DF Scanner
Desktop application for forest information analysis
DF Scanner
Desktop application for forest information analysis
DF Scanner is software designed to analyze forest information, including tree species, size, and timber volume, from data acquired by drones in the forest.
It is primarily designed for tree species identification using deep learning from images of tree canopies captured by drones. It also includes various analyses at the individual tree level, such as CHM (Canopy Height Model) calculation, tree crown detection, crown separation, and estimation of DBH (Diameter at Breast Height), timber volume, and carbon storage.
Treetop Detection / Tree Crown Segmentation
It is possible to detect the tree canopy tops and separate tree crowns.
The algorithm for coniferous tree crown separation is based on the use of a Local Maximum Filter and Watershed Segmentation. By adjusting multiple parameters, such as filter size, it is possible to achieve a detection accuracy of over 90% in coniferous forests.
The AI crown separation function can be used to separate the crowns of broadleaf forests. The software incorporates AI that has learned from a variety of training data, making it possible to automatically separate the crowns of even broadleaf trees with complex shapes.
Treetop Detection
Coniferous Tree Crown Segmentation
AI Crown Segmentation
Tree Species Identification
AI-based tree species identification is possible using drone image data, leveraging deep learning. It is not limited to the automatic identification of certain coniferous and broadleaf tree species found in Japan but also supports user-driven training and identification with custom classes. For user-driven training and identification, the software offers features that are low-load and can be run on a CPU, such as site tuning classification, one-time deep learning for single-session training and identification, and my deep learning, which allows you to create original models from multiple data sources. Users can also configure hyperparameters like batch size and epochs to fine-tune the process.
Sugi Hinoki Identification
Japanese Species Identification
Dead Tree Detection
Size Estimation / Environmental Value Assessment
The software allows for the estimation of tree height, diameter at breast height (DBH), stem volume, CO2 stock, and the assessment of diversity.
The estimation of DBH is calculated based on tree species, tree crown (polygon) size, and tree height information. Stem volume estimation takes into account tree species, tree height, DBH, and regional factors. Additionally, it is possible to customize size estimations based on locally measured data using proprietary formulas.
In Diversity Assessment, α-diversity can be calculated based on tree species information derived from crown polygons, reflecting both the species compositional richness and distributional variation of a stand.
* Only data from within Japan can be used to estimate stem volume and CO2 stock.
DBH Estimation
Stem Volume Estimation
CO2 Stock Estimation
Diversity Assessment
Understanding the Forest Condition
You can view information such as the selected area’s tree species, count, average size, total timber volume, and more. The software also supports the loading of shapefiles for the selected area, making it easy to assess forest information for specific regions.
Additionally, by using other analysis tools, it is possible to generate a Vegetation Map and perform Hazard Tree Detection (identifying locations at risk when trees fall, based on the distance from target objects such as roads).
Checking Statistics
Excel output
Vegetation Map
Hazard Tree Detection
Product Price
Domestic Price (Japan), including tax
General Users
Corporations and individuals other than forestry businesses and educational/research institutions
Pro
AnnualJPY 1,000,000
Incl. tax JPY 1,100,000
MonthlyJPY 200,000
Incl. tax JPY 220,000
Lite
AnnualJPY 600,000
Incl. tax JPY 660,000
MonthlyJPY 120,000
Incl. tax JPY 132,000
Forestry Businesses
Private businesses, forest cooperatives, and the Forestry Agency engaged in forestry such as afforestation and logging
Pro
AnnualJPY 450,000
Incl. tax JPY 495,000
MonthlyJPY 100,000
Incl. tax JPY 110,000
Lite
AnnualJPY 300,000
Incl. tax JPY 330,000
MonthlyJPY 60,000
Incl. tax JPY 66,000
Educational/Research Institutions
Academic research institutions such as universities, colleges of technology, and the National University Finance and Management Center
Pro
AnnualJPY 200,000
Incl. tax JPY 220,000
MonthlyJPY 50,000
Incl. tax JPY 55,000
Lite
AnnualJPY 200,000
Incl. tax JPY 220,000
MonthlyJPY 50,000
Incl. tax JPY 55,000
Domestic Price (Japan), including tax
All Users (flat rate)
Lite — Perpetual License
Purchase priceJPY 1,000,000
Incl. tax JPY 1,100,000
Maintenance fee (from year 2)JPY 100,000 / year
Incl. tax JPY 110,000 / year
About the Support Period
Includes a 1-year support period after purchase
Free updates to the latest version during the period
The software remains usable even after the period ends
Support can be extended by 1 year with the maintenance fee
* The Perpetual License is available for the Lite version only.
For Overseas Pricing
Please contact us.
Pro vs Lite Feature Comparison Table
| Feature | DF Scanner Pro | DF Scanner Lite |
|---|---|---|
| Basic Operations | ||
| Data Display & Layer Management | ||
| Area / Distance Measurement | ||
| Statistics Viewer (Area Selection) | ||
| Basemap Display | ||
| Data Preparation | ||
| CHM Calculation | ||
| CHM Adjustment | ||
| Generate Vegetation Mask | ||
| Area Clipping | ||
| Crown Segmentation | ||
| Conifer Tree Segmentation | ||
| AI Crown Segmentation | ||
| Multilayer Segmentation | ||
| Tree Species Identification | ||
| Sugi / Hinoki Identification *2 | ||
| Hokkaido Species Identification *2 | ||
| Japanese Species Identification *2 | ||
| Dead Tree Detection | ||
| Unsupervised Classification | ||
| Quick Analysis | ||
| Sugi / Hinoki Analysis *2 | ||
| Dead Tree Detection | ||
| Size Estimation | ||
| Height / DBH Estimation | ||
| Stem Volume Estimation *2 | ||
| Environmental Value Assessment | ||
| CO₂ Stock Estimation *2 | ||
| Diversity Assessment (α-diversity) | ||
| Advanced Analysis | ||
| Site Tuning Classification | ||
| Onetime Deep Learning | ||
| My Species Identification AI | ||
| Area Statistics Calculation | ||
| Generate Vegetation Map | ||
| Hazard Tree Detection | ||
| Tools | ||
| CRS Conversion | ||
| Tree Crown → Treetop Conversion | ||
| Band Merge | ||
| Vector Merge | ||
| Table Calculation | ||
| Download DEM for Flight *2 | ||
| Project Management | ||
| Save Project *1 | ||
| Online Backup *1 | ||
Supported
Not supported
*1 Save Project and Online Backup are not available in the free trial version.
*2 Available for data within Japan only.
DF Scanner System Requirements
| Minimum | Recommended | |
|---|---|---|
| OS | Windows 10 | Windows 11 |
| RAM | 4GB | 16GB or more |
| Free Disk Space | 7GB | 10GB or more |
| GPU | － | NVIDIA GeForce RTX series *1 |
*1 GPU compatible with CUDA 12.8 (e.g. RTX 3050–3090, RTX 4050–4090)
*1 For tree species identification with DF Scanner, using a graphics board equipped with an NVIDIA GPU that supports CUDA 12.8 enables high-speed processing. For a list of compatible GPUs, please click here.
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