Validation of HJ-1 B charge-coupled device vegetation index products with spectral reflectance of Hyperion

References

• Boardman , J.W. 1998 . “ Post-ATREM polishing of AVIRIS apparent reflectance data using EFFORT: a lesson in accuracy versus precision ” . In Summaries of the Seventh JPL Airborne Earth Science Workshop , Vol. 1 , 53 Pasadena , CA : JPL Publication .
   Google Scholar
• Chen , J.M. , Pavlic , G. , Brown , L. , Cihlar , J. , Leblanc , S.G. , White , H.P. , Hall , R.J. , Peddle , D.R. , King , D.J. , Trofymow , J.A. , Swift , E. , Van der Sanden , J. and Pellikka , P.K.E. 2002 . Derivation and validation of Canada-wide coarse-resolution leaf area index maps using high-resolution satellite imagery and ground measurements . Remote Sensing of Environment , 80 : 165 – 184 .
   Web of Science ®Google Scholar
• Cihlar , J. , Chen , J. and Li , Z. 1997 . On the validation of satellite-derived products for land applications . Canadian Journal of Remote Sensing , 23 : 381 – 389 .
   Google Scholar
• Clerbaux , N. , Russell , J.E. , Dewitte , S. , Bertrand , C. , Caprion , D. , de Paepe , B. , Gonzalez Sotelino , L. , Ipe , A. , Bantges , R. and Brindley , H.E. 2009 . Comparison of GERB instantaneous radiance and flux products with CERES Edition-2 data . Remote Sensing of Environment , 113 : 102 – 14 .
   Web of Science ®Google Scholar
• Datt , B. , McVicar , T.R. , Van Niel , T.G. , Jupp , D.L.B. and Pearlman , J.S. 2003 . Preprocessing EO-1 Hyperion hyperspectral data to support the application of agricultural indexes . IEEE Transaction on Geoscience and Remote Sensing , 41 : 1246 – 1259 .
   Web of Science ®Google Scholar
• De Koeijer , K.J. , Steven , M.D. , Colls , J.J. and Williams , J. 2000 . Integration of earth observation data with a crop model for yield forecasting . Aspects of Applied Biology , 60 : 91 – 98 .
   Google Scholar
• Esbensen , K. , Robb , M. , Strand , G. and Geladi , P. 1989 . Integrated image processing/GIS software/hardware for the PC: the ERDAS hw/sw system . Chemometrics and Intelligent Laboratory Systems , 49 : 95 – 98 .
   Web of Science ®Google Scholar
• Gallo , K. , Ji , L. , Reed , B. , Eidenshink , J. and Dwyer , J. 2005 . Multi-platform comparisons of MODIS and AVHRR normalized difference vegetation index data . Remote Sensing of Environment , 99 : 221 – 231 .
   Web of Science ®Google Scholar
• Gilabert , M.A. , Gonza´lez-Piqueras , J. , Garcia-Haro , F.J. and Melia , J. 2002 . A generalized soil-adjusted vegetation index . Remote Sensing of Environment , 82 : 303 – 310 .
   Web of Science ®Google Scholar
• Gobron , N. , Pinty , B. , Aussedat , O. , Chen , J. , Cohen , W.B. and Fensholt , R. 2006 . Evaluation of FAPAR products for different canopy radiation transfer regimes: methodology and results using JRC products derived from SeaWiFS against ground-based estimations . Journal of Geophysical Research , 111 : 1 – 15 .
   PubMed Web of Science ®Google Scholar
• Gobron , N. , Pinty , B. , Aussedat , O. , Taberner , M. , Faber , O. , Mélin , F. , Lavergne , T. , Robustelli , M. and Snoeij , P. 2008 . Uncertainty estimates for the FAPAR operational products derived from MERIS – impact of top-of-atmosphere radiance uncertainties and validation with field data . Remote Sensing of Environment , 112 : 1871 – 1883 .
   Web of Science ®Google Scholar
• Gobron , N. , Pinty , B. , Mélin , F. , Taberner , M. , Verstraete , M.M. , Robustelli , M. and Widlowski , J. 2007 . Evaluation of the MERIS/ENVISAT FAPAR product . Advances in Space Research , 39 : 105 – 115 .
   Web of Science ®Google Scholar
• Goodenough , D.G. , Dyk , A. , Niemann , K.O. , Pearlman , J.S. , Chen , H.A.O. , Han , T. , Murdoch , M. and West , C. 2003 . Processing Hyperion and ALI for forest classification . IEEE Transaction on Geoscience and Remote Sensing , 41 : 1321 – 1331 .
   Web of Science ®Google Scholar
• Hill , M.J. , Senarath , U. , Lee , A. , Zeppel , M. , Nightingale , J.M. , Williams , R.D.J. and McVicar , T.R. 2006 . Assessment of the MODIS LAI product for Australian ecosystems . Remote Sensing of Environment , 101 : 495 – 518 .
