This study investigated the potential of fusing low laser-sampling density LiDAR data with QuickBird panchromatic imagery for estimating stand volumes. The study area was in closed-canopy, mountainous Japanese cedar (Cryptomeria japonica) plantations in Japan. Stand volume in the area ranged from 250.5 to 913.1 m/ha and terrain was undulating with an elevation ranging from 135 to 391 m above se...

Many satellite systems take cover images like QuickBird for terrain so that these scan be used to construct 3D models likes Triangulated Irregular Network (TIN), and Digital Elevation Model (DEM). This paper presents a production of TIN Al-Karkh University Science in Baghdad - Iraq using image data with pixel resolution 0.6 m. The recent generations high-resolution imaging open new era digital ...

The L’Aquila earthquake of magnitude 5.8 occurred on April 6, 2009 in the central Abruzzo region of Italy, causing widespread damage. More than 300 people lost their lives and property worth more than 2,500 million dollars was damaged. We analyze the high-resolution Synthetic Radar Aperture (SAR) imageries from TerraSAR-X along with high-resolution QuickBird optical images for the building dama...

The aim of the study is to develop automatic procedures for the identification of urbanized and not urbanized areas using high spatial resolution remote sensing data. We examine the potential of panchromatic and multispectral Quickbird images for the classification of different urban areas in the Province of Milan (Italy). Satellite data were initially pre-processed by using an orthorectificati...

This paper presents an automatic system for generating multi-scale colour 3D satellite images and dynamic visualization of 3D images through the Internet. Medium-resolution satellite images such as Landsat 7 and high-resolution satellite images such as Ikonos or QuickBird are the data sources for the multi-scale 3D images. New image fusion, colour enhancement and stereoscopy algorithms are deve...

The correct georeferencing of remote sensing imagery is a fundamental task in the photogrammetric processing for orthoimages, DEM/DSM generation and 3D features extraction. In this paper we focus on the georeferencing of pushbroom sensors imagery with rigorous model, that is the well known approach based on the collinearity equations. In particular, we developed, implemented and tested a rigoro...