A Fast Reprojection Method for MODIS Products with Sinusoidal Projection
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RESEARCH ARTICLE
A Fast Reprojection Method for MODIS Products with Sinusoidal Projection Jian Li1
•
Shengbo Chen1 • Wenhan Qin1 • Juliana Useya1,2 • Zhijun Zhen1 • Yufei Wang3
Received: 19 October 2017 / Accepted: 20 June 2018 Indian Society of Remote Sensing 2018
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. Keywords MODIS product reprojection Sinusoidal projection 1-Dimension matrix index
Introduction The sinusoidal (SIN) projection is a superior planar projection for expressing global remote sensing products (Seong et al. 2002; White 2006; Roy et al. 2016). It is usually found in fine resolution images (250, 500 m and 1 km) of the Moderate Resolution Imaging Spectroradiometer (MODIS) land products (Neteler 2010; Cammalleri and Vogt 2015; NASA GSFC 2016). However, to study and apply MODIS products in the SIN projection, reprojection to other more common projections is often required (Khlopenkov and Trishchenko 2008; Wan et al. 2009; Crawford 2015). To this end, several commercial & Jian Li [email protected] Shengbo Chen [email protected] 1
College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China
2
Faculty of Engineering, Geoinformatics and Surveying, University of Zimbabwe, Harare, Zimbabwe
3
Climate Center of Jilin Province, Changchun 130062, China
software and standard tool packages such as ENVI, HDFEOS to GeoTIFF Conversion Tool (HEG) and MODIS Reprojection Tool (MRT) are available (Dwyer and Schmidt 2006; Vannan et al. 2009; Anaya et al. 2015). Although these software or packages have friendly graphic user interfaces and are universal, they are not optimised to process SIN projection MODIS products that have large distortions especially in high-latitude regions. For large areas requiring a full tile of the MODIS product with SIN projection, existing reprojection processes can be very time consuming. This research develops a practical method that, by considering the large
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