Abstract
CCD and WFI are payloads in the visible light and near infrared bands on CBERS satellites and they have not been applied widely, especially WFI. This article mainly probes into the potential of these two sensors’ application in the vegetation monitoring and analyses the influences of radiometric calibration, atmosphere conditions and sun-observing geometry, etc. onNDVI obtained from these two sensors respectively. In addition it analyses the effect of the spectral response difference of red and near infrared spectral bands in CCD and WFI sensors onNDVI. Results indicate that radiometric calibration is the most important factor onNDVI, which cannot be applied to vegetation monitoring without radiometric calibration. Results also demonstrate that near surfaceNDVI is different greatly from that of TOA which change with atmosphere conditions. The study shows thatNDVI is also affected by the non-lambertian character of surface and the change of the atmospheric path with the observing geometry. AndNDVI of WFI is higher than that of CCD. They are very different because of their spectral diffirence, but they have a good linear relevant relationship.
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Wu, M. R., Wang, Z. M., China Brazil Earth Resources Satellite and its application foreground, Chinese Spaceflight (in Chinese), 2000, (1): 10–14.
Bannari, A., Morin, D., Bonn, F., A review of vegetation indices, Remote Sensing Reviews, 1995, 13: 95–120.
Maselli, F., Romanelli, S., Bottai, L. et al., Use of NOAA-AVHRR NDVI images for the estimation of dynamic fire risk in Mediterrane an areas, Remote Sensing of Environment, 2003, 86(2): 187–197.
Hill, M. J., Donald, G. E., Estimating spatio-temporal patterns of agricultural productivity in fragmented landscapes using AVHRR NDVI time series, Remote Sensing of Environment, 2003, 84(3): 367–384.
Maselli, F., Monitoring forest conditions in a protected Mediterranean coastal area by the analysis of multiyear NDVI data, Remote Sensing of Environment, 2004, 89: 423–433.
Weiss, J. L., Gutzler, D. S., Coonrod, J. E. A. et al., Long-term vegetation monitoring with NDVI in a diverse semi-arid setting, central New Mexico, USA, Journal of Arid Environments, 2004, 58: 249–272.
Wang, Q., Tenhunen, J. D., Vegetation mapping with multi-temporal NDVI in North Eastern China Transect (NECT), International Journal of Applied Earth Observation and Geo-information, 2004, 6: 17–31.
Hill, M. J., Donald, G. E., Hyder, M. W. et al., Estimation of pasture growth rate in the south west of Western Australia from AVHRR NDVI and climate data, Remote Sensing of Environment, 2004, 93: 528–545.
Mkhabela, M. S., Mkhabela, M. S., Mashinini, N. N., Early maize yield forecasting in the four agro-ecological regions of Swaziland using NDVI data derived from NOAA’s-AVHRR. Agricultural and Forest Meteorology, 2005, 129: 1–9.
Pettorelli, N., Vik, J. O., Mysterud, A. et al., Using the satellite-derived NDVI to assess ecological responses to environmental change, Trends in Ecology and Evolution, 2005, 20(9): 503–510.
Stefanov, W. L., Netzband, M., Assessment of ASTER land cover and MODIS NDVI data at multiple scales for ecological characterization of an arid urban center, Remote Sensing of Environment, 2005, 99(1–2): 31–43.
Anyamba, A., Tucker, C. J., Analysis of Sahelian vegetation dynamics using NOAA-AVHRR NDVI data from 1981–2003. Journal of Arid Environments, 2005, 63: 596–614.
Chu, D., Plateau meteorology seasonal changes of vegetation cover in Lhasa area based on NOAA AVHRR NDVI, Plateau Meteorology (in Chinese), 2003, 22(Suppl.): 145–151.
Qi, S. H., Wang, C. Y. Niu, Z. et al., SVI and VCI based on NDVI time-senes dataset used to monitor vegetation growth status and its response to climate variable, Progress in Geography (in Chinese), 2004, 23(3): 91–99.
Yang, X. H., Zhang, X. P., Jiang, D., Extraction of multi-crop planting areas from MODIS data, Resources Science (in Chinese), 2004, 26(6): 17–22.
Wang, C. Y., Luo, C. F., Qi, S. H. et al., A method of land cover classification for China based on NDVI-Ts space, Journal of Remote Sensing (in Chinese), 2005, 9(1): 93–99.
Wang, Z. X., Liu, C., Alfredo, H., From AVHRR-NDVI to M ODIS-EVI: Advances in vegetation index research. Acta Ecologica Sinica (in Chinese), 2003, 23(5): 979–987.
Gu, S. Y., Fan, T. X., Zhang, W. J., Improved NDVI of FY-IC CAVHRR, Journal of Applied Meteorological Science (in Chinese), 2004, 14(5): 562–566.
Trishchenko, A. P., Cihlar, J., Li, Z. Q., Effects of spectral response function on surface reflectance and NDVI measured with moderate resolution satellite sensors, Remote Sensing of Environment, 2002, 81: 1–18.
Liu, L. M., Liang, Y. T., Ma, H. Y. et al., Relationship esearch between MODIS-NDVI and AVHRR-NDVI, Geomatics and Information Science of Wuhan University (in Chinese), 2004, 29(4): 307–310.
Gutman, G. G., Vegetation indices from AVHRR: An update and future prospects, Remote Sensing of Environment, 1991, 35: 121–136.
Kobayashi, H., Dye, D. G., Atmospheric conditions for monitoring the long-term vegetation dynamics in the Amazon using normalized difference vegetation index, Remote Sensing of Environment, 2005, 97(4): 519.
Guyot, G., Gu, X. F., Effect of radiometric corrections on NDVI-determined from SPOT-HRV and landsat-TM data, Remote Sensing of Environment, 1994. 49: 169–180.
Li, X. Y., Gu, X. F., Min, X. J. et al., Radiometric cross-calibration of the CEBERS-02 CCD camera with the TERRA MODIS, Science in China. Ser. E, 2005, 48(suppl) 44–60.
Li, X. Y., Gu, X. F., Yu, T.,et al., Radiometric cross-calibration of CBERS-02 WFI with MODIS and the effect on VI, Journal of Remote Sensing (in Chinese), in press.
Zhao, F., Kernel-based vegetation index and the study of its temperal and spatial features, Master Thesis of Beijing Normal University, 2004.
Kuusk, A., A two-layer canopy reflectance model, JQSRT, 2001, 71: 1–9.
Fensholt, R., Sandholt, I., Rasmussen, M. S., Evaluation of MODIS LAI, fAPAR and the relation between fAPAR and NDVI in a semi-arid environment usingin situ measurements, Remote Sensing of Environment, 2004, 91: 490–507.
Tang, S. H., Zhu, Q. J., Wang, J. D. et al., Principle and application of three-band gradient difference vegetation index, Science in China, Ser. D, 2005, 48(2): 241–249.
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Yu, T., Li, X., Zhang, Y. et al. Comparison of the influence factors onNDVI for CCD camera and WFI imager on CBERS-02. Sci. China Ser. E-Technol. Sci. 48 (Suppl 2), 100–115 (2005). https://doi.org/10.1007/BF03039428
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DOI: https://doi.org/10.1007/BF03039428