CT scan data (raw files: .IMA), derived from a medical grade CT scanner as installed at the TU Delft GSE laboratory (Siemens Somatom Volume Zoom). Imaged samples depict borehole geometries produced by water jet drilling under mechanical stress using a true triaxial apparatus. Details on experimental conditions for each test can be found in Bakker et al., "A laboratory study on radial jet drilling in true triaxial stress conditions" (in prep). Image slices (format: .IMA) can be opened with for example imageJ (load stack) or Avizo (import image stack). All slices have individual metadata on acquisition parameters. pixelsize: 0.293 mm/pixel, slice-distance: 0.6 mm.

The global automated mine scanning machine market is experiencing robust growth, projected to reach a market size of $1991.8 million in 2025 and exhibiting a Compound Annual Growth Rate (CAGR) of 5.1% from 2025 to 2033. This expansion is driven by several key factors. Increasing demand for enhanced safety and efficiency in mining operations is a primary catalyst. Automated systems significantly reduce the risks associated with manual mine surveying and mapping, leading to improved worker safety and reduced operational downtime caused by accidents. Furthermore, the rising adoption of advanced technologies like 3D laser scanning and mobile mapping within mining operations is fueling market growth. These technologies provide highly detailed and accurate mine scans, enabling better resource management, improved production planning, and optimized extraction processes. The integration of AI and machine learning in these systems further enhances data analysis and interpretation, enabling faster decision-making and ultimately, improved profitability. Growth is also being fueled by stricter government regulations promoting safer mining practices and improved environmental monitoring. Segmentation analysis reveals significant growth across various application areas, including surveying, 3D mapping, and mobile mapping within mines. Hardware components, such as scanning sensors and robotic platforms, form a significant portion of the market, alongside software solutions for data processing and analysis. Services related to system integration, maintenance, and training also contribute significantly. Regionally, North America and Europe currently hold a substantial market share, driven by high adoption rates and established mining industries. However, the Asia-Pacific region is poised for significant growth in the coming years, fueled by increasing mining activities and infrastructure development in countries like China and India. The competitive landscape is dynamic, with both established players and emerging companies vying for market share through innovation and strategic partnerships. Continuous technological advancements and the increasing focus on data-driven decision-making will shape the future trajectory of this market, contributing to its sustained expansion.

As part of a project on the development of hyperspectral scanning to support geological mapping in underground mines, we acquired hyperspectral data from three adjacent outcrops of Sn-W-Li greisen rocks in the visitor’s mine of Zinnwald, Germany. The hyperspectral scans were pre-processed and then back-projected onto photogrammetric, three-dimensional digital outcrop models resulting in so-called "hyperclouds". The here presented hyperclouds from the three outcrops (Z1, Z2, and Z3) contain the following attributes:

ZX_Absorbance.ply
RGB colours: Mica/clay-zinnwaldite-topaz abundance based on absorbance (1 – hull-corrected reflectance) at 2200 nm (red), 2250 nm (green), and 2085 nm (blue)
Scalars: Absorbance at 2086.88 nm, 2160.69 nm, 2197.53 nm, 2209.8 nm, 2252.7 nm, and 2338.31 nm

ZX_Iron.ply
RGB colours: Composite (Fe3+ Fe2+ FeOH) iron index (red: 600/570 nm, green:(920 nm + 1650 nm)/ (1035 nm 1230 nm), blue: (2230 nm 2290 nm)/(2245 nm + 2260 nm)
Scalars: Fe3+ = 600/570 nm, Fe2+ = (920 nm + 1650 nm)/ (1035 nm + 1230 nm), FeOH = (2230 nm + 2290 nm)/(2245 nm + 2260 nm)

ZX_MNF.ply
RGB colours: Minimum noise fraction false colour (red: band 4, green: band 7, blue: band 5)
Scalars: Minimum noise fraction bands 4, 7, 5)

