References
- Alexandridis , T. K. , Gitas , I. Z. and Silleos , N. G. 2008 . An estimation of the optimum temporal resolution for monitoring vegetation condition on a nationwide scale using MODIS/Terra data . International Journal of Remote Sensing , 29 : 3589 – 3607 .
- Austin , M. 2007 . Species distribution models and ecological theory: a critical assessment and some possible new approaches . Ecological Modelling , 200 : 1 – 19 .
- Bartholome , E. and Belward , A. S. 2005 . GLC2000: a new approach to global land cover mapping from Earth observation data . International Journal of Remote Sensing , 26 : 1959 – 1977 .
- Bonan , G. B. , Levis , S. , Kergot , L. and Oleson , K. W. 2002 . Landscapes as patches of plant functional types: an integrating concept for climate and ecosystem models . Global Biogeochemical Cycles , 16 doi: 10.1029/2000GB001360
- Campbell, J.W., Blaisdell, J.M. and Darzi, M., 1995, Level-3 SeaWiFS data products: Spatial and temporal binning algorithms. NASA Technical Memo, 104566, 32, (Greenbelt, MD: NASA Goddard Space Flight Center).
- Castro-Esau , K. L. , Sanchez-Azofeifa , G. A. , Rivard , B. , Wright , S. J. and Quesada , M. 2006 . Variability in leaf optical properties of Mesoamerican trees and the potential for species classification . American Journal of Botany , 93 : 517 – 530 .
- Cihlar , J. , Chen , J. M. , Li , Z. , Huang , F. , Latifovic , R. and Dixon , R. 1998 . Can interannual land surface signal be discerned in composite AVHRR data? . Journal of Geophysical Research – Atmospheres , 103 : 23163 – 23172 .
- Curran , P. J. , Dash , J. , Lankester , T. and Hubbard , S. 2007 . Global composites of the MERIS Terrestrial Chlorophyll Index . International Journal of Remote Sensing , 28 : 3757 – 3758 .
- Dash , J. and Curran , P. J. 2004 . The MERIS terrestrial chlorophyll index . International Journal of Remote Sensing , 25 : 5403 – 5413 .
- Davidson , A. and Csillag , F. 2001 . The influence of vegetation index and spatial resolution on a two-date remote sensing-derived relation to C4 species coverage . Remote Sensing of Environment , 75 : 138 – 151 .
- Davidson , A. and Csillag , F. 2003 . A comparison of three approaches for predicting C4 species cover of northern mixed grass prairie . Remote Sensing of Environment , 86 : 70 – 82 .
- Foody , G. M. and Dash , J. 2007 . Discriminating and mapping the C3 and C4 composition of grasslands in the northern Great Plains, USA . Ecological Informatics , 2 : 89 – 93 .
- Foody , G. M. , Boyd , D. S. and Cutler , M. E.J. 2003 . Predictive relations of tropical forest biomass from Landsat TM data and their transferability between regions . Remote Sensing of Environment , 85 : 463 – 474 .
- Fotheringham , A. S. , Brunsdon , C. and Charlton , M. 2002 . Geographically Weighted Regression: The Analysis of Spatially Varying Relationships , Chichester : Wiley .
- Goodin , D. G. and Henebry , G. M. 1997 . A technique for monitoring ecological disturbance in tallgrass praire using seasonal NDVI trajectories and a discriminant function mixture model . Remote Sensing of Environment , 61 : 270 – 278 .
- Holben , B. N. 1986 . Characteristics of maximum-value composite images from temporal AVHRR data . International Journal of Remote Sensing , 7 : 1417 – 1434 .
- JRC, 2007, Global Land Cover-2000, Joint Research Centre, Ispra, Italy, 2004, Dataset http://www.gvm.sai.jrc.it/glc2000/defaultGLC2000.htm (Accessed: 22 August 2007 ).
- Kang , S. , Running , S. W. , Lim , J.-H. , Zhao , M. , Park , C.-R. and Loehman , R. 2003 . A regional phenology model for detecting onset of greenness in temperate mixed forests, Korea: an application of MODIS leaf area index . Remote Sensing of Environment , 86 : 232 – 242 .
- Murphy , B. P. and Bowman , D. M.J.S. 2007 . Seasonal water availability predicts the relative abundance of C3 and C4 grasses in Australia . Global Ecology and Biogeography , 16 : 160 – 169 .
- NOAA, 2004, Climate of 2003—Annual Review. http://www.ncdc.noaa.gov/oa/climate/research/2003/ann/drought-summary.html#natldrot (Accessed: 28 September 2009 ).
- Ricotta , C. , Reed , B. C. and Tieszen , L. T. 2003 . The role of C3 and C4 grasses to interannual variability in remotely sensed ecosystem performance over the US Great Plains . International Journal of Remote Sensing , 24 : 4421 – 4431 .
- Roy , D. P. , Lewis , P. , Schaaf , C. B. , Devadiga , S. and Boschetti , L. 2006 . The global impact of clouds on the production of MODIS bidirectional reflectance model-based composites for terrestrial monitoring . IEEE Geoscience and Remote Sensing Letters , 3 : 452 – 456 .
- Still , C. J. , Berry , J. A. , Collatz , G. J. and DeFries , R. S. 2003 . Global distribution of C3 and C4 vegetation: Carbon cycle implications . Global Biogeochemical Cycles , 17 : 2061 – 2074 .
- Tan , B. , Woodcock , C. E. , Hu , J. , Zhang , P. , Ozdogan , M. , Huang , D. , Yang , W. , Knyazikhin , Y. and Myneni , R. B. 2006 . 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 Sensing of Environment , 105 : 98 – 114 .
- Tieszen , L. L. , Reed , B. C. , Bliss , N. B. , Wylie , B. K. and DeJong , D. D. 1997 . NDVI, C3 and C4 production, and distributions in Great Plains grassland land cover classes . Ecological Applications , 7 : 59 – 78 .
- Verstraete , M. M. , Pinty , B. and Curran , P. J. 1999 . MERIS potential for land application . International Journal of Remote Sensing , 20 : 1747 – 1756 .
- Woodcock , C. E. , Macomber , S. A. , Pax-Lenney , M. and Cohen , W. B. 2001 . Monitoring large areas for forest change using Landsat: generalization across space, time and Landsat sensors . Remote Sensing of Environment , 78 : 194 – 203 .
- Zhang , L. , Wylie , B. , Loveland , T. , Fosnight , E. , Tieszen , L. L. , Ji , L. and Gilmanov , T. 2007 . Evaluation and comparison of gross primary production estimates for the Northern Great Plains grasslands . Remote Sensing of Environment , 106 : 173 – 189 .
- Zhang , X. , Friedl , M. A. and Schaaf , C. B. 2009 . Sensitivity of vegetation phenology detection to the temporal resolution of satellite data . International Journal of Remote Sensing , 30 : 2061 – 2074 .