LiDAR – DTM model

Job description

This project focuses on generating a Digital Terrain Model (DTM) using LiDAR data.
DTM model

The main goal is to create an accurate and detailed DTM representing the terrain features of the surveyed area.Before the creation process, a comprehensive classification of the point cloud data was conducted, combining automated and manual methods for accuracy.

DTM model

Have a similar project?

Contact us, we’ll help with its implementation.

    United Kingdom

    Devonshire str., 41, Ground Floor, London W1G 7AJ, UK

    Estonia

    Harju maakond, Tallinn, Kesklinna linnaosa, Kaupmehe tn 7-120, 10114, Estonia

    Ukraine

    Ukraine, Lviv, Sadova street, 2a/1
    +380672088520 Ievgen Lavrishko
info@gis-point.com

    SOFT – Software development for a weather forecast program

    Job description

    This project focuses on generating a Digital Terrain Model (DTM) using LiDAR data.
    DTM model

    The main goal is to create an accurate and detailed DTM representing the terrain features of the surveyed area.Before the creation process, a comprehensive classification of the point cloud data was conducted, combining automated and manual methods for accuracy.

    DTM model

    Process & Challenges

    Process:

    • Identifying client requirements and determining the weather parameters to be displayed on the platform.
    • Designing the system architecture to support large volumes of real-time weather data.
    • Integrating the Windy API and other weather data sources.
    • Developing an admin panel to manage user functions and permissions.
    • Testing the platform’s functionality and optimizing performance to handle large data loads.

     

    Challenges:

    • API Integration: Ensuring correct and fast integration with the Windy API for real-time weather data processing and visualization.
    • Data Visualization: Creating an intuitive interface to display complex weather parameters in a simple and understandable form.
    • Scalability: The platform needed to handle a large flow of data, ensuring stable performance for multiple users simultaneously.
    • Multilingual Support: Implementing multilingual support for users from different countries.

    Result

    The result was the creation of a powerful platform that provides users with accurate real-time weather data. The platform significantly improved decision-making for users in sectors such as transport, agriculture, and emergency services. Thanks to the integration with the Windy API, users can track extreme weather events, allowing for timely responses to potential risks.

    Our Team

    Ievgen Lavrishko
    CEO & Owner
    Khrystyna Bochko
    HR Generalist
    Alevtyna Kostianchuk
    Senior Project Manager
    Andriiana Pavlyshyn
    Head of Business Development
    Roman Nahaiovskyi
    Project Manager
    Maria Kizim
    Lead Generation Specialist
    Ivanna Soltys
    Tender Manager

    Navigating Our Impressive SOFT Portfolio

    • Development software for a soil subsidence

      Development software for a soil subsidence
    • Tracking system for public transport

      The system is designed to comprehensively address the issues of public passenger transport
    • Software for bus forecasting tables

      Develop software for public transport which display on tables arrival information about bus, tram and trolleybus.
    • Development of a Satellite Images Sales Platform 

      A portal for the sale of satellite images
    • Oil and gas software products

      Software Development for the energy industry to control and track of logistics, drilling, mining.

    Working on the Project:
    A Step-by-Step Journey to Success

    01

    PREPARATION

    You give us a pilot project – set us a
    task, provide samples, templates,
    instructions.
    02

    PILOT PROJECT

    We carry out this pilot project
    for FREE, according to all your
    instructions.
    03

    AGREEMENT

    You evaluate our work, we agree on
    the cost of further work.
    04

    LET’S STARTED!

    We sign a cooperation agreement and
    NDA, after which our team gets to
    work.

    Have a similar project?

    Contact us, we’ll help with its implementation.