ZX_RGB_mineralogy_Li.ply
RGB colours: True colour RGB from photogrammetric outcrop model
Scalars: Mineral abundances derived by combining sample mineralogy from quantitative XRD measurements and hyperspectral unmixing approaches: Quartz/Feldspar, Zinnwaldite, Muscovite/Illite, Kaolinite, Topaz, Lithium (by multiplying the zinnwaldite abundance by its average lithium content of 1.7%)

The Mobile Laser Scanning Systems market is experiencing robust growth, driven by increasing demand across diverse sectors like construction, mining, and agriculture. The market's expansion is fueled by the technology's ability to provide accurate and detailed 3D data rapidly, improving efficiency and reducing project costs. Applications range from site surveying and asset management to accident investigation and precision farming. While the real-time systems segment currently holds a larger market share, post-processing systems are witnessing significant growth due to advancements in processing power and software capabilities. Leading players like Leica Geosystems, Trimble, and Topcon are investing heavily in R&D, incorporating AI and automation into their systems, further fueling market expansion. Geographic growth is diverse, with North America and Europe currently dominating due to early adoption and well-established infrastructure. However, the Asia-Pacific region is showing substantial potential for future growth, driven by rapid infrastructure development and increasing government investments in digitalization. The market faces some challenges including high initial investment costs for the systems and the need for skilled professionals to operate and process the data. Nevertheless, the overall market outlook remains positive, with a projected Compound Annual Growth Rate (CAGR) driving substantial market expansion through 2033. The competitive landscape is characterized by a mix of established industry giants and innovative startups. Established players leverage their extensive distribution networks and strong brand recognition while newcomers focus on niche applications and innovative technological advancements. The market is likely to see increased consolidation in the coming years, with larger players acquiring smaller companies to expand their product portfolios and technological capabilities. Future growth will be significantly influenced by technological advancements, such as the integration of LiDAR with other technologies like drones and autonomous vehicles, which will open up new applications and markets. The increasing adoption of cloud-based solutions for data processing and storage will also influence market dynamics, facilitating collaboration and data sharing among stakeholders. Regulatory changes, particularly related to data privacy and safety standards, will also play a role in shaping the future of the mobile laser scanning market.

The global market for 3D terrestrial laser scanners in the energy and mining industries is experiencing robust growth, driven by increasing demand for precise and efficient data acquisition for various applications. The market size in 2025 is estimated at $500 million, exhibiting a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033. This growth is fueled by several key factors. Firstly, the rising need for improved safety and efficiency in mining operations is a significant driver. 3D laser scanning technology allows for the creation of highly accurate digital twins of mines, facilitating better planning, risk assessment, and operational optimization. Secondly, the energy sector, particularly in renewable energy infrastructure development (wind farms, solar plants), leverages this technology for site surveying, construction monitoring, and asset management, contributing to cost reduction and enhanced project timelines. Furthermore, advancements in scanner technology, such as higher point density, faster scan speeds, and improved data processing capabilities, are further boosting market adoption. Challenges such as high initial investment costs and the need for skilled professionals to operate and interpret the data represent potential restraints to market growth; however, these challenges are being progressively addressed through technological innovation and training programs. Despite these restraints, the long-term outlook for the 3D terrestrial laser scanner market in energy and mining remains positive. The increasing focus on automation and digitalization across these industries, coupled with the growing demand for detailed geospatial data for resource exploration and environmental monitoring, is expected to drive substantial market expansion in the coming years. Major players like Hexagon Geosystems, Trimble, and Topcon are actively investing in research and development, expanding their product portfolios, and exploring strategic partnerships to strengthen their market positions. The market segmentation within this sector is likely driven by scanner type (e.g., long-range, short-range), application (e.g., mine surveying, pipeline inspection), and end-user (e.g., mining companies, energy companies). Geographical expansion into emerging economies, particularly in Asia and Africa, is also expected to contribute to market growth.

