Comparison of Phenology Estimated from Reflectance-Based Indices and Solar-Induced Chlorophyll Fluorescence (SIF) Observations in a Temperate Forest Using GPP-Based Phenology as the Standard

Lu, Xiaoliang; Liu, Zhunqiao; Zhou, Yuyu; Liu, Yaling; An, Shuqing; Tang, Jianwu

doi:10.3390/rs10060932

Title: Comparison of Phenology Estimated from Reflectance-Based Indices and Solar-Induced Chlorophyll Fluorescence (SIF) Observations in a Temperate Forest Using GPP-Based Phenology as the Standard

Journal Article · Wed Jun 13 00:00:00 EDT 2018 · Remote Sensing

DOI:https://doi.org/10.3390/rs10060932· OSTI ID:1499905

Lu, Xiaoliang ^[1]; Liu, Zhunqiao ^[2]; Zhou, Yuyu ^[3]; Liu, Yaling ^[4]; An, Shuqing ^[5];

^[6]

Oregon State Univ., Corvallis, OR (United States). Dept. of Forest Ecosystems and Society; Marine Biological Lab., Woods Hole, MA (United States). Ecosystems Center
Marine Biological Lab., Woods Hole, MA (United States). Ecosystems Center; Nanjing Univ. (China). School of Life Sciences
Iowa State Univ., Ames, IA (United States). Dept. of Geological and Atmospheric Sciences
Columbia Univ., New York, NY (United States). Dept. of Earth and Environmental Engineering
Nanjing Univ. (China). School of Life Sciences
Marine Biological Lab., Woods Hole, MA (United States). Ecosystems Center

We assess the performance of optical images, reflectance-based vegetation indices and solar induced chlorophyll fluorescence (SIF) datasets with various spatial and temporal resolutions in monitoring the GPP-based phenology in a temperate deciduous forest. If negative impacts due to coarse spatial and temporal resolutions are effectively reduced, we find that all these data can serve as good indicators of phenological metrics in the spring that are derived from GPP time series. However, the autumn phenological metrics derived from all reflectance-based datasets are later than the tower-based GPP estimates. This is because the reflectance-based observations estimate phenology by tracking physiological properties including leaf area index (LAI) and leaf chlorophyll content (Chl), which does not reflect instantaneous changes in phenophase transitions, and thus the estimated fall phenological events may be later than GPP-based phenology. In contrast, we find that SIF has a good potential to track seasonal transition of photosynthetic activities in both spring and fall seasons. The advantage of SIF in estimating the GPP-based phenology lies in its inherent link to photosynthesis activities such that SIF can respond quickly to all factors regulating phenological events. Despite uncertainties in phenological metrics estimated from current spaceborne SIF observations due to their coarse spatial and temporal resolutions, dates of the middle spring and autumn – the two most important metrics, can still be reasonably estimated from satellite SIF. Our study reveals that SIF provides a better way to monitor GPP-based phenological metrics.

View Accepted Manuscript (DOE)

Cite

Export

Save

Research Organization:: Marine Biological Lab., Woods Hole, MA (United States); Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)

Sponsoring Organization:: USDOE

Grant/Contract Number:: SC0006951; AC05-76RL01830

OSTI ID:: 1499905

Alternate ID(s):: OSTI ID: 1512441

Report Number(s):: PNNL-SA-130442

Journal Information:: Remote Sensing, Vol. 10, Issue 6; ISSN 2072-4292

Publisher:: MDPICopyright Statement

Country of Publication:: United States

Language:: English

Citation Metrics:

Cited by: 26 works

Citation information provided by
Web of Science

References (76)

