scholarly journals Application of UAV in Topographic Modelling and Structural Geological Mapping of Quarries and Their Surroundings—Delineation of Fault-Bordered Raw Material Reserves

Sensors ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 489 ◽  
Author(s):  
Ákos Török ◽  
Gyula Bögöly ◽  
Árpád Somogyi ◽  
Tamás Lovas
Keyword(s):  
Remote Sensing ◽  
Laser Scanning ◽  
Field Measurements ◽  
Fault Zones ◽  
Geological Mapping ◽  
Raw Material ◽  
Surface Model ◽  
Entire Study ◽  
Geological Information ◽  
Major Fault

A 3D surface model of an active limestone quarry and a vegetation-covered plateau was created using unmanned aerial vehicle (UAV) technique in combination with terrestrial laser scanning (TLS). The aim of the research was to identify major fault zones that dissect the inaccessible quarry faces and to prepare a model that shows the location of these fault zones at the entire study area. An additional purpose was to calculate reserves of the four identified lithological units. It was only possible to measure faults at the lowermost two meters of the quarry faces. At the upper parts of the quarry and on the vegetation-covered plateau where no field geological information was available, remote sensing was used. Former logs of core drillings were obtained for the modelling of the spatial distribution of four lithological units representing cover beds and various quality of limestone reserves. With the comparison of core data, field measurements and remote sensing, it was possible to depict major faults. Waste material volumes and limestone reserves were calculated for five blocks that are surrounded by these faults. The paper demonstrates that, with remote sensing and with localised control field measurements, it is possible: (a) to provide all geometric data of faults and (b) to create a 3D model with fault planes even at no exposure or at hardly accessible areas. The surface model with detected faults serves as a basis for calculating geological reserves.

scholarly journals Slope stability and rockfall assessment of volcanic tuffs using RPAS with 2-D FEM slope modelling

2018 ◽  
Vol 18 (2) ◽  
pp. 583-597 ◽  
Author(s):  
Ákos Török ◽  
Árpád Barsi ◽  
Gyula Bögöly ◽  
Tamás Lovas ◽  
Árpád Somogyi ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Cross Sections ◽  
Laser Scanning ◽  
Digital Terrain Model ◽  
Field Measurements ◽  
Satellite System ◽  
Surface Model ◽  
Rockfall Hazard ◽  
Terrain Model ◽  
Remote Sensing Techniques

Abstract. Steep, hardly accessible cliffs of rhyolite tuff in NE Hungary are prone to rockfalls, endangering visitors of a castle. Remote sensing techniques were employed to obtain data on terrain morphology and to provide slope geometry for assessing the stability of these rock walls. A RPAS (Remotely Piloted Aircraft System) was used to collect images which were processed by Pix4D mapper (structure from motion technology) to generate a point cloud and mesh. The georeferencing was made by Global Navigation Satellite System (GNSS) with the use of seven ground control points. The obtained digital surface model (DSM) was processed (vegetation removal) and the derived digital terrain model (DTM) allowed cross sections to be drawn and a joint system to be detected. Joint and discontinuity system was also verified by field measurements. On-site tests as well as laboratory tests provided additional engineering geological data for slope modelling. Stability of cliffs was assessed by 2-D FEM (finite element method). Global analyses of cross sections show that weak intercalating tuff layers may serve as potential slip surfaces. However, at present the greatest hazard is related to planar failure along ENE–WSW joints and to wedge failure. The paper demonstrates that RPAS is a rapid and useful tool for generating a reliable terrain model of hardly accessible cliff faces. It also emphasizes the efficiency of RPAS in rockfall hazard assessment in comparison with other remote sensing techniques such as terrestrial laser scanning (TLS).

scholarly journals Drone-Based Remote Sensing for Research on Wind Erosion in Drylands: Possible Applications

