The impact of potential land cover misclassification on modis leaf area index (LAI) estimation: A statistical perspective

Remote Sensing

Volumn 5, Issue 2, 2013, Pages 830-844

  Fang, Hongliang ^a   Li, Wenjuan ^a   Myneni, Ranga B ^b  

^a INSTITUTE OF GEOGRAPHIC SCIENCES AND NATURAL RESOURCES RESEARCH   (China)

^b BOSTON UNIVERSITY   (United States)

Author keywords

Biome misclassification; Biome type; Land cover; Leaf area index (LAI); Modis; Subpixel mixture; uncertainty

Indexed keywords

BIOME TYPE; LAND COVER; LEAF AREA INDEX; MISCLASSIFICATIONS; MODIS; SUB PIXELS; UNCERTAINTY;

ALGORITHMS; CLIMATOLOGY; ERRORS; ESTIMATION; LANDFORMS; MIXTURES; PIXELS; RADIOMETERS;

FORESTRY;

ALGORITHMS; BIOMASS; CLASSIFICATION; FORESTRY; LAND USE; METEOROLOGY; SATELLITES;

EID: 84874772218     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs5020830     Document Type: Article

References (38)

1. Global Climate Observing System (GCOS). Systematic Observation Requirements for Satellite-Based Products for Climate, 2011 Update, Supplemental Details to the Satellite-Based Component of the Implementation Plan for the Global Observing System for Climate in Support of the UNFCCC (2010 Update); 2011; p. 138. Available online: http://www.wmo.int/pages/prog/gcos/Publications/gcos-154.pdf (accessed on 13 November 2012).
2. Huang, D.; Knyazikhin, Y.; Wang, W.; Deering, D.W.; Stenberg, P.; Shabanov, N.; Tan, B.; Myneni, R.B. Stochastic transport theory for investigating the three-dimensional canopy structure from space measurements. Remote Sens. Environ. 2008, 112, 35-50.
3. Myneni, R.B.; Hoffman, S.; Knyazikhin, Y.; Privette, J.L.; Glassy, J.; Tian, Y.; Wang, Y.; Song, X.; Zhang, Y.; Smith, G.R.; et al. Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data. Remote Sens. Environ. 2002, 83, 214-231.
4. Baret, F.; Hagolle, O.; Geiger, B.; Bicheron, P.; Miras, B.; Huc, M.; Berthelot, B.; Niño, F.; Weiss, M.; Samain, O.; et al. LAI, fPAR, and fCover CYCLOPES global products derived from VEGETATION Part 1: Principles of the algorithm. Remote Sens. Environ. 2007, 110, 275-286.
5. Deng, F.; Chen, J.M.; Plummer, S.; Chen, M.; Pisek, J. Algorithm for global leaf area index retrieval using satellite imagery. IEEE Trans. Geosci. Remote Sens. 2006, 44, 2219-2229.
6. Plummer, S.; Arino, O.; Simon, M.; Steffen, W. Establishing a earth observation product service for the terrestrial carbon community: The globcarbon initiative. Mitig. Adapt. Strat. Gl. 2006, 11, 97-111.
7. Morisette, J.T.; Baret, F.; Privette, J.L.; Myneni, R.B.; Nickeson, J.E.; Garrigues, S.; Shabanov, N.V.; Weiss, M.; Fernandes, R.A.; Leblanc, S.G.; et al. Validation of global moderate-resolution LAI products: a framework proposed within the CEOS land product validation subgroup. IEEE Trans. Geosci. Remote Sens. 2006, 44, 1804-1817.
8. Fang, H.; Wei, S.; Jiang, C.; Scipal, K. Theoretical uncertainty analysis of global MODIS, CYCLOPES and GLOBCARBON LAI products using a triple collocation method. Remote Sens. Environ. 2012, 124, 610-621.
9. Knyazikhin, Y.; Glassy, J.; Privette, J.L.; Tian, Y.; Lotsch, A.; Zhang, Y.; Wang, Y.; Morisette, J.T.; Votava, P.; Myneni, R.B.; et al. MODIS Leaf Area Index (LAI) and Fraction of Photosynthetically Active Radiation Absorbed by Vegetation (FPAR) Product (MOD15) Algorithm Theoretical Basis Document; 1999; p 126. Available online: http://modis.gsfc.nasa.gov/data/atbd/land_atbd.php (accessed on 13 November 2012).