Tundra photosynthesis captured by satellite‐observed solar‐induced chlorophyll fluorescence Luus, K. A.; Commane, R.; Parazoo, N. C. Geophysical Research Letters, Vol. 44, Issue 3 https://doi.org/10.1002/2016GL070842	journal	February 2017
Greenness indices from digital cameras predict the timing and seasonal dynamics of canopy-scale photosynthesis Toomey, Michael; Friedl, Mark A.; Frolking, Steve Ecological Applications, Vol. 25, Issue 1 https://doi.org/10.1890/14-0005.1	journal	January 2015
Application of satellite solar-induced chlorophyll fluorescence to understanding large-scale variations in vegetation phenology and function over northern high latitude forests Jeong, Su-Jong; Schimel, David; Frankenberg, Christian Remote Sensing of Environment, Vol. 190 https://doi.org/10.1016/j.rse.2016.11.021	journal	March 2017
Global and time-resolved monitoring of crop photosynthesis with chlorophyll fluorescence Guanter, L.; Zhang, Y.; Jung, M. Proceedings of the National Academy of Sciences, Vol. 111, Issue 14 https://doi.org/10.1073/pnas.1320008111	journal	March 2014
Improving the monitoring of crop productivity using spaceborne solar-induced fluorescence Guan, Kaiyu; Berry, Joseph A.; Zhang, Yongguang Global Change Biology, Vol. 22, Issue 2 https://doi.org/10.1111/gcb.13136	journal	November 2015
Assessing the eddy covariance technique for evaluating carbon dioxide exchange rates of ecosystems: past, present and future Baldocchi, Dennis D. Global Change Biology, Vol. 9, Issue 4 https://doi.org/10.1046/j.1365-2486.2003.00629.x	journal	April 2003
Evaluation of the potential of MODIS satellite data to predict vegetation phenology in different biomes: An investigation using ground-based NDVI measurements Hmimina, G.; Dufrêne, E.; Pontailler, J. -Y. Remote Sensing of Environment, Vol. 132 https://doi.org/10.1016/j.rse.2013.01.010	journal	May 2013
Color Indices for Weed Identification Under Various Soil, Residue, and Lighting Conditions Transactions of the ASAE, Vol. 38, Issue 1 https://doi.org/10.13031/2013.27838	journal	January 1995
The effect of the temporal resolution of NDVI data on season onset dates and trends across Canadian broadleaf forests Kross, Angela; Fernandes, Richard; Seaquist, Jonathan Remote Sensing of Environment, Vol. 115, Issue 6 https://doi.org/10.1016/j.rse.2011.02.015	journal	June 2011
Relationship between leaf physiologic traits and canopy color indices during the leaf expansion period in an oak forest Liu, Zhunqiao; Hu, Haibo; Yu, Hua Ecosphere, Vol. 6, Issue 12 https://doi.org/10.1890/ES14-00452.1	journal	December 2015
A linear method for the retrieval of sun-induced chlorophyll fluorescence from GOME-2 and SCIAMACHY data Köhler, P.; Guanter, L.; Joiner, J. Atmospheric Measurement Techniques, Vol. 8, Issue 6 https://doi.org/10.5194/amt-8-2589-2015	journal	January 2015
Plant Litter and Soil Reflectance Nagler, P. L.; Daughtry, C. S. T.; Goward, S. N. Remote Sensing of Environment, Vol. 71, Issue 2 https://doi.org/10.1016/S0034-4257(99)00082-6	journal	February 2000
Remote sensing of sun-induced fluorescence to improve modeling of diurnal courses of gross primary production (GPP): RS OF SUN-INDUCED FLUORESCENCE TO IMPROVE MODELING OF GPP Damm, Alexander; Elbers, Jan; Erler, AndrÃ Global Change Biology, Vol. 16, Issue 1 https://doi.org/10.1111/j.1365-2486.2009.01908.x	journal	January 2010
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
Leaf onset in the northern hemisphere triggered by daytime temperature Piao, Shilong; Tan, Jianguang; Chen, Anping Nature Communications, Vol. 6, Issue 1 https://doi.org/10.1038/ncomms7911	journal	April 2015
Potential of solar-induced chlorophyll fluorescence to estimate transpiration in a temperate forest Lu, Xiaoliang; Liu, Zhunqiao; An, Shuqing Agricultural and Forest Meteorology, Vol. 252 https://doi.org/10.1016/j.agrformet.2018.01.017	journal	April 2018
