Improving LAI mapping by integrating MODIS and CYCLOPES LAI products using optimal interpolation

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 7, Issue 2, 2014, Pages 445-457

  Wang, Dongdong ^a   Liang, Shunlin ^b  

^a UNIVERSITY OF MARYLAND   (United States)

^b NONE

Author keywords

CYCLOPES; Data fusion; LAI; MODIS; Optimal interpolation

Indexed keywords

EID: 84894595974     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2013.2264870     Document Type: Article

References (64)

1. S. Garrigues et al., "Validation and intercomparison of global leaf area index products derived from remote sensing data," J. Geophys. Res. -Biogeosci., vol. 113, Jun. 2008.
2. J. Demarty et al., "Assimilation of global MODIS leaf area index retrievals within a terrestrial biosphere model," Geophys. Res. Lett., vol. 34, Aug. 2007.
3. H. Yan et al., "Global estimation of evapotranspiration using a leaf area index-based surface energy and water balance model," Remote Sens. Environ., vol. 124, pp. 581-595, Sep. 2012.
4. P. J. Lawrence and T. N. Chase, "Representing a new MODIS consistent land surface in the community land model (CLM3.0)," J.Geophys. Res.-Biogeosci., vol. 112, Mar. 2007.
5. J. R. G. Townshend and C. O. Justice, "Towards operationalmonitoring of terrestrial systems by moderate-resolution remote sensing," Remote Sens. Environ., vol. 83, pp. 351-359, Nov. 2002. (Pubitemid 35307478)
6. R. B. Myneni et al., "Global products of vegetation leaf area and fraction absorbed par from year one of MODIS data," Remote Sens. Environ., vol. 83, pp. 214-231, Nov. 2002. (Pubitemid 35307470)
7. F. Baret et al., "LAI, fAPAR and fCover CYCLOPES global products derived from vegetation-Part 1: Principles of the algorithm," Remote Sens. Environ., vol. 110, pp. 275-286, Oct. 2007. (Pubitemid 47299238)
8. H. L. Fang et al., "Spatially and temporally continuous LAI data sets based on an integrated filtering method: Examples from North America," Remote Sens. Environ., vol. 112, pp. 75-93, 2008.
9. D.Wang and S. Liang, "IntegratingMODIS and CYCLOPES leaf area index products using empirical orthogonal functions," IEEE Trans. Geosci. Remote Sens., vol. 49, pp. 1513-1519, 2011.
10. M. S. Sprintsin et al., "Evaluating the performance of the MODIS leaf area index (LAI) product over a Mediterranean dryland planted forest," Int. J. Remote Sens., vol. 30, pp. 5061-5069, 2009.
11. A. Brut et al., "Modelling LAI at a regional scale with ISBA-A-gs: comparison with satellite-derived LAI over southwestern France," Biogeosci., vol. 6, pp. 1389-1404, 2009.
12. GCOS, Systematic Observation Requirements for Satellite-Based Products for Climate, Geneva, Switzerland, 2006.
13. C. Francois et al., "Analytical parameterization of canopy directional emissivity and directional radiance in the thermal infrared. Application on the retrieval of soil and foliage temperatures using two directional measurements," Int. J. Remote Sens., vol. 18, pp. 2587-2621, Aug. 1997.
14. H. Fang et al., "Validation of MODIS and CYCLOPES LAI products using global field measurement data," Remote Sens. Environ., vol. 119, pp. 43-54, Apr. 2012.
15. J. Qin et al., "Development of the adjoint model of a canopy radiative transfer model for sensitivity study and inversion of leaf area index," IEEE Trans. Geosci. Remote Sens., vol. 46, pp. 2028-2037, 2008.
16. Z. Q. Xiao et al., "Retrieval of canopy biophysical variables from remote sensing data using contextual information," J. Central South Univ. Technol., vol. 15, pp. 877-881, Dec. 2008.
17. Z. Q. Xiao et al., "A temporally integrated inversion method for estimating leaf area index from MODIS data," IEEE Trans. Geosci. Remote Sens., vol. 47, pp. 2536-2545, 2009.
18. J. M. Chen et al., "Locally adjusted cubic-spline capping for reconstructing seasonal trajectories of a satellite-derived surface parameter," IEEE Trans. Geosci. Remote Sens., vol. 44, pp. 2230-2238, Aug. 2006.
19. A. Verger et al., "A multisensor fusion approach to improve LAI time series," Remote Sens. Environ., vol. 115, pp. 2460-2470, Oct. 2011.