      United Kingdom

      Devonshire str., 41, Ground Floor, London W1G 7AJ, UK

      Estonia

      Harju maakond, Tallinn, Kesklinna linnaosa, Kaupmehe tn 7-120, 10114, Estonia

      Ukraine

      Ukraine, Lviv, Sadova street, 2a/1
      +380672088520 Ievgen Lavrishko
info@gis-point.com

      SOFT – A portal for the sale of satellite images

      Job description

      This project focuses on generating a Digital Terrain Model (DTM) using LiDAR data.
      DTM model

      The main goal is to create an accurate and detailed DTM representing the terrain features of the surveyed area.Before the creation process, a comprehensive classification of the point cloud data was conducted, combining automated and manual methods for accuracy.

      DTM model

      Process & Challenges

      Process:

      The development process included:

      • Requirement analysis and client consultations
      • Designing a scalable architecture using AWS cloud services
      • Development of the backend using .Net
      • Front-end development using Angular
      • Integration of satellite imagery data processing and geospatial analytics tools
      • Testing and optimization for high performance under heavy loads

      Challenges:

      • Real-time Data Processing: The platform needed to handle large datasets and provide near real-time updates for satellite imagery.
      • User Accessibility: The client required an intuitive interface that could be used by non-experts while still offering advanced features for professional users.
      • Cloud Integration: Ensuring seamless cloud-based storage and processing to handle the large volume of satellite images efficiently.

      Result

      The platform allowed the consulting company to provide a unique service in Saudi Arabia, offering sateallite imagery and advanced analytics to a broader audience. It became a valuable tool for various sectors, including agriculture, urban planning, and environmental monitoring. Users can now quickly acquire up-to-date geospatial data and perform analyses without needing expert knowledge in the field.

      Our Team

      Ievgen Lavrishko
      CEO & Owner
      Khrystyna Bochko
      HR Generalist
      Alevtyna Kostianchuk
      Senior Project Manager
      Andriiana Pavlyshyn
      Head of Business Development
      Roman Nahaiovskyi
      Project Manager
      Maria Kizim
      Lead Generation Specialist
      Ivanna Soltys
      Tender Manager

      Navigating Our Impressive SOFT Portfolio

      • Development software for a soil subsidence

        Development software for a soil subsidence
      • Logistic/crm applications for senders and carriers

        Software solution to manage all transportation processes and activities across logistics networks.
      • Oil and gas software products

        Software Development for the energy industry to control and track of logistics, drilling, mining.
      • Software development for a weather forecast program

        Software development for a weather forecast program
      • Software for bus forecasting tables

        Develop software for public transport which display on tables arrival information about bus, tram and trolleybus.

      Working on the Project:
      A Step-by-Step Journey to Success

      01

      PREPARATION

      You give us a pilot project – set us a
      task, provide samples, templates,
      instructions.
      02

      PILOT PROJECT

      We carry out this pilot project
      for FREE, according to all your
      instructions.
      03

      AGREEMENT

      You evaluate our work, we agree on
      the cost of further work
      04

      LET’S STARTED!

      We sign a cooperation agreement and
      NDA, after which our team gets to
      work.

      Have a similar project?

      Contact us, we’ll help with its implementation.

        United Kingdom

        Devonshire str., 41, Ground Floor, London W1G 7AJ, UK

        Estonia

        Harju maakond, Tallinn, Kesklinna linnaosa, Kaupmehe tn 7-120, 10114, Estonia

        Ukraine

        Ukraine, Lviv, Sadova street, 2a/1
        +380672088520 Ievgen Lavrishko
info@gis-point.com

        LiDAR point cloud classification mobile scanning

        Job description

        This project focuses on generating a Digital Terrain Model (DTM) using LiDAR data.
        DTM model

        The main goal is to create an accurate and detailed DTM representing the terrain features of the surveyed area.Before the creation process, a comprehensive classification of the point cloud data was conducted, combining automated and manual methods for accuracy.

        DTM model

        Have a similar project?

        Contact us, we’ll help with its implementation.

