scholarly journals Possibilities of use of remote sensing technology in survey process in the territory of Pils island in Jelgava

2018 ◽  
Vol 9 ◽  
pp. 16-23
Author(s):  
Armands Celms ◽  
Vivita Pukite ◽  
Ilona Reke ◽  
Jolanta Luksa
Keyword(s):  
Remote Sensing ◽  
Surface Relief ◽  
Laser Scanning ◽  
Unmanned Aircraft ◽  
3D Surface ◽  
Sensing Technology ◽  
Surface Models ◽  
Product Surface ◽  
Evaluation Of Data ◽  
Aircraft Data

In the study, creation of 3D surface relief model in Jelgava, for southern part of the Castle Island is depicted. Information about remote sensing, its historical development, as well as directions of remote sensing, development of photogrammetry and laser scanning is summarized and analysed. Principles of work and methods of photogrammetry and laser scanning. Information about creation of surface relief model from planning of unmanned aircraft, data capture and alignment to the end product – surface relief model. Application of evaluation of data obtained. The purpose of the study – to create 3D surface relief model in Jelgava, for the southern part of the Castle Island. Tasks of the study – to consider development and improvement of photogrammetry and its processes, as well as development of laser scanning and principles of its work; to research, analyse and describe technological processes of laser scanning; to create 3D surface relief model in Jelgava, for the southern part of the Castle Island; to perform comparison of surface models obtained and describe application of laser scanning. Preparation of surface relief model is time-consuming process, which includes flight planning and preparation of end-product. End-products obtained in data processing of laser scanning have very broad usage in many sectors related to geodesy and construction.

Digital Building-Height Preparation from Satellite Stereo Images

2021 ◽  
Vol 87 (8) ◽  
pp. 557-566
Author(s):  
P.S. Prakash ◽  
Bharath H. Aithal
Keyword(s):  
Laser Scanning ◽  
Vital Role ◽  
Urban Setting ◽  
Data Generation ◽  
Stereo Images ◽  
Acceptable Error ◽  
Sensing Technology ◽  
Macro Scale ◽  
Surface Models ◽  
Building Level

Buildings are considered prominent objects for understanding the pattern of growth in an urban setting. Remote sensing technology plays a vital role in facilitating data generation pertaining to various urban applications. Digital surface models represent the elevation of the earth surface features, and can be obtained from stereo images, radar, laser scanning, and so on. Photogrammetric techniques applied to optical stereo satellite images are economical and fast ways to generate height information of buildings. In this work, a quantitative and qualitative analysis of digital surface models generated from Cartosat-1 stereo images is compared with openly available data. The study finds that it is possible to acquire about 50 percent of building heights with acceptable error limits. The experimental results indicate that the quality of height information is suitable for applications to assess urban development at a macro scale, but not for individual building-level modeling.

scholarly journals Eyes in the Sky: Remote Sensing Technology Development Using Small Unmanned Aircraft Systems

2013 ◽  
Vol 111 (5) ◽  
pp. 341-347 ◽  
Author(s):  
Michael G. Wing ◽  
Jonathan Burnett ◽  
John Sessions ◽  
Josh Brungardt ◽  
Vic Cordell ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Technology Development ◽  
Unmanned Aircraft ◽  
Unmanned Aircraft Systems ◽  
Remote Sensing Technology ◽  
Aircraft Systems ◽  
Sensing Technology

Data Acquisition Considering of Fixed-Wing UAVs in Mountainous Areas

2014 ◽  
Vol 543-547 ◽  
pp. 2151-2154
Author(s):  
Ling Li Zhao ◽  
Shuai Liu ◽  
Li Ma
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Data Acquisition ◽  
Remote Sensing Data ◽  
Landing Site ◽  
Unmanned Aircraft ◽  
Military Operations ◽  
The Past ◽  
Sensing System ◽  
Sensing Technology