This report summarizes the ServCat pilot project and offers recommendations for the full-scale implementation of the database. During the pilot project a total of 2,473 documents from 10 different refuges were entered into the ServCat database. A document can take anywhere from 5 to 60 minutes to scan. Overall, a general approximation is that it takes 30 minutes to scan a document and enter it as a record in ServCat. Several lessons were learned throughout the course of the pilot project that will help guide the implementation of the data mining effort at the full-scale. Full-scale implementation of the ServCat database will require collaboration between refuges, regions, and the Natural Resource Program Center. Standardizing the metadata entered in ServCat will make it easier to find a document in the database and faster to create a record. Templates, the master keyword list, and the ServCat Guidance should be used whenever possible to expedite data entry.

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on March 17, 2022. A large-scale database of genetics and genomics data associated to a web-interface and a set of methods and algorithms that can be used for mining the data in it. The database contains two categories of single nucleotide polymorphism (SNP) annotations: # Physical-based annotation where SNPs are categorized according to their position relative to genes (intronic, inter-genic, etc.) and according to linkage disequilibrium (LD) patterns (an inter-genic SNP can be annotated to a gene if it is in LD with variation in the gene). # Functional annotation where SNPs are classified according to their effects on expression levels, i.e. whether they are expression quantitative trait loci (eQTLs) for that gene. SCAN can be utilized in several ways including: (i) queries of the SNP and gene databases; (ii) analysis using the attached tools and algorithms; (iii) downloading files with SNP annotation for various GWA platforms. . eQTL files and reported GWAS from NHGRI may be downloaded.

The dataset contains derived features from CT images of patients and controls scanned at two different centers, Frederikshavn and Aalborg.Each image is represented by 50 feature vectors, where each feature vector describes a volumetric ROIs of size 41 x 41x 41 voxels, extracted at random locations inside the lung mask. The features extracted are Gaussian scale space features, or histograms of intensity values in the ROI after filtering the image. Here we use eight filters (smoothed image, gradient magnitude, Laplacian of Gaussian, three eigenvalues of the Hessian, Gaussian curvature and eigen magnitude), four scales (0.6, 1.2, 2.4 and 4.8 mm), and histograms of ten bins.

The Mobile Laser Scanning Systems market is experiencing robust growth, driven by increasing demand across diverse sectors. The construction industry, in particular, is a major adopter, utilizing mobile laser scanning (MLS) for precise 3D modeling, site surveying, and progress monitoring, leading to improved efficiency and reduced errors. Mining and agriculture also contribute significantly, with applications ranging from open-pit mine surveying and volume calculations to precision agriculture and crop monitoring. The market is segmented by system type, with real-time systems gaining traction for their immediate data acquisition benefits, while post-processing systems maintain relevance for applications requiring higher levels of detail and analysis. Technological advancements, such as improved sensor accuracy, increased range, and the integration of GPS and inertial measurement units (IMUs), are further fueling market expansion. While the initial investment in MLS systems can be substantial, the long-term cost savings and increased productivity are driving adoption, especially among large-scale projects. Competition is fierce among established players like Leica Geosystems, Trimble, and Topcon, as well as emerging companies offering innovative solutions. The North American and European markets currently hold the largest market share, but rapidly developing economies in Asia-Pacific are expected to witness significant growth in the coming years, driven by infrastructure development and increasing adoption of advanced technologies. The forecast period (2025-2033) anticipates continued growth, fueled by ongoing infrastructure projects globally and the expanding applications of MLS technology in various industries. Government initiatives promoting digitalization and smart city development further contribute to this positive outlook. However, challenges remain, including the need for skilled personnel to operate and interpret the complex data generated by MLS systems and potential regulatory hurdles related to data privacy and security. Despite these challenges, the long-term growth trajectory for mobile laser scanning systems remains promising, driven by the inherent advantages of speed, accuracy, and cost-effectiveness compared to traditional surveying methods. We project a continued upward trend in market size, with a healthy CAGR (assuming a reasonable CAGR of 12% based on industry trends) throughout the forecast period, resulting in substantial market expansion by 2033.