10. Pinty, B.; Andredakis, I.; Clerici, M.; Kaminski, T.; Taberner, M.; Verstraete, M.M.; Gobron, N.; Plummer, S.; Widlowski, J.L. Exploiting the MODIS albedos with the Two-stream Inversion Package (JRC-TIP): 1. Effective leaf area index, vegetation, and soil properties. J. Geophys. Res. 2011, 116, D09105.
11. Gemmell, F.; Varjo, J.; Strandstrom, M.; Kuusk, A. Comparison of measured boreal forest characteristics with estimates from TM data and limited ancillary information using reflectance model inversion. Remote Sens. Environ. 2002, 81, 365-377.
12. Wang, Y.; Tian, Y.; Zhang, Y.; El-Saleous, N.; Knyazikhin, Y.; Vermote, E.; Myneni, R.B. 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, 296-311.
13. Yang, W.; Tan, B.; Huang, D.; Rautiainen, M.; Shabanov, N.V.; Wang, Y.; Privette, J.L.; Huemmrich, K.F.; Fensholt, R.; Sandholt, I.; et al. MODIS leaf area index products: from validation to algorithm improvement. IEEE Trans. Geosci. Remote Sens. 2006, 44, 1885-1898.
14. Vermote, E.F.; El Saleous, N.Z.; Justice, C.O. Atmospheric correction of MODIS data in the visible to middle infrared: First results. Remote Sens. Environ. 2002, 83, 97-111.
15. DeFries, R.S.; Los, S.O. Implications of land-cover misclassification for parameter estimates in global land-surface models: An example from the simple biosphere model (SiB2). Photogramm. Eng. Remote Sensing 1999, 65, 1083-1088.
16. Gonsamo, A.; Chen, J.M. Evaluation of the GLC2000 and NALC2005 land cover products for LAI retrieval over Canada. Can. J. Remote Sens. 2011, 37, 302-313.
17. Masson, V.; Champeaux, J.L.; Chauvin, F.; Meriguet, C.; Lacaze, R. A global database of land surface parameters at 1-km resolution in meteorological and climate models. J. Clim. 2003, 16, 1261-1282.
18. Friedl, M.A.; Sulla-Menashe, D.; Tan, B.; Schneider, A.; Ramankutty, N.; Sibley, A.; Huang, X. MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets. Remote Sens. Environ. 2010, 114, 168-182.
19. Herold, M.; Mayaux, P.; Woodcock, C.E.; Baccini, A.; Schmullius, C. Some challenges in global land cover mapping: An assessment of agreement and accuracy in existing 1 km datasets. Remote Sens. Environ. 2008, 112, 2538-2556.
20. Fang, H.; Liang, S. A hybrid inversion method for mapping leaf area index from MODIS data: Experiments and application to broadleaf and needleleaf canopies. Remote Sens. Environ. 2005, 94, 405-424.
21. Hu, J.; Martonchik, J.V.; Diner, D.J.; Knyazikhin, Y.; Myneni, R.B.; Tan, B.; Shabanov, N.; Crean, K.A. Performance of the MISR LAI and FPAR algorithm: A case study in Africa. Remote Sens. Environ. 2003, 88, 324-340.
22. Tian, Y.; Zhang, Y.; Knyazikhin, Y.; Myneni, R.B.; Glassy, J.M.; Dedieu, G.; Running, S.W. Prototyping of MODIS LAI and FPAR algorithm with LASUR and Landsat data. IEEE Trans. Geosci. Remote Sens. 2000, 38, 2387-2401.
23. Knyazikhin, Y.; Martonchik, J.V.; Diner, D.J.; Myneni, R.B.; Verstraete, M.; Pinty, B.; Gobron, N. Estimation of vegetation canopy leaf area index and fraction of absorbed photosynthetically active radiation from MISR data. J. Geophys. Res. 1998, 103, 32239-32256.
24. Knyazikhin, Y.; Martonchik, J.V.; Myneni, R.B.; Dine, D.J.; Running, S.W. Synergistic algorithm for estimating vegetation canopy leaf area index and fraction of absorbed photosynthetically active radiation from MODIS and MISR data. J. Geophys. Res. 1998, 103, 32257-23276.