   Web of Science ®Google Scholar
• Howard , R.G. and Bryan , A.F. 2008 . Remote sensing of ocean color: assessment of the water-leaving radiance bidirectional effects on the atmospheric diffuse transmittance for SeaWiFS and MODIS intercomparisons . Remote Sensing of Environment , 112 : 2677 – 2685 .
   Web of Science ®Google Scholar
• Huete , A.R. 1988 . A soil-adjusted vegetation index (SAVI) . Remote Sensing of Environment , 25 : 295 – 309 .
   Web of Science ®Google Scholar
• Huete , A.R. , Justice , C. and Liu , H. 1994 . Development of vegetation and soil indices for MODIS-EOS . Remote Sensing of Environment , 49 : 224 – 234 .
   Web of Science ®Google Scholar
• Huete , A.R. , Liu , H.Q. , Batchily , K. and van Leeuwen , W. 1997 . A comparison of vegetation indices over a global set of TM images for EOS-MODIS . Remote Sensing of Environment , 59 : 440 – 451 .
   Web of Science ®Google Scholar
• Jiang , Z. , Huete , A.R. , Didan , K. and Miura , T. 2008 . Development of a two-band enhanced vegetation index without a blue band . Remote Sensing of Environment , 112 : 3833 – 3845 .
   Web of Science ®Google Scholar
• Jordan , C.F. 1969 . Derivation of leaf-area index from quality of light on the forest floor . Ecology , 50 : 663 – 666 .
   Web of Science ®Google Scholar
• Justice , C. , Belward , A. , Morisette , J. , Lewis , P. , Privette , J. and Baret , F. 2000 . Developments in the ‘validation’ of satellite sensor products for the study of land surface . International Journal of Remote Sensing , 21 : 3383 – 3390 .
   Web of Science ®Google Scholar
• Justice , C.O. and Townshend , J.R.G. 1994 . Data sets for global remote sensing: lessons learnt . International Journal of Remote Sensing , 15 : 3621 – 3639 .
   Web of Science ®Google Scholar
• Khurshid , K.S. , Staenz , K. , Sun , L. , Neville , R. , White , H.P. , Bannari , A. , Champagne , C.M. and Hitchcock , R. 2006 . Preprocessing of EO-1 Hyperion data . Canadian Journal of Remote Sensing , 32 : 84 – 97 .
   Web of Science ®Google Scholar
• Latifovic , R. , Cihlar , J. and Chen , J. 2003 . A comparison of BRDF models for the normalization of satellite optical data to a standard sun-target-sensor geometry . IEEE Transactions on Geoscience and Remote Sensing , 41 : 1889 – 1898 .
   Web of Science ®Google Scholar
• Mélin , F. , Clerici , M. , Zibordi , G. , Holben , B.N. and Smirnov , A. 2010 . Validation of SeaWiFS and MODIS aerosol products with globally distributed AERONET data . Remote Sensing of Environment , 114 : 230 – 250 .
   Web of Science ®Google Scholar
• Morisette , J.T. , Nickeson , J.E. , Davis , P. , Wang , Y. , Tian , Y. , Woodcock , C.E. , Shabanov , N. , Hansen , M. , Cohen , W.B. , Oetter , D.R. and Kennedy , R.E. 2003 . High spatial resolution satellite observations for validation of MODIS land products: IKONOS observations acquired under the NASA scientific data purchase . Remote Sensing of Environment , 88 : 100 – 110 .
   Web of Science ®Google Scholar
• Pearlman , J.S. , Barry , P.S. , Segal , C.C. , Shepanski , J. , Beiso , D. and Carman , S.L. 2003 . Hyperion, a space-based imaging spectrometer . IEEE Transactions on Geoscience and Remote Sensing , 41 : 1160 – 1173 .
   Web of Science ®Google Scholar
• Pisek , J. and Chen , J.M. 2007 . Comparison and validation of MODIS and VEGETATION global LAI products over four BigFoot sites in North America . Remote Sensing of Environment , 109 : 81 – 94 .
   Web of Science ®Google Scholar
• Privette , J.L. , Asner , G.P. , Conel , J. , Huemmrich , K.F. , Olson , R. , Rango , A. , Rahman , A. , Thome , F.K. and Walter-Shea , E.A. 2000 . The EOS Prototype Validation Exercise (PROVE) at Jornada: overview and lessons learned . Remote Sensing of Environment , 74 : 1 – 12 .
