A Cross comparison of spatiotemporally enhanced springtime phenological measurements from satellites and ground in a northern U.S. mixed forest

IEEE Transactions on Geoscience and Remote Sensing

Volumn 52, Issue 12, 2014, Pages 7513-7526

  Liang, Liang ^a   Schwartz, Mark D ^b   Wang, Zhuosen ^c,d,e   Gao, Feng ^f   Schaaf, Crystal B ^c   Tan, Bin ^g   Morisette, Jeffrey T ^h   Zhang, Xiaoyang ⁱ  

^a UNIVERSITY OF KENTUCKY   (United States)

^b UNIVERSITY OF WISCONSIN MILWAUKEE   (United States)

^c UNIVERSITY OF MASSACHUSETTS BOSTON   (United States)

^d NASA GODDARD SPACE FLIGHT CENTER   (United States)

^e OAK RIDGE ASSOCIATED UNIVERSITIES   (United States)

^f AGRICULTURAL RESEARCH SERVICE   (United States)

^g SIGMA SPACE CORPORATION   (United States)

^h Department of Environmental and Radiological Health Sciences   (United States)

ⁱ SOUTH DAKOTA STATE UNIVERSITY   (United States)

Author keywords

Daily Moderate Resolution Imaging Spectroradiometer (MODIS); Earth Observing System (EOS) land validation core sites; land surface phenology (LSP); landscape phenology (LP); phenology; Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM)

Indexed keywords

BIOLOGY; RADIOMETERS; SATELLITE IMAGERY; SURFACE MEASUREMENT; TIME SERIES; VEGETATION;

EARTH OBSERVING SYSTEMS; FUSION MODEL; LAND SURFACE PHENOLOGY; LANDSCAPE PHENOLOGY (LP); MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; PHENOLOGY;

FORESTRY;

BIOPHYSICS; BUDBURST; CONIFEROUS TREE; DECIDUOUS TREE; EOS; ERROR ANALYSIS; LAND SURFACE; MIXED FOREST; MODIS; PHENOLOGY; SATELLITE IMAGERY; SPATIOTEMPORAL ANALYSIS; SPECTRAL REFLECTANCE; SPRING (SEASON); TIME SERIES ANALYSIS;

BIOLOGY; FORESTRY; IMAGE ANALYSIS; PHENOLOGY; RADIOMETRY; SATELLITES; TIME SERIES ANALYSIS;

UNITED STATES;

CONIFERALES;

EID: 84903314157     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2014.2313558     Document Type: Article

References (73)

