Satellite-Derived fAPAR Intercomparison and Validation References
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.
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.
Yan, K., Park, T., Yan, G., Chen, C., Yang, B., Liu, Z., Nemani, R.R., Knyazikhin, Y., Myneni, B.R. 2016. Evaluation of MODIS LAI/FPAR product collection 6. Part 1: Consistency and improvements. 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
2016, 8(4), 310; https://doi.org/10.3390/rs8040310
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.
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.
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.
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.
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
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.
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.
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.
Zhu, Z., Bi, J., Pan, Y., Ganguly, S., Anav, A., Xu, L., Samanta, A., Piao, S., Nemani, R.R., Myneni, B.R. 2013. Global data sets of vegetation leaf area index (LAI)3g and fraction of photosynthetically active radiation (FPAR)3g derived from global inventory modeling and mapping studies (GIMMS) normalized difference vegetation index (ndvi3g) for the period 1981 to 2011. Remote Sensing 2013, 5.
Camacho, F., Carnicharo, J., Lacaze, R., Baret, F., Weiss, M. 2013. GEOV1: LAI, FAPAR Essential Climate Variables and FCover global time series capitalizing over existing products. Part 2: Validation and inter-comparison with reference products. Remote Sensing of Environment 2013, 137, 2013, Pages 310-329, ISSN 0034-4257,
http://dx.doi.org/10.1016/j.rse.2013.02.030.
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
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.
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
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
Pastorello, G., Sánchez-Azofeifa, G.A., Nascimento M.A. 2011 Enviro-Net: From Networks of Ground-Based Sensor Systems to a Web Platform for Sensor Data Management. Sensors. 11(6): 6454-6479.
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
Sánchez-Azofeifa, G.A., Rankine, C., Espirito Santo, M.M., Fatland, R. Garcia, M. 2011. Wireless Sensing Networks for Environmental Monitoring: Two case studies from tropical forests. Proceedings — 2011 7th IEEE International Conference e-Science. Art. No. 6123261, 70-76.
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.
Widlowski J.-L. 2010 On the Bias of Instantaneous FAPAR Estimates in Open-Canopy Forests. Agricultural and Forest Meteorology, 150(12): 1501-1522. DOI: 10.1016/j.agrformet.2010.07.011
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.
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.
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
Weiss, M., Baret, F., Garrigues, S., Lacaze, R. 2007. LAI and FAPAR cyclopes global products derived from vegetation. Part 2: Validation and comparison with MODIS collection 4 products. Remote Sensing of Environment 2007, 110, 317-331.
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
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
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.
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 2004, 91, 490-507.
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.