   Web of Science ®Google Scholar
• Research System, Inc., 2003, FLAASH, Research System, Inc., Boulder [M/OL], CO. Available online at http://www.rsinc.com/envi/flaash.asp (http://www.rsinc.com/envi/flaash.asp)
   Google Scholar
• Rouse Jr. , J.W. , Haas , R.H. , Shell , J.A. and Deering , D.W. 1974 . “ Monitoring vegetation systems in the Great Plains with ERTS ” . In Third Earth Resources Technology Satellite-1 Symposium , Vol. 1 , 309 – 317 . Washington , DC : NASA Scientific and Technical Information Office . DC
   Google Scholar
• Rozanov , V.V. , Kokhanovsky , A.A. , Loyola , D. , Siddans , R. , Latter , B. , Stevens , A. and Burrows , J.P. 2006 . Intercomparison of cloud top altitudes as derived using GOME and ATSR-2 instruments onboard ERS-2 . Remote Sensing of Environment , 102 : 186 – 193 .
   Web of Science ®Google Scholar
• Sabol , D.E. , Gillespie , A.R. , Abbott , E. and Yamada , G. 2009 . Field validation of the ASTER Temperature-Emissivity Separation algorithm . Remote Sensing of Environment , 113 : 2328 – 2344 .
   Web of Science ®Google Scholar
• Shihua , L. and Yuanmei , J. 2009 . Image quality assessment for the HJ-A CCD . Infrared Technology , 31 : 167 – 172 . in Chinese
   Google Scholar
• Steven , M.D. and Millar , C. 1997 . “ Satellite monitoring for precision farm decision support ” . In Precision Agriculture. Proceedings 1st European Conference on Precision Agriculture , Edited by: Stafford , J.V. 697 – 704 . Oxford , , UK : Bios Scientific Publishers . 8–10 September 1997 Ed. Warwick
   Google Scholar
• Thenkabail , S.P. , Enclona , E.A. , Ashton , M. and Van der Meer , B. 2004 . Accuracy assessments of hyperspectral waveband performance for vegetation analysis applications . Remote Sensing of Environment , 91 : 354 – 376 .
   Web of Science ®Google Scholar
• Thomas , H.E. , Watson , I.M. , Kearney , C. , Carn , S.A. and Murray , S.J. 2009 . A multi-sensor comparison of sulphur dioxide emissions from the 2005 eruption of Sierra Negra volcano, Galápagos Islands . Remote Sensing of Environment , 113 : 1331 – 1342 .
   Web of Science ®Google Scholar
• Tian , Y. , Woodcock , C.E. , Wang , Y. , Privette , J.L. , Shabanov , N.V. , Zhou , L. , Zhang , Y. , Buermann , W. , Dong , J. , Veikkanen , B. , Häme , T. , Andersson , K. , Ozdogan , M. , Knyazikhin , Y. and Myneni , R.B. 2002 . Multiscale analysis and validation of the MODIS LAI product I. Uncertainty assessment . Remote Sensing of Environment , 83 : 414 – 430 .
   Web of Science ®Google Scholar
• Townshend , J.R.G. and Justice , C.O. 1986 . Analysis of the dynamics of African vegetation using the normalized difference vegetation index . International Journal of Remote Sensing , 7 : 1435 – 1446 .
   Web of Science ®Google Scholar
• Ungar , S.G. , Pearlman , J.S. , Mendenhall , J. and Reuter , D. 2003 . Overview of the Earth Observing 1 (EO-1) mission . IEEE Transactions Geoscience and Remote Sensing , 41 : 1149 – 1159 .
   Web of Science ®Google Scholar
• Vermote , E.F. , Tanre´ , D. , Deuze´ , J.L. , Herman , L. and Morcrette , J.-J. 1997 . Second simulation of the satellite signal in the solar spectrum, 6S: an overview . IEEE Transactions on Geoscience and Remote Sensing , 35 : 675 – 686 .
   Web of Science ®Google Scholar
• Vivoni , E.R. , Gebremichael , M. , Watts , C.J. , Bindlish , R. and Jackson , T.J. 2008 . “ Comparison of ground-based and remotely-sensed surface soil moisture estimates over complex terrain during SMEX04 ” . In Remote Sensing of Environment Vol. 112 , 314 – 325 .
   Google Scholar
• Wan , Z. 2008 . New refinements and validation of the MODIS Land-Surface Temperature/Emissivity products . Remote Sensing of Environment , 112 : 59 – 74 .
   Web of Science ®Google Scholar
• Weiss , M. , Baret , F. , Garrigues , S. and Lacaze , R. 2007 . LAI and fAPAR CYCLOPES global products derived from VEGETATION. Part 2: validation and comparison with MODIS collection 4 products . Remote Sensing of Environment , 110 : 317 – 331 .
   Web of Science ®Google Scholar
• Yan , H. , Liu , J. , Huang , H.Q. , Tao , B. and Cao , M. 2009 . Assessing the consequence of land use change on agricultural productivity in China . Global and Planetary Change , 67 : 13 – 19 .
   Web of Science ®Google Scholar