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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

Abstract

We assessed the performance of reflectance-based vegetation indices and solar-induced chlorophyll fluorescence (SIF) datasets with various spatial and temporal resolutions in monitoring the Gross Primary Production (GPP)-based phenology in a temperate deciduous forest. The reflectance-based indices include the green chromatic coordinate (GCC), field measured and satellite remotely sensed Normalized Difference Vegetation Index (NDVI); and the SIF datasets include ground-based measurement and satellite-based products. We found that, if negative impacts due to coarse spatial and temporal resolutions are effectively reduced, all these data can serve as good indicators of phenological metrics for spring. However, the autumn phenological metrics derived from all reflectance-based datasets are later than the those derived from ground-based GPP estimates (flux sites). 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 found 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 thatmore » 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 in 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.« less

Authors:
 [1];  [2];  [3];  [4];  [5]; ORCiD logo [6]
  1. Oregon State Univ., Corvallis, OR (United States). Dept. of Forest Ecosystems and Society; Marine Biological Lab., Woods Hole, MA (United States). Ecosystems Center
  2. Marine Biological Lab., Woods Hole, MA (United States). Ecosystems Center; Nanjing Univ. (China). School of Life Sciences
  3. Iowa State Univ., Ames, IA (United States). Dept. of Geological and Atmospheric Sciences
  4. Columbia Univ., New York, NY (United States). Dept. of Earth and Environmental Engineering
  5. Nanjing Univ. (China). School of Life Sciences
  6. Marine Biological Lab., Woods Hole, MA (United States). Ecosystems Center
Publication Date:
Research Org.:
Marine Biological Lab., Woods Hole, MA (United States); Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1499905
Alternate Identifier(s):
OSTI ID: 1512441
Report Number(s):
PNNL-SA-130442
Journal ID: ISSN 2072-4292
Grant/Contract Number:  
SC0006951; AC05-76RL01830
Resource Type:
Accepted Manuscript
Journal Name:
Remote Sensing
Additional Journal Information:
Journal Volume: 10; Journal Issue: 6; Journal ID: ISSN 2072-4292
Publisher:
MDPI
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES; solar-induced chlorophyll fluorescence; reflectance; phenology; fall phenological events

Citation Formats

Lu, Xiaoliang, Liu, Zhunqiao, Zhou, Yuyu, Liu, Yaling, An, Shuqing, and Tang, Jianwu. 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. United States: N. p., 2018. Web. doi:10.3390/rs10060932.
Lu, Xiaoliang, Liu, Zhunqiao, Zhou, Yuyu, Liu, Yaling, An, Shuqing, & Tang, Jianwu. 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. United States. doi:10.3390/rs10060932.
Lu, Xiaoliang, Liu, Zhunqiao, Zhou, Yuyu, Liu, Yaling, An, Shuqing, and Tang, Jianwu. Wed . "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". United States. doi:10.3390/rs10060932. https://www.osti.gov/servlets/purl/1499905.
@article{osti_1499905,
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},
author = {Lu, Xiaoliang and Liu, Zhunqiao and Zhou, Yuyu and Liu, Yaling and An, Shuqing and Tang, Jianwu},
abstractNote = {We assessed the performance of reflectance-based vegetation indices and solar-induced chlorophyll fluorescence (SIF) datasets with various spatial and temporal resolutions in monitoring the Gross Primary Production (GPP)-based phenology in a temperate deciduous forest. The reflectance-based indices include the green chromatic coordinate (GCC), field measured and satellite remotely sensed Normalized Difference Vegetation Index (NDVI); and the SIF datasets include ground-based measurement and satellite-based products. We found that, if negative impacts due to coarse spatial and temporal resolutions are effectively reduced, all these data can serve as good indicators of phenological metrics for spring. However, the autumn phenological metrics derived from all reflectance-based datasets are later than the those derived from ground-based GPP estimates (flux sites). 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 found 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 in 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.},
doi = {10.3390/rs10060932},
journal = {Remote Sensing},
number = 6,
volume = 10,
place = {United States},
year = {2018},
month = {6}
}

