The Sinusoidal Projection: A New Importance in Relation to Global Image Data

Abstract

The reprojection of image data causes the loss or duplication of original pixel values. This research investigated the feasibility of using the sinusoidal projection for global image database construction. Specifically, reprojection accuracies were tested with geographic latitude and longitude coordinates, and the Hammer-Aitoff, Eckert IV, Mollweide, and sinusoidal projections. Reprojections between these five global projections and the Universal Transverse Mercator (UTM) projection and referencing system were performed using fifty-four sample datasets. A statistical analysis of categorical accuracy, a measure describing the omission of pixel values during reprojection, was conducted. Geographic coordinates and the sinusoidal projection both showed very high accuracy rates (100.0 percent and 99.5 percent respectively) when sample datasets were reprojected from UTM. The geographic coordinates, however, showed very low accuracy (65.3 percent) when sample datasets were reprojected to the UTM projection, while the sinusoidal projection showed the highest accuracy (98.4 percent). The results strongly suggest that the sinusoidal projection is very accurate and efficient for building global image databases.

Assessing Consistency of Five Global Land Cover Data Sets in China

“…To facilitate comparison, these data sets were co-registered and reprojected to the Sinusoidal projection [47] with map datum WGS_84, which is a pseudocylindrical equal-area map projection and has been widely used in the MODIS products; and then were rescaled to 1 km spatial resolution with the same coverage extent (180°W-180°E, 55°S-90°N). Because Antarctica is excluded by several global land cover data sets (e.g., GLC2000), it is not included in data processing.…”

Global distributions of Fe, Al, Cu, and Zn contained in Earth's derma layers

“…ESRI's ArcINFO was utilized for calculations, mapping, and analysis. The sinusoidal equal area projection is utilized for map algebra calculations and final maps, as evidence suggests that the sinusoidal projection minimizes distortions in pixel values when undergoing transformations to or from other projections (Seong et al, 2002).…”

Comparison of FOSS4G Supported Equal-Area Projections Using Discrete Distortion Indicatrices

“…There are few studies in the literature reporting software based comparisons of map projections, especially when considering the global scale. The study conducted by Seong et al [6] is possibly the closest to address this question. However, these authors were primarily concerned with the loss and replication of cell values in categorical rasters when re-projected.…”