2021 ◽  
Vol 13 (2) ◽  
pp. 283
Author(s):  
Junzhe Zhang ◽  
Wei Guo ◽  
Bo Zhou ◽  
Gregory S. Okin
Keyword(s):  
Remote Sensing ◽  
Wind Erosion ◽  
Field Measurements ◽  
Spatially Explicit ◽  
Surface Model ◽  
High Resolution Imagery ◽  
Soil Elevation ◽  
3D Photogrammetry ◽  
Using Data ◽  
Sample Set

With rapid innovations in drone, camera, and 3D photogrammetry, drone-based remote sensing can accurately and efficiently provide ultra-high resolution imagery and digital surface model (DSM) at a landscape scale. Several studies have been conducted using drone-based remote sensing to quantitatively assess the impacts of wind erosion on the vegetation communities and landforms in drylands. In this study, first, five difficulties in conducting wind erosion research through data collection from fieldwork are summarized: insufficient samples, spatial displacement with auxiliary datasets, missing volumetric information, a unidirectional view, and spatially inexplicit input. Then, five possible applications—to provide a reliable and valid sample set, to mitigate the spatial offset, to monitor soil elevation change, to evaluate the directional property of land cover, and to make spatially explicit input for ecological models—of drone-based remote sensing products are suggested. To sum up, drone-based remote sensing has become a useful method to research wind erosion in drylands, and can solve the issues caused by using data collected from fieldwork. For wind erosion research in drylands, we suggest that a drone-based remote sensing product should be used as a complement to field measurements.

scholarly journals Information and computational GIS for monitoring the natural and technical systems of placer gold deposits

2021 ◽  
Vol 895 (1) ◽  
pp. 012036
Author(s):  
V I Usikov ◽  
Y A Ozaryan
Keyword(s):  
Remote Sensing ◽  
Information Technologies ◽  
Precious Metals ◽  
Gold Deposits ◽  
Raw Material ◽  
Expert Assessment ◽  
Labor Costs ◽  
Resource Base ◽  
Placer Gold ◽  
Geological Information

Abstract It is known that nowadays one of the main problems of mining is the depletion of reserves. The researchers consider mining waste as a source of replenishment of the resource base. Disputes on the prospects for technogenic raw material processing are becoming especially relevant. The object of research chosen by the authors in this article is the technogenic neoplasms resulting from dredging and hydraulic processing of placer gold. The paper presents the results of assessing the prospects and application of the information technologies, in particular, the analysis of data from remote sensing of the Earth in the design and organization of work to involve technogenic placers in operation. It is shown that these technologies are able to increase the efficiency of work and reduce labor costs at the stage of preliminary study of potential development targets. Technogenic complexes of depleted fields are a significant reserve of the mineral resource base of gold and other precious metals. This paper presents the results of the creation of a method for expert assessment of spatial and volumetric indicators of technogenic complexes of alluvial fields and other landscape objects using remote sensing of the territory and analysis of geological information. The Kerbinsky gold-bearing region of the Khabarovsk Region was chosen as the object of research.

Valuation of growing stock using multisource GIS data, a stem quality database, and bucking simulation

2018 ◽  
Vol 48 (8) ◽  
pp. 888-897 ◽  
Author(s):  
Blanca Sanz ◽  
Jukka Malinen ◽  
Vesa Leppänen ◽  
Rubén Valbuena ◽  
Tuomo Kauranne ◽  
...  
Keyword(s):  
Laser Scanning ◽  
Field Measurements ◽  
Product Yield ◽  
Optimization Methods ◽  
Raw Material ◽  
Diameter Distribution ◽  
Target Area ◽  
Product Price ◽  
Extensive Field ◽  
Stem Quality