20. P. J. Sellers et al., "A global 1 by 1 NDVI data set for climate studies. Part 2: the generation of global fields of terrestrial biophysical parameters from the NDVI," Int. J. Remote Sens., vol. 15, pp. 3519-3545, 1994.
21. J. Chen et al., "A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky-Golay filter," Remote Sens. Environ., vol. 91, pp. 332-344, Jun. 2004. (Pubitemid 38791552)
22. X. Y. Zhang et al., "Monitoring vegetation phenology using MODIS," Remote Sens. Environ., vol. 84, pp. 471-475, Mar. 2003.
23. X. L. Lu et al., "Removal of noise by wavelet method to generate high quality temporal data of terrestrial MODIS products," Photogramm. Eng. Remote Sens., vol. 73, pp. 1129-1139, Oct. 2007.
24. X. Y. Zhang et al., "Global vegetation phenology from moderate resolution imaging spectroradiometer (MODIS): evaluation of global patterns and comparison with in situ measurements," J. Geophys. Res. -Biogeosci., vol. 111, Dec. 2006.
25. S. L. Piao et al., "Variations in satellite-derived phenology in China's temperate vegetation," Global Change Biology, vol. 12, pp. 672-685, Apr. 2006.
26. T. Sakamoto et al., "A crop phenology detection method using timeseries MODIS data," Remote Sens. Environ., vol. 96, pp. 366-374, Jun. 2005. (Pubitemid 40912437)
27. J. S. Borak and M. F. Jasinski, "Effective interpolation of incomplete satellite-derived leaf-area index time series for the continental united states," Agricult. Forest Meteorol., vol. 149, pp. 320-332, Feb. 2009. (Pubitemid 50308245)
28. Y. X. Gu et al., "Optimal interpolation analysis of leaf area index using MODIS data," Remote Sens. Environ., vol. 104, pp. 283-296, Oct. 2006.
29. "An operational objective analysis system," Monthly Weather Rev., vol. 87, pp. 367-374, 1959.
30. M. Y. Chen et al., "Assessing objective techniques for gauge-based analyses of global daily precipitation," J. Geophys. Res.-Atmospheres, vol. 113, Feb. 2008.
31. R. W. Reynolds and T. M. Smith, "Improved global sea surface temperature analyses using optimal interpolation," J. Climate, vol. 7, pp. 929-948, Jun. 1994.
32. P. Y. L. Traon et al., "An improved mapping method of multisatellite altimeter data," J. Atmosph. Ocean. Technol., vol. 15, pp. 522-534, Apr. 1998.
33. C. Pottier et al., "Merging seawifs and Modis/Aqua ocean color data in north and equatorial Atlantic using weighted averaging and objective analysis," IEEE Trans. Geosci. Remote Sens., vol. 44, pp. 3436-3451, Nov. 2006.
34. M. R. P. Sapiano et al., "A new merged analysis of precipitation utilizing satellite and reanalysis data," J. Geophys. Res.-Atmospheres, vol. 113, Nov. 2008.
35. Y. Chao et al., "Blending sea surface temperatures from multiple satellites and in situ observations for coastal oceans," J. Atmosph. Ocean. Technol., vol. 26, pp. 1415-1426, Jul. 2009.
36. F. Deng et al., "Algorithm for global leaf area index retrieval using satellite imagery," IEEE Trans. Geosci. Remote Sens., vol. 44, pp. 2219-2229, Aug. 2006.
37. J. N. Hu et al., "Analysis of theMISR LA/FPAR product for spatial and temporal coverage, accuracy and consistency," Remote Sens. Environ., vol. 107, pp. 334-347, Mar. 2007.
38. P. Bicherons et al., "LAI and fAPAR mapping at global scale by model inversion against spaceborne Polder data," in Proc. IEEE Int. Geoscience and Remote Sensing Symp. (IGARRS'98), Seattle, WA, USA, 1998, pp. 1228-1230.
39. Y. H. Tian et al., "Prototyping of MODIS LAI and fPAR algorithm with Lasur and Landsat data," IEEE Trans. Geosci. Remote Sens., vol. 38, pp. 2387-2401, Sep. 2000.
40. N. Shabanov et al., Collection 5 MODIS LAI and FPAR Products. [Online]. Available: http://modis.gsfc.nasa.gov/sciteam/meetings/ c5meeting/pres/day1/ shabanov.pdf
41. D. P. Roy et al., "The MODIS land product quality assessment approach," Remote Sens. Environ., vol. 83, pp. 62-76, Nov. 2002. (Pubitemid 35307461)
42. C. Bacour et al., "Cyclopes algorithmic development for estimating biophysical products from large swath sensors," in Proc. IEEE Int. Geoscience and Remote Sensing Symp. (IGARRS'03), Toulouse, France, 2003, pp. 3902-3904.