          United Kingdom

          Devonshire str., 41, Ground Floor, London W1G 7AJ, UK

          Estonia

          Harju maakond, Tallinn, Kesklinna linnaosa, Kaupmehe tn 7-120, 10114, Estonia

          Ukraine

          Ukraine, Lviv, Sadova street, 2a/1
          +380672088520 Ievgen Lavrishko
info@gis-point.com

          GIS – Topological Verification and Correction of Seafloor Maps

          Job description

          This project focuses on generating a Digital Terrain Model (DTM) using LiDAR data.
          DTM model

          The main goal is to create an accurate and detailed DTM representing the terrain features of the surveyed area.Before the creation process, a comprehensive classification of the point cloud data was conducted, combining automated and manual methods for accuracy.

          DTM model

          Process & Challenges

          Process:
          The process began with an in-depth analysis of the seabed mapping data, focusing on detecting and correcting topological errors. We identified the most efficient methods to resolve these issues, ensuring that the solution would minimize time without compromising on accuracy. The standard checks included ensuring that objects do not overlap (“Must Not Overlap”), eliminating any gaps between polygons (“Must Not Have Gaps”), and verifying that polygons did not exceed a specified maximum size (e.g., “Polygons must have a maximum size of 1 square meter”). These steps were executed meticulously using the capabilities of ArcGIS software

          Challenges:
          The primary challenge was managing the specialized nature of the seabed maps, which required particular attention to the unique characteristics of marine cartography. These high-precision maps demanded a careful approach to topological corrections, ensuring that every adjustment was in line with the strict mapping standards. Additionally, the large volumes of data needed to be processed efficiently to maintain accuracy.

          Result

          The project successfully improved the topological integrity of the seabed mapping data, resulting in more reliable and accurate maps for the client’s marine applications. This enhancement has significant implications for the safety and efficiency of marine operations relying on these maps.

          Our Team

          Ievgen Lavrishko
          CEO & Owner
          Khrystyna Bochko
          HR Generalist
          Alevtyna Kostianchuk
          Senior Project Manager
          Andriiana Pavlyshyn
          Head of Business Development
          Roman Nahaiovskyi
          Project Manager
          Maria Kizim
          Lead Generation Specialist
          Ivanna Soltys
          Tender Manager

          Navigating Our Impressive GIS Portfolio

          • Fulfillment of government orders to create and update databases

            Location:

            Poland

            The databases are created and updated by vectorizing existing raster data (topographic maps), orthophotomaps and processing geodetic files and land documentation (by coordinates and sketches).
          • Geospatial Analysis and Image Processing

            Location:

            Poland

            Editing the automatically generated database of motorways, bridges and roads.
          • Processing of cadastral plots

            Location:

            Ukraine

            Our GIS specialists performed a complete data conversion, meeting all the client’s requirements and ensuring high quality of information processing.
          • Precision 2D Vector Map Creating at 1500 Scale

            Location:

            Latvia

            Precision 2D Vector Map Creating at 1500 Scale
          • Updating the existing database of residential buildings

            Location:

            Poland

            The project involved validating the current entries in the database for accuracy and completeness, identifying and adding new buildings that were absent from the existing database, and rectifying any geometric discrepancies in building representations.

          Working on the Project:
          A Step-by-Step Journey to Success

          01

          PREPARATION

          You give us a pilot project – set us a
          task, provide samples, templates,
          instructions.
          02

          PILOT PROJECT

          We carry out this pilot project
          for FREE, according to all your
          instructions.
          03

          AGREEMENT

          You evaluate our work, we agree on
          the cost of further work.
          04

          LET’S STARTED!

          We sign a cooperation agreement and
          NDA, after which our team gets to
          work.

          Have a similar project?

          Contact us, we’ll help with its implementation.

