Projects Archive - Page 3 of 6

LiDAR – Create a digital spatial 3D map from mobile lidar scanning data and panoramic images

Job description

To create a digital 3D map from mobile lidar scanning data and panoramic imagery.

Create a digital spatial 3D map from mobile lidar scanning data and panoramic images

The input data is a cloud of Lidar points obtained using mobile Lidar scanning and panoramic images. As additional data, the data from the airborne Lidar scanning and a digital elevation map are used.Based on these data, a digital 3D map of roads and adjacent areas was created with a buffer of 15 meters from the center of the roads. For all objects, attribute information was filled in, indicating the types of objects, their pavement material, and their level relative to the ground surface.

Have a similar project?

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 – Determining the area with snow cover on a mountain range using LiDAR data

Job description

To create a digital 3D map from mobile lidar scanning data and panoramic imagery.

Have a similar project?

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 BDOT topographic database

Job description

To create a digital 3D map from mobile lidar scanning data and panoramic imagery.

Process & Challenges

Process: The project began with leveraging orthophotographs to assess and update the existing topographic database. Our team meticulously verified the accuracy of current topographic features, correcting any discrepancies by adding new objects where gaps were identified. Geometric adjustments were made to ensure all features met contemporary mapping standards, thereby improving spatial accuracy. The attribute table was thoroughly updated with detailed information on object types, materials, and other relevant attributes. We conducted comprehensive topological checks to address and resolve any issues related to object overlap or gaps, ensuring data consistency and integrity. Throughout the process, close coordination was maintained with the client, facilitating a smooth and efficient project execution. Finally, all updates were carefully integrated into the database, enhancing its reliability and usability for various applications.

Challenges: The highly specialized nature of the maps required careful attention to specific mapping characteristics, ensuring that all updates were accurate and reflected the real-world environment.

Result

The topographic database was successfully updated, enhancing its utility for urban planning, infrastructure development, and other applications. The project was completed efficiently, with minimal time spent resolving topological issues.

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.
Topological Verification and Correction of Seafloor Maps

Topological Verification and Correction of Seafloor Maps
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.
Geospatial Analysis and Image Processing

Location:

Poland

Editing the automatically generated database of motorways, bridges and roads.
Updating the existing database of residential buildings

We check the relevance of existing buildings in the database, as well as create new ones (which are not in the existing database), using orthophoto, Street View, topographic maps and other supporting materials.

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

PREPARATION

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

PILOT PROJECT

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

AGREEMENT

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

LET’S STARTED!

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

Have a similar project?

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 – Classification of Lidar point clouds for the city of Oslo

Job description

To create a digital 3D map from mobile lidar scanning data and panoramic imagery.

Have a similar project?

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 – Geospatial Analysis and Image Processing

Job description

To create a digital 3D map from mobile lidar scanning data and panoramic imagery.

Process & Challenges

Process:
The process began with collecting and integrating various geospatial data sources, including orthophoto maps, Street View imagery, and topographic maps. Our team utilized QGIS to import and overlay these datasets, creating a comprehensive framework for data analysis.
We meticulously verified the existing data by cross-referencing it with real-world conditions. This involved inspecting each segment of the infrastructure data to identify discrepancies and inaccuracies. Using QGIS, we corrected the geometry of roads, bridges, and autobahns, adjusting their positions and shapes to align with the actual features represented in the auxiliary materials.
In parallel, we enriched the attribute tables by adding detailed information about the types of infrastructure objects. This included specifying the classifications and characteristics of roads, bridges, and autobahns, which were essential for enhancing the data’s utility and precision.
Throughout the process, we conducted rigorous quality assurance checks. This involved validating that all corrections and updates were accurately reflected and consistent across the database. The final review ensured that the updated geospatial data met the highest standards of accuracy and reliability.

Challenges:
The project faced several challenges, including the extensive 1600+ km length of infrastructure requiring updates. Analyzing a diverse range of input materials – orthophoto maps, Street View imagery, and topographic maps – required detailed examination and cross-referencing. The need for accurate comparison and integration of this data, along with making precise adjustments to geometry and attributes, added to the complexity of the task.