43. S. Jacquemoud and F. Baret, "Prospect - A model of leaf optical properties spectra," Remote Sens. Environ., vol. 34, pp. 75-91, Nov. 1990.
44. W. Verhoef, "Light - scattering by leaf layers with application to canopy reflectance modeling - the SAIL model," Remote Sens. Environ., vol. 16, pp. 125-141, 1984.
45. J. L. Roujean et al., "A bidirectional reflectance model of the earths surface for the correction of remote sensing data," J. Geophys. Res. -Atmospheres, vol. 97, pp. 20455-20468, Dec. 1992.
46. J. T. Morisette et al., "Validation of global moderate-resolution LAI products: A framework proposed within the CEOS land product validation subgroup," IEEE Trans. Geosci. Remote Sens., vol. 44, pp. 1804-1817, Jul. 2006.
47. J. T. Morisette et al., "A framework for the validation of MODIS land products," Remote Sens. Environ., vol. 83, pp. 77-96, Nov. 2002. (Pubitemid 35307462)
48. W. B. Cohen et al., "Comparisons of land cover and LAI estimates derived from ETM plus and MODIS for four sites in North America: a quality assessment of 2000/2001 provisional MODIS products," Remote Sens. Environ., vol. 88, pp. 233-255, Dec. 2003. (Pubitemid 38178940)
49. J. M. Chen et al., "Derivation and validation of Canada-wide coarse-resolution leaf area index maps using high-resolution satellite imagery and ground measurements," Remote Sens. Environ., vol. 80, pp. 165-184, Apr. 2002. (Pubitemid 34271211)
50. M. Berterretche et al., "Comparison of regression and geostatistical methods for mapping leaf area index (LAI) with Landsat ETM+data over a boreal forest," Remote Sens. Environ., vol. 96, pp. 49-61, May 2005. (Pubitemid 40607843)
51. S. N. Burrows et al., "Application of geostatistics to characterize leaf area index (LAI) from flux tower to landscape scales using a cyclic sampling design," Ecosyst., vol. 5, pp. 667-679, Nov. 2002. (Pubitemid 36003292)
52. W. B. Cohen et al., "MODIS land cover and LAI collection 4 product quality across nine sites in the Western hemisphere," IEEE Trans. Geosci. Remote Sens., vol. 44, pp. 1843-1857, 2006. (Pubitemid 44109505)
53. R. A. Fernandes et al., Leaf Area Index Maps at 30-m Resolution, VALERI Site, Larose, Canada. Oak Ridge, TN, USA: Oak Ridge National Laboratory Distributed Active Archive Ctr., 2006.
54. R. A. Fernandes et al., Leaf Area Index Maps at 30-m Resolution, Selected Sites, Canada. Data set. Oak Ridge, TN, USA: Oak Ridge National Laboratory Distributed Active Archive Center, 2005.
55. L. S. Gandin, Objective Analysis of Meteorological Fields. Jerusalem, Israel: Program for Scientific Translations, 1965.
56. G.Matheron, "Principles of geostatistics," Economic Geology, vol. 58, pp. 1246-1266, 1963.
57. F. Matheron et al., "A technique for objective analysis and design of oceanographic experiments applied to mode-73," Deep-Sea Res., vol. 23, pp. 559-582, 1976.
58. G. Christakos et al., "Total ozone mapping by integrating databases from remote sensing instruments and empirical models," IEEE Trans. Geosci. Remote Sens., vol. 42, pp. 991-1008, May 2004.
59. A. Douaik et al., "Soil salinity mapping using spatio-temporal Kriging and Bayesian maximum entropy with interval soft data," Geoderma, vol. 128, pp. 234-248, Oct. 2005. (Pubitemid 41127231)
60. N. Cressie, Statistics for Spatial Data. New York, NY, USA: Wiley, 1993.
61. M.Weiss et al., "LAI and fAPAR CYCLOPES global products derived from vegetation. Part 2: validation and comparison with MODIS collection 4 products," Remote Sens. Environ., vol. 110, pp. 317-331, Oct. 2007. (Pubitemid 47285205)
62. R. Fensholt et al., "Evaluation of MODIS LAI, fAPAR and the relation between fAPAR and NDVI in a semi-arid environment using in situ measurements," Remote Sens. Environ., vol. 91, pp. 490-507, Jun. 2004. (Pubitemid 38791562)
63. J. Pisek and J. M. Chen, "Comparison and validation of MODIS and vegetation global LAI products over four Bigfoot sites in North America," Remote Sens. Environ., vol. 109, pp. 81-94, 2007. (Pubitemid 46776739)
64. H. Fang et al., "Theoretical uncertainty analysis of globalMODIS, CYCLOPES, andGLOBCARBON LAI products using a triple collocation method," Remote Sens. Environ., vol. 124, pp. 610-621, 2012.