Customer-oriented production as a sawmill strategy requires up-to-date information on the available raw material resources. Bucking is a process in which the tree stem is divided into products based on the roundwood user’s needs regarding products and their quality and dimensions. Optimization methods are employed in bucking to recover the highest value of the stem for a given product price matrix and requested length–diameter distribution. A method is presented here for assessing the value of harvestable timber stands based on their product yield. Airborne laser scanning, multispectral imagery, and field plots were used to produce timber statistics for a grid covering the target area. The statistics for the plots were generated from this grid. The value of the estimated tree list was assessed using a bucking-to-value simulator together with a stem quality database. Different product yield simulations in terms of volumes, timber assortment recoveries, wood paying capabilities (WPC) and value estimations based on the presented method, and extensive field measurements were compared. As a conclusion, this method can estimate WPC for pulpwood and sawlogs with root mean squared errors of 32.7% and 38.5%, respectively, relative to extensive field measurements.

scholarly journals EKSPLORASI GEOARKEOLOGI SITUS PALEOLITIK DI PULAU SERAM, PROVINSI MALUKU [Geoarchaeological Exploration of Paleolitical Sites on The Island of Seram, Moluccas Province]

2018 ◽  
Vol 9 (1) ◽  
pp. 1-20
Author(s):  
Muh Fadhlan S Intan
Keyword(s):  
Research Method ◽  
Geological Mapping ◽  
Raw Material ◽  
Environmental Scanning ◽  
The West ◽  
Geological Structures ◽  
Lithic Tools ◽  
Geological Information ◽  
Long Time ◽  
Intermittent River

East Seram District, Central Maluku, and West Seram regency is located on the island of Seram, where research was conducted, save a lot of cultural, one of the paleolithic period, which is a long time not received attention from environmental researchers. It is used as the basis of the main issues that include geology in general. Therefore, the purpose of this study was to perform surface geological mapping in general as one of the efforts to provide geological information, while the goal is to determine aspects of geomorphology, stratigraphy, structural geology associated with the existence of paleolithic sites in the study area. The research method begins with a literature review, surveys, analysis, and interpretation of field data. Environmental scanning provides information about the landscape consists of plains morphological units, units of corrugated morphology weak, strong corrugated morphology unit, and units of karst morphology. The river berstadia old-mature river stadium, periodical/permanent river, and river episodic/intermittent river. Constituent rock is sandstone, limestone, marl, andesite, tuff, schist, volcanic breccias, reef limestones, conglomerates, and alluvial. Geological structures such as faults and folds. Ceram Research discovered 14 Paleolithic sites. From the analysis of petrology, lithic tools made of jasper rocks, chert, metalimestone, flint, and quartzite. Rock as raw material litik tool, found in the middle of Seram Island, then spread to the west and to the east which has a flat relief.   ABSTRAKKabupaten Seram Bagian Timur, Kabupaten Maluku Tengah, dan Kabupaten Seram Bagian Barat terletak di Pulau Seram, yang menjadi lokasi penelitian, menyimpan banyak tinggalan budaya, salah satunya dari masa paleolitik, yang sekian lama tak mendapat perhatian dari para peneliti lingkungan. Hal inilah yang dijadikan dasar permasalahan utama yang mencakup geologi secara umum. Oleh sebab itu, maksud penelitian ini dalah untuk melakukan pemetaan geologi permukaan secara umum sebagai salah satu upaya untuk menyajikan informasi geologi, sedangkan tujuannya adalah untuk mengetahui aspek-aspek geomorfologi, stratigrafi, struktur geologi yang dikaitkan dengan keberadaan di situs-situs paleolitik wilayah penelitian. Metode penelitian diawali dengan kajian pustaka, survei, analisis, dan interpretasi data lapangan. Pengamatan lingkungan memberikan informasi tentang bentang alamnya terdiri yang dari satuan morfologi dataran, satuan morfologi bergelombang lemah, satuan morfologi bergelombang kuat, dan satuan morfologi karst. Sungainya berstadia sungai dewasa-tua, sungai periodik/permanen, dan sungai episodik/ intermittent. Batuan penyusun adalah batupasir, batugamping, napal, andesit, tufa, sekis, breksi volkanik, batugamping terumbu, konglomerat, dan aluvial. Struktur geologi berupa patahan, dan lipatan. Eksplorasi di Pulau Seram telah menemukan 14 situs paleolitik. Dari analisis petrologi, alat-alat litik terbuat dari batuan jasper, chert, metagamping, batuapi, dan kuarsit. Batuan sebagai bahan baku alat litik, ditemukan di bagian tengah Pulau Seram, lalu disebarkan ke arah barat dan timur yang berelief datar.    

