Satellite-Derived Biophysical Product Intercomparison and Validation References
2021
Song, B., Liu, L., Du, S., Zhang, X., Chen, X., & Zhang, H. (2021). ValLAI_Crop, a validation dataset for coarse-
resolution satellite LAI products over Chinese cropland. Scientific Data, 8, 243. https://doi.org/10.1038/s41597-
021-01024-4
Brown, L.A., Camacho, F., García-Santos, V., Origo, N., Fuster, B., Morris, H., Pastor-Guzman, J., Sánchez-Zapero, J., Morrone, R., Ryder, J., Nightingale, J., Boccia, V., & Dash, J. (2021). Fiducial Reference Measurements for Vegetation Bio-Geophysical Variables: An End-to-End Uncertainty Evaluation Framework. Remote Sensing, 13, 3194. https://www.mdpi.com/2072-4292/13/16/3194
Kang, Y., Ozdogan, M., Gao, F., Anderson, M.C., White, W.A., Yang, Y., Yang, Y., & Erickson, T.A. (2021). A data-driven approach to estimate leaf area index for Landsat images over the contiguous US. Remote Sensing of Environment, 258, 112383. https://doi.org/10.1016/j.rse.2021.112383
Zhang Y., Fang, H., Wang, Y., and Li S., 2021. Variation of intra-daily instantaneous FAPAR estimated from the geostationary Himawari-8 AHI data. Agricultural and Forest Meteorology, 307, 108535. https://doi.org/10.1016/j.agrformet.2021.108535
2020
Brown, L.A., Meier, C., Morris, H., Pastor-Guzman, J., Bai, G., Lerebourg, C., Gobron, N., Lanconelli, C., Clerici, M., & Dash, J. (2020). Evaluation of global leaf area index and fraction of absorbed photosynthetically active radiation products over North America using Copernicus Ground Based Observations for Validation data. Remote Sensing of Environment, 247, 111935.https://doi.org/10.1016/j.rse.2020.111935
Amin, E., Verrelst, J., Rivera-Caicedo, J.P., Pipia, L., Ruiz-Verdú, A., & Moreno, J. (2020). Prototyping Sentinel-2 green LAI and brown LAI products for cropland monitoring. Remote Sensing of Environment, 112168, https://doi.org/10.1016/j.rse.2020.112168
Fuster, B.; Sānchez-Zapero, J.; Camacho, F.; García-Santos, V.; Verger, A.; Lacaze, R.; Weiss, M.; Baret, F.; Smets, B. Quality Assessment of PROBA-V LAI, fAPAR and fCOVER Collection 300 m Products of Copernicus Global Land Service. Remote Sens. 2020, 12, 1017. https://www.mdpi.com/2072-4292/12/6/1017
Zhang, Z., Zhang, Y., Zhang, Y., Gobron, N., Frankenberg, C., Wang, S., and Li, Z. (2020). The potential of satellite FPAR product for GPP estimation: An indirect evaluation using solar-induced chlorophyll fluorescence. Remote Sensing of Environment, 240, 111686. https://doi.org/10.1016/j.rse.2020.111686
2019
Fang, H., Zhang Y., Wei S., Li W., Ye Y., Sun T., and W. Liu, (2019). Validation of global moderate resolution leaf area index (LAI) products over croplands in northeastern China. Remote Sensing of Environment, 233, 111377, https://doi.org/10.1016/j.rse.2019.111377.
Fang, H., Baret, F., Plummer, S., and Schaepman-Strub, G. (2019). An overview of global leaf area index (LAI): Methods, products, validation, and applications. Reviews of Geophysics, doi: 10.1029/2018RG000608.
2018
Campos-Taberner, M., García-Haro, F., Busetto, L., Ranghetti, L., Martínez, B., Gilabert, M.A., Camps-Valls, G., Camacho, F., Boschetti, M. (2018). A Critical Comparison of Remote Sensing Leaf Area Index Estimates over Rice-
Cultivated Areas: From Sentinel-2 and Landsat-7/8 to MODIS, GEOV1 and EUMETSAT Polar System. Remote Sensing, 10, 763.
