Sensors, measurement equipment

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English
Innovation
Yes
Owner or author e-mail
Voting
0%
Short description
<table border="0" cellpadding="0" cellspacing="0" style="width:527px;" width="527"> <tbody> <tr height="18"> <td height="18" style="height:19px;width:527px;">Single tree detection software uses drone data as the basis for estimating important tree parameters (tree position, height and diameter). Drones offer very precise terrain and inventory data and are very cost-effective.</td> </tr> </tbody> </table>
Digital solution
Yes
Abstract
Drone images are commonly used today as optical support in the forestry sector. The Potential of drone data and parameters that can be generated from single tree detection software is far from exhausted. The innovative and creative aspect of the project is to crate a digital twin of the forest. This twin provides all important tree parameters for the researchers to model the forest, make estimations of interventions, plan and make predictions.
Owner or author organization
BFH Berne University of Applied Sciences
Owner or Author name
Mark Günter
Reporter organisation
BFH Bern University of Applied Sciences
Reporter name
Moritz Dreher
Main picture
BP - Rosewood - V1
NO
Country of origin
Switzerland
Title (national name)
Drohnen im Dienste der Forstwirtschaft
Scale of application
Project under which this factsheet has been created
Has video
no
English
Innovation
Yes
Owner or author e-mail
Voting
0%
Title (abbreviation)
MOTI
Short description
<table border="0" cellpadding="0" cellspacing="0" style="width:568px;" width="568"> <tbody> <tr height="60"> <td height="60" style="height:60px;width:568px;">Forest stand inventory with the aid of the Smartphones capabilities (App). Easy, cheap and reliable tool for determining the most important dendrometer indicators (key figures of tree stands). Suitable for single tree measurement or stand inventories.</td> </tr> </tbody> </table>
Digital solution
Yes
Abstract
Forest stand inventory with the aid of the Smartphones capabilities (App). Easy, cheap and reliable tool for determining the most important dendrometer indicators (key figures of tree stands). Suitable for single tree measurement or stand inventories. Easy and fast implementation of forest inventories and single tree measurement.
Possible determination of the base area (m2/ha) with or without the distinction of different tree species. Trunk rate (#/ha), stand height (m/ha), reserve of rough wood (m3/ha). Smartphones can be used as a good referencing tool for forest inventories and forest operation planning. Many further application developments and integrations thinkable.
Owner or author organization
BFH Berne University of Applied Sciences
Owner or Author name
Christian Rosset
Reporter organisation
BFH Bern University of Applied Sciences
Reporter name
Moritz Dreher
Main picture
BP - Rosewood - V1
NO
Country of origin
Switzerland
Title (national name)
MOTI
Scale of application
Project under which this factsheet has been created
Has video
no
English
Innovation
Yes
Owner or author e-mail
Voting
0%
Title (abbreviation)
FINT-CH
Short description
<table border="0" cellpadding="0" cellspacing="0" style="width:600px;" width="600"> <tbody> <tr height="60"> <td height="60" style="height:60px;width:600px;">In the project FINT-CH a methodology for the large-scale characterization of forest structures, thereon a better detection of single trees on the basis of remote sensing data, is under development. Top height, cover and mixture ratio get determined.&nbsp;</td> </tr> </tbody> </table>
Digital solution
Yes
Abstract
In the project FINT-CH a methodology for the large-scale characterization of forest structures, thereon a better detection of single trees on the basis of remote sensing data, is under development. By using segmentation, stand boundaries and the corresponding top height, cover and mixture ratio get determined. This forms the basis for the specific single tree detection using forest structures. Large-scale geodata with valuable forest information can be generated. Their usage in practice are demonstrated on the basis of four examples.Vector-geodata (type polygon) with stand boundaries and the following attributes:
- Basic shape (uniform, unequally)
- Top height (hdom)
- Cover ratio
- Mixture ratio
- Stem number of upper-class trees
- Basal area of upper-class trees                   Vector-geodata (type points) with detected single trees and the following attributes:
- Top height
- BHD
- Social status in the upper-class
-Z-trees