3D Terrestrial Laser Scanning Market Outlook

The 3D terrestrial laser scanning market is projected to witness significant growth, with its market size anticipated to rise from USD 3.5 billion in 2023 to approximately USD 6.8 billion by 2032, reflecting a robust compound annual growth rate (CAGR) of 7.8%. This substantial expansion is driven by the increasing demand for high-precision data capturing technologies across various industries, such as construction, mining, and transportation. The growing adoption of 3D terrestrial laser scanning in these sectors is largely due to its ability to provide accurate and rapid data collection, which enhances project efficiency and accuracy, thereby reducing overall costs.

One of the primary growth factors for the 3D terrestrial laser scanning market is the rapid advancement in technology, which has led to the development of more compact, portable, and affordable scanning devices. These advancements make the technology accessible to a broader range of industries, enhancing their operational efficiency and precision. Furthermore, technological progress in data processing software has made it easier and faster to convert raw scan data into actionable insights, thus driving the market's expansion. The integration of artificial intelligence and machine learning capabilities into scanning systems is also propelling the market, as it allows for more sophisticated data analysis and automation of routine tasks.

The construction industry's growing emphasis on precision and efficiency is another significant factor contributing to the market's growth. 3D terrestrial laser scanning is increasingly being used in construction for site surveying, building information modeling (BIM), and project monitoring, which helps in reducing errors and rework, hence saving time and resources. As urbanization continues to accelerate, especially in emerging economies, the demand for precise construction and infrastructure development tools is expected to rise, further boosting the market. Additionally, government regulations and standards mandating the use of advanced surveying technologies in infrastructure projects are likely to fuel the adoption of 3D laser scanning.

In the transportation and logistics sector, the need for efficient and precise mapping solutions for infrastructure management and development is driving the demand for 3D terrestrial laser scanning. This technology is essential for the maintenance and modernization of transportation networks, including roads, railways, and airports. Enhanced safety standards and the need for accurate mapping data for autonomous vehicle development are also significant factors promoting market growth. With the global push towards smart cities and intelligent transportation systems, the role of 3D laser scanning in efficiently managing and expanding these systems is expected to grow, thereby contributing to the market's overall expansion.

Regionally, North America holds a substantial share of the 3D terrestrial laser scanning market, driven by the region's advanced infrastructure and rapid technological adoption. The presence of key market players and significant investments in research and development further strengthen the market's position in this region. Meanwhile, the Asia Pacific region is anticipated to exhibit the highest growth rate, propelled by rapid urbanization, ongoing infrastructure development, and increasing adoption of advanced technologies in countries like China and India. The European market is also poised for growth, supported by stringent regulatory frameworks and a strong focus on sustainability and precision engineering. In contrast, the markets in Latin America and the Middle East & Africa, though smaller, are expected to grow steadily due to increasing infrastructure projects and technological adoption.

Component Analysis

The 3D terrestrial laser scanning market is segmented into three main components: hardware, software, and services, each playing a crucial role in the overall functionality and application of the technology. The hardware segment, which includes the actual laser scanning devices and associated equipment, constitutes a significant portion of the market. These devices have evolved considerably over the years, with advancements focusing on increasing accuracy, range, and ease of use. The development of lightweight, portable scanners has opened up new application areas, making it feasible for industries such as agriculture and forestry to adopt this technology. Moreover, the integration of GPS and other positioning technologies into these hardware components enhances their ut

This dataset is made for training the classifiers to detect whether some text is making a suggestion or not. This could be useful to train a classifier which can automatically scan the data for suggestions such as whether something should be done or not. For example, if someone says "I think you should invest in this coin", then it is registered as a suggestion. Very useful for data mining and decision making based on the NLP data.

CT scan data for three-dimensional visualization of the evolution of pores and fractures in reservoir rocks under triaxial stress.