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.

ANALYSIS OF REMOTE SENSING DATA FOR DETERMINATION OF SPATIAL CHANGES IN ORCHARDS

2020 ◽  
Author(s):  
Vita Celmina ◽  
Vivita Pukite
Keyword(s):  
Remote Sensing ◽  
Laser Scanning ◽  
Remote Sensing Data ◽  
Nutrient Content ◽  
Future Research ◽  
Surface Model ◽  
Tree Crown ◽  
Sensing Data ◽  
Spatial Changes

Aim of the paper is to explore the application possibilities of remote sensing data for determination of spatial changes in orchards from 1995 to 2019. In Latvia, many fruit-growing companies have been established around the turn of the century and today have established a solid production base. Although many farms achieve good yields, the average level of productivity in orchards is insufficient. Often the yields are different in the same garden in different places. Remote sensing technology provides tree crown size data. Evaluating garden data would identify sectors with lower increments. When you see specific sectors on the map, they will be surveyed by gardeners looking for factors that have influenced tree growth (soil nutrient content, moisture content, abundant fruit yield, etc.). As a result, average productivity may increase by at least 10%, but in the longer term (5-6 years) by 20-30% Using Latvian Geospatial Information Agency’s available orthophoto and digital surface model (DSM) data, were examined three land units - orchards, where the spatial changes could be observed. The spatial changes can be observed over a longer period of time, therefore there were compared several orthophoto maps, each taken in different period of time. This study is an initial analysis of the data to determine the spatial changes. Future research will further investigate orchards with aerial laser scanning to determine accurate tree crown volumes and develop digital surface models.

scholarly journals New Orthophoto Generation Strategies from UAV and Ground Remote Sensing Platforms for High-Throughput Phenotyping

2021 ◽  
Vol 13 (5) ◽  
pp. 860
Author(s):  
Yi-Chun Lin ◽  
Tian Zhou ◽  
Taojun Wang ◽  
Melba Crawford ◽  
Ayman Habib
Keyword(s):  
Remote Sensing ◽  
Control Strategies ◽  
Target Function ◽  
Canopy Cover ◽  
Surface Model ◽  
Flowering Date ◽  
Sensing Platforms ◽  
Geolocation Accuracy ◽  
New Strategies

Remote sensing platforms have become an effective data acquisition tool for digital agriculture. Imaging sensors onboard unmanned aerial vehicles (UAVs) and tractors are providing unprecedented high-geometric-resolution data for several crop phenotyping activities (e.g., canopy cover estimation, plant localization, and flowering date identification). Among potential products, orthophotos play an important role in agricultural management. Traditional orthophoto generation strategies suffer from several artifacts (e.g., double mapping, excessive pixilation, and seamline distortions). The above problems are more pronounced when dealing with mid- to late-season imagery, which is often used for establishing flowering date (e.g., tassel and panicle detection for maize and sorghum crops, respectively). In response to these challenges, this paper introduces new strategies for generating orthophotos that are conducive to the straightforward detection of tassels and panicles. The orthophoto generation strategies are valid for both frame and push-broom imaging systems. The target function of these strategies is striking a balance between the improved visual appearance of tassels/panicles and their geolocation accuracy. The new strategies are based on generating a smooth digital surface model (DSM) that maintains the geolocation quality along the plant rows while reducing double mapping and pixilation artifacts. Moreover, seamline control strategies are applied to avoid having seamline distortions at locations where the tassels and panicles are expected. The quality of generated orthophotos is evaluated through visual inspection as well as quantitative assessment of the degree of similarity between the generated orthophotos and original images. Several experimental results from both UAV and ground platforms show that the proposed strategies do improve the visual quality of derived orthophotos while maintaining the geolocation accuracy at tassel/panicle locations.

