Since 2002

              Remote Sensing and Aerial Survey

Our applications and projects are

Remote Sensing
Aerial Survey
Terrain analysis
Climate Change


54 B.B. Building
Fl.8th, Suite 3826, Soi Sukhumvit 21 (Asoke),
Khlong Toei Nuea,
Wattana, Bangkok 10110 Thailand.
Tel. +66-259-0057


Multi-temporal LiDAR (light detection and ranging) data have provided the opportunity to detect changes in the topography and landscape at resolutions previously not possible. Multi-temporal LiDAR change detection analysis requires data sets to be spatially co-registered. The co-registration is ideally performed using the LiDAR point clouds for each flightline rather than LiDAR-derived rasters to avoid propagation of flightline co-registration errors. A slope-based surface matching of the LiDAR point cloud was previously used to improve the relative accuracy of overlapping flightlines. The slope-based matching method employs the slope of the elevation data to determine the spatial offset between the overlapping surfaces. We extend this technique to further improve the co-registration of the multi-temporal LiDAR data to an accuracy that is applicable for fine-scale change detection. Flightlines are co-registered, first with adjacent flightlines, and then with overlapping flightlines from data collected at different times. The co-registered flightlines are combined to perform change analysis. We evaluate our results using several case studies, ranging from landscape change due to fire, landslides, and disaster managements.

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