Xu, B., Li, J., Park, T., Liu, Q., Zeng, Y., Yin, G., Zhao, J., Fan, W., Yang, L., Knyazikhin, Y., & Myneni, R.B. (2018). An integrated method for validating long-term leaf area index products using global networks of site-based measurements. Remote Sensing of Environment, 209, 134-151.
2017
Jiang, C., Ryu, Y., Fang, H., Myneni, R., Claverie, M. and Zhu, Z., 2017. Inconsistencies of interannual variability and trends in long-term satellite leaf area index products. Global Change Biology, 23(10): 4133-4146.
Nestola, E., Sánchez-Zapero, J., Latorre, C., Mazzenga, F., Matteucci, G., Calfapietra, C., Camacho, F. 2017. Validation of proba-v GEOV1 and MODIS c5 &, c6 FAPAR products in a deciduous beech forest site in italy. Remote Sensing 2017, 9.
Xiao, Z., Liang, S. and Jiang, B., 2017. Evaluation of four long time-series global leaf area index products. Agricultural and Forest Meteorology, Vol 246, Pages 218-230, ISSN 0168-1923, https://doi.org/10.1016/j.agrformet.2017.06.016
2016
Claverie, M., Matthews, L.J., Vermote, F.E., Justice, O.C. 2016. A 30+ year avhrr LAI and FAPAR climate data record: Algorithm description and validation. Remote Sensing 2016, 8.
Disney, M., Muller, J.-P., Kharbouche, S., Kaminski, T., Voβbeck, M., Lewis, P., Pinty, B. 2016. A new global FAPAR and LAI dataset derived from optimal albedo estimates: Comparison with MODIS products. Remote Sensing 2016, 8.
Wang, Y., Xie, D., Liu, S., Hu, R., Li, Y., Yan, G. 2016. Scaling of FAPAR from the field to the satellite. Remote Sensing, 8(4), 310; https://doi.org/10.3390/rs8040310
Yan, K., Park, T., Yan, G., Chen, C., Yang, B.,Liu, Z., Nemani, R.R., Knyazikhin, Y., Myneni, R.B. (2016) Evaluation of MODIS LAI/FPAR Product Collection 6. Part 1: Consistency and Improvements, Remote Sensing, 2016, 8(5), 359; doi:10.3390/rs8050359
Yan, K., Park, T., Yan, G., Liu, Z., Yang, B., Chen, C., Nemani, R.R., Knyazikhin, Y., Myneni, R.B. (2016) Evaluation of MODIS LAI/FPAR Product Collection 6. Part 2: Validation and Intercomparison, Remote Sensing 2016, 8(6), 460; doi:10.3390/rs8060460.
2015
Held, A., Phinn, S., Soto-Berelov, M., & Jones, S. (Eds.) (2015). AusCover Good Practice Guidelines: A technical handbook supporting calibration and validation activities of remotely sensed data products. Version 1.2. TERN AusCover, ISBN 978-0-646-94137-0.http://data.auscover.org.au/xwiki/bin/view/Good+Practice+Handbook/WebHome
Majasalmi, T., Rautiainen, M., Stenberg, P., Manninen, T. 2015. Validation of MODIS and GEOV1 FPAR products in a boreal forest site in finland. Remote Sensing 2015, 7.
Tao, X., Liang, S., Wang, D. 2015. Assessment of five global satellite products of fraction of absorbed photosynthetically active radiation: Intercomparison and direct validation against ground-based data, Remote Sensing of Environment, Volume 163 , 14 April, Pages 270-285.
2014
Brandt, M., Verger, A., Diouf, A.A., Baret, F., Samimi, C. 2014. Local Vegetation Trends in the Sahel of Mali and Senegal Using Long Time Series FAPAR Satellite Products and Field Measurement (1982-2010). Remote Sens. 2014, 6, 2408-2434; doi:10.3390/rs6032408.
D'Odorico, P., Gonsamo, A., Pinty, B., Gobron, N., Coops, N., Mendez, E. and Schaepman, M.E. 2014. Intercomparison of fraction of absorbed photosynthetically active radiation products derived from satellite data over Europe, Remote Sensing of Environment, Volume 142, 25 February, Pages 141-154.
