Abstract
Land surface albedo (LSA) is an important parameter in surface-energy budget studies and process-based models. Availability of LSA on a continental scale from the geostationary platform can be very useful in various applications and modelling activities. A study has been carried out to develop a narrow to broadband albedo conversion algorithm for estimating broadband LSA over India and surrounding from INSAT-3D (I3D) Imager observations. An atmospheric radiative transfer model was used to simulate the at-sensor reflectivity corresponding to two spectral bands of I3D Imager located in visible (0.55–0.75 μm) as well as shortwave infrared (1.55–1.70 μm) regions and a shortwave broadband spectral region (0.40–2.5 μm) for diverse land-atmospheric characteristics by assuming the surfaces as Lambertian targets. Then a mathematical relationship between reflectivity of two Imager bands and a shortwave broadband was developed based upon radiative transfer model simulation results, which yielded narrow-to-broadband conversion coefficients. A separate set of narrow to broadband conversion coefficients for major land covers were generated for I3D Imager sensor. Using the proposed method and coefficients, broadband LSA maps were generated over India and surrounding regions. Daily and 15-Day composite LSA products have also been successfully generated on continental scale. The broadband LSA derived from I3D captured the albedo range successfully for various land covers, including water (0.03–0.07), desert (0.30–0.55), crop (0.12–0.18), forest (0.11–0.17), soil (0.09–0.26) and snow (0.41–0.65). Comparison of I3D-derived LSA by the proposed algorithm with the Moderate Resolution Imaging Spectroradiometer (MODIS) albedo product showed a very good match (R2=0.88 and root mean square error, RMSE=0.046). The proposed algorithm is being successfully used for operational retrieval of Daily and 15-Day composite LSA on Indian Space Research Organisation’s MOSDAC (Meteorological and Oceanographic Data Archival Centre) and India Meteorology Department’s IMDPS (IMD Processing System) sites.
Similar content being viewed by others
Change history
19 July 2021
A Correction to this paper has been published: https://doi.org/10.1007/s12524-021-01393-8
References
Borbas, E., Seemann, S.W., Huang, H.-L., Li, J., Menzel, W.P., (2005). Global profile training database for satellite regression retrievals with estimates of skin temperature and emissivity. In Proceeding international ATOVS study conference-XIV, Beijing, China, 25–31 May 2005, pp. 763–770.
Brest, C., & Goward, S. (1987). Deriving surface albedo measurements from narrow band satellite data. International Journal of Remote Sensing, 8, 351–367
Dickinson, R. E. (1983). Land surface processes and climate surface albedos and energy balance. Advances in Geophysics, 25, 305–353
Dickinson, R. E. (1995). Land processes in climate models. Remote Sensing of Environment, 51, 27–38
Diner, D. J., Beckert, J. C., Reilly, T. H., & Bruegge, C .J. (1998). Multiangle Imaging Spectroradiometer (MISR) description and experiment overview. IEEE Transactions on Geoscience and Remote Sensing, 36, 1072–1087
Duguay, C. R., & Ledrew, E. F. (1992). Estimating surface reflectance and albedo from Landsat-5 thematic mapper over rugged terrain. Photogrammetric Engineering and Remote Sensing, 58, 551–558
Geiger, B., Carrer, D., Franchisteguy, L., Roujean, J. L., & Meurey, C. (2008). Land surface albedo derived on a daily basis from Meteosat Second Generation observations. IEEE Transactions on Geoscience and Remote Sensing, 46, 3841–3856
Hartmann, D. L., Bretherrton, C. S., Charlock, T. P., Chou, M. D., Genio, A., Del, Dickinson R. E., Fu, R., Houze, R. A., King, M. D., Lau, K. M., Leovy, C. B., Sorooshian, S., Washburne, J., Wielicki, B., & Willson, R. C. (1999). Radiation, clouds, water vapor, precipitation, and atmospheric circulation, in EOS Science Plan. Greenbelt, MD: NASA, 1999, 39–114
Knap, W. H., Brock, B. W., Oerlemans, J., & Willis, I. C. (1999). Comparison of Landsat TM-derived and ground-based albedos of Haut Glacier D’arolla Switzerland. International Journal of Remote Sensing, 20, 3293–3310
Leroy, M., Deuze, J. L., Breon, F. M., Hautecoeur, O., Herman, M., Buriez, J. C., et al. (1997). Retrieval of atmospheric properties and surface bidirectional reflectances over land from POLDER/ADEOS. Journal of Geophysical Research-Atmospheres, 102, 17023–17037
Liang, S. (2001). Narrowband to broadband conversions of land surface albedo I: Algorithms. Remote Sensing of Environment, 76, 213–238
Liang, S. (2003). A direct algorithm for estimating land surface broadband albedos from MODIS imagery. IEEE Transactions on Geoscience and Remote Sensing, 41, 136–145
Liang, S., Fang, H., Kaul, M., Tom, G., Niel, Van, McVicar, T. R., Pearlman, J. S., Walthall, C. L., Daughtry, C. S. T., & Huemmrich, K. F. (2003). Estimation and Validation of Land Surface Broadband Albedos and Leaf Area Index From EO-1 ALI Data. IEEE Transactions on Geoscience and Remote Sensing, 41, 1260–1267
Liang, S. (2004). (2004), Quantitative Remote Sensing of Land Surfaces. Wiley.
