Details Details PDF BIBTEX RIS Title Improving the Consistency and Continuity of MODIS 8 Day Leaf Area Index Products Journal title International Journal of Electronics and Telecommunications Yearbook 2012 Volume vol. 58 Issue No 2 Authors Sivasathivel Kandasamy ; Neveux, Philippe ; Verger, Aleixandre ; Buis, Samuel ; Weiss, Marie ; Baret, Frédéric Divisions of PAS Nauki Techniczne Publisher Polish Academy of Sciences Committee of Electronics and Telecommunications Date 2012 Identifier DOI: 10.2478/v10177-012-0020-8 ; eISSN 2300-1933 (since 2013) ; ISSN 2081-8491 (until 2012) Source International Journal of Electronics and Telecommunications; 2012; vol. 58; No 2 References Chen J. (1992), Defining leaf area index for non-flat leaves, Plant, Cell & Environment, 15, 4, 421, doi.org/10.1111/j.1365-3040.1992.tb00992.x ; (2010, Aug.) Implementation plan for the global observing system for climate in support of the unfccc. World Meteorological Organization & Intergovernmental Oceanographic Commission. [Online]. Available: <a target="_blank" href='http://www.wmo.int/pages/prog/gcos/documents/GCOSIP-10_DRAFTv1.0_131109.pdf'>http://www.wmo.int/pages/prog/gcos/documents/GCOSIP-10_DRAFTv1.0_131109.pdf</a> ; Kobayashi H. (2005), Atmospheric conditions for monitoring the long-term vegetation dynamics in the amazon using normalized difference vegetation index, Remote Sensing of Environment, 97, 519, doi.org/10.1016/j.rse.2005.06.007 ; Narasimhan R. (2010), Daily modis products for analyzing early season vegetation dynamics across the north slope of alaska, Remote Sensing of Environment, 114, 6, 1251, doi.org/10.1016/j.rse.2010.01.017 ; Serbin S. (2009), Canopy dynamics and phenology of a boreal black spruce wildfire chronosequence, Agricultural and Forest Meteorology, 149, 1, 187, doi.org/10.1016/j.agrformet.2008.08.001 ; [Online]. Available: <a target="_blank" href='http://modis.gsfc.nasa.gov/about'>http://modis.gsfc.nasa.gov/about</a> ; Myneni R. (2002), Global products of vegetation leaf area and absorbed par from year one of modis data, Remote Sensing of Environment, 83, 214, doi.org/10.1016/S0034-4257(02)00074-3 ; Kandasamy S. (2010), The effective nature of lai as measured from remote sensing observations, null, 789. ; Verger A. (2011), A multisensor fusion approach to improve lai time series, Remote Sensing of Environment, 115, 2460, doi.org/10.1016/j.rse.2011.05.006 ; Jiang B. (2010), Modeling modis lai time series using three statistical methods, Remote Sensing of Environment, 114, 7, 1432, doi.org/10.1016/j.rse.2010.01.026 ; Hird J. (2009), Noise reduction of ndvi time series: An empirical comparison of selected techniques, Remote Sensing of Environment, 113, 1, 248, doi.org/10.1016/j.rse.2008.09.003 ; Baret F. (2006), Evaluation of the representativeness of land biophysical products: proposition of the ceos-belmanip, IEEE Transactions on Geoscience and Remote Sensing, 44, 7, 1794, doi.org/10.1109/TGRS.2006.876030 ; Yang W. (2006), Modis leaf area index products: From validation to algorithm improvement, IEEE Transactions on Geoscience and Remote Sensing, 44, 7, 1885, doi.org/10.1109/TGRS.2006.871215 ; Jonsson P. (2004), Timestat - a program for analyzing time series of satellite sensor data, Computers and Geosciences, 30, 8, 833, doi.org/10.1016/j.cageo.2004.05.006 ; Jonsson P. (2002), Seasonality extraction by function fitting to time series of satellite sensor data, IEEE Transactions on Geoscience and Remote Sensing, 40, 8, 1824, doi.org/10.1109/TGRS.2002.802519 ; Chen J. (2004), A simple method for reconstructing a high quality ndvi time series data set based on savitzky-golay filter, Remote Sensing of Environment, 91, 3-4, 332, doi.org/10.1016/j.rse.2004.03.014 ; Bacour C. (2006), Normalization of the directional effects in noaa - avhrr reflectance measurements for an improved monitoring of vegetation cycles, Remote Sensing of Environment, 102, 3-4, 402, doi.org/10.1016/j.rse.2006.03.006 ; Huang N. (1998), The empirical mode decomposition and the hilbert spectrum for nonlinear and non-stationary time series analysis, Proc. Of Royal Society of London, A, 454, 903, doi.org/10.1098/rspa.1998.0193 ; Golyandina N. (2007), The "caterpillar" - ssa method for analysis of time series with missing values, Journal of Statistical planning and Inference, 137, 8, 2642, doi.org/10.1016/j.jspi.2006.05.014 ; Weiss M. (2007), Lai and fapar cyclopes global products derived from vegetation. part 2: validation and comparison with modis collection 4 products, Remote Sensing of Environment, 110, 3, 317, doi.org/10.1016/j.rse.2007.03.001