Ding, Y., Ge, Y., Hu, M., Wang, J., Wang, J., Zheng, X., Zhao, K. 2014. Comparison of spatial sampling strategies for ground sampling and validation of MODIS LAI products. International Journal of Remote Sensing 2014, 35,
7230-7244.
Fernandes, R., Plummer, S., Nightingale, J., Baret, F., Camacho, F., Fang, H., Garrigues, S., Gobron, N., Lang, M., Lacaze, R., LeBlanc, S., Meroni, M., Martinez, B., Nilson, T., Pinty, B., Pisek, J., Sonnentag, O., Verger, A., Welles, J., Weiss, M., & Widlowski, J.L. (2014). Global Leaf Area Index Product Validation Good Practices. Version 2.0. In G. Schaepman-Strub, M. Román, & J. Nickeson (Eds.), Best Practice for Satellite-Derived Land Product Validation (p. 76): Land Product Validation Subgroup (WGCV/CEOS), doi:10.5067/doc/ceoswgcv/lpv/lai.002
Pickett-Heaps, C.A., Canadell, J.C. Briggs, P.B., Gobron, N., Haverd, V., Paget, M.J., Pinty, B. and Raupach, M.R. 2014. Evaluation of six satellite-derived Fraction of Absorbed Photosynthetic Active Radiation (FAPAR) products across the Australian continent, Remote Sensing of Environment, Volume 140, January 2014, Pages 241-256.
Roumenina, E., Dimitrov, P., Filchev, L., Jelev, G. 2014. Validation of MERIS LAI and FAPAR products for winter
wheat-sown test fields in north-east bulgaria. International Journal of Remote Sensing 2014, 35, 3859-3874.
Weiss, M., Baret, F., Block, T.,Koetz, B., Burini, A., Scholze, B.; Lecharpentier, P., Brockmann, C., Fernandes, R., Plummer, S., Myneni, R., Gobron, N., Nightingale, J., Schaepman-Strub, G., Camacho, F. and Sanchez-Azofeifa, A. 2014. On Line Validation Exercise (OLIVE): A Web Based Service for the Validation of Medium Resolution Land Products. Application to FAPAR Products. Remote Sens., 6, 4190-4216. doi:10.3390/rs6054190
Yang, F., Ren, H., Li, X., Hu, M., Yang, Y. 2014. Assessment of MODIS, MERIS, GEOV1 FPAR products over northern China with ground measured data and by analyzing residential effect in mixed pixel. Remote Sensing 2014, 6.
2013
Camacho, F.; Cernicharo, J.; Lacaze, R.; Baret, F.; Weiss, M. (2013): GEOV1: LAI, FAPAR essential climate variables Fand COVER global time series capitalizing over existing products. Part 2: Validation and intercomparison with reference products. Remote Sensing of Environment, 137, 310-329.
Claverie, M., Vermote E. F., Weiss M., Baret F., Hagolle, O. and Demarez V., 2013. Validation of coarse spatial resolution LAI and FAPAR time series over cropland in southwest France. Remote Sensing of Environment, 139 (2013) 216—230, http://dx.doi.org/10.1016/j.rse.2013.07.027
Fang, H., Jiang, C., Li, W., Wei, S., Baret, F., Chen, J.M., Garcia-Haro, J., Liang, S., Liu, R., Myneni, R.B., Pinty, B., Xiao, Z., Zhus, Z. (2013): Characterization and intercomparison of global moderate resolution leaf area index (LAI) products: Analysis of climatologies and theoretical uncertainties. Journal of Geophysical Research Biogeosciences, 118, 529-548.
Gessner, U.; Niklaus, M.; Kuenzer, C.; Dech, S. (2013): Intercomparison of leaf area index products for a gradient of
sub-humid to arid environments in West Africa. Remote Sensing, 5, 1235-1257.
Martínez, B., Camacho, F., Verger, A., García-Haro, F.J., Gilabert, M.A. 2013. Intercomparison and quality assessment of MERIS, MODIS and SEVIRI FAPAR products over the Iberian Peninsula. International Journal of Applied Earth Observation and Geoinformation, 21, 463—476.