Over the past decade, there has been a great demand of Unmanned Aerial Vehicles (UAVs) in numerous industrial and military operations around the world. This paper is focused on low fixed-wing UAV remote sensing system, put remote sensing technology and UAV technology closely to fixed-wing unmanned aircraft as a platform, which is equipped with high-resolution digital remote sensing sensors, it has easy transition since the airport does not depend on landing site, it is a new low-speed high-resolution remote sensing data acquisition system. It has capability of a survey of real-time quick monitoring, and has been an effective complement to conventional means for satellite remote sensing and aerial photography.

scholarly journals Remote Sensing Using Unmanned Aerial Vehicles for Tourist-Recreation Lake Evaluation and Development

2019 ◽  
Vol 38 (1) ◽  
pp. 5-14 ◽  
Author(s):  
Grzegorz Borkowski ◽  
Adam Młynarczyk
Keyword(s):  
Remote Sensing ◽  
Unmanned Aerial Vehicles ◽  
Research Methods ◽  
Unmanned Aircraft ◽  
Water Research ◽  
Aerial Vehicles ◽  
Surface Models ◽  
Lake Systems ◽  
Remote Sensing Methods ◽  
Research Show

Abstract This article concerns the use of remote sensing methods to assess the potential of tourism and recreation of lakes by using unmanned aerial vehicles as a tool that offers new measurement possibilities in such difficult areas to research as river and lake systems. For the purpose of the study, air surveys over three lakes used for tourism and recreation purposes were planned and carried out. These were the following lakes: Swarzędzkie, Wolsztyńskie and Zbąszyńskie located in western Poland. The photos were taken with a RGB and a multispectral cameras. On the basis of calculated orthophotomaps and digital surface models, anthropogenic and natural values were assessed. The examples of the research show the versatile possibilities of using drones dependent on the type sensor used. Remote sensing performed from the deck of an unmanned aircraft is widely used in the study of lakes and is an alternative to existing land and water research methods.

scholarly journals From Deposit to Point Cloud – a Study of Low-Cost Computer Vision Approaches for the Straightforward Documentation of Archaeological Excavations

2011 ◽  
Vol 6 ◽  
pp. 81-88 ◽  
Author(s):  
M. Doneus ◽  
G. Verhoeven ◽  
M. Fera ◽  
Ch. Briese ◽  
M. Kucera ◽  
...  
Keyword(s):  
Computer Vision ◽  
Point Cloud ◽  
Laser Scanning ◽  
Stereo Matching ◽  
Low Cost ◽  
Control Points ◽  
Positional Accuracy ◽  
3D Surface ◽  
Surface Models ◽  
Archaeological Excavations

Stratigraphic archaeological excavations demand high-resolution documentation techniques for 3D recording. Today, this is typically accomplished using total stations or terrestrial laser scanners. This paper demonstrates the potential of another technique that is low-cost and easy to execute. It takes advantage of software using Structure from Motion (SfM) algorithms, which are known for their ability to reconstruct camera pose and threedimensional scene geometry (rendered as a sparse point cloud) from a series of overlapping photographs captured by a camera moving around the scene. When complemented by stereo matching algorithms, detailed 3D surface models can be built from such relatively oriented photo collections in a fully automated way. The absolute orientation of the model can be derived by the manual measurement of control points. The approach is extremely flexible and appropriate to deal with a wide variety of imagery, because this computer vision approach can also work with imagery resulting from a randomly moving camera (i.e. uncontrolled conditions) and calibrated optics are not a prerequisite. For a few years, these algorithms are embedded in several free and low-cost software packages. This paper will outline how such a program can be applied to map archaeological excavations in a very fast and uncomplicated way, using imagery shot with a standard compact digital camera (even if the ima ges were not taken for this purpose). Archived data from previous excavations of VIAS-University of Vienna has been chosen and the derived digital surface models and orthophotos have been examined for their usefulness for archaeological applications. The a bsolute georeferencing of the resulting surface models was performed with the manual identification of fourteen control points. In order to express the positional accuracy of the generated 3D surface models, the NSSDA guidelines were applied.  Simultaneously acquired terrestrial laser scanning data – which had been processed in our standard workflow – was used to independently check the results. The vertical accuracy of the surface models generated by SfM was found to be within 0.04 m at the 95 % confidence interval, whereas several visual assessments proved a very high horizontal positional accuracy as well.

