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The present study aimed to compare the maps of slope obtained in 1997 in the Geographic Information System (GIS, SGI/INPE), with the declivity maps generated in 2014 in the Georeferenced Information Processing System (SPRING). The input data from the testing areas, topographic maps and Shuttle Radar Topography Mission (SRTM) images were stored in SPRING databases. The test areas were built with well-defined isolines concerning the horizontal spacing between the contour lines. The Interpolation methods analyzed were: Weighted Mean/Elevation/Quadrant, Weighted Mean/Quadrant, Weighted Mean, Simple Mean, Nearest Neighbor, Linear and Quintic Surface with breaklines. All these methods were used to draw rectangular grids with 1mx1m spatial resolution. In order to obtain the Triangulated Irregular Network (TIN) grid, the interpolations used were Delaunay, lower angle and isolines. Out of these methods, we selected the TIN grid with Delaunay interpolator which allowed the generation slope image with spatial resolution of1m. This image was sliced according to slope classes generating digital declivity maps. Next, we established statistical procedures, indexes of Percentage of Accuracy (PA) and indexes of Percentage of Total Accuracy (PAT)) for the evaluation of the classes of slope and declivity areas obtained in the two periods. We concluded that the results were on average10% higher for areas classified as plan relief and over 100% higher for areas of corrugated and mountainous relief. The input data from topographic maps

Evaluation of GIS techniques in digital terrain model with temporal data: an approach based in the slope of the land surface