Assessment of the SeaWinds scatterometer for vegetation phenology monitoring across China

References

• Charlton , M. B. and White , K. 2006 . Sensitivity of Radar Backscatter to Desert Surface Roughness . International Journal of Remote Sensing , 27 : 1641 – 1659 .
   Web of Science ®Google Scholar
• De Beurs , K. M. and Henebry , G. M. 2004 . Land Surface Phenology, Climatic Variation, and Institutional Change: Analyzing Agricultural Land Cover Change in Kazakhstan . Remote Sensing of Environment , 89 : 497 – 509 .
   Web of Science ®Google Scholar
• De Beurs , K. M. and Henebry , G. M. 2010 . “ Spatio-Temporal Statistical Methods for Modeling Land Surface Phenology ” . In Phenological Research: Methods for Environmental and Climate Change Analysis, edited by , Edited by: Hudson , I. L. and Keatley , M. R. 177 – 208 . Dordrecht : Springer .
   Google Scholar
• Early , D. S. and Long , D. G. 1996 . “ Error Characteristics of the SIR Resolution Enhancement Algorithm ” . In Proceeding of IGARSS’96 , 124 – 126 . Lincoln , NE : IGARSS .
   Google Scholar
• Early , D. S. and Long , D. G. 2001 . Image Reconstruction and Enhanced Resolution Imaging from Irregular Samples . IEEE Transactions on Geoscience and Remote Sensing , 39 : 291 – 302 .
   Web of Science ®Google Scholar
• Elachi , C. 1987 . Introduction to the Physics and Techniques of Remote Sensing , Hoboken , NJ : Wiley .
   Google Scholar
• 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. , Baccini , A. , Gao , F. and Schaaf , C. 2002 . Global Land Cover Mapping from MODIS: Algorithms and Early Results . Remote Sensing of Environment , 83 : 287 – 302 .
   Web of Science ®Google Scholar
• Frison , P. L. and Mougin , E. 1996a . Monitoring Global Vegetation Dynamics with ERS-1 Wind Scatterometer Data . International Journal of Remote Sensing , 17 : 3201 – 3218 .
   Web of Science ®Google Scholar
• Frison , P. L. and Mougin , E. 1996b . Use of ERS-1 Wind Scatterometer Data over Land Surfaces . IEEE Transactions on Geoscience and Remote Sensing , 34 : 550 – 560 .
   Web of Science ®Google Scholar
• Frolking , S. , Fahnestock , M. , Milliman , T. , Mcdonald , K. and Kimball , J. 2005 . Interannual Variability in North American Grassland Biomass/Productivity Detected by SeaWinds Scatterometer Backscatter . Geophysical Research Letter , 32 : L21409
   Web of Science ®Google Scholar
• Frolking , S. , Milliman , T. , Mcdonald , K. , Kimball , J. , Zhao , M. and Fahnestock , M. 2006 . Evaluation of the SeaWinds Scatterometer for Regional Monitoring of Vegetation Phenology . Journal of Geophysical Research , 111 : D17302
   Web of Science ®Google Scholar
• Ganguly , S. , Friedl , M. , Tan , B. , Zhang , X. Y. 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 .
   Web of Science ®Google Scholar
• Hardin , P. J. and Jackson , M. W. 2003 . Investigating Seawinds Terrestrial Backscatter: Equatorial Savannas of South America . Photogrammetric Engineering and Remote Sensing , 69 : 1243 – 1254 .
   Web of Science ®Google Scholar
• IPCC . 2007 . Climate Change 2007: Synthesis Report. Contribution of Working Groups I, II and III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change , 104 Geneva : IPCC .
   Google Scholar
• Jones , M. O. , Jones , L. A. , Kimball , J. S. and Mcdonald , K. C. 2011 . Satellite Passive Microwave Remote Sensing for Monitoring Global Land Surface Phenology . Remote Sensing of Environment , 115 : 1102 – 1114 .
   Web of Science ®Google Scholar
• Jönsson , P. and Eklundh , L. 2002 . Seasonality Extraction by Function Fitting to Time-Series of Satellite Sensor Data . IEEE Transactions on Geoscience and Remote Sensing , 40 : 1824 – 1831 .
