참고문헌
- Duchemin, B., and P. Maisongrande, 2002. Normalization of directional effects in 10-day global syntheses derived from VEGETATION/SPOT: 1. Investigation of concepts based on simulation, Remote Sensing of Environment, 81: 90-100. https://doi.org/10.1016/S0034-4257(01)00336-4
- Duchemin, B., B. Berthelot, G. Dedieu, M. Leroy, and P. Maisongrande, 2002. Normalization of directional effects in 10-day global syntheses derived from VEGETATION/SPOT: 2. Validation of an operational method on actual data sets, Remote Sensing of Environment, 81: 101-113. https://doi.org/10.1016/S0034-4257(01)00337-6
- Kim, S.I., K.-S. Han, K.-J. Pi, 2011. The Trend Analysis of Vegetation Change Applied to Unsupervised Classification Over East Asia: Using the NDVI 10-day data in 1999-2010, The Korean Society for Geo Spatial Information System, 19(4): 153-159 (in Korean with English abstract).
- Geo, F., X. Li, A. Strahler, and C. Schaaf, 2000. Evaluation of the Li transit kernel for BRDF modeling. Remote Sensing Reviews, 19(1-4): 205-224. https://doi.org/10.1080/02757250009532419
- Hu, B., W. Lucht, X. Li, and A.H. Strahler, 1997. Validation of Kernel-Driven Semiempirical Models for the Surface Bidirectional Reflectance Distribution Function of Land Surfaces, Remote Sensing of Environment, 62: 201-214. https://doi.org/10.1016/S0034-4257(97)00082-5
- Lucht, W., C.B. Schaaf, A.H. Strahler, 2000, An algorithm for the retrieval of albedo from space using semiempirical BRDF models, IEEE Transactions on Geoscience and Remote Sensing, 38(2): 977-998. https://doi.org/10.1109/36.841980
- Lucht, W., and J.-L. Roujean, 2000. Considerations in the Parametric Modeling of BRDF and Albedo from Multiangular Satellite Sensor Observations, Remote Sensing Reviews, 18: 343-379. https://doi.org/10.1080/02757250009532395
- Rahman, H., and G. Dedieu, 1994. SMAC: a simplified method for the atmospheric correction of satellite measurements in the solar spectrum. International Journal of Remote Sensing, 15(1): 123-143. https://doi.org/10.1080/01431169408954055
- Ross, J.K., 1981. The Radiation Regime and Architecture of Plaint Stands, Dr. W. Junk Publishers, The Hague, p. 392.
- Roujean, J.L., D. Tanré, F.-M. Breon, and J.-L. Deuze, 1997. Retrieval of land surface parameters from airborne POLDER bidirectional reflectance distribution function during HAPEX-Sahel, Journal of Geophysical Research, 97(D10): 11201-11218.
- Roujean, J.L., M. Leroy, and P.Y. Deschamps, 1992. A bidirectional reflectance model of the Earth's surface for the correction of remote sensing data, Journal of Geophysical Research, 97 (D18): 20455-20468. https://doi.org/10.1029/92JD01411
- Park, E.-B., K.-S. Han, C.-S. Lee, and K.-J. Pi, 2012. The Tendency Analysis of Albedo by Land Cover Over Northeast Asia Using MODIS 16- Day Composited Albedo data, Korean Journal of Remote Sensing, 28(5): 501-508 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2012.28.5.3
- Pi, K.-J., K.-S. Han, and S.-J. Park, 2009. A Comparative Analysis of Land Cover Changes Among Different Source Regions of Dust Emission in East Asia: Gobi Desert and Manchuria, Korean Journal of Remote Sensing, 25(2): 175-184 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2009.25.2.175
- Pokrovsky, O., and J.-L. Roujean, 2002. Land surface albedo retrieval via kernel-based BRDF modeling: 1. Statistical inversion method and model comparison, Remote Sensing of Environment, 84: 100-119.
- Saing, G., 1994, "VEGETATION" onboard SPOT 4 MISSION SPECIFICATIONS Version 3, p 32.
- Verbeiren, S., 2009, GMES Space Component Data Access(GSC-DA) Instrument/Product specifications, VITO, p42.
- Wanner, W., X. Li and A.H. Strahler, 1995. On the derivation of kernels for kernel-driven models of bidirectional reflectance. Journal of Geophysical Research, 100(D10): 21077-21089. https://doi.org/10.1029/95JD02371
피인용 문헌
- Retrieval Spectral Albedo using red and NIR band of SPOT/VGT vol.30, pp.3, 2014, https://doi.org/10.7780/kjrs.2014.30.3.3
- Surface albedo from the geostationary Communication, Ocean and Meteorological Satellite (COMS)/Meteorological Imager (MI) observation system vol.55, pp.1, 2018, https://doi.org/10.1080/15481603.2017.1360578