Read our case study about MGGP Aero and the Regional Tree Crown Map.
About the project
In this case study, dive into the groundbreaking project where MGGP Aero harnessed the power of FME Platform to process over 19TB of data, including LiDAR data, and craft the Regional Tree Crown Map, an extensive database covering over 5 billion trees in Poland.
Established in 2001 in Tarnów, Poland, MGGP Aero specializes in acquiring vertical and oblique aerial photographs, satellite imagery, hyperspectral data, thermal images, and LiDAR data. The company excels in creating inventories, performing analyses of urban areas and the natural environment through remote sensing methods, and providing 3D modeling services.
Following amendments to geodesy and cartography laws in July 2020, the Head Office of Geodesy and Cartography released its Central Geodetic and Cartographic Resource. Geospatial data resources, maps, topography and utility information, 3D models, and other resources have become publicly accessible. Among the released data, the classified LiDAR point cloud covering the entire country, acquired through airborne laser scanning, marked a crucial milestone.
MGGP Aero seized this opportunity for its research & development project, the Regional Tree Crown Map, leveraging the released point cloud and LiDAR data.
What inspired the vision for the Regional Tree Crown Map?
The inspiration behind the Regional Tree Crown Map was to provide free access to comprehensive information about Poland’s trees and their locations.
The Tree Map was created primarily for nature conservation reasons. It not only equips landscape managers with detailed tree information but also caters to residents eager to enhance their understanding of the environmental conditions in their vicinity. The provision of detailed and easily accessible data on trees across the country is indispensable for various sectors, including forestry, agriculture, environmental protection, and infrastructure planning.
Functioning as a dynamic tool, the Tree Map captures tree count fluctuations over time, empowering Polish society to make well-informed decisions about their environment. The project also poses a great opportunity to showcase the potential of aerial remote sensing, highlighting the capabilities of aerial and satellite data.
The role of trees in cities
Delve into the importance of trees in the face of climate change and their economic, recreational, and protective significance:
The impact of trees on urban temperatures
A comparison of temperatures in areas with ample tree coverage versus areas with limited trees.
On October 5th, 2021, The Regional Tree Crown Map was launched at www.mapadrzew.com
The website was crafted using the OBLIVIEW® technology developed by MGGP Aero since 2019. The solution is publicly available through an open web app and a mobile app, with plans for further development in the crowdsourcing model.
The tree height map in the Regional Tree Crown Map application
The Regional Tree Crown Map stands as the most thorough, free database about Polish trees. It includes information about more than 5 billion trees over 4 meters tall and with a crown of over 9 square meters wide. The information encompasses tree locations, heights, as well as crown dimensions and volumes. Additionally, the Map presents the number of trees and total tree crown surface dimensions within an area defined by the user or in defined height ranges. The Map also allows users to analyze tree crown locations in regards to roads, land lots, borders, and buildings.
Additionally, paid access to the service provides an option to calculate statistics for larger numbers of trees and download a selected Map area as a vector layer.
Tree parameters on the Regional Tree Crown Map™
In 2021, the Regional Tree Crown Map won first place in the Head of Geodesy and Cartography competition. The map was named the best project using open data in the category “Publically available app or website using data and services provided by the Head Office of Geodesy and Cartography”.
The Regional Tree Map in numbers:
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