1. M. D. Schwartz, Phenology: An Integrative Environmental Science. Dordrecht, The Netherlands: Kluwer, 2003.
2. J. T.Morisette, A. D. Richardson, A. K. Knapp, J. I. Fisher, E. A. Graham, J. Abatzoglou, B. E.Wilson, D. D. Breshears, G. M. Henebry, J. M. Hanes, and L. Liang, "Tracking the rhythm of the seasons in the face of global change: Phenological research in the 21st century," Frontiers Ecology Environ., vol. 7, no. 5, pp. 253-260, Jul. 1, 2009.
3. X. Zhang, J. C. F. Hodges, C. B. Schaaf, M. A. Friedl, A. H. Strahler, and F. Gao, "Global vegetation phenology from AVHRR and MODIS data," in Proc. IEEE Int. Geosci. Remote Sens. Symp., 2001, vol. 5, pp. 2262-2264. (Pubitemid 34221765)
4. K. M. de Beurs and G. M. Henebry, "Land surface phenology, climatic variation, and institutional change: Analyzing agricultural land cover change in Kazakhstan," Remote Sens. Environ., vol. 89, no. 4, pp. 497- 509, Feb. 2004. (Pubitemid 38215274)
5. E. Ivits, M. Cherlet, G. Tóth, S. Sommer,W. Mehl, J. Vogt, and F. Micale, "Combining satellite derived phenology with climate data for climate change impact assessment," Global Planetary Change, vol. 88/89, pp. 85- 97, May 2012.
6. F. Tao, M. Yokozawa, M. Yokozawa, Y. Hayashi, and Y. Ishigooka, "Land surface phenology dynamics and climate variations in the North East China Transect (NECT), 1982-2000," Int. J. Remote Sens., vol. 29, no. 19, pp. 5461-5478, 2008.
7. W. W. Hargrove, J. P. Spruce, G. E. Gasser, and F. M. Hoffman, "Toward a national early warning system for forest disturbances using remotely sensed canopy phenology," Photogramm. Eng. Remote Sens., vol. 75, pp. 1150-1156, 2009.
8. J. P. Spruce, S. Sader, R. E. Ryan, J. Smoot, P. Kuper, K. Ross, D. Prados, J. Russell, G. Gasser, R. McKellip, and W. Hargrove, "Assessment of MODIS NDVI time series data products for detecting forest defoliation by gypsy moth outbreaks," Remote Sens. Environ., vol. 115, no. 2, pp. 427- 437, Feb. 2011.
9. M. E. Brown and K. M. de Beurs, "Evaluation of multi-sensor semiarid crop season parameters based on NDVI and rainfall," Remote Sens. Environ., vol. 112, no. 5, pp. 2261-2271, May 2008.
10. S. R. Garrity, G. Bohrer, K. D. Maurer, K. L. Mueller, C. S. Vogel, and P. S. Curtis, "A comparison of multiple phenology data sources for estimating seasonal transitions in deciduous forest carbon exchange," Agric. Forest Meteorol., vol. 151, no. 12, pp. 1741-1752, 2011.
11. A. D. Richardson, R. S. Anderson, M. A. Arain, A. G. Barr, G. Bohrer, G. Chen, J. M. Chen, P. Ciais, K. J. Davis, A. R. Desai, M. C. Dietze, D. Dragoni, S. R. Garrity, C. M. Gough, R. Grant, D. Y. Hollinger, H. A. Margolis, H. McCaughey, M. Migliavacca, R. K. Monson, J. W. Munger, B. Poulter, B. M. Raczka, D. M. Ricciuto, A. K. Sahoo, K. Schaefer, H. Tian, R. Vargas, H. Verbeeck, J. Xiao, and Y. Xue, "Terrestrial biosphere models need better representation of vegetation phenology: Results from the North American Carbon Program Site Synthesis," Global Change Biol., vol. 18, no. 2, pp. 566-584, Feb. 2012.
12. X. Zhang, M. Friedl, and C. Schaaf, "Sensitivity of vegetation phenology detection to the temporal resolution of satellite data," Int. J. Remote Sens., vol. 30, no. 8, pp. 2061-2074, 2009.
13. M. A. Friedl et al., "MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets," Remote Sensing of Environment, vol. 114, no. 1, pp. 168-182, Jan. 2010.
14. J. Campbell, Introduction to Remote Sensing. New York, NY, USA: The Guilford Press, 2006.
15. A. Kross, R. Fernandes, J. Seaquist, and E. Beaubien, "The effect of the temporal resolution of NDVI data on season onset dates and trends across Canadian broadleaf forests," Remote Sens. Environ., vol. 115, no. 6, pp. 1564-1575, Jun. 2011.