scholarly journals COMBINING TERRESTRIAL SCANNED DATASETS WITH UAV POINT CLOUDS FOR MINING OPERATIONS

2021 ◽  
Vol V-4-2021 ◽  
pp. 129-138
Author(s):  
M. Fotheringham ◽  
D. R. Paudyal
Keyword(s):  
Data Collection ◽  
Laser Scanning ◽  
Terrestrial Laser Scanning ◽  
Point Clouds ◽  
Mining Operations ◽  
Gnss Positioning ◽  
Volume Calculations ◽  
3D Surface ◽  
Combining Data ◽  
Surface Models

Abstract. Surveyors of open cut mining operations employ multiple data acquisition techniques such as the use of Unmanned Aerial Vehicles (UAV), Terrestrial Laser Scanning (TLS) and GNSS positioning for creating 3D surface models. Surveyors, mine planners and geologists are increasingly combining point cloud datasets to achieve more detailed surface models for the use of material reconciliation and volume calculations. Terrestrial Laser Scanning and UAV photogrammetry have enabled large, accurate and time effective data collection and increased computing capacity enables geospatial professionals to create 3D virtual surfaces, through merging UAV point clouds and TLS data combing with GNSS positioning. This research paper investigates the effects of combining data sets for creating 3D surface models from independent spatial data collection methods such as UAV, TLS and GNSS and assess their accuracy for the purpose of volume calculations in mining operation. 3D surface models provide important information for mining operations, planning of resources, material volumes calculation and financial calculations. A case study of two rehabilitation mine sites in Northern Victoria, Australia was selected for this study. Field data were collected using Terrestrial Laser Scanner and UAV. After each dataset was processed and filtered, the data were merged to create surface models. The accuracy of the combined model was assessed comparing height (Z) values using a fishnet point grid of the surfaces. Volumes between surfaces were calculated, and a cost applied to the results based on the current bulk cubic meter (BCM) haulage rates. The outputs from this study will provide scientific contributions to civil and mining industries where the computation of stockpile values is required.

scholarly journals Analysis of the Suitability of High-Resolution DEM Obtained Using ALS and UAS (SfM) for the Identification of Changes and Monitoring the Development of Selected Geohazards in the Alpine Environment—A Case Study in High Tatras, Slovakia

2020 ◽  
Vol 12 (23) ◽  
pp. 3901
Author(s):  
Ľudovít Kovanič ◽  
Peter Blistan ◽  
Rudolf Urban ◽  
Martin Štroner ◽  
Monika Blišťanová ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Laser Scanning ◽  
Morphological Changes ◽  
Current Trend ◽  
Unmanned Aerial Systems ◽  
Alpine Environment ◽  
Sensing Technology ◽  
Digital Elevation ◽  
Elevation Model ◽  
Aerial Systems

The current trend in the use of remote sensing technologies is their use as a tool for monitoring hard-to-reach areas, objects or phenomena in the alpine environment. Remote sensing technology is also effectively used to monitor geohazards and the development of human-made changes in the country. Research presented in this study demonstrates the results for the usability of the publicly available national digital elevation model DEM 5.0 obtained by utilizing the airborne laser scanning (ALS) survey to monitor the development of erosion, morphological changes of talus cones, or the dynamics of movement of rock blocks between stages of measurement in the alpine environment of the High Tatras mountains. The reference methods for this study are the terrestrial laser scanning (TLS) and structure-from-motion (SfM) photogrammetric approach using unmanned aerial systems (UASs). By comparing the created DEMs, the ALS point cloud’s accuracy on mostly rocky areas of different sizes was verified. The results show that the standard deviation of the ALS point cloud ranges from 19 to 46 mm depending on the area’s size and characteristics. The maximum difference ranges from 100 to 741 mm. The value of systematic displacement of data obtained by different technologies ranges from 1 to 29 mm. This research confirms the suitability of the ALS method with its advantages and limits for the detection of movement of rock blocks or change of position of any natural or anthropogenic objects with a size from approximately 1 m2.

