Research Report Trends’ Post

📍 GIS: More Than a Buzzword—The Foundation of Complete Land Management 🗺️ For many in the energy sector, GIS is a term thrown around at conventions like NAPE, yet it often remains underutilized within organizations. But the reality is, GIS isn’t just another tech trend—it’s a game-changing tool that gives companies a competitive edge through smarter land management, spatial analysis, and real-time asset tracking. At Mapmatics GIS, we build tailored GIS systems that go beyond maps. Our solutions help companies: ✅ Centralize Land Records – Eliminate scattered data with one streamlined system for leases, ownerships, and infrastructure. ✅ Visualize Opportunities – Identify trends and optimize planning by mapping key data points and patterns. ✅ Mitigate Risks – Reduce costly mistakes with accurate spatial insights before making major decisions. ✅ Generate Reports Effortlessly – Create dynamic, web-based maps and reports to keep stakeholders informed. GIS empowers you to transform raw data into actionable insights. Don’t let it be just a buzzword—unlock its full potential to gain clarity, make faster decisions, and optimize operations. Let’s talk about how Mapmatics GIS can transform your business. Learn more at mapmatics.co and see how a robust GIS can be the difference-maker for your company. #MapmaticsGIS #LandManagement #GISForEnergy #SpatialAnalysis #DataDrivenDecisions

Get Professional Field-to-Finish Results with ROCK Pro Services! 💡 ⚫️ Background: A client approached ROCK Pro Services with a specific challenge involving DJI L1 data. The project's complexity lay in its limited data capture, which only included vertical alignment. This limitation resulted in significantly misaligned targets, jeopardizing the project's success. 🟡 Challenge: The primary obstacle was the data's vertical-only capture by the L1, leading to misaligned targets. This misalignment posed a significant risk to the accuracy and reliability of the project's outcome. ⚫️ Solution: ROCK Pro Services deployed an innovative approach to overcome this challenge. Jamie L., our expert GIS Analyst, utilized the 'Strip Alignment' feature within the ROCK Cloud Processing Platform. This specialized tool was pivotal in aligning the separate pieces of the L1 LiDAR data. 🟡 Outcome: The newly aligned dataset featured perfectly aligned Ground Control Points (GCPs), vastly exceeding the client's expectations. This success underscored the importance of utilizing the right tools and the value of expert intervention in challenging data processing scenarios. ⚫️ Conclusion: This case study exemplifies ROCK Pro Services' commitment to solving complex data challenges through innovation and skilled expertise. It demonstrates our ability to adapt and deliver exceptional results. 🤔 Are you facing similar challenges with your data? Contact ROCK Pro Services today to discuss how we can transform your data processing projects into success stories! 💬 Get Started Now: https://lnkd.in/gJ_APxCw #ROCKProServices #CaseStudy #DJI #LiDAR #LandSurveying #FieldtoFinish #GIS #DataPrecision #ClientSuccess #InnovationInAction

🚀 Unlock Geospatial Excellence with Jennings Geomatics! 🌍 After an incredibly busy first half of the year, we have some spare capacity and are ready to take on new projects! At Jennings Geomatics, we specialise in delivering cutting-edge geomatics consulting services that drive productivity and efficiency. Whether you’re in construction, environmental, or infrastructure sectors, our comprehensive solutions are tailored to meet your unique project needs. 🔍 Data Capture - We utilise TLS, SLAM scanning, point cloud AI, and high-precision survey technologies, combined with traditional workflows, to collect and process geospatial data with unparalleled accuracy. Our affordable reality capture solutions provide detailed 3D models and virtual environments, enhancing project planning and execution. Often companies use laser scanners and it is slege hammer to crack a nut. Are you interested in lower precison systems, cheaper and better suited to client requirements? Let us know we can suggest the right tools for the job. 📈 Business Systems Innovation is at our core. We develop bespoke solutions that meet the evolving needs of the geospatial industry. Our strategic guidance in sales and business development helps you identify new market opportunities, optimise sales processes, and drive business growth. 💡 Sales and Process Improvement Through New Technology We excel in process writing, creating clear and concise documentation that outlines best practices. Our commitment to adopting new technologies ensures consistency and enhances efficiency across your projects. 🎓 Training Empower your team with our comprehensive training programmes. We ensure proficiency in the latest geospatial tools and techniques, developing customised workflows that streamline operations and improve data accuracy. At Jennings Geomatics, we collaborate closely with clients to understand their specific needs and deliver tailored solutions. With our spare capacity, now is the perfect time to partner with us and achieve excellence in your geospatial projects. Contact us today! +447471790509 Let’s elevate your projects to new heights with precision and efficiency. 📞📧 #Geomatics #DataCapture #BusinessSystems #ProcessImprovement #Training #GeospatialExcellence #Innovation #JenningsGeomatics