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Works referenced in this record:

Tundra photosynthesis captured by satellite‐observed solar‐induced chlorophyll fluorescence
journal, February 2017

  • Luus, K. A.; Commane, R.; Parazoo, N. C.
  • Geophysical Research Letters, Vol. 44, Issue 3
  • DOI: 10.1002/2016GL070842

Greenness indices from digital cameras predict the timing and seasonal dynamics of canopy-scale photosynthesis
journal, January 2015

  • Toomey, Michael; Friedl, Mark A.; Frolking, Steve
  • Ecological Applications, Vol. 25, Issue 1
  • DOI: 10.1890/14-0005.1

Global and time-resolved monitoring of crop photosynthesis with chlorophyll fluorescence
journal, March 2014

  • Guanter, L.; Zhang, Y.; Jung, M.
  • Proceedings of the National Academy of Sciences, Vol. 111, Issue 14
  • DOI: 10.1073/pnas.1320008111

A Field Platform for Continuous Measurement of Canopy Fluorescence
journal, September 2010

  • Daumard, Fabrice; Champagne, Sébastien; Fournier, Antoine
  • IEEE Transactions on Geoscience and Remote Sensing, Vol. 48, Issue 9
  • DOI: 10.1109/TGRS.2010.2046420

Improving the monitoring of crop productivity using spaceborne solar-induced fluorescence
journal, November 2015

  • Guan, Kaiyu; Berry, Joseph A.; Zhang, Yongguang
  • Global Change Biology, Vol. 22, Issue 2
  • DOI: 10.1111/gcb.13136

Color Indices for Weed Identification Under Various Soil, Residue, and Lighting Conditions
journal, January 1995


The effect of the temporal resolution of NDVI data on season onset dates and trends across Canadian broadleaf forests
journal, June 2011

  • Kross, Angela; Fernandes, Richard; Seaquist, Jonathan
  • Remote Sensing of Environment, Vol. 115, Issue 6
  • DOI: 10.1016/j.rse.2011.02.015

Relationship between leaf physiologic traits and canopy color indices during the leaf expansion period in an oak forest
journal, December 2015


A linear method for the retrieval of sun-induced chlorophyll fluorescence from GOME-2 and SCIAMACHY data
journal, January 2015

  • Köhler, P.; Guanter, L.; Joiner, J.
  • Atmospheric Measurement Techniques, Vol. 8, Issue 6
  • DOI: 10.5194/amt-8-2589-2015

Plant Litter and Soil Reflectance
journal, February 2000


Influence of spring and autumn phenological transitions on forest ecosystem productivity
journal, October 2010

  • Richardson, Andrew D.; Andy Black, T.; Ciais, Philippe
  • Philosophical Transactions of the Royal Society B: Biological Sciences, Vol. 365, Issue 1555
  • DOI: 10.1098/rstb.2010.0102

Leaf onset in the northern hemisphere triggered by daytime temperature
journal, April 2015

  • Piao, Shilong; Tan, Jianguang; Chen, Anping
  • Nature Communications, Vol. 6, Issue 1
  • DOI: 10.1038/ncomms7911

Potential of solar-induced chlorophyll fluorescence to estimate transpiration in a temperate forest
journal, April 2018


Near-surface remote sensing of spatial and temporal variation in canopy phenology
journal, September 2009

  • Richardson, Andrew D.; Braswell, Bobby H.; Hollinger, David Y.
  • Ecological Applications, Vol. 19, Issue 6
  • DOI: 10.1890/08-2022.1

Remote sensing of spring phenology in northeastern forests: A comparison of methods, field metrics and sources of uncertainty
journal, May 2014


A Method to Reconstruct the Solar-Induced Canopy Fluorescence Spectrum from Hyperspectral Measurements
journal, October 2014

