, Vol. 102, Issue D24 https://doi.org/10.1029/97JD01107	journal	December 1997
Estimation of vegetation canopy leaf area index and fraction of absorbed photosynthetically active radiation from atmosphere-corrected MISR data Knyazikhin, Y.; Martonchik, J. V.; Diner, D. J. Journal of Geophysical Research: Atmospheres, Vol. 103, Issue D24 https://doi.org/10.1029/98JD02461	journal	December 1998
Synergistic algorithm for estimating vegetation canopy leaf area index and fraction of absorbed photosynthetically active radiation from MODIS and MISR data Knyazikhin, Y.; Martonchik, J. V.; Myneni, R. B. Journal of Geophysical Research: Atmospheres, Vol. 103, Issue D24 https://doi.org/10.1029/98JD02462	journal	December 1998
Seasonality of temperate forest photosynthesis and daytime respiration Wehr, R.; Munger, J. W.; McManus, J. B. Nature, Vol. 534, Issue 7609 https://doi.org/10.1038/nature17966	journal	June 2016
Net carbon uptake has increased through warming-induced changes in temperate forest phenology Keenan, Trevor F.; Gray, Josh; Friedl, Mark A. Nature Climate Change, Vol. 4, Issue 7 https://doi.org/10.1038/nclimate2253	journal	June 2014
Earlier springs are causing reduced nitrogen availability in North American eastern deciduous forests Elmore, Andrew J.; Nelson, David M.; Craine, Joseph M. Nature Plants, Vol. 2, Issue 10 https://doi.org/10.1038/nplants.2016.133	journal	September 2016
Effects of temperature variability and extremes on spring phenology across the contiguous United States from 1982 to 2016 Liu, Lingling; Zhang, Xiaoyang Scientific Reports, Vol. 10, Issue 1 https://doi.org/10.1038/s41598-020-74804-4	journal	October 2020
Inversion of net ecosystem CO2 flux measurements for estimation of canopy PAR absorption Hanan, Niall P.; Burba, George; Verma, Shashi B. Global Change Biology, Vol. 8, Issue 6 https://doi.org/10.1046/j.1365-2486.2002.00488.x	journal	June 2002
Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves Gitelson, Anatoly A.; Gritz †, Yuri; Merzlyak, Mark N. Journal of Plant Physiology, Vol. 160, Issue 3 https://doi.org/10.1078/0176-1617-00887	journal	January 2003
Canopy reflectance, photosynthesis and transpiration Sellers, P. J. International Journal of Remote Sensing, Vol. 6, Issue 8 https://doi.org/10.1080/01431168508948283	journal	August 1985
Vectorial algebra algorithms for calculating terrain parameters from DEMs and solar radiation modelling in mountainous terrain Corripio, Javier G. International Journal of Geographical Information Science, Vol. 17, Issue 1 https://doi.org/10.1080/713811744	journal	January 2003
Earlier springs decrease peak summer productivity in North American boreal forests Buermann, Wolfgang; Bikash, Parida R.; Jung, Martin Environmental Research Letters, Vol. 8, Issue 2 https://doi.org/10.1088/1748-9326/8/2/024027	journal	May 2013
A tale of two springs: using recent climate anomalies to characterize the sensitivity of temperate forest phenology to climate change Friedl, Mark A.; Gray, Josh M.; Melaas, Eli K. Environmental Research Letters, Vol. 9, Issue 5 https://doi.org/10.1088/1748-9326/9/5/054006	journal	May 2014
Changes in autumn senescence in northern hemisphere deciduous trees: a meta-analysis of autumn phenology studies Gill, Allison L.; Gallinat, Amanda S.; Sanders-DeMott, Rebecca Annals of Botany, Vol. 116, Issue 6 https://doi.org/10.1093/aob/mcv055	journal	May 2015
Influence of spring phenology on seasonal and annual carbon balance in two contrasting New England forests Richardson, A. D.; Hollinger, D. Y.; Dail, D. B. Tree Physiology, Vol. 29, Issue 3 https://doi.org/10.1093/treephys/tpn040	journal	January 2009
Carbon cycle feedbacks and future climate change Friedlingstein, Pierre Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol. 373, Issue 2054 https://doi.org/10.1098/rsta.2014.0421	journal	November 2015
Influence of spring and autumn phenological transitions on forest ecosystem productivity Richardson, Andrew D.; Andy Black, T.; Ciais, Philippe Philosophical Transactions of the Royal Society B: Biological Sciences, Vol. 365, Issue 1555 https://doi.org/10.1098/rstb.2010.0102	journal	October 2010
Canopy architecture and remote sensing of the fraction of photosynthetically active radiation absorbed by boreal conifer forests Chen, J. M. IEEE Transactions on Geoscience and Remote Sensing, Vol. 34, Issue 6 https://doi.org/10.1109/36.544559	journal	January 1996
The interpretation of spectral vegetation indexes Myneni, Ranga B.; Hall, Forrest G.; Sellers, Piers J. IEEE Transactions on Geoscience and Remote Sensing, Vol. 33, Issue 2 https://doi.org/10.1109/TGRS.1995.8746029	journal	March 1995