The 3D Terrestrial Laser Scanning (TLS) market, valued at $545 million in 2025, is projected to experience robust growth, driven by increasing demand across diverse sectors. The 7.2% CAGR indicates a substantial market expansion through 2033, fueled primarily by the construction industry's adoption of TLS for accurate site modeling, progress monitoring, and as-built documentation. Furthermore, advancements in sensor technology leading to higher accuracy, faster scan speeds, and improved data processing capabilities are significantly contributing to market expansion. The rising need for precise spatial data in infrastructure development, mining, and surveying further propels market growth. Segmentation reveals strong demand for TLS solutions across various applications, including scanned surface color analysis, ambient light correction, glossiness measurement, and screen resolution optimization. Spatial cloud data remains the dominant type, although digital elevation models (DEMs), digital terrain models (DTMs), and contour maps are gaining traction, driven by the need for detailed topographic information. Competition among key players like Leica Geosystems, Trimble, and Faro Technologies is intense, fostering innovation and driving down costs, making TLS accessible to a wider range of users. Geographic expansion is also a key factor; North America and Europe currently hold significant market share, but Asia-Pacific is anticipated to witness the fastest growth due to rapid infrastructure development and rising investments in surveying and mapping technologies. While the precise breakdown of market share by application and region is not provided, the consistent adoption across diverse sectors suggests a balanced distribution. The strong growth trajectory, driven by technological advancements and increasing industry demand, indicates a promising future for the 3D Terrestrial Laser Scanning market. The diverse applications of this technology, ranging from precise building modeling to environmental monitoring, ensures its continued relevance and expansion in the years to come. Companies are investing heavily in Research & Development to improve the accuracy and efficiency of the systems, further supporting market growth.

The 3D Terrestrial Laser Scanning (TLS) equipment market, valued at $2,529 million in 2025, is experiencing robust growth, projected to expand at a Compound Annual Growth Rate (CAGR) of 6.9% from 2025 to 2033. This growth is fueled by increasing demand across diverse sectors like construction, mining, and surveying. Advanced technologies offering higher accuracy, faster scanning speeds, and improved data processing capabilities are driving market expansion. The integration of TLS with other technologies, such as drones and cloud-based platforms, is further enhancing efficiency and accessibility, making it a cost-effective solution for various applications. Furthermore, the growing need for precise digital twins and as-built models for infrastructure management and asset monitoring is a key market driver. Competition among established players like Hexagon Geosystems, Trimble, and others, fosters innovation and price competitiveness, benefiting end-users. However, the market faces certain challenges. High initial investment costs can be a barrier to entry for some businesses, particularly smaller companies. The complexity of data processing and the need for specialized expertise can also limit broader adoption. Despite these restraints, the ongoing advancements in technology, coupled with the increasing awareness of the benefits of 3D scanning across various industries, are expected to mitigate these challenges and contribute to sustained market growth throughout the forecast period. The market's segmentation, while not provided, likely includes various scan ranges, resolutions, and software packages, catering to the specific needs of each application. The geographic distribution is expected to show a strong presence across developed regions like North America and Europe, with emerging economies witnessing significant growth potential.

List of Darlingtonia and Sarracenia accessions for metabolite profiling by GC-MS (SCAN).

Terrestrial Laser Scanning System Market Outlook

The global terrestrial laser scanning system market size was valued at approximately USD 2.1 billion in 2023 and is forecasted to reach around USD 4.7 billion by 2032, reflecting a robust CAGR of 9.5% during the forecast period. The market's growth is primarily driven by the increasing adoption of advanced scanning technologies across various industrial sectors, such as construction, mining, and transportation, which seek to improve accuracy and efficiency in their operations.

The advancement in technology and the need for precision in industrial applications are significant growth factors for the terrestrial laser scanning system market. Industries like construction and mining have increasingly adopted these systems to enhance project accuracy and reduce time. The accuracy provided by terrestrial laser scanning systems minimizes errors, thus reducing costs associated with rework. Additionally, the demand for 3D scanning in applications such as surveying and mapping has been instrumental in propelling market growth.

Another critical driver is the growing use of these systems in the transportation sector. For instance, terrestrial laser scanning systems are pivotal in the planning and maintenance of railway tracks, roads, and bridges. The ability to quickly and accurately scan large areas is a substantial advantage, leading to increased adoption in this sector. Moreover, the integration of terrestrial laser scanning systems with other technologies, such as Building Information Modeling (BIM) in construction, adds further value, driving market expansion.