scholarly journals Alien Wood Species as a Resource for Wood-Plastic Composites

2020 ◽  
Vol 11 (1) ◽  
pp. 44
Author(s):  
Sergej Medved ◽  
Daša Krapež Tomec ◽  
Angela Balzano ◽  
Maks Merela
Keyword(s):  
Wood Species ◽  
Dimensional Stability ◽  
Laser Scanning ◽  
Large Scale ◽  
Laser Scanning Microscopy ◽  
Raw Material ◽  
Confocal Laser ◽  
Alien Plant ◽  
Wood Plastic Composites ◽  
Plastic Composites

Since invasive alien species are one of the main causes of biodiversity loss in the region and thus of changes in ecosystem services, it is important to find the best possible solution for their removal from nature and the best practice for their usability. The aim of the study was to investigate their properties as components of wood-plastic composites and to investigate the properties of the wood-plastic composites produced. The overall objective was to test the potential of available alien plant species as raw material for the manufacture of products. This would contribute to sustainability and give them a better chance of ending their life cycle. One of the possible solutions on a large scale is to use alien wood species for the production of wood plastic composites (WPC). Five invasive alien hardwood species have been used in combination with polyethylene powder (PE) and maleic anhydride grafted polyethylene (MAPE) to produce various flat pressed WPC boards. Microstructural analyses (confocal laser scanning microscopy and scanning electron microscopy) and mechanical tests (flexural strength, tensile strength) were performed. Furthermore, measurements of density, thickness swelling, water absorption and dimensional stability during heating and cooling were carried out. Comparisons were made between the properties of six WPC boards (five alien wood species and mixed boards). The results showed that the differences between different invasive alien wood species were less obvious in mechanical properties, while the differences in sorption properties and dimensional stability were more significant. The analyses of the WPC structure showed a good penetration of the polymer into the lumens of the wood cells and a fine internal structure without voids. These are crucial conditions to obtain a good, mechanically strong and water-resistant material.

scholarly journals Archaeological Surveying of Subarctic and Arctic Landscapes: Comparing the Performance of Airborne Laser Scanning and Remote Sensing Image Data

2021 ◽  
Vol 13 (4) ◽  
pp. 1917
Author(s):  
Alma Elizabeth Thuestad ◽  
Ole Risbøl ◽  
Jan Ingolf Kleppe ◽  
Stine Barlindhaug ◽  
Elin Rose Myrvoll
Keyword(s):  
Remote Sensing ◽  
Laser Scanning ◽  
Digital Terrain Model ◽  
Image Data ◽  
Remote Sensing Image ◽  
Airborne Laser Scanning ◽  
Aerial Images ◽  
Detection Rates ◽  
Airborne Laser ◽  
Pros And Cons

What can remote sensing contribute to archaeological surveying in subarctic and arctic landscapes? The pros and cons of remote sensing data vary as do areas of utilization and methodological approaches. We assessed the applicability of remote sensing for archaeological surveying of northern landscapes using airborne laser scanning (LiDAR) and satellite and aerial images to map archaeological features as a basis for (a) assessing the pros and cons of the different approaches and (b) assessing the potential detection rate of remote sensing. Interpretation of images and a LiDAR-based bare-earth digital terrain model (DTM) was based on visual analyses aided by processing and visualizing techniques. 368 features were identified in the aerial images, 437 in the satellite images and 1186 in the DTM. LiDAR yielded the better result, especially for hunting pits. Image data proved suitable for dwellings and settlement sites. Feature characteristics proved a key factor for detectability, both in LiDAR and image data. This study has shown that LiDAR and remote sensing image data are highly applicable for archaeological surveying in northern landscapes. It showed that a multi-sensor approach contributes to high detection rates. Our results have improved the inventory of archaeological sites in a non-destructive and minimally invasive manner.

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