Blending ultra-high resolution optical sensor and lidar data to identify mobile living creatures

The urban environment are characterized by various materials and land cover surfaces than found in common scenes. Data gotten from satellite imagery has been used to map the detail of urban environment. However, there is very limited scientific documentation on the identification procedure of living creatures in urban areas till date. This study describes the small scale geometric properties (i.e., human) based-on blending ultrahigh resolution optical and LIDAR data. We additionally illustrated how new remote detecting innovations can enhance our capacities to outline regions in ultra-high spatial and portioned detail. The result appears promising for detecting mobile living creatures. This study used only the Free and Open Source Software (FOSS) to promote FOSS in urban remote sensing studies.