Vector-geodata (type polygon) with forest gaps, boundaries and aisle                                                  The methodology should be able to get a simple and large-scale investigation every 5 to 10 years regarding the mentioned data attributes mentioned beforehand. With these attributes conclusions are possible regarding stem numbers of different classes, protective forest investigations, mapping of forest gaps, boundaries and aisle as well as on stock estimations and finally operational planning (allowable cut, activity planning… )

Owner or author organization
BFH Bern University of Applied Sciences
Owner or Author name
Luuk Dorren
Reporter organisation
BFH Berne University of Applied Sciences
Reporter name
Moritz Dreher
Main picture
BP - Rosewood - V1
NO
Country of origin
Switzerland
Title (national name)
Einzelbaumerkennung
Scale of application
Project under which this factsheet has been created
Has video
no
English
Owner or author e-mail
Voting
0%
Short description
<table border="0" cellpadding="0" cellspacing="0" style="width:516px;" width="516"> <tbody> <tr height="60"> <td height="60" style="height:60px;width:516px;">FESTMETER Wöls Ltd. offers vitality analyses with a focus on bark beetle detection in coniferous forests.</td> </tr> </tbody> </table>
Digital solution
Yes
Abstract

Festmeter Wöls Ltd. offers vitality analyses with regard to bark beetle detection in coniferous forests. Using the carrier systems multicopter or light aircraft, forest plots are flown over in a grid system and aerial photographs are taken with a special camera, which are later analysed and evaluated on the computer. The technology used makes vitality restrictions visible, changes in the water content of the needles can be seen, but not the exact cause, such as the bark beetle itself. However, since image series from at least two flights at different times are compared, many other causes such as drought stress can be excluded and the bark beetle can be traced very closely.  Initial trees are identified in the analysis, while the decision on necessary measures remains with the qualified on-site staff. A 100% hit rate is impossible. The aim should be to be able to act faster and more purposefully in the field. Long-standing customers report positive hit rates of over 80%. 

Owner or author organization
Festmeter Wöls GmbH
Owner or Author name
Dr. Kurt Wöls
Reporter organisation
Holzcluster Steiermark GmbH
Reporter name
DI Masa Jasarevic
Main picture
Logo of Main Organization
Additional visual 1
BP - Rosewood - V1
NO
Country of origin
Austria
Title (national name)
Borkenkäfer-Erkennung
Scale of application
Project under which this factsheet has been created
Has video
no
English
Innovation
Yes
Owner or author e-mail
Voting
0%
Start Year
2018
End Year
2021
Short description
Innovative R&amp;D project developing odor-based system (electronic nose) based on sensors with high sensitivity and AI to monitor selected, particularly dangerous forest pests.
Digital solution
Yes
Origin of wood
Abstract

The threat of forests by various harmful microorganisms is growing due to changing climate conditions and spreading of non-native pathogens and pests.. Simultaneously the relevance of biological methods of monitoring and preventing forest degradation is increasing in the face of the chemical’s use restrictions. The main aim of the project is the development of an innovative device (electronic nose/ e-NOS), based on a matrix of broad-band electrochemical sensors and neural networks that would detect and analyse the odor-based signals e.g. pheromones of certain insect species. The examples of pathogens and pests addressed in the project include Dendrolimus Pini (L.) and Phytophthora oomycetes.
The developed system delivers comprehensive and complex information which allows to create a neural classifier (using artificial intelligence). The dedicated software was developed to perform the analysis of the data and create a database – library of signals, which will allow to detect the analytes sought in the field. For each application foreseen in the project (analysis of specific smells), dedicated sensory matrices were prepared.   