Near-surface remote sensing of spatial and temporal variation in canopy phenology Richardson, Andrew D.; Braswell, Bobby H.; Hollinger, David Y. Ecological Applications, Vol. 19, Issue 6 https://doi.org/10.1890/08-2022.1	journal	September 2009
Remote sensing of spring phenology in northeastern forests: A comparison of methods, field metrics and sources of uncertainty White, Katharine; Pontius, Jennifer; Schaberg, Paul Remote Sensing of Environment, Vol. 148 https://doi.org/10.1016/j.rse.2014.03.017	journal	May 2014
A Method to Reconstruct the Solar-Induced Canopy Fluorescence Spectrum from Hyperspectral Measurements Zhao, Feng; Guo, Yiqing; Verhoef, Wout Remote Sensing, Vol. 6, Issue 10 https://doi.org/10.3390/rs61010171	journal	October 2014
Spatial and seasonal heterogeneity in understory light conditions caused by differential leaf flushing of deciduous overstory trees: Seasonality of light conditions Kato, Shogo; Komiyama, Akira Ecological Research, Vol. 17, Issue 6 https://doi.org/10.1046/j.1440-1703.2002.00529.x	journal	October 2002
Digital repeat photography for phenological research in forest ecosystems Sonnentag, Oliver; Hufkens, Koen; Teshera-Sterne, Cory Agricultural and Forest Meteorology, Vol. 152 https://doi.org/10.1016/j.agrformet.2011.09.009	journal	January 2012
Satellite chlorophyll fluorescence measurements reveal large-scale decoupling of photosynthesis and greenness dynamics in boreal evergreen forests Walther, Sophia; Voigt, Maximilian; Thum, Tea Global Change Biology, Vol. 22, Issue 9 https://doi.org/10.1111/gcb.13200	journal	June 2016
First operational BRDF, albedo nadir reflectance products from MODIS Schaaf, Crystal B.; Gao, Feng; Strahler, Alan H. Remote Sensing of Environment, Vol. 83, Issue 1-2 https://doi.org/10.1016/S0034-4257(02)00091-3	journal	November 2002
A Cross Comparison of Spatiotemporally Enhanced Springtime Phenological Measurements From Satellites and Ground in a Northern U.S. Mixed Forest IEEE Transactions on Geoscience and Remote Sensing, Vol. 52, Issue 12 https://doi.org/10.1109/TGRS.2014.2313558	journal	December 2014
Use of digital webcam images to track spring green-up in a deciduous broadleaf forest Richardson, Andrew D.; Jenkins, Julian P.; Braswell, Bobby H. Oecologia, Vol. 152, Issue 2 https://doi.org/10.1007/s00442-006-0657-z	journal	March 2007
New global observations of the terrestrial carbon cycle from GOSAT: Patterns of plant fluorescence with gross primary productivity: CHLOROPHYLL FLUORESCENCE FROM SPACE Frankenberg, Christian; Fisher, Joshua B.; Worden, John Geophysical Research Letters, Vol. 38, Issue 17 https://doi.org/10.1029/2011GL048738	journal	September 2011
Far-red sun-induced chlorophyll fluorescence shows ecosystem-specific relationships to gross primary production: An assessment based on observational and modeling approaches Damm, A.; Guanter, L.; Paul-Limoges, E. Remote Sensing of Environment, Vol. 166 https://doi.org/10.1016/j.rse.2015.06.004	journal	September 2015
Solar-induced chlorophyll fluorescence that correlates with canopy photosynthesis on diurnal and seasonal scales in a temperate deciduous forest: Fluorescence and photosynthesis Yang, Xi; Tang, Jianwu; Mustard, John F. Geophysical Research Letters, Vol. 42, Issue 8 https://doi.org/10.1002/2015GL063201	journal	April 2015
Julian dates and introduced temporal error in remote sensing vegetation phenology studies Thayn, J. B.; Price, K. P. International Journal of Remote Sensing, Vol. 29, Issue 20 https://doi.org/10.1080/01431160802235829	journal	September 2008
Prospects for chlorophyll fluorescence remote sensing from the Orbiting Carbon Observatory-2 Frankenberg, Christian; O'Dell, Chris; Berry, Joseph Remote Sensing of Environment, Vol. 147 https://doi.org/10.1016/j.rse.2014.02.007	journal	May 2014