Liang, S., Shuey, C., Russ, A., Fang, H., Chen, M., Walthall, C., Daughtry, C., & Hunt, R. (2003). Narrowband to broadband conversions of land surface albedo: II Validation. Remote Sensing of Environment, 84, 25–41
Liang, S., Strahler, A., & Walthall, C. (1999). Retrieval of land surface albedo from satellite observations: A simulation study. Journal of Applied Meteorology, 38, 712–725
Liang, S., Stroeve, J., & Box, J. E. (2005). Mapping daily snow/ice shortwave broadband albedo from Moderate Resolution Imaging Spectroradiometer (MODIS): The improved direct retrieval algorithm and validation with Greenland in situ measurement. Journal of Geophysical Research, 110, D10109
Liu, Q., Qu, Y., He, T., & Zhang, X. (2012). Broadband Albedo. Advanced Remote Sensing. Chapter. https://doi.org/10.1016/B978-0-12-385954-9.00007-1
Lucht, W., Schaaf, C. B., & Strahler, A. H. (2000). An algorithm for the retrieval of albedo from space using semiempirical BRDF models. IEEE Transactions on Geoscience and Remote Sensing, 38, 977–998
Pinker, R. T. (1985). Determination of surface albedo from satellite. Advances in Space Research, 5, 333–343
Pinty, B., Roveda, F., Verstraete, M. M., Gobron, N., Govaerts, Y., Martonchik, J. V., et al. (2000). Surface albedo retrieval from Meteosat — 1 Theory. Journal of Geophysical Research-Atmospheres, 105, 18099–18112
Qu, Y., Liang, S., Liu, Q., He, T., Liu, S., & Li, X. (2015). Mapping surface broadband albedo from satellite observations: a review of literatures on algorithms and products. Remote Sensing., 7, 990–1020
Russell, M. J., Nunez, M., Chladil, M. A., Valiente, J. A., & LopezBaeza, E. (1997). Conversion of nadir, narrowband reflectance in red and near-infrared bands to hemispherical surface albedo. Remote Sensing of Environment, 61, 16–23
Rutan D., Charlock T., Rose F., Kato S., Zentz, S., Coleman L. (2006) Global surface albedo from CERES/TERRA surface and atmospheric radiation budget (SARB) data product, In Proceedings of 12th Conference Atmospheric Radiation., pp. 10–44.
Saunders, R. W. (1990). The determination of broad band surface albedo from AVHRR visible and near-infrared radiances. International Journal of Remote Sensing, 11, 49–67
Schaaf, C. B., Gao, F., Strahle, A. H., Lucht, W., Li, X. W., Tsang, T., et al. (2002). First operational BRDF, albedo nadir reflectance products from MODIS. Remote Sensing of Environment, 83, 135–148
Strahler, A.H., Muller, J., Lucht, W., Schaaf, C., Tsang, T., Gao, F., Li, X., Lewis, P., & Barnsley, M.J. (1999). MODIS BRDF/Albedo product: Algorithm theoretical basis document version 5.0. MODIS Documnent, 23, 42–47
Strugnell, N.C., & Lucht, W. (2001). An algorithm to infer continental-scale albedo from AVHRR data, land cover class, and field observations of typical BRDFs. Journal of Climate, 14(7), 1360–1376
Valiente, J. A., Nunez, M., Lopezbaeza, E., & Moreno, J. F. (1995). Narrow-band to broad-band conversion for Meteosat-visiible band and broad-band albedo using both AVHRR-1 and-2 bands. International Journal of Remote Sensing, 16, 1147–1166
Vermote, E. F., Tanré, D., Deuzé, J. L., Herman, M., Morcrette, J. J., Kotchenova, S. Y., & Miura, T. (2006). Second Simulation of the Satellite Signal in the Solar Spectrum (6S), 6S User Guide Version 3 (November, 2006)
Acknowledgment
This study has been carried out as part of “INSAT-3D/3DR Utilization Project and GISAT pre-launch Activities of SAC-ISRO”. Authors would like to thank Shri Nilesh Desai, Director, Space Applications Centre (SAC) for providing us the opportunity and support to carry out this study. Authors acknowledge Dr. B. K. Bhattacharya, Group Director, BPSG/EPSA, SAC for support to the study.
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Pandya, M.R., Pathak, V., Kaushik, N. et al. Algorithm for the Estimation of Continental Scale Land-Surface Broadband Albedo from INSAT-3D Imager Data. J Indian Soc Remote Sens 49, 2093–2102 (2021). https://doi.org/10.1007/s12524-021-01371-0
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12524-021-01371-0