16. M. D. Schwartz and B. C. Reed, "Surface phenology and satellite sensorderived onset of greenness: An initial comparison," International Journal of Remote Sensing, vol. 20, no. 17, pp. 3451-3457, 1999. (Pubitemid 30024968)
17. J. Morisette, J. Privette, and C. Justice, "A framework for the validation of MODIS land products," Remote Sens. Environ., vol. 83, no. 1/2, pp. 77- 96, Nov. 2002. (Pubitemid 35307462)
18. M. D. Schwartz and J. Hanes, "Intercomparing multiple measures of the onset of spring in eastern North America," Int. J. Climatol., vol. 30, no. 11, pp. 1614-1626, Sep. 2010.
19. L. Liang, M. D. Schwartz, and S. Fei, "Validating satellite phenology through intensive ground observation and landscape scaling in a mixed seasonal forest," Remote Sens. Environ., vol. 115, no. 1, pp. 143-157, Jan. 2011.
20. S. N. Goward, C. J. Tucker, and D. G. Dye, "North American vegetation patterns observed with the NOAA-7 Advanced Very High Resolution Radiometer," Vegetatio, vol. 64, no. 1, pp. 3-14, Dec. 1985. (Pubitemid 17245708)
21. C. O. Justice, E. Vermote, J. R. G. Townshend, R. DeFries, D. P. Roy, D. K. Hall,V.V. Salomonson, J. L. Privette, G. Riggs,A. Strahler,W. Lucht, R. B. Myneni, Y. Knyazikhin, S. W. Running, R. R. Nemani, Z. Wan, A. R. Huete,W.Van Leeuwen, R. E.Wolfe, L. Giglio, J.-P. Muller, P. Lewis, and M. J. Barnsley, "The Moderate Resolution Imaging Spectroradiometer (MODIS): Land remote sensing for global change research," IEEE Trans. Geosci. Remote Sens., vol. 36, no. 4, pp. 1228-1249, Jul. 1998. (Pubitemid 128748531)
22. A. Huete, K. Didan, T. Miura, E. P Rodriguez, X. Gao, and L. G Ferreira, "Overview of the radiometric and biophysical performance of theMODIS vegetation indices," Remote Sens. Environ., vol. 83, no. 1/2, pp. 195-213, Nov. 2002. (Pubitemid 35307469)
23. B. C. Reed, J.F. Brown, D. VanderZee, Thomas R. Loveland, W. James, and O. Donald, "Measuring phenological variability from satellite imagery," J. Vegetation Sci., vol. 5, no. 5, pp. 703-714, Nov. 1994.
24. X. Zhang, M. A. Friedl, C. B. Schaaf, A. H. Strahler, J. C. F. Hodges, F. Gao, B. C. Reed, and A. Huete, "Monitoring vegetation phenology using MODIS," Remote Sens. Environ., vol. 84, no. 3, pp. 471-475, Mar. 2003. (Pubitemid 36290250)
25. X. Zhang, M. A. Friedl, and C. B. Schaaf, "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, no. G4, p. G04017, Dec. 2006.
26. Y. Shuai, C. Schaaf, X. Y. Zhang, A. Strahler, D. Roy, J. Morisette, Z. S. Wang, J. Nightingale, J. Nickeson, A. D. Richardson, D. H. Xie, J. D. Wang, X. W. Li, K. Strabala, and J. E. Davies, "Daily MODIS 500 m reflectance anisotropy direct broadcast (DB) products for monitoring vegetation phenology dynamics," Int. J. Remote Sens., vol. 34, no. 16, pp. 5997-6016, 2013.
27. W. Xiao, Z. Sun, Q. Wang, and Y. Yang, "Evaluating MODIS phenology product for rotating croplands through ground observations," J. Appl. Remote Sens., vol. 7, no. 1, pp. 073562-073562, 2013.
28. M. D. Schwartz, J. L. Betancourt, and J. F. Weltzin, "From Caprio's lilacs to the USA National Phenology Network," Frontiers Ecol. Environ., vol. 10, no. 6, pp. 324-327, Aug. 2012.
29. J. I. Fisher, J. F.Mustard, andM. A. Vadeboncoeur, "Green leaf phenology at Landsat resolution: Scaling from the field to the satellite," Remote Sens. Environ., vol. 100, no. 2, pp. 265-279, Jan. 2006. (Pubitemid 43083573)
30. J. I. Fisher and J. F. Mustard, "Cross-scalar satellite phenology from ground, Landsat, and MODIS data," Remote Sens. Environ., vol. 109, no. 3, pp. 261-273, Aug. 2007. (Pubitemid 46929112)
31. L. Liang and M. D. Schwartz, "Landscape phenology: An integrative approach to seasonal vegetation dynamics," Landscape Ecol., vol. 24, no. 4, pp. 465-472, Apr. 2009.