  • Zhao, Feng; Guo, Yiqing; Verhoef, Wout
  • Remote Sensing, Vol. 6, Issue 10
  • DOI: 10.3390/rs61010171

Digital repeat photography for phenological research in forest ecosystems
journal, January 2012


Satellite chlorophyll fluorescence measurements reveal large-scale decoupling of photosynthesis and greenness dynamics in boreal evergreen forests
journal, June 2016

  • Walther, Sophia; Voigt, Maximilian; Thum, Tea
  • Global Change Biology, Vol. 22, Issue 9
  • DOI: 10.1111/gcb.13200

First operational BRDF, albedo nadir reflectance products from MODIS
journal, November 2002


A Cross Comparison of Spatiotemporally Enhanced Springtime Phenological Measurements From Satellites and Ground in a Northern U.S. Mixed Forest
journal, December 2014

  • Liang Liang, ; Schwartz, Mark D.
  • IEEE Transactions on Geoscience and Remote Sensing, Vol. 52, Issue 12
  • DOI: 10.1109/TGRS.2014.2313558

Use of digital webcam images to track spring green-up in a deciduous broadleaf forest
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
journal, September 2011

  • Frankenberg, Christian; Fisher, Joshua B.; Worden, John
  • Geophysical Research Letters, Vol. 38, Issue 17
  • DOI: 10.1029/2011GL048738

Julian dates and introduced temporal error in remote sensing vegetation phenology studies
journal, September 2008


Prospects for chlorophyll fluorescence remote sensing from the Orbiting Carbon Observatory-2
journal, May 2014

  • Frankenberg, Christian; O'Dell, Chris; Berry, Joseph
  • Remote Sensing of Environment, Vol. 147
  • DOI: 10.1016/j.rse.2014.02.007

Red and photographic infrared linear combinations for monitoring vegetation
journal, May 1979


Landscape controls on the timing of spring, autumn, and growing season length in mid-Atlantic forests
journal, September 2011


The Fraunhofer Line Discriminator MKII-An Airborne Instrument for Precise and Standardized Ecological Luminescence Measurement
journal, January 1975

  • Plascyk, James A.; Gabriel, Fred C.
  • IEEE Transactions on Instrumentation and Measurement, Vol. 24, Issue 4
  • DOI: 10.1109/TIM.1975.4314448

Using digital camera images to detect canopy condition of deciduous broad-leaved trees
journal, March 2011


Light gains and physiological capacity of understorey woody plants during phenological avoidance of canopy shade
journal, August 2005


Emerging opportunities and challenges in phenology: a review
journal, August 2016

  • Tang, Jianwu; Körner, Christian; Muraoka, Hiroyuki
  • Ecosphere, Vol. 7, Issue 8
  • DOI: 10.1002/ecs2.1436

A globally coherent fingerprint of climate change impacts across natural systems
journal, January 2003


Estimation of vegetation photosynthetic capacity from space-based measurements of chlorophyll fluorescence for terrestrial biosphere models
journal, August 2014

  • Zhang, Yongguang; Guanter, Luis; Berry, Joseph A.
  • Global Change Biology, Vol. 20, Issue 12
  • DOI: 10.1111/gcb.12664

Performance of Spectral Fitting Methods for vegetation fluorescence quantification
journal, February 2010


A continental phenology model for monitoring vegetation responses to interannual climatic variability
journal, June 1997

  • White, Michael A.; Thornton, Peter E.; Running, Steven W.
  • Global Biogeochemical Cycles, Vol. 11, Issue 2
  • DOI: 10.1029/97GB00330

Daily MODIS 500 m reflectance anisotropy direct broadcast (DB) products for monitoring vegetation phenology dynamics
journal, May 2013

  • Shuai, Yanmin; Schaaf, Crystal; Zhang, Xiaoyang
  • International Journal of Remote Sensing, Vol. 34, Issue 16
  • DOI: 10.1080/01431161.2013.803169

Seasonal variations of leaf and canopy properties tracked by ground-based NDVI imagery in a temperate forest
journal, April 2017