Furthermore, increasing urbanization and infrastructure development in emerging economies are expected to fuel the demand for terrestrial laser scanning systems. Countries in Asia Pacific, such as China and India, are investing heavily in infrastructure projects, which require precise surveying and mapping technologies. This trend is likely to continue, contributing to the market's growth. Additionally, stringent government regulations regarding safety and quality standards in construction and other industries are compelling companies to adopt advanced scanning technologies.

Regionally, North America holds a significant market share due to the early adoption of advanced technologies and the presence of key market players. The Asia Pacific region is expected to witness the highest growth rate during the forecast period, driven by rapid industrialization and infrastructure development. Europe also presents substantial growth opportunities, particularly in the construction and transportation sectors, due to the increasing focus on smart city projects and modernization of existing infrastructure.

Component Analysis

The terrestrial laser scanning system market can be segmented by component into hardware, software, and services. The hardware segment, comprising scanners, data collectors, and other physical devices, forms the backbone of terrestrial laser scanning systems. With advancements in technology, hardware components have become more sophisticated, offering higher accuracy and faster data collection capabilities. Innovations such as lightweight, portable scanners have made it easier for field operators to conduct surveys, thus boosting the hardware segment's growth.

The software segment is equally crucial, as it involves data processing, analysis, and visualization tools that transform raw scan data into useful information. The increasing complexity of projects and the need for detailed, accurate data have driven the demand for advanced software solutions. Software platforms that offer seamless integration with other technologies, such as Geographic Information Systems (GIS) and CAD systems, are particularly in demand. Enhanced features like real-time data processing and cloud-based storage further add to the software segment's growth momentum.

Services form the third critical component of the terrestrial laser scanning system market. These include consultancy, maintenance, and training services, which ensure the effective implementation and operation of scanning systems. As the technology becomes more advanced, the need for specialized services to train personnel and maintain equipment rises. Companies offering comprehensive service packages, from system installation to ongoing support, are likely to see increased demand, further driving the services segment's growth.

Moreover, the integration of artificial intelligence (AI) and machine learning (ML) into sof

ObjectivesSeveral automated algorithms for epidemiological surveillance in hospitals have been proposed. However, the usefulness of these methods to detect nosocomial outbreaks remains unclear. The goal of this review was to describe outbreak detection algorithms that have been tested within hospitals, consider how they were evaluated, and synthesize their results.MethodsWe developed a search query using keywords associated with hospital outbreak detection and searched the MEDLINE database. To ensure the highest sensitivity, no limitations were initially imposed on publication languages and dates, although we subsequently excluded studies published before 2000. Every study that described a method to detect outbreaks within hospitals was included, without any exclusion based on study design. Additional studies were identified through citations in retrieved studies.ResultsTwenty-nine studies were included. The detection algorithms were grouped into 5 categories: simple thresholds (n = 6), statistical process control (n = 12), scan statistics (n = 6), traditional statistical models (n = 6), and data mining methods (n = 4). The evaluation of the algorithms was often solely descriptive (n = 15), but more complex epidemiological criteria were also investigated (n = 10). The performance measures varied widely between studies: e.g., the sensitivity of an algorithm in a real world setting could vary between 17 and 100%.ConclusionEven if outbreak detection algorithms are useful complementary tools for traditional surveillance, the heterogeneity in results among published studies does not support quantitative synthesis of their performance. A standardized framework should be followed when evaluating outbreak detection methods to allow comparison of algorithms across studies and synthesis of results.

Property ID, name(s), document type, and description: CH0489; Bright Star Mine, Bright Star No. 3, Brindle Pup Group, Big Copper; report: Compilation report includes P-126, Challis Quad. 1986, Tungsten Depostits of South-Central Idaho. Includes assay data.