25. Friedl, M.A.; McIver, D.K.; Hodges, J.C.F.; Zhang, X.Y.; Muchoney, D.; Strahler, A.H.; Woodcock, C.E.; Gopal, S.; Schneider, A.; Cooper, A. Global land cover mapping from MODIS: Algorithms and early results. Remote Sens. Environ. 2002, 83, 287-302.
26. Kaptue Tchuente, A.T.; Roujean, J.-L.; Faroux, S. ECOCLIMAP-II: An ecosystem classification and land surface parameters database of Western Africa at 1 km resolution for the African Monsoon Multidisciplinary Analysis (AMMA) project. Remote Sens. Environ. 2010, 114, 961-976.
27. Pandya, M.R.; Singh, R.P.; Chaudhari, K.N.; Bairagi, G.D.; Sharma, R.; Dadhwal, V.K.; Parihar, J.S. Leaf area index retrieval using IRS LISS-III sensor data and validation of the MODIS LAI product over central India. IEEE Trans. Geosci. Remote Sens. 2006, 44, 1858-1865.
28. Tan, B.; Hu, J.; Zhang, P.; Huang, D.; Shabanov, N.; Weiss, M.; Knyazikhin, Y.; Myneni, R.B. Validation of MOderate Resolution Imaging Spectroradiometer leaf area index product in croplands of Alpilles, France. J. Geophys. Res. 2005, 110, doi: 10.1029/2004JD004860.
29. Yang, P.; Shibasaki, R.; Wu, W.; Zhou, Q.; Chen, Z.; Zha, Y.; Shi, Y.; Tang, H. Evaluation of MODIS land cover and LAI products in cropland of North China Plain using in situ measurements and Landsat TM images. IEEE Trans. Geosci. Remote Sens. 2007, 45, 3087-3097.
30. Lotsch, A.; Tian, Y.; Friedl, M.A.; Myneni, R.B. Land cover mapping in support of LAI and FPAR retrievals from EOS-MODIS and MISR: classification methods and sensitivities to errors. Int. J. Remote Sens. 2003, 24, 1997-2016.
31. Tian, Y.; Woodcock, C.E.; Wang, Y.; Privette, J.L.; Shabanov, N.V.; Zhou, L.; Zhang, Y.; Buermann, W.; Dong, J.; Veikkanen, B.; et al. Multiscale analysis and validation of the MODIS LAI product I. Uncertainty assessment. Remote Sens. Environ. 2002, 83, 414-430.
32. Hill, M.J.; Senarath, U.; Lee, A.; Zeppel, M.; Nightingale, J.M.; Williams, R.D.J.; McVicar, T.R. Assessment of the MODIS LAI product for Australian ecosystems. Remote Sens. Environ. 2006, 101, 495-518.
33. Hanan, N.P.; Hill, M.J. Savannas in a Changing Earth System: The NASA Terrestrial Ecology Tree-Grass Project; 2011; p. 53. Available online: http://cce.nasa.gov/terrestrial_ecology/scoping.html (accessed on 1 March 2012).
34. Myneni, R.; Knyazikhin, Y.; Shabanov, N. Leaf Area Index and Fraction of Absorbed PAR Products from Terra and Aqua MODIS Sensors: Analysis, Validation, and Refinement. In Land Remote Sensing and Global Environmental Change: NASA's Earth Observing System and the Science of ASTER and MODIS, 1st ed.; Ramachandran, B., Justice, C.O., Abrams, M.J., Eds.; Springer: New York, NY, USA, 2011; pp. 603-633.
35. Bach, H.; Mauser, W. Methods and examples for remote sensing data assimilation in land surface process modeling. IEEE Trans. Geosci. Remote Sens. 2003, 41, 1629-1637.
36. Sellers, P.J.; Mintz, Y.; Sud, Y.C.; Dalcher, A. A simple biosphere model (SiB) for use within general circulation models. J. Atmops. Sci. 1986, 43, 505-531.
37. Bonan, G.B.; Levis, S.; Kergoat, L.; Oleson, K.W. Landscapes as patches of plant functional types: An integrating concept for climate and ecosystem models. Glob. Biogeochem. Cy. 2002, 16, 1-25.
38. El Maayar, M.; Chen, J.M. Spatial scaling of evapotranspiration as affected by heterogeneities in vegetation, topography, and soil texture. Remote Sens. Environ. 2006, 102, 33-51.