Validation of MODIS and GEOV1 fPAR products in a boreal forest site in Finland

Remote Sensing

Volumn 7, Issue 2, 2015, Pages 1359-1379

  Majasalmi, Titta ^a   Rautiainen, Miina ^a   Stenberg, Pauline ^a   Manninen, Terhikki ^b  

^a UNIVERSITY OF HELSINKI   (Finland)

^b FINNISH METEOROLOGICAL INSTITUTE   (Finland)

Author keywords

Canopy absorption model; LAI 2000; TRAC

Indexed keywords

RADIOMETERS; REMOTE SENSING;

CANOPY ABSORPTION; FOREST PRODUCTIVITY; LAI-2000; PHOTOSYNTHETICALLY ACTIVE RADIATION; SATELLITE PRODUCTS; SURFACE REFLECTANCE; TEMPORAL VARIATION; TRAC;

FORESTRY;

FOREST CANOPY; PRODUCTIVITY; RADIATION; REMOTE SENSING;

EID: 84928812997     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs70201359     Document Type: Article

References (42)

1. Global Climate Observing System (GCOS). Update on Progress Made by Space Agencies Involved in Global Observations in Their Coordinated Response to Relevant Needs of the Global Climate Observing System and the Convention. Available online: http://www.wmo.int/pages/prog/gcos/documents/SBSTA37_misc14_CEOS.pdf (accessed on 3 December 2014).
2. Monteith, J.L. Solar radiation and productivity in tropical ecosystems. J. Appl. Ecol. 1972, 9, 747-766.
3. Rouse, J.W.; Haas, R.H.; Schell, J.A.; Deering, D.W. Monitoring vegetation systems in the Great Plains with ERTS. Technical Presentations. In Third Earth Resources Technology Satellite-1 Symposium; NASA SP-351. NASA: Washington, DC, USA, 1974; pp. 309-317.
4. McCallum, I.; Wagner, W.; Schmullius, C.; Shvidenko, A.; Obersteiner, M.; Fritz, S.; Nilsson, S. Comparison of four global FAPAR datasets over Northern Eurasia for the year 2000. Remote Sens. Environ. 2010, 114, 941-949.
5. D'Odorico, P.; Gonsamo, A.; Pinty, B.; Gobron, N.; Coops, N.; Mendez, E.; Schaepman, M.E. Intercomparison of fraction of absorbed photosynthetically active radiation products derived from satellite data over Europe. Remote Sens. Environ. 2014, 142, 141-154.
6. Pickett-Heaps, C.; Canadell, J.; Briggs, P.; Gobron, N.; Haverd, V.; Paget, M.; Pinty, B.; Raupach, M. Evaluation of six satellite-derived Fraction of Absorbed Photosynthetic Active Radiation (FAPAR) products across the Australian continent. Remote Sens. Environ. 2014, 140, 241-256.
7. Olofsson, P.; Eklundh, L. Estimation of absorbed PAR across Scandinavia from satellite measurements. Part II: Modeling and evaluating the fractional absorption. Remote Sens. Environ. 2007, 110, 240-251.
8. Steinberg, D.C.; Goetz, S.J.; Hyer, E.J. Validation of MODIS FPAR products in boreal forests of Alaska. IEEE Trans. Geosci. Remote Sens. 2006, 44, 1818-1828.
9. Iwata, H.; Ueyama, M.; Iwama, C.; Harazono, Y. A variation in the fraction of absorbed photosynthetically active radiation and a comparison with MODIS data in burned black spruce forests of interior Alaska. Polar Sci. 2013, 7, 113-124.
10. Martínez, B.; Camacho, F.; Verger, A.; García-Haro, F.J.; Gilabert, M.A. Intercomparison and quality assessment of MERIS, MODIS and SEVIRI FAPAR products over the Iberian Peninsula. Int. J. Appl. Earth Obs. Geoinf. 2013, 21, 463-476.
11. Steinberg, D.C.; Goetz, S.J. Assessment and extension of the MODIS FPAR products in temperate forests of the eastern United States. Int. J. Remote Sens. 2009, 30, 169-187.
12. Senna, M.C.; Costa, M.H.; Shimabukuro, Y.E. Fraction of photosynthetically active radiation absorbed by Amazon tropical forest: A comparison of field measurements, modeling, and remote sensing. J. Geophys. Res. 2005, 110.
13. Weiss, M.; Baret, F.; Block, T.; Koetz, B.; Burini, A.; Scholze, B.; Lecharpentier, P.; Brockmann, C.; Fernandes, R.; Plummer, S.; et al. On Line Validation Exercise (OLIVE): A web based service for the validation of medium resolution land products. Application to FAPAR products. Remote Sens. 2014, 6, 4190-4216.
14. Camacho, F.; Cernicharo, J.; Lacaze, R.; Baret, F.; Weiss, M. GEOV1: LAI, FAPAR essential climate variables and FCOVER global time series capitalizing over existing products. Part 2: Validation and intercomparison with reference products. Remote Sens. Environ. 2013, 137, 310-329.
15. Serbin, S.P.; Ahl, D.E.; Gower, S.T. Spatial and temporal validation of the MODIS LAI and fPAR products across a boreal forest wildfire chronosequence. Remote Sens. Environ. 2013, 133, 71-84.
16. Combal, B.; Baret, F.; Weiss, M.; Trubuil, A.; Mace, D.; Pragnere, A.; Myneni, R.; Knyazikhin, Y.; Wang, L. Retrieval of canopy biophysical variables from bidirectional reflectance using prior information to solve the ill-posed inverse problem. Remote Sens. Environ. 2003, 84, 1-15.