   Web of Science ®Google Scholar
• Jönsson , P. and Eklundh , L. 2004 . Timesat – A Program for Analyzing Time-Series of Satellite Sensor Data . Computers and Geosciences , 30 : 833 – 845 .
   Web of Science ®Google Scholar
• Kennett , R. G. and Li , F. K. 1989 . Seasat Over-Land Scatterometer Data. I. Global Overview of the Ku Band Backscatterer Coefficients . IEEE Transactions on Geoscience and Remote Sensing , 27 : 592 – 605 .
   Web of Science ®Google Scholar
• Kimball , J. S. , Mcdonald , K. C. , Running , S. W. and Frolking , S. 2004 . Satellite Radar Remote Sensing of Seasonal Growing Seasons for Boreal and Subalpine Evergreen Forests . Remote Sensing of Environment , 90 : 243 – 258 .
   Web of Science ®Google Scholar
• Lieth , H. , ed. 1974 . Phenology and Seasonal Modeling , New York : Springer .
   Google Scholar
• Lloyd , D. 1990 . A Phenological Classification of Terrestrial Vegetation Cover Using; Shortwave Vegetation Index Imagery . International Journal of Remote Sensing , 11 : 2269 – 2279 .
   Web of Science ®Google Scholar
• Long , D. G. and Hardin , P. J. 1994 . Vegetation Studies of the Amazon Basin Using Enhanced Resolution Seasat Scatterometer Data . IEEE Transactions on Geoscience and Remote Sensing , 32 : 449 – 460 .
   Web of Science ®Google Scholar
• Macelloni , G. , Paloscia , S. , Pampaloni , P. and Santi , E. 2003 . Global Scale Monitoring of Soil and Vegetation Using SSM/I and ERS Wind Scatterometer . International Journal of Remote Sensing , 24 : 2409 – 2425 .
   Web of Science ®Google Scholar
• Madsen , K. , Nielsen , H. B. and Tingleff , O. , eds. 2004 . Methods for Non-Linear Least Squares Problems , Copenhagen : Technical University of Denmark .
   Google Scholar
• Menzel , A. 2000 . Trends in Phenological Phases in Europe Between 1951 and 1996 . International Journal of Biometeorology , 44 : 76 – 81 .
   PubMed Web of Science ®Google Scholar
• Min , Q. L. and Lin , B. 2006 . Determination of Spring Onset and Growing Season Leaf Development Using Satellite Measurements . Remote Sensing of Environment , 104 : 96 – 102 .
   Web of Science ®Google Scholar
• Morisette , J. T. , Richardson , A. D. , Knapp , A. K. , Fisher , J. I. , Graham , E. A. and Abatzoglou , J. 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 .
   Web of Science ®Google Scholar
• Mougin , E. , Lopes , A. , Frison , P. L. and Proisy , C. 1995 . Preliminary Analysis of the ERS-1 Wind-Scatterometer Data over Land Surfaces . International Journal of Remote Sensing , 16 : 391 – 398 .
   Web of Science ®Google Scholar
• Myneni , R. B. , Hoffman , S. , Knyazikhin , Y. , Privette , J. L. , Glassy , J. , Tian , Y. , Wang , Y. , Song , X. , Zhang , Y. , Smith , Y. , Lotsch , A. , Friedl , M. , Morisette , J. T. , Votava , P. , Nemani , R. R. and Running , S. W. 2002 . Global Products of Vegetation Leaf Area and Fraction Absorbed Par from Year One of MODIS Data . Remote Sensing of Environment , 83 : 214 – 231 .
   Web of Science ®Google Scholar
• 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 to 1991 . Nature , 386 : 698 – 702 .
   Web of Science ®Google Scholar
• Nemani , R. R. , Keeling , C. D. , Hashimoto , H. , Jolly , W. M. , Piper , S. C. and Tucker , C. J. 2003 . Climate-Driven Increases in Global Terrestrial Net Primary Production from 1982 to 1999 . Science , 300 : 1560 – 1563 .