Beyond leaf color: Comparing camera-based phenological metrics with leaf biochemical, biophysical, and spectral properties throughout the growing season of a temperate deciduous forest: Seasonality of leaf properties Yang, Xi; Tang, Jianwu; Mustard, John F. Journal of Geophysical Research: Biogeosciences, Vol. 119, Issue 3 https://doi.org/10.1002/2013JG002460	journal	March 2014
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
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
The Fraunhofer Line Discriminator MKII-An Airborne Instrument for Precise and Standardized Ecological Luminescence Measurement Plascyk, James A.; Gabriel, Fred C. IEEE Transactions on Instrumentation and Measurement, Vol. 24, Issue 4 https://doi.org/10.1109/TIM.1975.4314448	journal	January 1975
Using digital camera images to detect canopy condition of deciduous broad-leaved trees Nagai, Shin; Maeda, Takahisa; Gamo, Minoru Plant Ecology & Diversity, Vol. 4, Issue 1 https://doi.org/10.1080/17550874.2011.579188	journal	March 2011
Light gains and physiological capacity of understorey woody plants during phenological avoidance of canopy shade Augspurger, C. K.; Cheeseman, J. M.; Salk, C. F. Functional Ecology, Vol. 19, Issue 4 https://doi.org/10.1111/j.1365-2435.2005.01027.x	journal	August 2005
Emerging opportunities and challenges in phenology: a review Tang, Jianwu; Körner, Christian; Muraoka, Hiroyuki Ecosphere, Vol. 7, Issue 8 https://doi.org/10.1002/ecs2.1436	journal	August 2016
A globally coherent fingerprint of climate change impacts across natural systems Parmesan, Camille; Yohe, Gary Nature, Vol. 421, Issue 6918 https://doi.org/10.1038/nature01286	journal	January 2003
Estimation of vegetation photosynthetic capacity from space-based measurements of chlorophyll fluorescence for terrestrial biosphere models Zhang, Yongguang; Guanter, Luis; Berry, Joseph A. Global Change Biology, Vol. 20, Issue 12 https://doi.org/10.1111/gcb.12664	journal	August 2014
Performance of Spectral Fitting Methods for vegetation fluorescence quantification Meroni, M.; Busetto, L.; Colombo, R. Remote Sensing of Environment, Vol. 114, Issue 2 https://doi.org/10.1016/j.rse.2009.09.010	journal	February 2010
A continental phenology model for monitoring vegetation responses to interannual climatic variability White, Michael A.; Thornton, Peter E.; Running, Steven W. Global Biogeochemical Cycles, Vol. 11, Issue 2 https://doi.org/10.1029/97GB00330	journal	June 1997
Daily MODIS 500 m reflectance anisotropy direct broadcast (DB) products for monitoring vegetation phenology dynamics Shuai, Yanmin; Schaaf, Crystal; Zhang, Xiaoyang International Journal of Remote Sensing, Vol. 34, Issue 16 https://doi.org/10.1080/01431161.2013.803169	journal	May 2013
Seasonal variations of leaf and canopy properties tracked by ground-based NDVI imagery in a temperate forest Yang, Hualei; Yang, Xi; Heskel, Mary Scientific Reports, Vol. 7, Issue 1 https://doi.org/10.1038/s41598-017-01260-y	journal	April 2017
Chlorophyll fluorescence tracks seasonal variations of photosynthesis from leaf to canopy in a temperate forest Yang, Hualei; Yang, Xi; Zhang, Yongguang Global Change Biology, Vol. 23, Issue 7 https://doi.org/10.1111/gcb.13590	journal	January 2017
Regional-scale phenology modeling based on meteorological records and remote sensing observations: REGIONAL PHENOLOGY MODELING Yang, Xi; Mustard, John F.; Tang, Jianwu Journal of Geophysical Research: Biogeosciences, Vol. 117, Issue G3 https://doi.org/10.1029/2012JG001977	journal	September 2012
Exploration of scaling effects on coarse resolution land surface phenology Zhang, Xiaoyang; Wang, Jianmin; Gao, Feng Remote Sensing of Environment, Vol. 190 https://doi.org/10.1016/j.rse.2017.01.001	journal	March 2017