32. M. D. Schwartz, J. M. Hanes, and L. Liang, "Comparing carbon flux and high-resolution spring phenological measurements in a northern mixed forest," Agric. Forest Meteorol., vol. 169, pp. 136-147, Feb. 2013.
33. E. A. Graham, E. C. Riordan, E. M. Yuen, D. Estrin, and P. W. Rundel, "Public Internet-connected cameras used as a cross-continental groundbased plant phenology monitoring system," Global Change Biol., vol. 16, no. 11, pp. 3014-3023, Nov. 2010.
34. K. Hufkens, M. Friedl, O. Sonnentag, B. H. Braswell, T. Milliman, and A. D. Richardson, "Linking near-surface and satellite remote sensing measurements of deciduous broadleaf forest phenology," Remote Sens. Environ., vol. 117, pp. 307-321, 2012.
35. C. B. Schaaf, F. Gao, A. H. Strahler, W. Lucht, X. Li, T. Tsang, N. C Strugnell, X. Zhang, Y. Jin, J.-P. Muller, P. Lewis, M. Barnsley, P. Hobson, M. Disney, G. Roberts, M. Dunderdale, C. Doll, R. P. d'Entremont, B. Hu, S. Liang, J. L Privette, and D. Roy, "First operational BRDF, albedo nadir reflectance products from MODIS," Remote Sens. Environ., vol. 83, no. 1/2, pp. 135-148, Nov. 2002. (Pubitemid 35307465)
36. C. B. Schaaf, J. Liu, F. Gao, and A. H. Strahler, "MODIS albedo and reflectance anisotropy products from Aqua and Terra," in Land Remote Sensing and Global Environmental Change: NASA's Earth Observing System and the Science of ASTER and MODIS, Remote Sensing and Digital Image Processing Series, B. Ramachandran, C. O. Justice, and M. J. Abrams, Eds. New York, NY, USA: Springer-Verlag, 2011, pp. 549-561.
37. Y. Shuai, "Tracking daily land surface albedo and reflectance anisotropy with MODerate-Resolution Imaging Spectroradiometer (MODIS)," Ph.D. dissertation, Boston University, Boston, MA, USA, 2010.
38. Z. Wang, C. B. Schaaf, M. J. Chopping, A. H. Strahler, J. Wang, M. O. Román, A. V. Rocha, C. E. Woodcock, and Y. Shuai, "Evaluation of Moderate-resolution Imaging Spectroradiometer (MODIS) snow albedo product (MCD43A) over tundra," Remote Sens. Environ., vol. 117, pp. 264-280, 2012.
39. T. Hwang, C. Song, P. V. Bolstad, and L.E. Band, "Downscaling real-time vegetation dynamics by fusing multi-temporal MODIS and Landsat NDVI in topographically complex terrain," Remote Sens. Environ., vol. 115, no. 10, pp. 2499-2512, Oct. 2011.
40. F. Gao, J. G. Masek, R. E. Wolfe, and C. Huang, "Building a consistent medium resolution satellite data set using Moderate Resolution Imaging Spectroradiometer products as reference," J. Appl. Remote Sens., vol. 4, no. 1, pp. 043526-1-043526-22, 2010.
41. F. Gao, J. Masek, M. Schwaller, and F. Hall, "On the blending of the Landsat and MODIS surface reflectance: Predicting daily Landsat surface reflectance," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 8, pp. 2207- 2218, Aug. 2006. (Pubitemid 44192160)
42. J. C. Ju, D. P. Roy, Y. M. Shuai, and C. Schaaf, "Development of an approach for generation of temporally complete daily nadir MODIS reflectance time series," Remote Sens. Environ., vol. 114, pp. 1-20, Jan. 2010.
43. T. Hilker, M. A. Wulder, N. C. Coops, N. Seitz, J. C. White, F. Gao, J. G. Masek, and G. Stenhouse, "Generation of dense time series synthetic Landsat data through data blending with MODIS using a spatial and temporal adaptive reflectance fusion model," Remote Sens. Environ., vol. 113, no. 9, pp. 1988-1999, Sep. 2009.
44. J. J. Walker, K. M. de Beurs, R.H. Wynnea, and F. Gao, "Evaluation of Landsat and MODIS data fusion products for analysis of dryland forest phenology," Remote Sens. Environ., vol. 117, pp. 381-393, Feb. 2012.