scholarly journals DSM-to-LoD2: Spaceborne Stereo Digital Surface Model Refinement

2018 ◽  
Vol 10 (12) ◽  
pp. 1926 ◽  
Author(s):  
Ksenia Bittner ◽  
Pablo d’Angelo ◽  
Marco Körner ◽  
Peter Reinartz
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Laser Scanning ◽  
Missing Values ◽  
Least Square ◽  
Rapid Expansion ◽  
Surface Model ◽  
Digital Surface Model ◽  
Sensing Applications ◽  
3D Surface

A digital surface model (DSM) provides the geometry and structure of an urban environment with buildings being the most prominent objects in it. Built-up areas change with time due to the rapid expansion of cities. New buildings are being built, existing ones are expanded, and old buildings are torn down. As a result, 3D surface models can increase the understanding and explanation of complex urban scenarios. They are very useful in numerous fields of remote sensing applications, in tasks related to 3D reconstruction and city modeling, planning, visualization, disaster management, navigation, and decision-making, among others. DSMs are typically derived from various acquisition techniques, like photogrammetry, laser scanning, or synthetic aperture radar (SAR). The generation of DSMs from very high resolution optical stereo satellite imagery leads to high resolution DSMs which often suffer from mismatches, missing values, or blunders, resulting in coarse building shape representation. To overcome these problems, we propose a method for 3D surface model generation with refined building shapes to level of detail (LoD) 2 from stereo half-meter resolution satellite DSMs using deep learning techniques. Mainly, we train a conditional generative adversarial network (cGAN) with an objective function based on least square residuals to generate an accurate LoD2-like DSM with enhanced 3D object shapes directly from the noisy stereo DSM input. In addition, to achieve close to LoD2 shapes of buildings, we introduce a new approach to generate an artificial DSM with accurate and realistic building geometries from city geography markup language (CityGML) data, on which we later perform a training of the proposed cGAN architecture. The experimental results demonstrate the strong potential to create large-scale remote sensing elevation models where the buildings exhibit better-quality shapes and roof forms than just using the matching process. Moreover, the developed model is successfully applied to a different city that is unseen during the training to show its generalization capacity.

scholarly journals Using integrated remote sensing methods in the Nagyerdő Natura 2000 area

2014 ◽  
pp. 19-24
Author(s):  
Éva Bozsik ◽  
Tünde Fórián ◽  
Balázs Deák ◽  
Péter Riczu ◽  
János Fehér ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Monitoring System ◽  
Laser Scanning ◽  
Remote Sensing Data ◽  
Natura 2000 ◽  
Airborne Lidar ◽  
Sensing Technology ◽  
Data Collecting ◽  
Collecting Methods ◽  
Remote Sensing Methods

The more widely use of GIS, remote sensing technology provides appropriate data acquisition and data processing tools to build several national and international biodiversity monitoring system of environmental protection and natur conservation. The ChangeHabitats 2 is a similar international project, which uses airborne hyperspectral and airborne laser scanning (airborne LiDAR) sources beyond traditional data collection methods to build a monitoring system of Natura 2000 habitats. The goal of our research, on one hand, was to separate the most typical species of trees which can be found in the largest coverage in the research plots of Debreceni Nagyerdő Nature Reserve from field and airborne remote sensing data, use image classification that based on spectral and geometry (height) characteristics of the trees. On the other hand our goal was to evaluate the efficient use of the integration of mobilGIS, airborne hyperspectral and airborne LiDAR data collecting methods to complement or substitut of the traditional, field data collecting methods. We used ArcGIS 10.2 and Exelis 5.0 GIS software for data evaluation, in which the mosaicing, the selection of plots and the spectral image processing were carried out.

Hyperspectral Remote Sensing Technology (HRST) program

1997 ◽  
Author(s):  
Tom Wilson ◽  
Rebecca Baugh ◽  
Ron Contillo ◽  
Tom Wilson ◽  
Rebecca Baugh ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Hyperspectral Remote Sensing ◽  
Remote Sensing Technology ◽  
Sensing Technology
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