Geospatial" refers to the use of data that is associated with a specific location on the Earth's surface. This term is often used in the context of technologies and practices that capture, store, analyze, and visualize geographic information. Geospatial data typically includes coordinates, maps, and satellite imagery, which are utilized in various applications such as mapping, navigation, and geographic information systems (GIS). Key components and uses of geospatial data include: 1. Geographic Information Systems (GIS): - GIS is a framework for gathering, managing, and analyzing spatial and geographic data. GIS integrates various data types and enables users to visualize, question, analyze, and interpret data to understand relationships, patterns, and trends. 2. Remote Sensing: - Remote sensing involves capturing images or data about the Earth's surface using satellites or aircraft. This data can be used for environmental monitoring, urban planning, agriculture, and more. 3. Global Positioning System (GPS): - GPS is a satellite-based navigation system that provides location and time information anywhere on or near the Earth. GPS is widely used in mapping, navigation, and geolocation services. 4. Cartography: - The art and science of making maps, cartography uses geospatial data to create visual representations of geographical areas. Applications of Geospatial Data :- - Urban Planning and Management: Geospatial data helps in planning and managing urban infrastructure, zoning, and transportation networks. - Environmental Monitoring: Monitoring and managing natural resources, assessing environmental impacts, and tracking changes in ecosystems. - Agriculture: Precision farming uses geospatial data to optimize field-level management regarding crop farming. - Disaster Management: Assessing risk areas, planning for emergency responses, and post-disaster recovery efforts. - Navigation and Location-Based Services: Providing real-time navigation, traffic updates, and location-based services for users. - Public Health: Tracking disease outbreaks, planning healthcare facilities, and managing public health data spatially. In essence, "geospatial" encapsulates any data and associated technologies that relate to the geography and location of objects on Earth, providing valuable insights and aiding in decision-making across a variety of fields.

News: Mangroves along TN coast to be mapped using geospatial tech, AI Exciting developments are underway as we leverage cutting-edge geospatial technology and artificial intelligence to map the mangroves along the Tamil Nadu coast. This initiative is not just about mapping; it's about understanding and preserving one of our planet's most vital ecosystems. How will geospatial technology improve the accuracy of mangrove mapping? Geospatial technology, including remote sensing and GIS, can significantly improve the accuracy of mangrove mapping in several ways: 1. Leveraging satellite imagery: By analyzing high-resolution satellite data, such as Sentinel and Landsat images, researchers can accurately detect and map mangrove forests, even in narrow, degraded patches. This allows for comprehensive monitoring of mangrove cover over time. 2. Applying machine learning algorithms: Advanced techniques like supervised classification using Random Trees (RT) can accurately classify mangrove areas, achieving kappa values in the 90s. Machine learning algorithms can detect subtle differences in spectral signatures to distinguish mangroves from other vegetation classes. 3. Integrating GIS tools: User-friendly GIS software, such as ArcGIS, enables efficient processing and analysis of satellite imagery without requiring complex coding expertise[3]. This makes the technology more accessible for researchers and conservation efforts. 4. Validating with ground truthing: Combining remotely sensed data with field observations and ground truthing is crucial for validating the accuracy of mangrove maps[3]. This ensures that the generated maps accurately represent the actual mangrove distribution on the ground. 5. Monitoring changes over time: By analyzing satellite imagery over decadal scales, researchers can track the spatiotemporal distribution of mangroves, detecting both expansion and decline. This provides valuable insights for informed decision-making and prioritizing conservation actions. In summary, geospatial technology, when applied effectively, can deliver precise, repeatable, and cost-effective assessments of mangrove distribution, enabling reliable monitoring data to support management efforts and increase climate change resilience.

