Daily MODIS 500 m reflectance anisotropy direct broadcast (DB) products for monitoring vegetation phenology dynamics

International Journal of Remote Sensing

Volumn 34, Issue 16, 2013, Pages 5997-6016

  Shuai, Yanmin ^a   Schaaf, Crystal ^b   Zhang, Xiaoyang ^c,d   Strahler, Alan ^e   Roy, David ^f   Morisette, Jeffrey ^g   Wang, Zhuosen ^b   Nightingale, Joanne ^a   Nickeson, Jaime ^a   Richardson, Andrew D ^h   Xie, Donghui ^i,j   Wang, Jindi ^i,j   Li, Xiaowen ^i,j   Strabala, Kathleen ^k   Davies, James E ^k  

^a NASA GODDARD SPACE FLIGHT CENTER   (United States)

^b UNIVERSITY OF MASSACHUSETTS BOSTON   (United States)

^c UNIVERSITY OF MARYLAND   (United States)

^d NOAA EARTH SYSTEM RESEARCH LABORATORY   (United States)

^e BOSTON UNIVERSITY   (United States)

^f SOUTH DAKOTA STATE UNIVERSITY   (United States)

^g U S GEOLOGICAL SURVEY   (United States)

^h HARVARD UNIVERSITY   (United States)

ⁱ INSTITUTE OF REMOTE SENSING APPLICATIONS   (China)

^j BEIJING NORMAL UNIVERSITY   (China)

^k UNIVERSITY OF WISCONSIN MADISON   (United States)

more..

Author keywords

[No Author keywords available]

Indexed keywords

ANISOTROPY; CLIMATE CHANGE; CROPS; DISTRIBUTION FUNCTIONS; ORCHARDS; RADIOMETERS; REFLECTION; REMOTE SENSING; SURFACE MEASUREMENT; VEGETATION;

BRDF (BIDIRECTIONAL REFLECTANCE DISTRIBUTION FUNCTION); INTERANNUAL VARIABILITY; NATURAL VEGETATION; PHENOLOGICAL TRENDS; PRIMARY OBJECTIVE; SPATIOTEMPORAL DISTRIBUTIONS; VEGETATION PHENOLOGY; WINTER WHEAT FIELD;

FORESTRY;

DECIDUOUS FOREST; MODIS; PHENOLOGY; REMOTE SENSING; SPECTRAL REFLECTANCE; VEGETATION DYNAMICS; VEGETATION INDEX; WHEAT;

CALIFORNIA; CHINA; NEW HAMPSHIRE; UNITED STATES;

PRUNUS DULCIS; TRITICUM AESTIVUM;

EID: 84879040139     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2013.803169     Document Type: Article

References (70)