Chlorophyll fluorescence tracks seasonal variations of photosynthesis from leaf to canopy in a temperate forest
journal, January 2017

  • Yang, Hualei; Yang, Xi; Zhang, Yongguang
  • Global Change Biology, Vol. 23, Issue 7
  • DOI: 10.1111/gcb.13590

Regional-scale phenology modeling based on meteorological records and remote sensing observations: REGIONAL PHENOLOGY MODELING
journal, September 2012

  • Yang, Xi; Mustard, John F.; Tang, Jianwu
  • Journal of Geophysical Research: Biogeosciences, Vol. 117, Issue G3
  • DOI: 10.1029/2012JG001977

Exploration of scaling effects on coarse resolution land surface phenology
journal, March 2017


Climate controls on vegetation phenological patterns in northern mid- and high latitudes inferred from MODIS data
journal, July 2004


Photoperiodic regulation of the seasonal pattern of photosynthetic capacity and the implications for carbon cycling
journal, May 2012

  • Bauerle, W. L.; Oren, R.; Way, D. A.
  • Proceedings of the National Academy of Sciences, Vol. 109, Issue 22
  • DOI: 10.1073/pnas.1119131109

MODIS-derived EVI, NDVI and WDRVI time series to estimate phenological metrics in French deciduous forests
journal, February 2018

  • Testa, S.; Soudani, K.; Boschetti, L.
  • International Journal of Applied Earth Observation and Geoinformation, Vol. 64
  • DOI: 10.1016/j.jag.2017.08.006

The comparison of several colour indices for the photographic recording of canopy phenology of Fagus crenata Blume in eastern Japan
journal, March 2011


On the separation of net ecosystem exchange into assimilation and ecosystem respiration: review and improved algorithm
journal, September 2005


Land surface phenology derived from normalized difference vegetation index (NDVI) at global FLUXNET sites
journal, February 2017


Monitoring vegetation phenology using MODIS
journal, March 2003


Monitoring spring canopy phenology of a deciduous broadleaf forest using MODIS
journal, September 2006

  • Ahl, Douglas E.; Gower, Stith T.; Burrows, Sean N.
  • Remote Sensing of Environment, Vol. 104, Issue 1
  • DOI: 10.1016/j.rse.2006.05.003

Monitoring the response of vegetation phenology to precipitation in Africa by coupling MODIS and TRMM instruments
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
journal, December 2006

  • Zhang, Xiaoyang; Friedl, Mark A.; Schaaf, Crystal B.
  • Journal of Geophysical Research: Biogeosciences, Vol. 111, Issue G4
  • DOI: 10.1029/2006JG000217

Tracking vegetation phenology across diverse North American biomes using PhenoCam imagery
journal, March 2018

  • Richardson, Andrew D.; Hufkens, Koen; Milliman, Tom
  • Scientific Data, Vol. 5, Issue 1
  • DOI: 10.1038/sdata.2018.28

A Unified Model for Budburst of Trees
journal, December 2000


The FLuorescence EXplorer Mission Concept—ESA’s Earth Explorer 8
journal, March 2017

  • Drusch, Matthias; Moreno, Jose; Del Bello, Umberto
  • IEEE Transactions on Geoscience and Remote Sensing, Vol. 55, Issue 3
  • DOI: 10.1109/TGRS.2016.2621820

Color enhancement of highly correlated images. II. Channel ratio and “chromaticity” transformation techniques
journal, August 1987


Spatial analysis of growing season length control over net ecosystem exchange
journal, October 2005


    Works referencing / citing this record:

    Emerging opportunities and challenges in phenology: a review
    journal, August 2016

    • Tang, Jianwu; Körner, Christian; Muraoka, Hiroyuki
    • Ecosphere, Vol. 7, Issue 8
    • DOI: 10.1002/ecs2.1436

    A Unified Model for Budburst of Trees
    journal, December 2000


    Use of digital webcam images to track spring green-up in a deciduous broadleaf forest
    journal, March 2007