45. S. Bhandari, S. Phinn, and T. Gill, "Preparing Landsat image time series (LITS) for monitoring changes in vegetation phenology in Queensland, Australia," Remote Sens., vol. 4, no. 6, pp. 1856-1886, 2012.
46. N. C. Coops, T. Hilker, C. W. Bater, M. A. Wulder, S. E. Nielsen, G. McDermid, and G. Stenhouse, "Linking ground-based to satellitederived phenological metrics in support of habitat assessment," Remote Sens. Lett., vol. 3, no. 3, pp. 191-200, 2012.
47. S. Burrows, S. T. Gower, M. K. Clayton, D. S. Mackay, D. E. Ahl, J. M. Norman, and G. Diak, "Application of geostatistics to characterize leaf area index (LAI) from flux tower to landscape scales using a cyclic sampling design," Ecosystems, vol. 5, no. 7, pp. 667-679, Nov. 2002. (Pubitemid 36003292)
48. S. Ganguly, M. A. Friedl, B. Tan, X. Zhang, and M. Verma, "Land surface phenology from MODIS: Characterization of the Collection 5 global land cover dynamics product," Remote Sens. Environ., vol. 114, no. 8, pp. 1805-1816, Aug. 2010.
49. X. L. Zhu, J. Chen, F. Gao, X. Chen, and J. G. Masek, "An enhanced spatial and temporal adaptive reflectance fusion model for complex heterogeneous regions," Remote Sensi. Environ., vol. 114, no. 11, pp. 2610- 2623, Nov. 2010.
50. T. Hilker, M. A. Wulder, N. C. Coops, J. Linke, G. McDermid, J. G. Masek, F. Gao, and J. C. White, "A new data fusion model for high spatial-and temporal-resolution mapping of forest disturbance based on Landsat and MODIS," Remote Sens. Environ., vol. 113, no. 8, pp. 1613- 1627, Aug. 2009.
51. B. Huang and H. Song, "Spatiotemporal reflectance fusion via sparse representation," IEEE Trans. Geosci. Remote Sens., vol. 50, pp. 3707- 3716, Oct. 2012.
52. J. G. Masek, E. F. Vermote, N. E. Saleous, R. Wolfe, F. G. Hall, K. F. Huemmrich, F. Gao, J. Kutler, and T.-K. Lim, "A Landsat surface reflectance dataset for North America, 1990-2000," IEEE Geosci. Remote Sens. Lett., vol. 3, no. 1, pp. 68-72, Jan. 2006. (Pubitemid 43131899)
53. P. Wang, F. Gao, and J. Masek, "Operational data fusion framework for building frequent Landsat-like images," IEEE Trans. Geosci. Remote Sens., vol. 52, no. 11, pp. 7353-7365, Nov. 2014.
54. C. Cammalleri, M. C. Anderson, F. Gao, C. R. Hain, and P. Kustas, "A data fusion approach for mapping daily evapotranspiration at field scale," Water Resour. Res., vol. 49, no. 8, pp. 4672-4686, 2013.
55. J. C. Seong, K. A. Mulcahy, and E. L. Usery, "The sinusoidal projection: A new importance in relation to global image data," Prof. Geograph., vol. 54, no. 2, pp. 218-225, May 2002. (Pubitemid 34573176)
56. R. R. Sokal and F. J. Rohlf, Biometry: The Principles and Practice of Statistics in Biological Research, 4th ed. New York, NY, USA: Freeman, 2012.
57. X. Zhang, M. A. Friedl, C. B. Schaaf, A. H. Strahler, and Z. Liu, "Monitoring the response of vegetation phenology to precipitation in Africa by coupling MODIS and TRMM instruments," J. Geophys. Res.: Atmosph., vol. 110, no. D12, p. D12103, Jun. 2005.
58. B. Tan, C. E. Woodcock, J. Hu, P. Zhang, M. Ozdogan, D. Huang, W. Yang, Y. Knyazikhin, and R. B. Myneni, "The impact of gridding artifacts on the local spatial properties of MODIS data: Implications for validation, compositing, and band-to-band registration across resolutions," Remote Sens. Environ., vol. 105, no. 2, pp. 98-114, Nov. 2006. (Pubitemid 44637226)
59. D. E. Ahl, S. T. Gower, S. N. Burrows, N. V. Shabanov, R. B. Myneni, and Y. Knyazikhin, "Monitoring spring canopy phenology of a deciduous broadleaf forest using MODIS," Remote Sens. Environ., vol. 104, no. 1, pp. 88-95, 2006. (Pubitemid 44262341)
60. T. K. Maiersperger, P. L. Scaramuzza, L. Leigh, S. Shrestha, K. P. Gallo, C. B. Jenkerson, and J. L. Dwyer, "Characterizing LEDAPS surface reflectance products by comparisons with AERONET, field spectrometer, and MODIS data," Remote Sens. Environ., vol. 136, pp. 1-13, Sep. 2013.