Result

The project successfully updated the geospatial database, improving the accuracy and reliability of infrastructure data in Poland. This enhancement supports better decision-making and planning for infrastructure development.

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).
Precision 2D Vector Map Creating at 1500 Scale

Location:

Latvia

Precision 2D Vector Map Creating at 1500 Scale
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.

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

PREPARATION

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

PILOT PROJECT

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

AGREEMENT

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

LET’S STARTED!

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

Have a similar project?

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

Job description

To create a digital 3D map from mobile lidar scanning data and panoramic imagery.

Process & Challenges

Process: The process began with the collection and analysis of orthophotos, Street View images, and topographic maps to gain a comprehensive understanding of the current state of the building database. Using QGIS, the team verified the accuracy of existing buildings and identified new ones that had not been previously recorded. The geometries of the buildings were corrected where necessary, ensuring that their spatial representation was precise. The team also updated the attributes of the buildings, including details such as type, purpose, and number of floors. In addition, topology checks were performed to ensure that there were no overlaps, gaps, or other inconsistencies in the spatial data. Finally, the attribute database was thoroughly verified and updated to reflect the latest information, ensuring data consistency and reliability. The entire process was carried out meticulously, covering an area of 500+ km².

Challenges: The highly specialized nature of the maps required meticulous attention to specific mapping characteristics, particularly in ensuring the accuracy of building geometries and attributes.

Result

The existing building database was successfully updated with accurate and comprehensive information, reflecting current structures within the covered area.

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.
Geospatial Analysis and Image Processing

Location:

Poland

Editing the automatically generated database of motorways, bridges and roads.
Updating the BDOT topographic database at a scale of 1:10000

Location:

Poland

Using an orthophotomap, we check the relevance of the existing topographic objects in the database, as well as create new ones (which are not in the existing database).
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).

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

PREPARATION

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

PILOT PROJECT

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

AGREEMENT

Contact Form

Thank you!

Create a digital spatial 3D map from mobile LiDAR scanning data

Job description

Have a similar project?

United Kingdom

Estonia

Ukraine

Create a digital spatial 3D map from mobile LiDAR scanning data

Job description

Have a similar project?

United Kingdom

Estonia

Ukraine

Create a digital spatial 3D map from mobile LiDAR scanning data

Job description

Process & Challenges

Result

Our Team

Ievgen Lavrishko

Khrystyna Bochko

Alevtyna Kostianchuk

Andriiana Pavlyshyn

Roman Nahaiovskyi

Maria Kizim

Ivanna Soltys

Navigating Our Impressive GIS Portfolio

Automatic tree recognition from orthophotos

Topological Verification and Correction of Seafloor Maps

Updating the existing database of residential buildings

Geospatial Analysis and Image Processing

Updating the existing database of residential buildings

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

PREPARATION

PILOT PROJECT

AGREEMENT

LET’S STARTED!

Have a similar project?

United Kingdom

Estonia

Ukraine

Create a digital spatial 3D map from mobile LiDAR scanning data

Job description

Have a similar project?

United Kingdom

Estonia

Ukraine

Create a digital spatial 3D map from mobile LiDAR scanning data

Job description

Process & Challenges

Result

Our Team

Ievgen Lavrishko

Khrystyna Bochko

Alevtyna Kostianchuk

Andriiana Pavlyshyn

Roman Nahaiovskyi

Maria Kizim

Ivanna Soltys

Navigating Our Impressive GIS Portfolio

Automatic tree recognition from orthophotos

Digitizing utility service connections

Fulfillment of government orders to create and update databases

Precision 2D Vector Map Creating at 1500 Scale

Processing of cadastral plots

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

PREPARATION

PILOT PROJECT

AGREEMENT

LET’S STARTED!

Have a similar project?

United Kingdom

Estonia

Ukraine

Create a digital spatial 3D map from mobile LiDAR scanning data

Job description

Process & Challenges

Result

Our Team

Ievgen Lavrishko

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

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

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