1. Badhwar, G. D. 1984. Use of LANDSAT-Derived Profile Features for Spring Small-Grains Classification. International Journal of Remote Sensing, 5: 783 - 797.
2. Box, J. E., Bromwich, D. H., Veenhuis, B. A., Bai, L. S., Stroeve, J. C., Rogers, J. C., Steffen, K., Haran, T. and Wang, S.-H. 2006. Greenland Ice Sheet Surface Mass Balance Variability (1988-2004) from Calibrated Polar MM5 Output. Journal of Climate, 19: 2783 - 2800.
3. Busetto, L., Colombo, R., Migliavacca, M., Cremonese, E., Meroni, M., Galvagno, M., Rossini, M., Siniscalco, C., Morra, U., Cella, Di and Pari, E. 2010. Remote Sensing of Larch Phenological Cycle and Analysis of Relationships with Climate in the Alpine Region. Global Change Biology 16: 2504-2517, doi: 10.1111/j.1365-2486.2010.02189.x
4. Cannell, M. G. R. and Smith, R. I. 1983. Thermal Time, Chill Days, and Prediction of Budburst in Picea Sitchensis. Journal of Applied Ecology, 20: 951 - 963.
5. Cleland, E. E., Chuine, I., Menzel, A., Nooney, H. A. and Schwartz, M. D. 2007. Shifting Plant Phenology in Response to Global Change. Trends in Ecology and Evolution, 22: 357 - 365.
6. Cook, G. D. and Heerdegen, R. G. 2001. Spatial Variation in the Duration of the Rainy Season in Monsoonal Australia. International Journal of Climatology, 21: 1723 - 1732.
7. de Beurs, K. M. and Henebry, G. M. 2008. Northern Annular Mode Effects on the Land Surface Phenologies of Northern Eurasia. Journal of Climate, 21: 4257 - 4279.
8. de Beurs, K. M. and Henebry, G. M. 2010. " Spatio-Temporal Statistical Methods for Modeling Land Surface Phenology ". In Phenological Research, Chapter 9: Methods for Environmental and Climate Change Analysis, edited by, Edited by: Hudson, I. L. and Keatley, M. R. 177 - 208. Dordrecht: Springer.
9. Ganguly, S., Friedl, M., Tan, B., Zhang, X. and Verma, M. 2010. Land Surface Phenology from MODIS: Characterization of the Collection 5 Global Land Cover Dynamics Product. Remote Sensing of Environment, 114: 1805 - 1816. doi: 10.1016/j.rse.2010.04.005
10. Heidinger, A., Cao, C. and Sullivan, J. 2002. Using Moderate Resolution Imaging Spectrometer (MODIS) to Calibrate Advanced Very High Resolution Radiometer Reflectance Channels. Journal of Geophysical Research, 107 (D23) AAC 11-1-AAC 11-10 doi: 10.1029/2001JD002035
11. Huete, A., Didan, K., Miura, T., Rodriguez, E. P., Gao, X. and Ferreira, L. G. 2002. Overview of the Radiometric and Biophysical Performance of the MODIS Vegetation Indices. Remote Sensing of Environment, 83: 195 - 213.
12. Hufkens, K., Friedl, M., Sonnentag, O., Braswell, B. H., Milliman, T. and Richardson, A. D. 2012. Linking Near-Surface and Satellite Remote Sensing Measurements of Deciduous Broadleaf Forest Phenology. Remote Sensing of Environment, 117: 307 - 321. doi: 10.1016/j.rse.2011.10.006
13. Jenkins, J. P., Richardson, A. D., Braswell, B. H., Ollinger, S. V., Hollinger, D. Y. and Smith, M.-L. 2007. Refining Light-Use Efficiency Calculations for a Deciduous Forest Canopy Using Simultaneous Tower-Based Carbon Flux and Radiometric Measurements. Agricultural and Forest Meteorology, 143: 64 - 79.
14. Jolly, W. M., Nemani, R. and Running, S. W. 2005. A Generalized, Bioclimatic Index to Predict Foliar Phenology in Response to Climate. Global Change Biology, 11: 619 - 632.
