SylvaCloud provides rapid and accurate stocking assessments at the forest level. Publicly available LiDAR data from opentopography.org, or data from dedicated airborne or UAV platforms can be used. SylvaCloud outputs include forest stocking levels, tree locations, canopy detection and canopy height models. 

SylvaCloud gives you the information to answer the following questions: 

• What is the best pre-thinning directive we can provide thinning operators?
• How can we get this information to the thinning operators to use onsite? 
• How can we reduce the costs of pre-assessment and QC operations?
• How can we evaluate thinning operations at the stand level? 

Read on to learn how you can use SylvaCloud.

This project has been developed by Interpine, with funding assistance from the Precision Silviculture Programme, A Sustainable Food and Fibre Futures (SFFF) partnership between MPI and the forest industry led by Forest Growers Research.  

What’s New

The latest software release notes and feature availability is shown below.

Version	Release Notes
Beta V2.01 (7/7/2025)	1. Add coordinates system selection option 2. Add Minimum height selection for better outputs 3. Add output option for returning all results and input data or only analysis rasters and tree detection results 4. Output RGB raster if RGB data is available
Beta V1.01 (19/02/25)	Robust interface 1. Fixed sub-folder problem 2. Email reminder for AOI files missing 3. Accept filenames with spaces
Alpha V1 (1/1/24)	Initial release for key stakeholders testing and feedback

Preparing Data for Upload

SylvaCloud requires two key inputs covering the area of interest:  

• An analysis polygon (shapefile format). 
• LiDAR data (laz format). 

Data is uploaded to TreeTools as a compressed zip file (*.zip). Note the area of interest (AOI) is typically a stand boundary.

For the purposes of this tutorial we will use the stand below, which is due a pre-thinning assessment for an upcoming silviculture operation.

Download Free LiDAR Data from Open Topography

New Zealand has a national LiDAR collection program which captures publicly available LiDAR data across much of the country. This is a good place to start if you do not have own LiDAR data. You can source this LiDAR from Open Topography.

Follow the video below to locate and download the LiDAR point cloud for the stand boundary. In this example, we discover that the area has two available public datasets.  We select the latest dataset to ensure we get the most up to date information for our AOI. While SylvaCloud onlys needs the *.laz file for analysis, you can download additional outputs, including a quick 3D visualization available within the browser to see the LiDAR coverage over the AOI.

Once ready, Open Topography will provide you with a link to the LiDAR point cloud file as a “points.laz” file.

If you choose to review the 3D visualization of the point cloud, you will be able to assess the quality of the point data and appreciate its usefulness for analysis.

Upload LiDAR Data for Processing

Ensure that both your shapefile and .laz file are in the compressed zip file. Enter you email address and select the compressed zip file to upload to LiDAR Online for processing. Once the file has been uploaded you will receive an email confirmation the data has been received and analysis has begun.

Results and Outputs

Once data is processed you will get an email with a download link to access the analysis results. These will be available for a period of 7 days before they are deleted from the server. Below is a list and description of outputs you will receive from SylvaCloud.

Output / Folders	Description
00_IncomingData	This is your data you uploaded for analysis. You will find your LAZ data and related area of interest shape file. This is an optional output if you select to receive all data back from the server.
01_ClassifiedPoint	Output LAZ file classified into classification point classes. This is an optional output.
02_NormaliseHeight	Output LAZ file normalized by class 2 ground points. This is an optional output.
03_Digital_Elevation_Model	Digital terrain model, provided in several formats including a hillshade.
04_Canopy_Height_Model	Canopy height model at 0.3m resolution. This is created using Pitfree
05_TreeTops_Crowns	Crowns Tree Tops SPH and Height Summary
06_AerialImagery	This provides an aerial image generated from colorized LiDAR point clouds. If a colourised point cloud is not detected an output image will not be created.
08_FileLists	This provides a text file containing the list of tiles for normalization
09_QualityControl	An overview shapefile for the classified dataset Reports the contents of the header and a short summary of the points Scan angle rank text file Information about the flight overlap; flight coverage

Further Support

For support use our contact form to reach out.  Thanks for using TreeTools.