    Red and photographic infrared linear combinations for monitoring vegetation
    journal, May 1979


    Color enhancement of highly correlated images. II. Channel ratio and “chromaticity” transformation techniques
    journal, August 1987


    Digital repeat photography for phenological research in forest ecosystems
    journal, January 2012


    Land surface phenology derived from normalized difference vegetation index (NDVI) at global FLUXNET sites
    journal, February 2017


    Potential of solar-induced chlorophyll fluorescence to estimate transpiration in a temperate forest
    journal, April 2018


    MODIS-derived EVI, NDVI and WDRVI time series to estimate phenological metrics in French deciduous forests
    journal, February 2018

    • Testa, S.; Soudani, K.; Boschetti, L.
    • International Journal of Applied Earth Observation and Geoinformation, Vol. 64
    • DOI: 10.1016/j.jag.2017.08.006

    Monitoring spring canopy phenology of a deciduous broadleaf forest using MODIS
    journal, September 2006

    • Ahl, Douglas E.; Gower, Stith T.; Burrows, Sean N.
    • Remote Sensing of Environment, Vol. 104, Issue 1
    • DOI: 10.1016/j.rse.2006.05.003

    Performance of Spectral Fitting Methods for vegetation fluorescence quantification
    journal, February 2010


    The effect of the temporal resolution of NDVI data on season onset dates and trends across Canadian broadleaf forests
    journal, June 2011

    • Kross, Angela; Fernandes, Richard; Seaquist, Jonathan
    • Remote Sensing of Environment, Vol. 115, Issue 6
    • DOI: 10.1016/j.rse.2011.02.015

    Prospects for chlorophyll fluorescence remote sensing from the Orbiting Carbon Observatory-2
    journal, May 2014

    • Frankenberg, Christian; O'Dell, Chris; Berry, Joseph
    • Remote Sensing of Environment, Vol. 147
    • DOI: 10.1016/j.rse.2014.02.007

    Remote sensing of spring phenology in northeastern forests: A comparison of methods, field metrics and sources of uncertainty
    journal, May 2014


    Exploration of scaling effects on coarse resolution land surface phenology
    journal, March 2017


    A globally coherent fingerprint of climate change impacts across natural systems
    journal, January 2003


    Leaf onset in the northern hemisphere triggered by daytime temperature
    journal, April 2015

    • Piao, Shilong; Tan, Jianguang; Chen, Anping
    • Nature Communications, Vol. 6, Issue 1
    • DOI: 10.1038/ncomms7911

    Seasonal variations of leaf and canopy properties tracked by ground-based NDVI imagery in a temperate forest
    journal, April 2017


    Tracking vegetation phenology across diverse North American biomes using PhenoCam imagery
    journal, March 2018

    • Richardson, Andrew D.; Hufkens, Koen; Milliman, Tom
    • Scientific Data, Vol. 5, Issue 1
    • DOI: 10.1038/sdata.2018.28

    Photoperiodic regulation of the seasonal pattern of photosynthetic capacity and the implications for carbon cycling
    journal, May 2012

    • Bauerle, W. L.; Oren, R.; Way, D. A.
    • Proceedings of the National Academy of Sciences, Vol. 109, Issue 22
    • DOI: 10.1073/pnas.1119131109

    Global and time-resolved monitoring of crop photosynthesis with chlorophyll fluorescence
    journal, March 2014

    • Guanter, L.; Zhang, Y.; Jung, M.
    • Proceedings of the National Academy of Sciences, Vol. 111, Issue 14
    • DOI: 10.1073/pnas.1320008111

    Julian dates and introduced temporal error in remote sensing vegetation phenology studies
    journal, September 2008


    Daily MODIS 500 m reflectance anisotropy direct broadcast (DB) products for monitoring vegetation phenology dynamics
    journal, May 2013