15. Jonsson, P. and Eklundh, L. 2004. TIMESAT-A Program for Analyzing Time-Series of Satellite Sensor Data. Computers & Geosciences, 30: 833 - 845.
16. Ju, J., Roy, D. P., Shuai, Y. and Schaaf, C. 2010. Development of an Approach for Generation of Temporally Complete Daily Nadir MODIS Reflectance Time Series. Remote Sensing of Environment, 114: 1 - 20.
17. Justice, C., Vermote, E., Townshend, J. R. G., Defries, R., Roy, D. P., Hall, D. K., Salomonson, V. V., Privette, J. L., Riggs, G., Strahler, A., Lucht, W., Myneni, R. B., Knyazikhin, Y., Running, S. W., Nemani, R. R., Wan, Z. M., Huete, A. R., van Leeuwen, W., Wolfe, R. E., Giglio, L., Muller, J. P., Lewis, P. and Barnsley, M. J. 1998. The Moderate Resolution Imaging Spectroradiometer (MODIS): Land Remote Sensing for Global Change Research. IEEE Transactions on Geoscience and Remote Sensing, 36: 1228 - 1249.
18. Justiniano, M. J. and Fredericksen, T. S. 2000. Phenology of Tree Species in Bolivian Dry Season. Biotropica, 32: 1228 - 1249.
19. Kramer, K., Leinomen, I. and Loustau, D. 2000. The Importance of Phenology for the Evaluation of Impact of Climate Change on Growth of Boreal, Temperate and Mediterranean Forest Ecosystems: An Overview. International Journal of Biometeorology, 44: 67 - 75.
20. Kross, A., Fernandes, R., Seaquist, J. and Beaubien, E. 2011. The Effect of the Temporal Resolution of NDVI Data on Season Onset Dates and Trends across Canadian Broadleaf Forests. Remote Sensing of Environment, 115: 1564 - 1575.
21. Leroy, M. and Hautecoeur, O. 1999. Anisotropy-Corrected Vegetation Indexes Derived from POLDER/ADEOS. IEEE Transaction on Geoscience and Remote Sensing, 37: 1698 - 1708.
22. Li, X. and Strahler, A. H. 1992. Geometric-Optical Bidirectional Reflectance Modeling of the Discrete Crown Vegetation Canopy: Effect of Crown Shape and Mutual Shadowing. IEEE Transaction on Geoscience and Remote Sensing, 30: 276 - 292.
23. Liang, L. and Schwartz, M. D. 2009. Landscape Phenology: An Integrative Approach to Seasonal Vegetation Dynamics. Landscape Ecology, 24: 465 - 472. doi: 10.1007/s10980-009-9328-x
24. Liang, L., Schwartz, M. D. and Fei, S. 2012. Photographic Assessment of Temperate Forest Understory Phenology in Relation to Springtime Meteorological Drivers. International Journal of Biometeorology, 56: 343 - 355. doi: 10.1007/s00484-011-0438-1
25. Lobell, D. B. and Field, C. B. 2007. Global Scale Climate-Crop Yield Relationships and the Impacts of Recent Warming. Environmental Research Letters 2: 014002, doi: 10.1088/1748-9326/2/1/014002
26. Lucht, W. and Lewis, P. 2000. Theorectical Noise Sensitivity of BRDF and Albedo Retrieval from the EOS-MODIS and MISR Sensors with Respect to Angular Sampling. International Journal of Remote Sensing, 21: 81 - 98.
27. Lucht, W., Schaaf, C. B. and Strahler, A. H. 2000. An Algorithm for the Retrieval of Albedo from Space Using Semiempirical BRDF Models. IEEE Transaction on Geoscience and Remote Sensing, 38: 977 - 998.
28. McKellip, R., Ryan, R. E., Blonski, S. and Prados, D. 2005. Crop Surveillance Demonstration Using a Near-Daily MODIS Derived Vegetation Index Time Series. 2005 International Workshop on the Analysis of Multi-temporal Remote Sensing Images,: 54 - 58. Biloxi, MI: IEEE.
29. Moody, A. and Strahler, A. H. 1994. Characteristics of Composite AVHRR Data and Problems in their Classification. International Journal of Remote Sensing, 15: 3473 - 3491.
