A new feature-level fusion is presented for modelling individual trees by applying watershed segmentation and subsequent classification, using tree heights and tree crown signatures derived from light detection and ranging (lidar) data and multispectral imagery. The study area is part of the Moira State Forest, New South Wales, Australia where the dominant tree species are native eucalypts. In ...

The purpose of this study is to approximate the stream function and temperature distribution of the MHD flow in a laminar liquid film from a horizontal stretching surface. In this paper DTM-Padé method was used which is a combination of differential transform method DTM and Padé approximant. The DTM solutions are only valid for small values of independent variables. Comparison between the solut...

UAV platforms are nowadays a valuable source of data for inspection, surveillance, mapping and 3D modeling issues. New applications in the shortand close-range domain are introduced, being the UAVs a low-cost alternatives to the classical manned aerial photogrammetry. Rotary or fixed wing UAVs, capable of performing the photogrammetric data acquisition with amateur or SLR digital cameras, can f...

Estimating the height of buildings and vegetation in single aerial images is a challenging problem. A task-focused Deep Learning (DL) model that combines architectural features from successful DL models (U-NET Residual Networks) learns mapping imagery to normalized Digital Surface Model (nDSM) was proposed. The trained on whose corresponding DSM Terrain Models (DTM) were available then used inf...

Distinguishing vegetation characteristics in a terrestrial laser scanner dataset is an interesting issue for environmental assessment. Methods for filtering vegetation points to distinguish them from ground class have been widely studied mostly on datasets derived from airborne laser scanner, less so for terrestrial laser scanners (TLS). Recent developments in terrestrial laser sensors – furthe...

Individual points produced by airborne laser scanning (ALS) may have large variation in their accuracy, a fact that is often omitted in the subsequent derivation of digital terrain models. The accuracy of a single point is governed by three main factors: First, the errors due to the direct georeferencing of the laser beam; second, the measurement errors of the laser itself; third, the variation...

Dynamic traffic management (DTM) measures are potentially powerful measures to not only improve network efficiency, but also to reduce externalities of traffic (e.g. emissions of substances, noise and safety). In current practice the deployment of DTM measures (or DTM-strategies) focuses on improving efficiency on a local level. Further the assessment of DTM is concerned with a number of predef...

The paper describes a number of methods for fast DTM generation, processing and merging implemented in the new powerful PC-based photogrammetric system Z-Space, which is specially optimized for TK-350 imagery. The particularity of DTM processing for TK-350 imagery consists in large amount of DTM points; it is usually equal to tens millions. The developed DTM generation method uses terrain and i...

Marshes are ubiquitous landforms in estuaries and lagoons, where important hydrological, morphological and ecological processes take place. These areas attenuate sea action on the coast and act as sediment trapping zones. Due to their ecosystem functions and effects on coastal stabilization, marshes are crucial structures in tidal environments, both biologically and geomorphologically, and fund...