Canopy-Atmosphere Exchange of Carbon, Water and Energy at Harvard Forest EMS Tower since 1991 Munger, William; Wofsy, Steven Environmental Data Initiative https://doi.org/10.6073/pasta/1580a910a8a1a154cb59c941b252613a	dataset	January 2016
Climate controls on vegetation phenological patterns in northern mid- and high latitudes inferred from MODIS data Zhang, Xiaoyang; Friedl, Mark A.; Schaaf, Crystal B. Global Change Biology, Vol. 10, Issue 7 https://doi.org/10.1111/j.1529-8817.2003.00784.x	journal	July 2004
Photoperiodic regulation of the seasonal pattern of photosynthetic capacity and the implications for carbon cycling Bauerle, W. L.; Oren, R.; Way, D. A. Proceedings of the National Academy of Sciences, Vol. 109, Issue 22 https://doi.org/10.1073/pnas.1119131109	journal	May 2012
Application of vertical skyward wide-angle photography and airborne video data for phenological studies of beech forests in the German Alps Pellikka, P. International Journal of Remote Sensing, Vol. 22, Issue 14 https://doi.org/10.1080/01431160152518642	journal	January 2001
Towards a standardized processing of Net Ecosystem Exchange measured with eddy covariance technique: algorithms and uncertainty estimation Papale, D.; Reichstein, M.; Aubinet, M. Biogeosciences, Vol. 3, Issue 4 https://doi.org/10.5194/bg-3-571-2006	journal	January 2006
MODIS-derived EVI, NDVI and WDRVI time series to estimate phenological metrics in French deciduous forests Testa, S.; Soudani, K.; Boschetti, L. International Journal of Applied Earth Observation and Geoinformation, Vol. 64 https://doi.org/10.1016/j.jag.2017.08.006	journal	February 2018
The comparison of several colour indices for the photographic recording of canopy phenology of *Fagus crenata* Blume in eastern Japan Mizunuma, Toshie; Koyanagi, Tomokazu; Mencuccini, Maurizio Plant Ecology & Diversity, Vol. 4, Issue 1 https://doi.org/10.1080/17550874.2011.563759	journal	March 2011
On the separation of net ecosystem exchange into assimilation and ecosystem respiration: review and improved algorithm Reichstein, Markus; Falge, Eva; Baldocchi, Dennis Global Change Biology, Vol. 11, Issue 9 https://doi.org/10.1111/j.1365-2486.2005.001002.x	journal	September 2005
Land surface phenology derived from normalized difference vegetation index (NDVI) at global FLUXNET sites Wu, Chaoyang; Peng, Dailiang; Soudani, Kamel Agricultural and Forest Meteorology, Vol. 233 https://doi.org/10.1016/j.agrformet.2016.11.193	journal	February 2017
Utility of information in photographs taken upwards from the floor of closed-canopy deciduous broadleaved and closed-canopy evergreen coniferous forests for continuous observation of canopy phenology Nagai, Shin; Saitoh, Taku M.; Noh, Nam Jin Ecological Informatics, Vol. 18 https://doi.org/10.1016/j.ecoinf.2013.05.005	journal	November 2013
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
Monitoring spring canopy phenology of a deciduous broadleaf forest using MODIS Ahl, Douglas E.; Gower, Stith T.; Burrows, Sean N. Remote Sensing of Environment, Vol. 104, Issue 1 https://doi.org/10.1016/j.rse.2006.05.003	journal	September 2006
Monitoring the response of vegetation phenology to precipitation in Africa by coupling MODIS and TRMM instruments Zhang, Xiaoyang Journal of Geophysical Research, Vol. 110, Issue D12 https://doi.org/10.1029/2004JD005263	journal	January 2005
Global vegetation phenology from Moderate Resolution Imaging Spectroradiometer (MODIS): Evaluation of global patterns and comparison with in situ measurements: GLOBAL PHENOLOGY FROM MODIS Zhang, Xiaoyang; Friedl, Mark A.; Schaaf, Crystal B. Journal of Geophysical Research: Biogeosciences, Vol. 111, Issue G4 https://doi.org/10.1029/2006JG000217	journal	December 2006
Global monitoring of terrestrial chlorophyll fluorescence from moderate-spectral-resolution near-infrared satellite measurements: methodology, simulations, and application to GOME-2 Joiner, J.; Guanter, L.; Lindstrot, R. Atmospheric Measurement Techniques, Vol. 6, Issue 10 https://doi.org/10.5194/amt-6-2803-2013	journal	January 2013