30. Morisette, J. T., Richardson, A. D., Knapp, A. K., Fisher, J. I., Graham, E. A., Abatzoglou, J., Wilson, B. E., Breshears, D. D., Henebry, G. M., Hanes, J. M. and Liang, L. 2009. Tracking the Rhythm of the Seasons in the Face of Global Change: Phenological Research in the 21st Century. Frontiers in Ecology and the Environment 7: 253-260, doi: 10.1890/070217
31. Myneni, R. B., Hall, F. G., Sellers, P. J. and Marshak, A. L. 1995. The Interpretation of Spectral Vegetation Indexes. IEEE Transactions on Geoscience and Remote Sensing, 33: 481 - 486.
32. Myneni, R. B., Keeling, C. D., Tucker, C. J., Asrar, G. and Nemani, R. R. 1997. Increased Plant Growth in the Northern High Latitudes from 1981-1991. Nature, 386: 698 - 702.
33. Narasimhan, R. and Stow, D. 2010. Daily MODIS Products for Analyzing Early Season Vegetation Dynamics across the North Slope of Alaska. Remote sensing of Environment, 114: 1251 - 1262.
34. Omotosho, J. B. 1992. Long-Range Prediction of the Onset and End of the Rainy Season in the West African Sahel. International Journal of Climatology, 12: 369 - 382.
35. Osborne, T. M., Lawrence, D. M., Challinor, A. J., Slingo, J. M. and Wheeler, T. R. 2007. Development and Assessment of a Coupled Crop-Climate Model. Global Change Biology, 13: 169 - 183. doi: 10.1111/j.1365-2486.2006.01274.x
36. Parmesan, C. and Yohe, G. 2003. A Globally Coherent Fingerprint of Climate Change Impacts across Natural Systems. Nature, 421: 37 - 42.
37. Reed, B., Brown, J. F., Vanderzee, D., Loveland, T. R., Merchant, J. W. and Ohlen, D. O. 1994. Measuring Phenological Variability from Satellite Imagery. Journal of Vegetation Science, 5: 703 - 714.
38. Richardson, A. D., Anderson, R. S. and Arain, M. A. 2012. Terrestrial Biosphere Models Need Better Representation of Vegetation Phenology: Results from the North American Carbon Program Site Synthesis. Global Change Biology, 18: 566 - 584. 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 doi: 10.1111/j.1365-2486.2011.02562.x
39. Richardson, A. D., Braswell, B. H., Hollinger, D. Y., Jenkins, J. P. and Ollinger, S. V. 2009. Near-Surface Remote Sensing of Spatial and Temporal Variation in Canopy Phenology. Ecological Applications, 19: 1417 - 1428.
40. Richardson, A. D., Hollinger, D. Y., Dail, D. B., Lee, J. T., Munger, J. W. and O'Keefe, J. 2009. Influence of Spring Phenology on Seasonal and Annual Carbon Balance in Two Contrasting New England Forests. Tree Physiology, 29: 321 - 331. doi: 10.1093/treephys/tpn040
41. Richardson, A. D., Jenkins, J. P., Braswell, B. H., Hollinger, D. Y., Ollinger, S. V. and Smith, M.-L. 2007. Use of Digital Webcam Images to Track Spring Green-Up in a Deciduous Broadleaf Forest. Ecosystem Ecology, 152: 323 - 334.
42. Richardson, A. D. 2010. Influence of Spring and Autumn Phenological Transitions on Forest Ecosystem Productivity. Philosophical Transactions of the Royal Society, 365: 3227 - 3246. T. A. Black, P. Ciais, N. Delbart, M. A. Friedl, N. Gobron, D. Y. Hollinger, W. L. Kutsch, B. Longdoz, S. Luyssaert, M. Migliavacca, L. Montagnani, J. W. Munger, E. Moors, S. Piao, C. Rebmann, M. Reichstein, N. Saigusa, E. Tomelleri, R. Vargas, and A. Varlagin doi: 10.1098/rstb.2010.0102
43. Ross, J. K. 1981. The Radiation Regime and Architecture of Plant Stands, edited by, Edited by: Junk, W. 392 Norwell, MA: Artech House.