Exploration for possible economic vein-style and structurally controlled gold with Adelaidean bedrock sediments in an area located between the towns of Yunta and Manna Hill was conducted using low cost remote sensing, geochemical and geophysical... Exploration for possible economic vein-style and structurally controlled gold with Adelaidean bedrock sediments in an area located between the towns of Yunta and Manna Hill was conducted using low cost remote sensing, geochemical and geophysical methods. The subject licence was applied for to allow exploration for buried high grade gold mineralisation that might possibly have formed within stratigraphic and structural positions akin to those seen at the historic Manna Hill Goldfield. It was also intended to follow-up a cluster of still untested base metal geochemical anomalies previously identified by CRA Exploration as being associated with shallowly buried Umberatana Group bedrock metasediments. During the first licence year, a compilation and preliminary interpretation of available airborne geophysical survey data was commissioned from Hawke Geophysics. An attempt was made to map fault sets in the basement, but it was hampered by virtue of the existing wide magnetic grid. Because strong fault control is associated with copper deposits elsewhere in the Adelaide Geosyncline, the collection of detailed airborne magnetic and radiometric data was recommended to assist with the mapping of stratigraphy and potentially prospective structures. New on-ground field work consisted of geological mapping, rock chip sampling, and soil geochemical sampling and analysis done through the use of portable XRF spectrochemical scanning instruments, with the aim of identifying any signs of Telfer style copper-gold mineralisation. 527 soil samples from sites spaced 100 m apart were scanned, with some sampling infill to 50 m spacing to better resolve anomalies. During the second licence year, Earthscan was contracted to obtain and interpret satellite imagery covering EL 3973, to try to detect evidence of hydrothermal alteration that is associated with faults or stratigraphic unit boundaries. As well, 745 additional FPXRF soil scans were performed at 100 m intervals along traverses spaced 400 m apart. During the third licence year, Panda Mining acquired 8834.5 line km of new aeromagnetic / radiometric / DTM coverage across the Manna Hill Project acreage during April 2010, which GPX Surveys flew along north-south lines spaced 140 m apart, using a mean sensor height of 45 m above the ground surface. The resulting data were interpreted for Panda Mining by Southern Geoscience Consultants. New on-ground work comprised follow-up of the previous soil geochemical sample and rock chip sample anomalies, geological investigations of features of possible interest identified by the recent LandSat image and airborne geophysical survey data interpretations, plus making an evaluation of the gold prospectivity of the historic Cockscomb Hill copper workings located on the southern flank of the Winnininnie Dome. Here the licensee's grab sampling of rock chips had returned up to 46 g/t Au, but more generally around 1-2 g/t, from stacked, gossanous quartz/haematite/limonite (after siderite) veins spread disjointedly along ~2.2 km of fault-offset interbedded shale/siltstone units. Geological mapping was done by Martin Spence at 1:5000 scale along north-south traverses 100 m apart, which identified a thrust fault above the mineralised zone and later dilatant, conjugate wrench faults that seem to have caused multiple phases of veining and locally intense alteration. It was concluded that a more detailed evaluation of extent of this gold occurrence was needed, that should include step-out surface geochemical sampling towards the north and west attended by further detailed geological mapping, plus trenching and channel sampling of the more significant veins. It was also surmised by Panda Mining that the prospect area was formerly covered with a Tertiary laterite horizon that has been stripped during subsequent uplift of the present day range. Therefore the probability was that today’s oxide horizon is partially depleted in a number of elements including gold. Consequently it was suggested that drilling should be undertaken to test within and below the oxidised horizon. No work was performed on EL 3973 during the fourth licence year. During the fifth licence year, work commenced on the Big Dam prospect located near Yunta, where 98 rock chip grab samples for gold assay were collected along north-south traverses from gossanous quartz veins, a gossan with visible copper minerals, ironstone veins and altered country rock. Here the sheeted quartz veins extend for >700 m strike length. They were worked historically on a small scale for gold, silver and copper as the Winnininnie occurrence, but the grades found and quantities mined are unknown. During the sixth licence year, Panda Mining resumed doing FPXRF soil geochemical scans over some geophysical anomalies on the recently renewed EL 5189. 434 such scans were made at 50 m intervals along traverse lines spaced 100 apart. 11 rock chip samples were also collected from various locations to the west of Cockscomb Hill. Two Work Area Clearances were obtained from representatives of local Native Title groups to allow access for the conduct of ground disturbing activities in this part of the licence area. A re-assessment of the XRF geochemical results was undertaken to see whether a recognised gold mineralising event (Telfer style or other) had taken place. The data coverage is partly incomplete, but taken together with the recorded historically worked grades, Panda Mining decided that there was enough justification to continue with exploration on this EL. The majority of gold mineralisation within EL 5189 appeared to be of epigenetic origin. These deposits were thought to have formed as veins of quartz-sulphide, with the gold primarily associated with the sulphide phase. As areas of outcrop of the mineralised vein systems had been systematically explored by past workers without the identification of a significant tonnage resource, it was recommended that future work be aimed at targeting the potential for concealed mineralisation in areas of shallow alluvial cover. In the near future, exploration would be based along interpreted structural trends which were believed to control epigenetic Au-Pb-Ag mineralisation at locations like the Boomerang and Golden Dewdrop mining areas. Minor, discontinuous magnetic anomalies along these trends were seen as possible direct indicators of the sulphide rich quartz veins, with pyrrhotite considered the most likely source of the anomalies. During licence Year 7, further field geological mapping and rock chip sampling (59 samples collected) were performed. Following receipt of the outcrop chip assay results, portable XRF spectrochemical scans were made as infill to previous FPXRF sampling, using a 50 m sample spacing (455 sites scanned). A single inclined RC exploratory hole was completed to 300 m hole depth at the Cockscomb Hill prospect during October 2014, to test the possible geological models proposed by Martin Spence. Hole CCB001 was collared within the antiform structure in the Ulupa Siltstone, and was drilled north-northwestwards at 60 degrees inclination through the Seacliff Sandstone, Ketchowla Siltstone and only 4-5 m of the Grampus Quartzite. No significant mineralisation was encountered. No further work was done on the tenement over the succeeding 35+ months before the decision was made to fully surrender tenure.