61. R. Irish, J. L. Barker, S. N. Goward, and T. Arvidson, "Characterization of the Landsat-7 ETM+ Automated Cloud-Cover Assessment (ACCA) algorithm," Photogramm. Eng. Remote Sens., vol. 72, no. 10, pp. 1179- 1188, Oct. 2006. (Pubitemid 44568841)
62. L. Oreopoulos, M. Wilson, and T. Várnai, "Implementation on Landsat data of a simple cloud mask algorithm developed for MODIS land bands," IEEE Trans. Geosci. Remote Sens., vol. 8, no. 4, pp. 597-601, Jul. 2011.
63. E. Vermote, Landsat Science Team Meeting, Mountain View, CA, USA, Jan. 2010. [Online]. Available: http://landsat.usgs.gov/science- january2010MeetingAgenda.php
64. Z. Zhu and C. E. Woodcock, "Object-based cloud and cloud shadow detection in Landsat imagery," Remote Sens. Environ., vol. 118, pp. 83-94, Mar. 2012.
65. Landsat data continuity mission (LDCM) Level 1 (L1) data format control book (DFCB), USGS, [April 8, 2013], Aug. 2012. [Online]. Available: http://landsat.usgs.gov/documents/LDCM-DFCB-004.pdf
66. A. D. Richardson, J. P. Jenkins, B. H. Braswell, D. Y. Hollinger, S. V. Ollinger, and M.-L. Smith, "Use of digital webcam images to track spring green-up in a deciduous broadleaf forest," Oecologia, vol. 152, no. 2, pp. 323-334, May 2007. (Pubitemid 46714343)
67. A. D. Richardson, B. H. Braswell, D. Y. Hollinger, J. P. Jenkins, and S. V. Ollinger, "Near-surface remote sensing of spatial and temporal variation in canopy phenology," Ecol. Appl., vol. 19, no. 6, pp. 1417- 1428, Sep. 2009.
68. O. Sonnentag, K. Hufkens, C. Teshera-Sterne, A. M. Young, M. Friedl, B. H. Braswell, T. Milliman, and A. D. J.O'Keefe, "Digital repeat photography for phenological research in forest ecosystems," Agric. Forest Meteorol., vol. 152, pp. 159-177, Jan. 2012.
69. A. D. Richardson, R. S. Anderson, M. A. Arain, A. G. Barr, G. Bohrer, G. Chen, J. M. Chen, P. Ciais, K. J. Davis, A. R. Desai, M. C. Dietze, D. Dragoni, S. R. Garrity, C. M. Gough, R. Grant, D. Y. Hollinger, H. A. Margolis, H. McCaughey, M. Migliavacca, R. K. Monson, J. W. Munger, B. Poulter, B. M. Raczka, D. M. Ricciuto, A. K. Sahoo, K. Schaefer, H. Tian, R. Vargas, H. Verbeeck, J. Xiao, and Y. Xue, "Terrestrial biosphere models need better representation of vegetation phenology: Results from the North American Carbon Program Site Synthesis," Global Change Biol., vol. 18, no. 2, pp. 566-584, Feb. 2012.
70. J. Dash and P. Curran, "The MERIS terrestrial chlorophyll index," Int. J. Remote Sens., vol. 25, no. 23, pp. 5403-5413, 2004. (Pubitemid 40008579)
71. S. Y. Kang, S. W. Running, J.-H. Lim, M. Zhao, C.-R. Park, and R. Loehman, "A regional phenology model for detecting onset of greenness in temperate mixed forests, Korea: An application of MODIS leaf area index," Remote Sens. Environ., vol. 86, no. 2, pp. 232-242, Jul. 2003. (Pubitemid 37143217)
72. D. Turner, W. D. Ritts, M. Zhao, S. A. Kurc, A. L. Dunn, S. C. Wofsy, E. E. Small, and S. W. Running, "Assessing interannual variation in MODIS-based estimates of gross primary production," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 7, pp. 1899-1907, Jul. 2006. (Pubitemid 44109510)
73. M. White, K. M. De Beurs, K. Didan, D. W. Inouye, A. D. Richardson, O. P. Jensen, J. O'Keefe, G. Zhang, R. R. Neman, W. J. D. Van Leeuwen, J. F. Brown, A. De Wit, M. Schaepman, X. Lin, M. Dettinger, A. S. Bailey, J. Kimball, M. D. Schwartz, D. D. Baldocchi, J. T. Lee, and W. K. Lauenroth, " Intercomparison, interpretation, and assessment of spring phenology in North America estimated from remote sensing for 1982-2006," Global Change Biol., vol. 15, no. 10, pp. 2335-2359, Oct. 2009.