main menu

Home Import/export Filters DEM Tree measurements References Download Tutorial Contact

Introducing DendroCloud

Three-dimensional point cloud capture devices and data processing are key technologies for detailed 3D forest modelling and precise measurements. DendroCloud is an advanced software solution focused on needs of foresters, forest managers and researchers. It allows to process 3D points clouds and extract high resolution DEM, DSM, classify point clouds, measure and model individual trees.

Key featuries

  • Data import/export
  • Advanced point cloud filters
  • DEM and DSM extraction
  • Tree measurements
  • Professional-quality visualisations


  • High-performance engine
  • Parallel processing
  • Hardware-accelerated 3D visualisation
  • Unlimited point cloud and grid size

Data sources

Three dimensional point clouds describe forests in very high detail and precision. Point clouds are usually captured by terrestrial laser scanning or close-range photogrammetry. DendroCloud supports industrial standards used for point clouds exchange. You can easily import point clouds in LAS, CSV and IGES files. Laser file format (LAS) is most widely used format used for exchange of terrestrial or aerial laser scan data. Processed data can be exported to CSV or VRML. Comma separated values files (CSV) are text files, which contains data in the table form. CSV files can be imported into spreadsheets, databases, statistical and other programs.

Terrestrial laser scanning

Terrestrial laser scanner allows to capture clouds in a short time with high density and accuracy. Point cloud can be colourized by photographs taken by internal camera.

Mobile laser scanning

Laser scanners and cameras mounted on a vehicle is an efficient solution, which is suitable for obtaining point clouds from large areas, including forest roads and forest stands.

Close-range photogrammetry

Close-range photogrammetry is an alternative technology to laser scanning, which allows to derive point clouds from a series of digital photographs.

Point cloud filters

Filtering is a very important step in point cloud proceessing. Filters are used to reduce noise, eliminate false reflections of a laser beam, classify and extract points. Point cloud filters significantly reduce data volume and computation time. DendroCloud offers a rich set of the point cloud filtering algorithms.


A digital elevation model (DEM) is an important data layer for point cloud segmentation, 3D visualisations. Horizontal cross-sections of point cloud parallel to terrain are used for estimation of stem diameters at given heights above the ground. Upper surface of forest stands and trees is described by a digital surface model (DSM), which is used in tree height estimation procedures. High-resolution DEM and DSM can be derived from input point cloud by DendroCloud's tools. Moreover, extracted DEMs can be used in wide range of applications in hydrologic modelling, potential erosion models, terrain stability studies, soil mapping, etc.

Tree measurements

The measurements and reconstructions of trees from point clouds are significant breakthroughs in forest inventory. 3D point clouds with high resolution and accuracy capture position, shape and size of trees. Commonly used tree parameters include diameter at breast hight (DBH), girth, basal area, height, crown spread and volume. The automated procedures of DendroCloud are used to classify single trees and to develop precise 3D models of trunks. Position, diameter at breast height, stem profile and height can be estimated from point cloud for each tree on a plot.


Koreň, M. - Hunčaga, M. - Chudá, J. - Mokroš, M. - Surový, P. (2020). The Influence of Cross-Section Thickness on Diameter at Breast Height Estimation from Point Cloud. ISPRS International Journal of Geo-Information 9, No. 9, pp. 495, doi:10.3390/ijgi9090495

Hunčaga, M. - Chudá, J. - Tomaštík, J. - Slámová, M. - Koreň, M. - Chudý, F. (2020). The Comparison of Stem Curve Accuracy Determined from Point Clouds Acquired by Different Terrestrial Remote Sensing Methods. Remote Sensing 12, pp. 2739. doi:10.3390/rs12172739

Koreň, M. – Mokroš, M. – Bucha, T. (2017). Accuracy of tree diameter estimation from terrestrial laser scanning by circle-fitting methods. International Journal of Applied Earth Observation and Geoinformation, Volume 63, pp. 122–128, doi:10.1016/j.jag.2017.07.015

Čerňava, J. - Tuček, J. - Koreň, M. - Mokroš, M. (2017). Estimation of diameter at breast height from mobile laser scanning data collected under a heavy forest canopy. Journal of Forest Science 63, 433–441. doi:10.17221/28/2017-JFS

Koreň, M. - Slančík, M. - Suchomel, J. - Dubina, J. (2014). Use of terrestrial laser scanning to evaluate the spatial distribution of soil disturbance by skidding operations. iForest - Biogeosciences and Forestry, Vol. 8, pp. 861-868, doi:10.3832/ifor1165-007

Download and installation

  1. Read carefully the end user licence agreement.
  2. Download the latest version of the software.
  3. Extract all files from the archive to the output directory.
  4. Run the program DendroCloud.exe


The program is developed in C# and obfuscated by ConfuserEx, that is why some antivirus programs detect a threat. We apologize for the inconvenience.

End user licence agreement

The licence

Permission is hereby granted to any person obtaining a copy of this software and associated documentation files to use the software and documentation (the "software") free of charge.

The software is provided "as is" and the author disclaims all warranties with regard to this software including all implied warranties of merchantability and fitness. In no event shall the author be liable for any special, direct, indirect, or consequential damages or any damages whatsoever resulting from loss of use, data or profits, whether in an action of contract, negligence or other tortious action, arising out of or in connection with the use or performance of this software.

The disclaimer

  • The software is provided "as is", without warranty of any kind.
  • You use the software at your own risk.
  • The software is a work in progress and may contain some defects. We do not guarantee that the software will be error-free, the results obtained from the use of the software will be accurate and reliable.
  • We will not be liable for any direct or indirect damages resulting from the use or misuse of the software, even if the author has been advised of the possibility of such damage.

The agreement

By downloading or using the software, you agree to be bound by the terms and conditions of this end user licence agreement. If you do not agree to the terms and conditions of this end user licence agreement, you may not download or use the software.

By clicking the Download button, you agree to the terms and conditions of the end user licence agreement.
If you do not agree, you may not download or use the software.


Milan Koreň
associate professor

Martin Mokroš
close-range photogrammetry

Juraj Čerňava
mobile laser scanning

Martin Zápotocký
PhD. student
web development, visualization

Milan Hunčaga
PhD. student
point cloud processing, forestry

Technical University in Zvolen
T. G. Masaryka 24
960 53 Zvolen
Slovak Republic


Terrestrial laser scanning
Sessile oak
Silver fir
Norway spruce

Close-range photogrammetry




Forest growth model SIBYLA

3D Virtual Cave