2012
Dahlke, Carola, Alexander Loew, Christian Reick, 2012. Robust Identification of Global Greening Phase Patterns from Remote Sensing Vegetation Products. J. Climate, 25, 8289–8307. doi: http://dx.doi.org/10.1175/JCLI-D-11-00319.1
Fang, H., Wei, S. and Liang, S., 2012. Validation of MODIS and CYCLOPES LAI products using global field measurement data. Remote Sensing of Environment, 119: 43-54.
Meroni M., Atzberger C., Vancutsem C., Gobron N., Baret F., Lacaze R., Eerens H. and Leo O., 2012. Evaluation of Agreement Between Space Remote Sensing SPOT-VEGETATION fAPAR Time Series. IEEE Transactions on Geoscience and Remote Sensing, PP(99): 1-12. DOI: 10.1109/TGRS.2012.2212447
2011
Pinty B., Jung M., Kaminski T., Lavergne T., Mund M., Plummer S., Thomas E. and Widlowski J.-L. 2011 Evaluation of the RC-TIP 0.01° products over a mid-latitude deciduous forest site. Remote Sensing of Environment, 115:
3567-3581. DOI: 10.1016/j.rse.2011.08.018
2010
McCallum, I., W. Wagner, C. Schmullius, A. Shvidenko, M. Obersteiner, S. Fritz, and S. Nilsson. 2010. Comparison of Four Global FAPAR Datasets over Northern Eurasia for the Year 2000.Remote Sensing of Environment 114: 941—949.
2009
Seixas, J., Carvalhais, N., Nunes, C., Benali, A. 2009. Comparative analysis of MODIS-FAPAR and MERIS-mgvi datasets: Potential impacts on ecosystem modeling. Remote Sensing of Environment 2009, 113, 2547-2559.
2008
Ganguly, S.; Samanta, A.; Schull, M.A.; Shabanov, N.V.; Milesi, C.; Nemani, R.R.; Knyazikhin, Y.; Myneni, R.B. (2008): Generating vegetation leaf area index Earth system data record from multiple sensors. Part 2: Implementation, analysis and validation. Remote Sensing of Environment, 112, 4318-4332.
Garrigues, S.; Lacaze, R.; Baret, F.; Morisette, J.; Weiss, M.; Nickeson, J.; Fernandes, R.; Plummer, S.; Shabanov, N.V.; Myneni, R.; Knyazikhin, Y.; Yang, W. (2008): Validation and intercomparison of global leaf area index products derived from remote sensing data, Journal of Geophysical Research Biogeosciences, 113, G02028.
Gobron N. et. al. 2008. Uncertainty estimates for the FAPAR operational products derived from MERIS — Impact of TOA radiance uncertainties and validation with field data, Remote Sensing of Environment, Vol. 112, pp 1871-1883, doi:10.1016/j.rse.2007.09.011.
2007
Hu, J.N., Su, Y., Tan, B., Huang, D., Yang, W.Z., Schull, M., Bull, M.A., Martonchik, J.V., Diner, D.J., Knyazikhin, Y., Myneni, R.B. 2007. Tan, B.Analysis of the MISR LAI/FPAR product for spatial and temporal coverage, accuracy and consistency. Remote Sensing of Environment, 107(2-Jan), 334-347. doi:10.1016/j.rse.2006.06.020
Pisek, J.; Chen, J.M. (2007): Comparison and validation of MODIS and VEGETATION global LAI products over four BigFoot sites in North America. Remote Sensing of Environment, 109, 81-94.
Weiss, M.; Baret , F.; Garrigues, S.; Lacaze, R.; Bicheron, P. (2007): LAI, fAPAR and fCover CYCLOPES global products derived from VEGETATION. Part 2: Validation and comparison with MODIS Collection 4 products. Remote Sensing of Environment, 110, 317-331.
2006
Bacour, C.; Baret, F.; Bèal, D.; Weiss, M.; Pavageau, K. (2006): Neural network estimation of LAI, fAPAR, fCover and LAIxCab, from top of canopy MERIS reflectance data: Principles and validation. Remote Sensing of Environment, 105, 313-325.