44. Rötzer, T, Grote, R. and Pretzsch, H. 2004. The Timing of Bud Burst and Its Effect on Tree Growth. International Journal of Biometeorology, 48: 109 - 118.
45. Roujean, J.-L., Leroy, M. and Deschamps, P. Y. 1992. A Bi-Directional Reflectance Model of the Earth's Surface for the Correction of Remote Sensing Data. Journal of geophysical Research, D-97: 20455 - 20468.
46. Roy, D. P., Lewis, P., Schaaf, C., Devadiga, S. and Boschetti, L. 2006. The Global Impact of Cloud on the Production of MODIS Bi-Directional Reflectance Model Based Composites for Terrestrial Monitoring. IEEE Geoscience and Remote Sensing Letters, 3: 452 - 456.
47. Schaaf, C. B., Gao, F., Strahler, A. H., Lucht, W., Li, X., Tsang, T., Strugnell, N. C., Zhang, X., Jin, Y., Muller, J.-P., Lewis, P., Barnsley, M., Hobson, P., Disney, M., Roberts, G., Dunderdale, M., Doll, C., d'Entremont, R., Hu, B., Liang, S., Privette, J. L. and Roy, D. P. 2002. First Operational BRDF, Albedo and Nadir Reflectance Products from MODIS. Remote Sensing of Environment, 83: 135 - 148.
48. Schaaf, C. L. B., Liu, J., Gao, F. and Strahler, A. H. 2011. " MODIS Albedo and Reflectance Anisotropy Products from Aqua and Terra ". In Land Remote Sensing and Global Environmental Change: NASA's Earch Observing System and the Science of ASTER and MODIS, Edited by: Ramachandran, B., Justice, C. and Abrams, M. Vol. 11, edited by, 873 Berlin: Springer-Verlag. Remote Sensing and Digital Image Processing Series
49. Schwartz, M. D. 1998. Green-Wave Phenology. Nature, 394: 839 - 840.
50. Schwartz, M. D. 1990. Detecting the Onset of Spring: A Possible Application of Phenological Models. Climate Research, 1: 23 - 29.
51. Schwartz, M. D., Ahas, R. and Aasa, A. 2006. Onset of Spring Starting Earlier across the Northern Hemisphere. Global Change Biology, 12: 343 - 351.
52. Schwartz, M. D., Reed, B. C. and White, M. A. 2002. Assessing Satellite-Derived Start-Of-Season Measures in the Conterminous USA. International Journal of Climatology, 22: 1793 - 1805.
53. Shuai, Y. 2010. "Tracking Daily Land Surface Albedo and Reflectance Anisotropy with MODerate-Resolution Imaging Spectroradiometer (MODIS).", Diss. thesis, Department of Geography and Environment, Boston University.
54. Shuai, Y., Schaaf, C. B., Strahler, A. H., Liu, J. and Jiao, Z. 2008. Quality Assessment of BRDF/Albedo Retrievals in MODIS Operational System. Geophysical Research Letters, 35: L05407 doi: 10.1029/2007GL032568
55. Sonnentag, O., Hufkens, K., Teshera-Sterne, C., Young, A. M., Friedl, M., Braswell, B. H., Milliman, T., O'Keefe, J. and Richardson, A. D. 2012. Digital Repeat Photography for Phenological Research in Forest Ecosystems. Agricultural and Forest Meteorology, 152: 159 - 177. doi: 10.1016/j.agrformet.2011.09.009
56. Spano, D., Cesaraccio, C., Duce, P. and Zinder, R. L. 1999. Phenological Stages of Natural Species and Their Use as Climate Indicators. International Journal of Biometeorology, 42: 124 - 133.
57. Tan, B., Morisette, J. T., Wolfe, R. E., Gao, F., Ederer, G. A., Nightngale, J. and Pedelty, J. A. 2011. An Enhanced TIMESAT Algorithm for Estimating Vegetation Phenology Metrics from MODIS Data. IEEE Journal of Selected Topics in Applied Earthobservations and Remote Sensing, 4 (2): 361 - 371. doi: doi 10.1109/JSTARS. 2010.2075916