Tracking vegetation phenology across diverse North American biomes using PhenoCam imagery Richardson, Andrew D.; Hufkens, Koen; Milliman, Tom Scientific Data, Vol. 5, Issue 1 https://doi.org/10.1038/sdata.2018.28	journal	March 2018
A Unified Model for Budburst of Trees Chuine, Isabelle Journal of Theoretical Biology, Vol. 207, Issue 3 https://doi.org/10.1006/jtbi.2000.2178	journal	December 2000
The FLuorescence EXplorer Mission Concept—ESA’s Earth Explorer 8 Drusch, Matthias; Moreno, Jose; Del Bello, Umberto IEEE Transactions on Geoscience and Remote Sensing, Vol. 55, Issue 3 https://doi.org/10.1109/TGRS.2016.2621820	journal	March 2017
Color enhancement of highly correlated images. II. Channel ratio and “chromaticity” transformation techniques Gillespie, Alan R.; Kahle, Anne B.; Walker, Richard E. Remote Sensing of Environment, Vol. 22, Issue 3 https://doi.org/10.1016/0034-4257(87)90088-5	journal	August 1987
Spatial analysis of growing season length control over net ecosystem exchange Churkina, Galina; Schimel, David; Braswell, Bobby H. Global Change Biology, Vol. 11, Issue 10 https://doi.org/10.1111/j.1365-2486.2005.001012.x	journal	October 2005
Global monitoring of terrestrial chlorophyll fluorescence from moderate spectral resolution near-infrared satellite measurements: methodology, simulations, and application to GOME-2 Joiner, J.; Guanter, L.; Lindstrot, R. Atmospheric Measurement Techniques Discussions, Vol. 6, Issue 2 https://doi.org/10.5194/amtd-6-3883-2013	journal	January 2013
A linear method for the retrieval of sun-induced chlorophyll fluorescence from GOME-2 and SCIAMACHY data Köhler, P.; Guanter, L.; Joiner, J. Atmospheric Measurement Techniques Discussions, Vol. 7, Issue 12 https://doi.org/10.5194/amtd-7-12173-2014	journal	January 2014
Canopy-Atmosphere Exchange of Carbon, Water and Energy at Harvard Forest EMS Tower since 1991 Munger, William; Wofsy, Steven Environmental Data Initiative https://doi.org/10.6073/pasta/97472b52ff59b0501e961989875cd0dd	dataset	January 2014
Far-red sun-induced chlorophyll fluorescence shows ecosystem-specific relationships to gross primary production: an assessment based on observational and modeling approaches Damm, Alexander; Guanter, Luis; Paul-Limoges, Eugénie Elsevier https://doi.org/10.5167/uzh-113208	text	January 2015
Canopy-Atmosphere Exchange of Carbon, Water and Energy at Harvard Forest EMS Tower since 1991 Munger, William; Wofsy, Steven Environmental Data Initiative https://doi.org/10.6073/pasta/dd9351a3ab5316c844848c3505a8149d	dataset	January 2018
Canopy-Atmosphere Exchange of Carbon, Water and Energy at Harvard Forest EMS Tower since 1991 Munger, William; Wofsy, Steven Environmental Data Initiative https://doi.org/10.6073/pasta/5822e89131bdc8bb0e077bc0095fe34d	dataset	January 2015
Remote sensing of sun-induced fluorescence to improve modeling of diurnal courses of gross primary production (GPP) Damm, A.; Erler, A.; Gioli, B. Wiley-Blackwell https://doi.org/10.5167/uzh-21071	text	January 2010
Canopy-Atmosphere Exchange of Carbon, Water and Energy at Harvard Forest EMS Tower since 1991 Munger, William; Wofsy, Steven Environmental Data Initiative https://doi.org/10.6073/pasta/2b29119bc13363b330d5030724b7212a	dataset	January 2015
A Field Platform for Continuous Measurement of Canopy Fluorescence Daumard, Fabrice; Champagne, Sébastien; Fournier, Antoine IEEE Transactions on Geoscience and Remote Sensing, Vol. 48, Issue 9 https://doi.org/10.1109/tgrs.2010.2046420	journal	September 2010
Canopy-Atmosphere Exchange of Carbon, Water and Energy at Harvard Forest EMS Tower since 1991 Munger, William; Wofsy, Steven Environmental Data Initiative https://doi.org/10.6073/pasta/e89d6b8d2b175400e3072902e52280a1	dataset	January 2015

