Forest height is an essential parameter used to derive important information about forest ecosystems, such as above-ground biomass. In this article, a estimation approach combining P-band and X-band interferometric synthetic aperture radar (InSAR) was introduced. The estimated using the difference in penetration of long- short-wavelength radars forest. That is, InSAR data were extract digital t...

In this work, we focus on the extraction of man-made structures, especially buildings, by combining information from aerial images and Lidar data. We applied four different methods on a dataset located at Zurich Airport, Switzerland. The first method is based on DSM/DTM comparison in combination with NDVI analysis; the second one is a supervised multispectral classification refined with height ...

Airborne laser scanning (ALS), often referred to as lidar or laser altimetry, is a remote sensing technique which was originally designed to measure the topography of the Earth’s surface. While the first commercially available airborne laser scanners recorded only the time of one backscattered pulse, state-of-the-art systems record several echoes for each emitted laser pulse. Thereby a 3D data ...

This paper proposes an automatic system which detects buildings in urban and rural areas by the use of first pulse return and last pulse return LIDAR data. Initially both first and last pulse return points are interpolated to raster images. This results to two Digital Surface Models (i.e. DSM) and a differential DSM (i.e. DDSM) is computed by them. Then using a height criterion, rough and smoot...

Urban building information can be effectively extracted by applying object-based image segmentation and multi-stage thresholding on High Resolution (HR) remote sensing satellite imageries. This study provides the results obtained using this method images of Indian satellite, CARTOSAT-2S launched Space Research Organization (ISRO). In study, a is developed to extract urban footprints from HR ima...

Differencing between green cover and grape canopy is a challenge for vigour status evaluation in viticulture. This paper presents the acquisition methodology of very high-resolution images (4 cm), using a Sensefly Swinglet CAM unmanned aerial vehicle (UAV) and their processing to construct a 3D digital surface model (DSM) for the creation of precise digital terrain models (DTM). The DTM was obt...

Recent Digital Surface, Elevation, and Bathymetric Models (DSM/DEM/DBM) aim to provide high-resolution accurate height depth information needed for a variety of surveying, geodetic, geophysical, other applications. In this study, first we validate in two test areas some the most used models, i.e., ASTER GDEM; AW3D30 DSM; Copernicus DEM; EU-DEM; GEBCO 2020; NASADEM HGT; SRTM15+ SRTM Global, usin...

A novel method to map and quantitatively describe very gentle folds (limb dip <5°) at cratonic cave sites was evaluated Snail Shell Nanna caves, central Tennessee, USA. Elevations from the global SRTM digital terrain model (DTM) were assigned points on late Ordovician geologic contacts, elevations of used interpolate 28 m cell size natural neighbor elevation models (DEM’s) contacts. The Fore...

The objective of this study was to estimate poppy plant height and capsule volume with remote sensing using an Unmanned Aircraft System (UAS). Data were obtained from field measurements and UAS flights over two poppy crops at Cambridge and Cressy in Tasmania. Imagery acquired from the UAS was used to produce dense point clouds using structure from motion (SfM) and multi-view stereopsis (MVS) te...

The automatic generation of digital surface models (DSM) of urban areas from high and very high resolution (VHR) stereo data from satellites is still a research issue. Image matching algorithms from computer vision have been introduced and adopted to satellite imagery in recent years. These algorithms do not work using local optimisation like area based matching but try to optimize a global cos...