58. Wang, Z., Schaaf, C. B., Chopping, M. J., Strahler, A. H., Wang, J., Roman, M. O., Rocha, A. V., Woodcock, C. E. and Shuai, Y. 2012. Evaluation of Moderate-Resolution Imaging Spectroradiometer (MODIS) Snow Albedo Product (MCD43A) over Tundra. Remote Sensing of Environment, 117: 264 - 280.
59. White, M. A. 2009. Intercomparison, Interpretation, and Assessment of Spring Phenology in North America Estimated from Remote Sensing for 1982-2006. Global Change Biology, 15: 2335 - 2359. K. M. de Beurs, K. Didan, D. W. Inouye, A. D. Richardson, O. P. Jensen, J. O'Keefe, G. Zhang, R. R. Nemani, W. J. D. van LeeuWen, J. F. Brown, A. de Wit, M. Schaepman, X. Lin, M. Dettinger, A. S. Bailey, J. S. Kimball, M. D. Schwartz, D. D. Baldocchi, J. T. Lee, and W. K. Lauenroth doi: 10.1111/j.1365-2486.2009.01910.x
60. White, M. A. and Nemani, R. R. 2006. Real-Time Monitoring and Short-Term Forecasting of Land Surface Phenology. Remote Sensing of Environment, 104: 43 - 49.
61. White, M. A., Nemani, R. R., Thornton, P. E. and Running, S. W. 2002. Satellite Evidence of Phenological Differences Between Urbanized and Rural Areas of the Eastern United States Deciduous Broadleaf Forest. Ecosystems, 5: 260 - 277.
62. White, M. A., Running, S. W. and Thornton, P. E. 1999. The Impact of Growing-Season Length Variability on Carbon Assimilation and Evapo-Transpiration over 88 Years in the Eastern US Deciduous Forest. International Journal of Biometeorology, 42: 139 - 145.
63. White, M. A., Thornton, P. E. and Running, S. W. 1997. A Continental Phenology Model for Monitoring Vegetation Responses to Interannual Climatic Variability. Global Biogeochemical Cycles, 1: 217 - 234.
64. Wofle, R. E., Nishihama, M., Fleig, A. J., Kuyper, J. A., Roy, D. P., Storey, J. C. and Patt, F. S. 2002. Achieving Sub-Pixel Geolocation Accuracy in Support of MODIS Land Science. Remote Sensing of the Environment, 83: 31 - 49.
65. Zhang, X., Friedl, M. A. and Schaaf, C. B. 2006. Global Vegetation Phenology from Moderate Resolution Imaging Spectroradiometer (MODIS): Evaluation of Global Patterns and Comparison with In Situ Measurements. Journal of Geophysical Research, 111: G04017 doi: 10.1029/2006JG000217
66. Zhang, X., Friedl, M. A., Schaaf, C. B. and Strahler, A. H. 2004. Climate Controls on Vegetation Phenological Patterns in Northern Mid- and High Latitudes Inferred from MODIS Data. Global Change Biology, 10: 1133 - 1145.
67. Zhang, X., Friedl, M. A., Schaaf, C. B., Strahler, A. H., Hodges, J. C. F., Gao, F., Reed, B. C. and Huete, A. 2003. Monitoring Vegetation Phenology Using MODIS. Remote Sensing of Environment, 84: 471 - 475.
68. Zhang, X. and Goldberg, M. D. 2010. Monitoring Fall Foliage Coloration Dynamics Using Time-Series Satellite Data. Remote Sensing of Environment 115: 382-391, doi: 10.1016/j.rse.2010.09.009
69. Zhang, X., Goldberg, M., Tarpley, D., Friedl, M., Morisette, J., Logan, F. and Yu, Y. 2010. Drought-Induced Vegetation Stress in Southwestern North America. Environmental Research Letters, 5 (2): 024008 doi: 10.1088/1748-9326/5/2/024008
70. Zhang, X., Goldberg, M. D. and Yu, Y. 2012. Prototype for Monitoring and Forecasting Fall Foliage Coloration in Real Time from Satellite Data. Agricultural and Forest Meteorology, 158: 21 - 29. doi: 10.1016/j.agrformet.2012.01.013