There are many ways to incorporate feature extraction into your Trimble Business Center (TBC) workflows, including this week's tip about using point feature extraction for a manhole. 1. To start this workflow, select the “Point Clouds” tab and click on the “Extract Point Feature” in the extraction section. 2. This will open up the “Extract Point Feature” pane where you can select which type of extraction you want. There are two different options for manhole extraction (photogrammetry and laser scanner) which were included to help ensure accurate results based upon how the dataset was collected. In case of photogrammetric point clouds, use the “Photogrammetry” option, as long as the flying height is adequate enough to create clearly distinguishable features. All other types of data collection, such as terrestrial scanners and mobile mapping data should use the “Laser Scanner” option. For this example, we are using “Manhole - Photogrammetry.” 3. From here, there are two options for proceeding. The user can either manually identify each manhole, or use an automatic extraction method. First we will cover manual extraction, then in steps 6-7 we will cover automated extraction. It is important to note that the point cloud of interest must be activated in the “View Filter Manager,” and it may help to disable point cloud regions that do not contain manholes. 4. With manual extraction selected, click in the “Pick a point…” box and select a manhole you want extracted from the plan or 3D view. When using the manual extraction method, the user is able to click anywhere within the feature and both the center and perimeter of the manhole will be identified. This will populate the “pick a point” box with the newly identified manhole, and the next step is to press “enter” or click on the “Extract Manholes” button. 5. Next, edit the new features point ID, layer and feature code in the “Create Point” section to your desired settings. Underneath is the “Coordinates” section, which automatically populates but is editable if necessary. Lastly, if feature definitions have been imported, the user is able to map selected attributes to the manhole. With these steps complete, click on “add” at the bottom of the pane to generate the newly extracted manhole feature! See additional steps and follow the workflow with screen shots on our blog post here: https://lnkd.in/ggpNycTx

𝐐𝐮𝐢𝐞𝐭𝐥𝐲 𝐭𝐡𝐞𝐫𝐞 𝐢𝐬 𝐚 𝐦𝐚𝐬𝐬𝐢𝐯𝐞 𝐜𝐡𝐚𝐧𝐠𝐞 𝐮𝐧𝐝𝐞𝐫𝐰𝐚𝐲 𝐰𝐡𝐢𝐜𝐡 𝐰𝐢𝐥𝐥 𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦 𝐭𝐡𝐞 𝐠𝐞𝐨𝐬𝐩𝐚𝐭𝐢𝐚𝐥 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲 There have been some fascinating recent acquisitions in the geospatial industry - NV5 acquiring GISinc (now Axim Geospatial) Geospatial and Sanborn acquiring Applied Geographics, Inc. (AppGeo). In addition, Esri recently released ArcGIS Reality; a photogrammetry solution. This trend signifies the convergence of GIS (Geographic Information Systems) and remote sensing technologies. These acquisitions are strategic moves to integrate comprehensive geospatial capabilities under one umbrella. This is a big deal. It will transform how geospatial data is collected, analyzed, and applied. This convergence enables more detailed, accurate, and efficient geospatial solutions, ultimately driving innovation and growth in the industry. What are your thoughts? 𝐆𝐞𝐨𝐬𝐩𝐚𝐭𝐢𝐚𝐥 𝐆𝐫𝐨𝐰𝐭𝐡 𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐛𝐲 𝐆𝐞𝐧𝐀𝐈! We have been leveraging AI to help geospatial companies be innovative in their approach to sales and marketing. Interested in learning more, sign up for a free consultation: https://lnkd.in/gYhrCF-f Download the eBook "𝐘𝐨𝐮𝐫 𝐂𝐨𝐦𝐩𝐥𝐞𝐭𝐞 𝐆𝐮𝐢𝐝𝐞 𝐭𝐨 𝐆𝐞𝐨𝐬𝐩𝐚𝐭𝐢𝐚𝐥 𝐒𝐚𝐥𝐞𝐬 & 𝐌𝐚𝐫𝐤𝐞𝐭𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐆𝐞𝐧𝐀𝐈" to learn more about how to take your geospatial business to the next level: https://lnkd.in/ghJ457MU Like this content? .. Follow me Matt Sheehan for more. #gis #geospatial #spatial #sales #marketing #genai #generativeai

We’re excited to share valuable insights into the power of AI-assisted feature extraction in #mobilemapping! Our thanks to Mapersive (especially Ihab Ezroura and Iwu Emmanuel) for sharing their expertise and to Eric van Rees for crafting this detailed and informative article, which is essential reading for all professionals in the #GIS industry. Read the full article to discover how Mapersive’s SaaS platform leverages AI-assisted feature extraction and asset recognition on 360-degree street view imagery. In this article, we cover: - What is AI-assisted feature extraction? - How does Mapersive’s data pipeline use AI for feature extraction and asset recognition? - How is geospatial imagery georeferenced for precise positioning? - What is the role of LiDAR alongside photogrammetric imagery in the asset recognition data pipeline? Dive into the full article to learn more: https://bit.ly/4cqlZZm #GIS #FeatureExtraction #Innovation

Good tip to extract key assets in Trimble Business Center! Learn to extract manholes from your point cloud data. Whether terrestrial/aerial/mobile LiDAR, precision is just a click away! #californiasurveying #assetmanagement #trimble

Did you know that manholes can be extracted manually in Trimble Business Center by clicking within features or you can do it automatically using detection? #TrimbleGeospatial #PointCloudExtraction #FeatureExtraction #ManholeDetection #TrimbleBusinessCenter #PhotogrammetryWorkflow #LaserScanning