            United Kingdom

            Devonshire str., 41, Ground Floor, London W1G 7AJ, UK

            Estonia

            Harju maakond, Tallinn, Kesklinna linnaosa, Kaupmehe tn 7-120, 10114, Estonia

            Ukraine

            Ukraine, Lviv, Sadova street, 2a/1
            +380672088520 Ievgen Lavrishko
info@gis-point.com

            GIS – Updating the existing database of residential buildings (orthophoto, Street View, topographic maps)

            Job description

            This project focuses on generating a Digital Terrain Model (DTM) using LiDAR data.
            DTM model

            The main goal is to create an accurate and detailed DTM representing the terrain features of the surveyed area.Before the creation process, a comprehensive classification of the point cloud data was conducted, combining automated and manual methods for accuracy.

            DTM model

            Have a similar project?

            Contact us, we’ll help with its implementation.

              United Kingdom

              Devonshire str., 41, Ground Floor, London W1G 7AJ, UK

              Estonia

              Harju maakond, Tallinn, Kesklinna linnaosa, Kaupmehe tn 7-120, 10114, Estonia

              Ukraine

              Ukraine, Lviv, Sadova street, 2a/1
              +380672088520 Ievgen Lavrishko
info@gis-point.com

              GIS – Precision 2D Vector Map Creating at 1500 Scale

              Job description

              This project focuses on generating a Digital Terrain Model (DTM) using LiDAR data.
              DTM model

              The main goal is to create an accurate and detailed DTM representing the terrain features of the surveyed area.Before the creation process, a comprehensive classification of the point cloud data was conducted, combining automated and manual methods for accuracy.

              DTM model

              Process & Challenges

              Process:
              Data analysis: Detailed analysis of lidar data and orthophotos to identify terrain features, infrastructure and other elements to be vectorised.

              Terrain vectorisation:

              Horizontals: Create horizontals in 0.5 m increments for detailed mapping of landforms.

              Elevations: Placement of elevation marks in 20 m increments on roads and at characteristic terrain points (highest and lowest points). In other areas (forest, meadow, etc.), elevations were placed in 15 m increments.

              Linear objects: Vectorisation of ditches, rivers, ravines and other linear terrain features.

              Vectorisation of infrastructure objects: Vectorisation of roads, buildings, green spaces and other infrastructure objects based on orthophoto and lidar data.

              Quality control: Perform detailed visual and attribute quality control of vectorisation to identify and correct errors.

               

              Challenges:
              Data volume: Large amounts of LiDAR data requiring powerful hardware and efficient processing algorithms.

              Detail: High requirements for topographic map detail, requiring careful data analysis and manual revision.

              Regulatory framework: The need to comply with Latvian legislation on the creation of topographic maps.

              Result

              GisPoint successfully completed a project to create detailed topographic maps at a scale of 1:500 with a total area of 185.55 hectares. The resulting maps comply with Latvian legislation and can be used for: Territory Planning: Development of urban planning documentation, infrastructure design. Engineering Calculations: Design of roads, bridges, engineering networks. Cadastre: Registration of land plots, determination of property boundaries. Other Purposes: Scientific research, monitoring changes in the terrain, etc.

              Our Team

              Ievgen Lavrishko
              CEO & Owner
              Khrystyna Bochko
              HR Generalist
              Alevtyna Kostianchuk
              Senior Project Manager
              Andriiana Pavlyshyn
              Head of Business Development
              Roman Nahaiovskyi
              Project Manager
              Maria Kizim
              Lead Generation Specialist
              Ivanna Soltys
              Tender Manager

              Navigating Our Impressive GIS Portfolio

              • Automatic tree recognition from orthophotos

                Location:

                Germany

                Automatic Tree Recognition with ArcGIS Pro is a project that aims to develop and implement an algorithm for automatic recognition of tree species based on remote sensing data.
              • Digitizing utility service connections

                Location:

                Canada

                The project encompasses the digitization of utility service connections, specifically for water, sewer, and storm services, spanning across 12,706 properties (parcels) within the City.
              • Fulfillment of government orders to create and update databases

                Location:

                Poland

                The databases are created and updated by vectorizing existing raster data (topographic maps), orthophotomaps and processing geodetic files and land documentation (by coordinates and sketches).
              • Geospatial Analysis and Image Processing

                Location:

                Poland

                Editing the automatically generated database of motorways, bridges and roads.
              • Vectorization of roads and road signs

                Location:

                Czech Republic, Prostejov

                To create a 2D vector map in the city of Prostejov that includes road infrastructure and road signs.

