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

International Journal of Remote Sensing

Volumn 32, Issue 24, 2011, Pages 9051-9070

  Meng, Jihua ^a,b   Wu, Bingfang ^a   Chen, Xueyang ^a   Du, Xin ^a   Niu, Liming ^a   Zhang, Feifei ^a  

^a INSTITUTE OF REMOTE SENSING APPLICATIONS   (China)

^b INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CHARGE COUPLED DEVICES; REFLECTION; VEGETATION;

CORRELATION COEFFICIENT; DIFFERENTIAL IMAGE; ENHANCED VEGETATION INDEX; NORMALIZED DIFFERENCE VEGETATION INDEX; RATIO VEGETATION INDICES; SPECTRAL REFLECTANCES; STANDARD DEVIATION; VEGETATION INDEX;

CCD CAMERAS;

COMPARATIVE STUDY; COMPUTER SIMULATION; CORRELATION; HYPERION; IMAGE ANALYSIS; NDVI; RELIABILITY ANALYSIS; SPECTRAL REFLECTANCE;

HYPERION;

EID: 82155171375     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2010.549847     Document Type: Article

References (45)

1. Boardman, J.W., 1998, Post-ATREM polishing of AVIRIS apparent reflectance data using EFFORT: a lesson in accuracy versus precision. Summaries of the Seventh JPL Airborne Earth Science Workshop, Vol. 1, p. 53 (Pasadena, CA: JPL Publication).
2. 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, pp. 165-184.
3. CIHLAR, J., CHEN, J. and LI, Z., 1997, On the validation of satellite-derived products for land applications. Canadian Journal of Remote Sensing, 23, pp. 381-389.
4. 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, pp. 102-14.
5. 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, pp. 1246-1259.
6. 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, pp. 91-98.
7. 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, pp. 95-98.
8. 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, pp. 221-231.
9. Gilabert, M.A., Gonzá Lez-Piqueras, J., Garcia-Haro, F.J. and MELIA, J., 2002, A generalized soil-adjusted vegetation index. Remote Sensing of Environment, 82, pp. 303-310.
10. 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 Sea WiFS against groundbased estimations. Journal of Geophysical Research, 111, pp. 1-15.
11. 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, pp. 1871-1883.
12. 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, pp. 105-115.
13. 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, pp. 1321-1331.
14. 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, pp. 495-518.
15. 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, pp. 2677-2685.
16. HUETE, A.R., 1988, A soil-adjusted vegetation index (SAVI). Remote Sensing of Environment, 25, pp. 295-309.
17. HUETE, A.R., JUSTICE, C. and LIU, H., 1994, Development of vegetation and soil indices for MODIS-EOS. Remote Sensing of Environment, 49, pp. 224-234.
18. 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, pp. 440-451.
19. 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, pp. 3833-3845.
20. JORDAN, C.F., 1969, Derivation of leaf-area index from quality of light on the forest floor. Ecology, 50, pp. 663-666.
21. 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, pp. 3383-3390.
22. JUSTICE, C.O. and TOWNSHEND, J.R.G., 1994, Data sets for global remote sensing: lessons learnt. International Journal of Remote Sensing, 15, pp. 3621-3639.
23. 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, pp. 84-97.
24. 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, pp. 1889-1898.
25. MÉLIN, F., CLERICI, M., ZIBORDI, G., HOLBEN, B.N. and SMIRNOV, A., 2010, Validation of Sea WiFS and MODIS aerosol products with globally distributed AERONET data. Remote Sensing of Environment, 114, pp. 230-250.
26. 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, pp. 100-110.
27. 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, pp. 1160-1173.
28. 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, pp. 81-94.
29. 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, pp. 1-12.
30. Research System, Inc., 2003, FLAASH, Research System, Inc., Boulder [M/OL], CO. Available online at: http://www.rsinc.com/envi/flaash.asp.
31. ROUSE JR., J.W. HAAS, R.JA.H. SHELL and DEERING D.W., 1974, Monitoring vegetation systems in the Great Plains with ERTS. In Third Earth Resources Technology Satellite- 1 Symposium, Washington, DC (Washington, DC: NASA Scientific and Technical Information Office), Vol. 1, pp. 309-317.
32. 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, pp. 186-193.
33. 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, pp. 2328-2344.
34. SHIHUA, L. and YUANMEI, J., 2009, Image quality assessment for the HJ-A CCD. Infrared Technology, 31, pp. 167-172 (in Chinese).
35. STEVEN, M.D. and MILLAR, C., 1997, Satellite monitoring for precision farm decision support. In Precision Agriculture. Proceedings 1st European Conference on Precision Agriculture, 8-10 September 1997, J.V. Stafford (Ed.), Warwick, UK (Oxford: Bios Scientific Publishers), pp. 697-704.
36. 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, pp. 354-376.
37. THOMAS, H.E., WATSON, I.M., KEARNEY, C., CARN, S.A. and MURRAY, S.J., 2009, A multisensor comparison of sulphur dioxide emissions from the 2005 eruption of Sierra Negra volcano, Galápagos Islands. Remote Sensing of Environment, 113, pp. 1331-1342.
38. 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, pp. 414-430.
39. 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, pp. 1435-1446.
40. 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, pp. 1149-1159.
41. VERMOTE, E.F., TANRÉ, D., DEUZÉ, 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, pp. 675-686.
42. 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. Remote Sensing of Environment, 112, pp. 314-325.
43. WAN, Z., 2008, New refinements and validation of the MODIS Land-Surface Temperature/Emissivity products. Remote Sensing of Environment, 112, pp. 59-74.
44. 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, pp. 317-331.
45. 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, pp. 13-19.