17. Gobron, N.; Pinty, B.; Aussedat, O.; Taberner, M.; Faber, O.; Mélin, F.; Levergne, T.; Robustelli, M.; Snoeij, P. Uncertainty estimates for the FAPAR operational products derived from MERIS-Impact of top-of-atmosphere radiance uncertainties and validation with field data. Remote Sens. Environ. 2008, 112, 1871-1883.
18. Mõttus, M.; Sulev, M.; Baret, F.; Lopez-Lozano, R.; Reinart, A. Photosynthetically active radiation: Measurement and modeling. In Encyclopedia of Sustainability Science and Technology; Meyers, R., Ed.; Springer: New York, NY, USA, 2012; pp. 7900-7932.
19. Stenberg, P.; Lukeš, P.; Rautiainen, M.; Manninen, M. A new approach for simulating forest albedo based on spectral invariants. Remote Sens. Environ. 2013, 137, 12-16.
20. Majasalmi, T.; Rautiainen, M.; Stenberg, P. Modeled and measured fPAR in a boreal forest: Validation and application of a new model. Agr. Forest Meteorol. 2014, 189-190, 118-124.
21. CORINE Land Cover 2006. Coordination of Information on the Environment. Available online: http://www.eea.europa.eu/publications/COR0-landcover (accessed on 3 December 2014).
22. Fang, H.; Li, W.; Myneni, R.B. The impact of potential land cover misclassification on MODIS leaf area index (LAI) estimation: A statistical perspective. Remote Sens. 2013, 5, 830-844.
23. Rautiainen, M.; Mottus, M.; Heiskanen, J.; Akujärvi, A.; Majasalmi, T.; Stenberg, P. Seasonal reflectance dynamics of common understory types in a northern European boreal forest. Remote Sens. Environ. 2011, 115, 3020-3028.
24. LI-COR. LAI-2000 Plant Canopy Analyzer: Instruction Manual. Available online: ftp://ftp.licor.com/perm/env/LAI-2000/Manual/LAI-2000_Manual.pdf (accessed on 3 December 2014).
25. Leblanc, S.G.; Chen, J.M.; Kwong, M. Tracing Radiation and Architecture of Canopies. TRAC Manual. Version 2.1.3. Available online: http://faculty.geog.utoronto.ca/Chen/Chen's%20homepage/PDFfiles/tracmanu.pdf (accessed on 3 December 2014).
26. VALERI. Validation of Land European Remote Sensing Instruments. Available online: http://w3.avignon.inra.fr/valeri/ (accessed on 3 December 2014).
27. Majasalmi, T.; Rautiainen, M.; Stenberg, P.; Rita, H. Optimizing sampling scheme for LAI-2000 measurements in a boreal forest. Agr. Forest Meteorol. 2012, 154-155, 38-43.
28. Smolander, S.; Stenberg, P. Simple parameterizations of the radiation budget of uniform broadleaved and coniferous canopies. Remote Sens. Environ. 2005, 94, 355-363.
29. Stenberg, P. Simple analytical formula for calculating average photon recollision probability in vegetation canopies. Remote Sens. Environ. 2007, 109, 221-224.
30. Smolander, S.; Stenberg, P.; Linder, S. Dependence of light interception efficiency of Scots pine shoots on structural parameters. Tree Physiol. 1994, 14, 971-980.
31. Stenberg, P.; Linder, S.; Smolander, H. Variation in the ratio of shoot silhouette area to needle area in fertilized and nonfertilized Norway spruce trees. Tree Physiol. 1995, 15, 705-712.
32. Lukeš, P.; Stenberg, P.; Rautiainen, M.; Mõttus, M.; Vanhatalo, K.M. Optical properties of leaves and needles for boreal tree species in Europe. Remote Sens. Lett. 2013, 4, 667-676.
33. 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. Available online: http://modis.gsfc.nasa.gov/data/atbd/atbd_mod15.pdf (accessed on 3 December 2014).
34. 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.
35. Baret, F.; Weiss, M.; Lacaze, R.; Camacho, F.; Makhmara, H.; Pacholcyzk, P.; Smets, B. GEOV1: LAI and FAPAR essential climate variables and FCOVER global time series capitalizing over existing products. Part1: Principles of development and production. Remote Sens. Environ. 2013, 137, 299-309.
36. MetINFO Phenological Observations. Available online: http://www.metla.fi/metinfo/fenologia/index-en.htm (accessed on 3 December 2014).
37. Chen, J. Evaluation of vegetation indices and a modified simple ratio for boreal applications. Can. J. Remote Sens. 1996, 22, 229-242.
38. CEOS Cal/Val Portal. Available online: http://calvalportal.ceos.org/web/olive (accessed on 3 December 2014).
39. Stenberg, P.; Rautiainen, M.; Manninen, T.; Voipio, P.; Smolander, H. Reduced simple ratio better than NDVI for estimating LAI in Finnish pine and spruce stands. Silva Fenn. 2004, 38, 3-14.
40. Pisek, J.; Rautiainen, M.; Heiskanen, J.; Mõttus, M. Retrieval of seasonal dynamics of forest understory reflectance in a Northern European boreal forest from MODIS BRDF data. Remote Sens. Environ. 2012, 117, 464-468.
41. Eenmäe, A.; Nilson, T.; Lang, M. A note on meteorological variables related trends in the MODIS NPP product for Estonia. Forest. Stud. 2011, 55, 60-63.
42. Ganguly, S.; Nemani, R.R.; Zhang, G.; Hashimoto, H.; Milesi, C.; Michaelis, A.; Wang, W.; Votava, P.; Samanta, A.; Melton, F.; et al. Generating global leaf area index from Landsat: Algorithm formulation and demonstration. Remote Sens. Environ. 2012, 122, 185-202.