Baret, F.; Morissette, J.; Fernandes, R.; Champeaux, J.L.; Myneni, R.; Chen, J.; Plummer, S.; Weiss, M.; Bacour, C.; Garrigues, S.; Nickeson, J. (2006): Evaluation of the representativeness of networks of sites for the global validation and inter-comparison of land biophysical products. Proposition of the CEOS-BELMANIP. IEEE Transactions on Geoscienceand Remote Sensing, 44, 1794-1803.
Gobron N., et. al. 2006. Evaluation of FAPAR Products for Different Canopy Radiation Transfer Regimes: Methodology and Results using JRC Products Derived from SeaWiFS and Ground-based Estimations, Journal of Geophysical Research, 111, D13110, DOI 10.1029/2005JD006511
Morisette, J.; Baret, F.; Privette, J.L.; Myneni, R.B.; Nickeson, J.; Garrigues, S.; Shabanov, N.; Weiss, M.; Fernandes, R.; Leblanc, S.; et al. (2006): Validation of global moderate resolution LAI Products: A framework proposed within the CEOS Land Product Validation subgroup. IEEE Transactions on Geoscience and Remote Sensing, 44, 1804-1817.
Steinberg, D.C., Goetz, S.J., Hyer, E.J. 2006. Validation of MODIS FPAR products in boreal forests of Alaska. IEEE Trans. Geosc. Remote Sens. 2006, 44, 1818-1828.
Yang, W., Huang, D., Tan, B., Stroeve, J.C., Shabanov, N.V., Knyazikhin, Y., Nemani R.R., and Myneni, R.B., 2006. Analysis of Leaf Area Index and Fraction of PAR Absorbed by Vegetation Products from the Terra MODIS Sensor: 2000-2005, Vol. 44, IEEE Transactions on Geoscience and Remote Sensing, No. 7, July, Part 1, 1829- 1842
Yang, W.; Shabanov, N.V.; Huang, D.; Wang, W.; Dickinson, R.E.; Nemani, R.R.; Knyazikhin, Y.; Myneni, R.B. (2006); Analysis of leaf area index products from combination of MODIS Terra and Aqua data. Remote Sensing of Environment, 104, 297-312.
2005 and earlier
Fensholt, R.; Sandholt, I.; Rasmussen, M.S. (2004): Evaluation of MODIS LAI, fAPAR and the relation between fAPAR and NDVI in a semi-arid environment using in situ measurements. Remote Sensing of Environment, 91, 490-507.
Weiss, M., Baret, F., Smith, G.J., Jonckheere, I., & Coppin, P. (2004). Review of methods for in situ leaf area index (LAI) determination: Part II. Estimation of LAI, errors and sampling. Agricultural and Forest Meteorology, 121, 37-53
Chen, J.M.; Pavlic, G.; Brown, L.; Cihlar, J.; Leblanc, S.G.; White, H.P.; Hall, R.J.; Peddle, D.R.; King, D.J.; Trofymow, J.A.;Swift, E.; Van der Sanden, J.; Pellikka, P.K.E. (2002): Derivation and validation of Canada-wide coarse-resolution leaf area index maps using high-resolution satellite imagery and ground measurements. Remote Sensing of Environment, 83, 165-184.
Roujean, J.-L.; Lacaze, R. (2002): Global mapping of vegetation parameters from POLDER multiangular measurements for studies of surface-atmosphere interactions: A pragmatic method and validtion. Journal of Geophysical Research Atmospheres, 107, D12, 4150.
Tian, Y.; Woodcock, C.E.; Wang, Y.; Privette, J.L.; Shabanov, N.V.; Zhou, L.; Zhang, Y.; Buermann, W.; Dong, J.; Veikkanen, B.; Haeme, T.; Andersson, K.; Ozdogan, M.; Knyazikhin, Y.; Myneni, R.B. (2002): Multiscale analysis and validation of the MODIS LAI product: I. Uncertainty assessment. Remote Sensing of Environment, 83, 414-430.
Wang, Y., Tian, Y., Zhang, Y., El-Saleous, N., Knyazikhin, Y., Vermote, E., Myneni, R.B. 2001. Investigation of product accuracy as a function of input and model uncertainties. Case study with seawifs and MODIS LAI/FPAR algorithm. Remote Sens. Environ. 2001, 78, 299-313.