Owner or author organization
Warsaw University of Technology, Faculty of Physics
Owner or Author name
Warsaw University of Technology, Faculty of Physics
Reporter organisation
Łukasiewicz Research Network - Wood Technology Institute (ITD)
Reporter name
Dobrochna Augustyniak-Wysocka
Project reference
Forecasting threats to forest ecosystems through the implementation of an innovative electronic system for the recognition of odors, co-financed by National Center for Research and Development (BIOSTRATEG III programme), 2018-2021, grant no. BIOSTRATEG3/347105/9/NCBR/2017
Main picture
Logo of Best Practice
Hub
Central-East Hub
BP - Rosewood - V1
NO
Country of origin
Poland
Title (national name)
Innowacyjny elektroniczny system rozpoznawania zapachów do prognozowania zagrożeń leśnych
Scale of application
Project under which this factsheet has been created
Has video
no
English
Innovation
Yes
Source of wood

Stemwood

Owner or author e-mail
Code
IN_FI_04
Time scale
Running, maps to be supplemented
Mobilization Potential
Not possible to assess
Kind of wood concerned
Stemwood
Sustainability Potential
Very Positive
Impact on environment & biodiversity

Very positive/protects terrain

Ease of implementation
Medium
Economic impact
Medium
Job effect
Positive
Income effect
Positive
Specific knowledge needed
IT-tool and silvicultural knowledge needed
Costs of implementation

Free to use/Internet

Technical readiness level
Immediately applicable
Key prerequisites

Involving relevant stakeholders

Location
Finland
Implementers
Forestry companies, wood buyers, harvesting drivers
Actual status
Running
Attachments
Country Region City
Finland
Scope
National
Voting
0%
Digital solution
Yes
Origin of wood
Type of wood
Abstract

The Best Practice is addressing the challenge of soft terrains in harvesting.

It eases planning of harvesting locations and anticipating of harvesting of different forested areas. It considers only the static features of forest, not daily weather for example. However, bearing capacity in three different summer moisture condition classes is considered in the maps.

The material of the mainland Finland harvesting maps contains rasterized harvesting maps describing the terrain's bearing capacity. The capacity is classified in six categories. The maps tell when it is possible to go into the forest with the harvester. The material is free to use.

Owner or author organization
Finnish Forest Centre
Owner or Author name
Seppo Kilpiäinen
Main picture
Logo of Project
Additional visual 1
Hub
Northern Hub
BP - Rosewood - V1
YES
Sustainability Potential - Value
Positive
Country of origin
Finland
Scale of application
Project under which this factsheet has been created
Has video
no
English
Innovation
No
Source of wood

Stemwood

Owner or author e-mail
Code
BP_CH_04
Time scale
2013 -
Mobilization Potential
0.1 - 0.2 m³/ha throughout the forested area of Switzerland (1.26 mio. ha)
Kind of wood concerned
Stemwood
Sustainability Potential
Very positive
Impact on environment & biodiversity

Positive. Deeper knowledge about forest stands lead to more adapted silvicultural interventions enhancing sustainability

Ease of implementation
Very easy
Economic impact
- 10 m³/ha
Job effect
Positive thru better competitiveness
Income effect
Positive (less field work needed)
Specific knowledge needed
Low, App usage
Costs of implementation

Very low (only a Smartphone is needed)

Technical readiness level
Immediately applicable
Key prerequisites

Download from App-store (free of charge) available in different languages / app is adapted for forests with a lot of wood standing (big living stock)

Location
Zollikofen
Implementers
Bern University of Applied Sciences (School of Agricultural, Forests and Food Sciences (HAFL))
Actual status
Running
Attachments
Country Region City
Switzerland
Scope
National
Voting
0%
Start Year
2013
Digital solution
Yes
Origin of wood
Type of wood
Abstract

Forest stand inventory with the aid of the Smartphones capabilities (App). Easy, cheap and reliable tool for determining the most important dendrometer indicators (key figures of tree stands). Suitable for single tree measurement or stand inventories

Smartphones can be used as a good referencing tool for forest inventories and forest operation planning. Many further application developments and integrations thinkable

Easy and fast implementation of forest inventories and single tree measurement.
Possible determination of the base area (m2/ha) with or without the distinction of different tree species. Trunk rate (#/ha), stand height (m/ha), reserve of rough wood (m3/ha)

Main picture
Logo of Project
BP - Rosewood - V1
YES
Country of origin
Switzerland
Scale of application
Project under which this factsheet has been created
Has video
no