The 3D Terrestrial Laser Scanner market, valued at $2611 million in 2025, exhibits robust growth potential, projected to expand at a Compound Annual Growth Rate (CAGR) of 6.9% from 2025 to 2033. This growth is driven by increasing demand across diverse sectors like oil & gas, mining, and infrastructure, where precise 3D data acquisition is crucial for efficient operations, asset management, and safety. Advancements in sensor technology, leading to higher accuracy, faster scan speeds, and improved data processing capabilities, further fuel market expansion. The rising adoption of Building Information Modeling (BIM) and the need for detailed as-built documentation in construction projects are key factors propelling market growth. Furthermore, the integration of 3D laser scanning with other technologies, such as GPS and photogrammetry, enhances data quality and application versatility, attracting broader user adoption. Segmentation by maximum measuring distance (less than 500m, 500-1000m, and greater than 1000m) reflects the varied needs of different applications, with the longer-range scanners likely seeing increased demand in large-scale projects like infrastructure development and open-pit mining. The market's geographical distribution is expected to be diverse, with North America and Europe currently holding significant market shares. However, rapidly developing economies in Asia-Pacific, particularly China and India, are poised for substantial growth, driven by increasing infrastructure investments and industrialization. While challenges like high initial investment costs for advanced systems and the need for skilled professionals to operate and process the data exist, the overall market outlook remains positive. The ongoing technological advancements, coupled with increasing applications across various industry verticals, are expected to offset these restraints, ensuring sustained market expansion throughout the forecast period. Competition among established players such as Hexagon Geosystems, Trimble, and others is likely to intensify, further driving innovation and potentially leading to more affordable and accessible solutions. This comprehensive report provides a detailed analysis of the global 3D Terrestrial Laser Scanner market, projecting a multi-million-dollar valuation by 2033. The study covers the period from 2019 to 2033, with 2025 serving as both the base and estimated year. It offers invaluable insights for businesses involved in 3D laser scanning, point cloud processing, digital twin creation, geospatial data acquisition, and surveying technologies. This report is crucial for understanding market trends, competitive dynamics, and future growth opportunities within this rapidly evolving sector.