Seasonality extraction by function fitting to time-series of satellite sensor data Jonsson, P.; Eklundh, L. IEEE Transactions on Geoscience and Remote Sensing, Vol. 40, Issue 8 https://doi.org/10.1109/TGRS.2002.802519	journal	August 2002
Sensitivity Analysis of Vegetation Reflectance to Biochemical and Biophysical Variables at Leaf, Canopy, and Regional Scales Xiao, Yanfang; Zhao, Wenji; Zhou, Demin IEEE Transactions on Geoscience and Remote Sensing, Vol. 52, Issue 7 https://doi.org/10.1109/TGRS.2013.2278838	journal	July 2014
Observing terrestrial ecosystems and the carbon cycle from space Schimel, David; Pavlick, Ryan; Fisher, Joshua B. Global Change Biology, Vol. 21, Issue 5 https://doi.org/10.1111/gcb.12822	journal	February 2015
Multiscale modeling of spring phenology across Deciduous Forests in the Eastern United States Melaas, Eli K.; Friedl, Mark A.; Richardson, Andrew D. Global Change Biology, Vol. 22, Issue 2 https://doi.org/10.1111/gcb.13122	journal	January 2016
A new seasonal-deciduous spring phenology submodel in the Community Land Model 4.5: impacts on carbon and water cycling under future climate scenarios Chen, Min; Melaas, Eli K.; Gray, Josh M. Global Change Biology, Vol. 22, Issue 11 https://doi.org/10.1111/gcb.13326	journal	May 2016
Plant phenology and global climate change: Current progresses and challenges Piao, Shilong; Liu, Qiang; Chen, Anping Global Change Biology, Vol. 25, Issue 6 https://doi.org/10.1111/gcb.14619	journal	April 2019
Variations in satellite-derived phenology in China's temperate vegetation Piao, Shilong; Fang, Jingyun; Zhou, Liming Global Change Biology, Vol. 12, Issue 4 https://doi.org/10.1111/j.1365-2486.2006.01123.x	journal	April 2006
European phenological response to climate change matches the warming pattern Menzel, Annette; Sparks, Tim H.; Estrella, Nicole Global Change Biology, Vol. 12, Issue 10 https://doi.org/10.1111/j.1365-2486.2006.01193.x	journal	October 2006
Phenology shifts at start vs. end of growing season in temperate vegetation over the Northern Hemisphere for the period 1982-2008: PHENOLOGY SHIFTS AT START VS. END OF GROWING SEASON Jeong, Su-Jong; Ho, Chang-Hoi; Gim, Hyeon-Ju Global Change Biology, Vol. 17, Issue 7 https://doi.org/10.1111/j.1365-2486.2011.02397.x	journal	February 2011
Landscape controls on the timing of spring, autumn, and growing season length in mid-Atlantic forests Elmore, Andrew J.; Guinn, Steven M.; Minsley, Burke J. Global Change Biology, Vol. 18, Issue 2 https://doi.org/10.1111/j.1365-2486.2011.02521.x	journal	September 2011
Terrestrial biosphere models need better representation of vegetation phenology: results from the North American Carbon Program Site Synthesis Richardson, Andrew D.; Anderson, Ryan S.; Arain, M. Altaf Global Change Biology, Vol. 18, Issue 2 https://doi.org/10.1111/j.1365-2486.2011.02562.x	journal	November 2011
Canopy near-infrared reflectance and terrestrial photosynthesis Badgley, Grayson; Field, Christopher B.; Berry, Joseph A. Science Advances, Vol. 3, Issue 3 https://doi.org/10.1126/sciadv.1602244	journal	March 2017
Increased growing-season productivity drives earlier autumn leaf senescence in temperate trees Zani, Deborah; Crowther, Thomas W.; Mo, Lidong Science, Vol. 370, Issue 6520 https://doi.org/10.1126/science.abd8911	journal	November 2020
Estimating Absorbed Photosynthetic Radiation and Leaf Area Index from Spectral Reflectance in Wheat1 Asrar, G.; Fuchs, M.; Kanemasu, E. T. Agronomy Journal, Vol. 76, Issue 2 https://doi.org/10.2134/agronj1984.00021962007600020029x	journal	January 1984
Daily Retrieval of NDVI and LAI at 3 m Resolution via the Fusion of CubeSat, Landsat, and MODIS Data Houborg, Rasmus; McCabe, Matthew Remote Sensing, Vol. 10, Issue 6 https://doi.org/10.3390/rs10060890	journal	June 2018
Evaluation of MODIS LAI/FPAR Product Collection 6. Part 1: Consistency and Improvements Yan, Kai; Park, Taejin; Yan, Guangjian Remote Sensing, Vol. 8, Issue 5 https://doi.org/10.3390/rs8050359	journal	April 2016
Evaluation of MODIS LAI/FPAR Product Collection 6. Part 2: Validation and Intercomparison Yan, Kai; Park, Taejin; Yan, Guangjian Remote Sensing, Vol. 8, Issue 6 https://doi.org/10.3390/rs8060460	journal	May 2016
Global Carbon Budget 2018 Le Quéré, Corinne; Andrew, Robbie M.; Friedlingstein, Pierre Earth System Science Data, Vol. 10, Issue 4 https://doi.org/10.5194/essd-10-2141-2018	journal	January 2018

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Remote sensing of seasonal variation of LAI and fAPAR in a deciduous broadleaf forest

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