   PubMed Web of Science ®Google Scholar
• Prigent , C. , Aires , F. , Rossow , W. B. and Matthews , E. 2001 . Joint Characterization of Vegetation by Satellite Observations from Visible to Microwave Wavelength: A Sensitivity Analysis . Journal of Geophysical Research , 106 : 20665 – 206851 .
   Web of Science ®Google Scholar
• 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 .
   PubMed Web of Science ®Google Scholar
• Roberts , J. J. , Best , B. D. , Dunn , D. C. , Treml , E. A. and Halpin , P. N. 2010 . Marine Geospatial Ecology Tools: An Integrated Framework for Ecological Geoprocessing with ArcGIS, Python, R, MATLAB, and C++ . Environmental Modeling and Software , 25 : 1197 – 1207 .
   Web of Science ®Google Scholar
• Schwartz , M. D. , ed. 2003 . Phenology: An Integrative Environmental Science , Dordrecht : Kluwer Academic Publishing .
   Google Scholar
• Schwartz , M. D. , Ahas , R. and Aasa , A. 2006 . Onset of Spring Starting Earlier Across the Northern Hemisphere . Global Change Biology , 1122 : 343 – 351 .
   Web of Science ®Google Scholar
• Shi , J. , Jackson , T. , Tao , J. , Du , J. , Bindlish , R. , Lu , L. and Chen , K. S. 2008 . Microwave Vegetation Indices for Short Vegetation Covers from Satellite Passive Microwave Sensor AMSRE . Remote Sensing of Environment , 112 : 4285 – 4300 .
   Web of Science ®Google Scholar
• Stöckli , R. , Rutishauser , T. , Baker , I. , Liniger , M. A. and Denning , A. S. 2011 . A Global Reanalysis of Vegetation Phenology . Journal of Geophysical Research , 116 : G03020
   Web of Science ®Google Scholar
• Tansey , K. and Millington , A. C. 2001 . Investigating the Potential for Soil Moisture and Surface Roughness Monitoring in Drylands Using ERS SAR Data . International Journal of Remote Sensing , 22 : 2129 – 2149 .
   Web of Science ®Google Scholar
• Tateishi , R. and Ebata , M. 2004 . Analysis of Phenological Change Patterns Using 1982–2000 Advanced Very High Resolution Radiometer (AVHRR) Data . International Journal of Remote Sensing , 25 : 2287 – 2300 .
   Web of Science ®Google Scholar
• Ulaby , F. T. , Allen , C. T. and Eger , G. 1984 . Relating the Microwave Backscattering Coefficient to Leaf Area Index . Remote Sensing of Environment , 14 : 113 – 133 .
   Web of Science ®Google Scholar
• Ulaby , F. T. , Baltlivala , P. P. and Dobson , M. C. 1978 . Microwave Backscattering Dependence on Surface Roughness, Soil Moisture and Soil Texture, Part 1 – Bare Soil . IEEE Transactions on Geoscience and Remote Sensing , 4 : 286 – 295 .
   Google Scholar
• Ulaby , F. T. , Moore , R. K. and Fung , A. K. , eds. 1982 . Microwave Remote Sensing: Active and Passive, Vol. II: Radar Remote Sensing and Surface Scattering and Emission Theory , Reading , MA : Addison-Wesley .
   Google Scholar
• Wagner , W. , Lemoine , G. , Borgeaud , M. and Rott , H. 1999 . A Study of Vegetation Cover Effects on ERS Scatterometer Data . IEEE Transactions on Geoscience and Remote Sensing , 37 : 938 – 948 .
   Web of Science ®Google Scholar
• 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 , 11 : 217 – 234 .
   Web of Science ®Google Scholar
• Yu , X. and Zhuang , D. 2006 . Monitoring Forest Phenophase of Northeast China Based on MODIS NDVI Data . Resources Sciences , 28 : 111 – 117 .
   Google Scholar
• 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 .
   Web of Science ®Google Scholar
• Zhou , L. , Tucker , C. J. , Kaufmann , R. K. , Slayback , D. , Shabanov , N. V. and Myneni , R. B. 2001 . Variations in Northern Vegetation Activity Inferred from Satellite Data of Vegetation Index During 1981 to 1999 . Journal of Geophysical Research , 106 : 20069 – 20083 .
   Web of Science ®Google Scholar