Abstract
For studies and applications based on Moderate Resolution Imaging Spectroradiometer (MODIS) products with sinusoidal (SIN) projection, reprojection often is required. But this process can be time-consuming. To accelerate this procedure, this study proposes a practical fast reprojection method that includes 3 major features. (1) Only pixels in target projection space that have corresponding points in MODIS products (“effective pixels”) are further processed. (2) Tags of effective pixels and their corresponding points in MODIS products are retrieved and stored by 1-dimensional (1-D) index of image matrix rather than 2-dimensional subscripts. (3) Pixel values in target images are assigned from MODIS products in bulk rather than in a loop procedure that assigns pixels one by one. In a comparative analysis, the proposed method performs better than the other three tested methods. Based on these improvements, use of prestored 1-D indices of corresponding pixel pairs significantly speeds reprojection. It therefore shows the potential for batch processing of large volume of MODIS products with a SIN projection in reasonable time.
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References
Anaya, J., Colditz, R., & Valencia, G. (2015). Land cover mapping of a tropical region by integrating multi-year data into an annual time series. Remote Sensing, 7(12), 16274–16292.
Cammalleri, C., & Vogt, J. (2015). On the role of land surface temperature as proxy of soil moisture status for drought monitoring in Europe. Remote Sensing, 7(12), 16849–16864.
Crawford, C. J. (2015). MODIS terra collection 6 fractional snow cover validation in mountainous terrain during spring snowmelt using Landsat TM and ETM+. Hydrological Processes, 29(1), 128–138. https://doi.org/10.1002/hyp.10134.
Dwyer, J., & Schmidt, G. (2006). The MODIS reprojection tool. In J. J. Qu, W. Gao, M. Kafatos, R. E. Murphy, & V. V. Salomonson (Eds.), Earth science satellite remote sensing: Data, computational processing, and tools (Vol. 2, pp. 162–177). Berlin: Springer.
Khlopenkov, K. V., & Trishchenko, A. P. (2008). Implementation and evaluation of concurrent gradient search method for reprojection of modis level 1b imagery. IEEE Transactions on Geoscience and Remote Sensing, 46(7), 2016–2027.
Li, J., Chen, S., Wang, Y., & Yu, Y. (2017). Accurate spatial co-registration of multi-angle multi-source remotely sensed data based on self-defined map grid. Acta Optica Sinica, 37(5), 0528002-1–0528002-9.
Neteler, M. (2010). Estimating daily land surface temperatures in mountainous environments by reconstructed modis lst data. Remote Sensing, 2(1), 333–351.
NASA Goddard Space Flight Center. (2016). MODLAND sinusoidal grid. http://modis-land.gsfc.nasa.gov/GCTP.html. Accessed 09 June 2017.
Roy, D. P., Li, J., Zhang, H. K., & Yan, L. (2016). Best practices for the reprojection and resampling of sentinel-2 multi spectral instrument level 1C data. Remote Sensing Letters, 7(11), 1023–1032.
Seong, J. C., Mulcahy, K. A., & Usery, E. L. (2002). The sinusoidal projection: A new importance in relation to global image data. Professional Geographer, 54(2), 218–225.
USGS (U.S. Geological Survey), National Mapping Division. (1994). GCTP General Cartographic Transformation Package Software Documentation.
Vannan, S. K. S., Cook, R. B., Holladay, S. K., Olsen, L. M., Dadi, U., & Wilson, B. E. (2009). A web-based subsetting service for regional scale modis land products. IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing, 2(4), 319–328.
Wan, H. W., Wang, J. D., Liang, S. L., & Qin, J. (2009). Estimating leaf area index by fusing MODIS and MISR data. Spectroscopy and Spectral Analysis, 29(11), 3106–3111.
White, D. (2006). Display of pixel loss and replication in reprojecting raster data from the sinusoidal projection. Geocarto International, 21(2), 19–22.
Acknowledgements
This research is funded by the Program for New Century Excellent Talents in University of the Ministry of Education, China (Grant NCET-07-0353) and the Province-University Co-construction Special Project of Jilin Province, China: R&D and demonstration of application technology of satellite remote sensing in crop planting structure adjustment.
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Li, J., Chen, S., Qin, W. et al. A Fast Reprojection Method for MODIS Products with Sinusoidal Projection. J Indian Soc Remote Sens 46, 1563–1567 (2018). https://doi.org/10.1007/s12524-018-0794-y
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DOI: https://doi.org/10.1007/s12524-018-0794-y