              Working on the Project:
              A Step-by-Step Journey to Success

              01

              PREPARATION

              You give us a pilot project – set us a
              task, provide samples, templates,
              instructions.
              02

              PILOT PROJECT

              We carry out this pilot project
              for FREE, according to all your
              instructions.
              03

              AGREEMENT

              You evaluate our work, we agree on
              the cost of further work.
              04

              LET’S STARTED!

              We sign a cooperation agreement and
              NDA, after which our team gets to
              work.

              Have a similar project?

              Contact us, we’ll help with its implementation.

                United Kingdom

                Devonshire str., 41, Ground Floor, London W1G 7AJ, UK

                Estonia

                Harju maakond, Tallinn, Kesklinna linnaosa, Kaupmehe tn 7-120, 10114, Estonia

                Ukraine

                Ukraine, Lviv, Sadova street, 2a/1
                +380672088520 Ievgen Lavrishko
info@gis-point.com

                LiDAR – Forest inventory

                Job description

                This project focuses on generating a Digital Terrain Model (DTM) using LiDAR data.
                DTM model

                The main goal is to create an accurate and detailed DTM representing the terrain features of the surveyed area.Before the creation process, a comprehensive classification of the point cloud data was conducted, combining automated and manual methods for accuracy.

                DTM model

                Have a similar project?

                Contact us, we’ll help with its implementation.

                  United Kingdom

                  Devonshire str., 41, Ground Floor, London W1G 7AJ, UK

                  Estonia

                  Harju maakond, Tallinn, Kesklinna linnaosa, Kaupmehe tn 7-120, 10114, Estonia

                  Ukraine

                  Ukraine, Lviv, Sadova street, 2a/1
                  +380672088520 Ievgen Lavrishko
info@gis-point.com

                  LiDAR – Laser scanning of McDonald’s

                  Job description

                  This project focuses on generating a Digital Terrain Model (DTM) using LiDAR data.
                  DTM model

                  The main goal is to create an accurate and detailed DTM representing the terrain features of the surveyed area.Before the creation process, a comprehensive classification of the point cloud data was conducted, combining automated and manual methods for accuracy.

                  DTM model

                  Have a similar project?

                  Contact us, we’ll help with its implementation.

                    United Kingdom

                    Devonshire str., 41, Ground Floor, London W1G 7AJ, UK

                    Estonia

                    Harju maakond, Tallinn, Kesklinna linnaosa, Kaupmehe tn 7-120, 10114, Estonia

                    Ukraine

                    Ukraine, Lviv, Sadova street, 2a/1
                    +380672088520 Ievgen Lavrishko
info@gis-point.com

                    LiDAR – Laser scanning of Kulparkivskyi Bridge Lviv,Ukraine

                    Job description

                    This project focuses on generating a Digital Terrain Model (DTM) using LiDAR data.
                    DTM model

                    The main goal is to create an accurate and detailed DTM representing the terrain features of the surveyed area.Before the creation process, a comprehensive classification of the point cloud data was conducted, combining automated and manual methods for accuracy.

                    DTM model

                    Have a similar project?

                    Contact us, we’ll help with its implementation.

                      United Kingdom

                      Devonshire str., 41, Ground Floor, London W1G 7AJ, UK

                      Estonia

                      Harju maakond, Tallinn, Kesklinna linnaosa, Kaupmehe tn 7-120, 10114, Estonia

                      Ukraine

                      Ukraine, Lviv, Sadova street, 2a/1
                      +380672088520 Ievgen Lavrishko
info@gis-point.com