Cited By (2)

“Green pointillism”: detecting the within-population variability of budburst in temperate deciduous trees with phenological cameras Delpierre, Nicolas; Soudani, Kamel; Berveiller, Daniel International Journal of Biometeorology, Vol. 64, Issue 4 https://doi.org/10.1007/s00484-019-01855-2	journal	January 2020
Phenology Dynamics of Dryland Ecosystems Along the North Australian Tropical Transect Revealed by Satellite Solar‐Induced Chlorophyll Fluorescence Wang, Cong; Beringer, Jason; Hutley, Lindsay B. Geophysical Research Letters, Vol. 46, Issue 10 https://doi.org/10.1029/2019gl082716	journal	May 2019

Similar Records

Photosynthesis phenology, as defined by solar-induced chlorophyll fluorescence, is overestimated by vegetation indices in the extratropical Northern Hemisphere

Journal Article · Thu Jun 09 00:00:00 EDT 2022 · Agricultural and Forest Meteorology · OSTI ID:1499905

Chen, Anping; Meng, Fandong; Mao, Jiafu; +2 more

Seasonal changes in GPP/SIF ratios and their climatic determinants across the Northern Hemisphere

Journal Article · Wed Jul 14 00:00:00 EDT 2021 · Global Change Biology · OSTI ID:1499905

Chen, Anping; Mao, Jiafu; Ricciuto, Daniel; +5 more

Gross primary production (GPP) and red solar induced fluorescence (SIF) respond differently to light and seasonal environmental conditions in a subalpine conifer forest

Journal Article · Sat Mar 12 00:00:00 EST 2022 · Agricultural and Forest Meteorology · OSTI ID:1499905

Yang, Julia C.; Magney, Troy S.; Albert, Loren P.; +8 more

Related Subjects

59 BASIC BIOLOGICAL SCIENCES
solar-induced chlorophyll fluorescence
reflectance
phenology
fall phenological events

Title: Comparison of Phenology Estimated from Reflectance-Based Indices and Solar-Induced Chlorophyll Fluorescence (SIF) Observations in a Temperate Forest Using GPP-Based Phenology as the Standard

Citation Formats

References (76)

Cited By (2)

Similar Records

Related Subjects