Unlock the Future of Tree Assessment

TreeTools SilvaCloud

Transform your forest management with rapid, high‑accuracy LiDAR assessments from SilvaCloud

SilvaCloud uses advanced LiDAR analysis to deliver fast, highly accurate stand‑level forest assessments. Extract useful metrics including tree height, stocking, slope, canopy height models, digital terrain models, and more—in simple data formats that integrate seamlessly with your existing workflows. SilvaCloud provides high‑quality geospatial outputs, PDF maps, and concise data summaries ready to support effective forest operations planning and yield modeling.

Key Features

Streamlined Data Processing

SilvaCloud is easy to use and is compatible with a range of data sources. Users can leverage publically available LiDAR data from opentopography.org, or data from dedicated airborne or UAV platforms.

Actionable Data

SilvaCloud provides spatial data based stocking estimates for thinning machines and operators to use in field.

This example shows low, medium, high stocking with an estimate of the total trees per grid cell (25x25m),with an estimate of the trees to be removed to meet the thinning prescription shown in brackets.

TreeTools Tree Stocking Notation GIS Maps Thinning Maps

SilvaCloud Outputs

Digital Elevation Model (DEM)

Spatial representation of ground height in your area of interest. This is derived from the LiDAR data supplied to SilvaCloud. The DEM enables you to understand the topography (height, aspect, slope) in the area.

Canopy Height Model (CHM)

Spatial representation of tree height in your area of interest. This is derived from the LiDAR data supplied to SilvaCloud. The CHM enables you to understand variations in individual and stand level tree heights.

Tree Crowns

Spatial representation of the crown for each tree in your area of interest. The tree crown data enables individual trees to be delineated, and gaps to be detected.

Tree Locations

Spatial representation of tree locations in your area of interest. The tree location data marks the highest point within each crown and is the basis for subsequent stocking analysis.

Tree Heights

Spatial representation of individual tree heights in your area of interest. The tree height is an attribute of the tree peak shapefile and allows metrics such as mean top height to be calculated at the stand level.

Stocking (SPH)

Spatial representation of forest stocking in your area of interest. The stocking data takes the form of a 25 x 25m grid over the stand and displays the stocking as stems per ha.

Getting Started with Our Software

Step-by-Step Guide

1

Prepare LiDAR Data

Extract LiDAR data for your forest / stand and include a forest / stand perimeter to define the area of interest for analysis.

2

Submit Data for Analysis

Upload your data as a ZIP file. Leave the heavy lifting to us and we will email you when your data is ready to download.

3

Review in GIS

Load the data into your own forest information systems for analysis and mapping.

TreeTools Online LiDAR Processing Workflow

Frequently Asked Questions

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How do I download LiDAR Data from LINZ?

Follow our tutorial on how to download data from the LINZ Data Service or Open Topography to access public LiDAR datasets.

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How long will it take to get results?

Data processing can take 4-12hrs depending on the amount of data and the demand on our servers.

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How big of an area can I get analysed?

SilvaCloud will take a maximum file size of 3GB.

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Does TreeTools offer cloud synchronization?

Yes, TreeTools supports cloud synchronisation to ensure your data is accessible from anywhere.

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Can I customize SilvaCloud to fit my needs?

TreeTools offers various customisation options. Refer to our customisation guide in the tutorial section for more information.

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What should I do if I encounter a problem with SilvaCloud?

Consult our troubleshooting guide available in the Tutorial section or contact our support team for assistance.