    • Shuai, Yanmin; Schaaf, Crystal; Zhang, Xiaoyang
    • International Journal of Remote Sensing, Vol. 34, Issue 16
    • DOI: 10.1080/01431161.2013.803169

    The comparison of several colour indices for the photographic recording of canopy phenology of Fagus crenata Blume in eastern Japan
    journal, March 2011


    Using digital camera images to detect canopy condition of deciduous broad-leaved trees
    journal, March 2011


    Influence of spring and autumn phenological transitions on forest ecosystem productivity
    journal, October 2010

    • Richardson, Andrew D.; Andy Black, T.; Ciais, Philippe
    • Philosophical Transactions of the Royal Society B: Biological Sciences, Vol. 365, Issue 1555
    • DOI: 10.1098/rstb.2010.0102

    Estimation of vegetation photosynthetic capacity from space-based measurements of chlorophyll fluorescence for terrestrial biosphere models
    journal, August 2014

    • Zhang, Yongguang; Guanter, Luis; Berry, Joseph A.
    • Global Change Biology, Vol. 20, Issue 12
    • DOI: 10.1111/gcb.12664

    Improving the monitoring of crop productivity using spaceborne solar-induced fluorescence
    journal, November 2015

    • Guan, Kaiyu; Berry, Joseph A.; Zhang, Yongguang
    • Global Change Biology, Vol. 22, Issue 2
    • DOI: 10.1111/gcb.13136

    Satellite chlorophyll fluorescence measurements reveal large-scale decoupling of photosynthesis and greenness dynamics in boreal evergreen forests
    journal, June 2016

    • Walther, Sophia; Voigt, Maximilian; Thum, Tea
    • Global Change Biology, Vol. 22, Issue 9
    • DOI: 10.1111/gcb.13200

    Chlorophyll fluorescence tracks seasonal variations of photosynthesis from leaf to canopy in a temperate forest
    journal, January 2017

    • Yang, Hualei; Yang, Xi; Zhang, Yongguang
    • Global Change Biology, Vol. 23, Issue 7
    • DOI: 10.1111/gcb.13590

    Light gains and physiological capacity of understorey woody plants during phenological avoidance of canopy shade
    journal, August 2005


    On the separation of net ecosystem exchange into assimilation and ecosystem respiration: review and improved algorithm
    journal, September 2005


    Spatial analysis of growing season length control over net ecosystem exchange
    journal, October 2005


    Landscape controls on the timing of spring, autumn, and growing season length in mid-Atlantic forests
    journal, September 2011


    Climate controls on vegetation phenological patterns in northern mid- and high latitudes inferred from MODIS data
    journal, July 2004


    Color Indices for Weed Identification Under Various Soil, Residue, and Lighting Conditions
    journal, January 1995


    Near-surface remote sensing of spatial and temporal variation in canopy phenology
    journal, September 2009

    • Richardson, Andrew D.; Braswell, Bobby H.; Hollinger, David Y.
    • Ecological Applications, Vol. 19, Issue 6
    • DOI: 10.1890/08-2022.1

    Greenness indices from digital cameras predict the timing and seasonal dynamics of canopy-scale photosynthesis
    journal, January 2015

    • Toomey, Michael; Friedl, Mark A.; Frolking, Steve
    • Ecological Applications, Vol. 25, Issue 1
    • DOI: 10.1890/14-0005.1

    A Method to Reconstruct the Solar-Induced Canopy Fluorescence Spectrum from Hyperspectral Measurements
    journal, October 2014

    • Zhao, Feng; Guo, Yiqing; Verhoef, Wout
    • Remote Sensing, Vol. 6, Issue 10
    • DOI: 10.3390/rs61010171

    A linear method for the retrieval of sun-induced chlorophyll fluorescence from GOME-2 and SCIAMACHY data
    journal, January 2015

    • Köhler, P.; Guanter, L.; Joiner, J.
    • Atmospheric Measurement Techniques, Vol. 8, Issue 6
    • DOI: 10.5194/amt-8-2589-2015