Sensores, equipos de medición

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Inglés
Innovación
Yes
Correo electrónico del autor o propietario
Voting
0%
Descripción breve
<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>
Solución digital
Yes
Resumen
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.
Organización autora o propietaria de la buena práctica
BFH Berne University of Applied Sciences
Nombre del autor o propietario
Mark Günter
Organización intermediaria de contacto
BFH Bern University of Applied Sciences
Persona de contacto del intermediario
Moritz Dreher
Correo electrónico del intermediario
Imagen principal
BP - Rosewood - V1
NO
País de origen
Suiza
Título (idioma nacional)
Drohnen im Dienste der Forstwirtschaft
Escala de aplicación
Proyecto bajo el que se ha creado esta ficha
Tiene vídeo
no
Inglés
Innovación
Yes
Correo electrónico del autor o propietario
Voting
0%
Palabras clave
Título (abreviación)
MOTI
Descripción breve
<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>
Solución digital
Yes
Resumen
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.
Organización autora o propietaria de la buena práctica
BFH Berne University of Applied Sciences
Nombre del autor o propietario
Christian Rosset
Organización intermediaria de contacto
BFH Bern University of Applied Sciences
Persona de contacto del intermediario
Moritz Dreher
Correo electrónico del intermediario
Imagen principal
BP - Rosewood - V1
NO
País de origen
Suiza
Título (idioma nacional)
MOTI
Escala de aplicación
Proyecto bajo el que se ha creado esta ficha
Tiene vídeo
no
Inglés
Innovación
Yes
Correo electrónico del autor o propietario
Voting
0%
Título (abreviación)
FINT-CH
Descripción breve
<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>
Solución digital
Yes
Resumen
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… )

Organización autora o propietaria de la buena práctica
BFH Bern University of Applied Sciences
Nombre del autor o propietario
Luuk Dorren
Organización intermediaria de contacto
BFH Berne University of Applied Sciences
Persona de contacto del intermediario
Moritz Dreher
Correo electrónico del intermediario
Imagen principal
BP - Rosewood - V1
NO
País de origen
Suiza
Título (idioma nacional)
Einzelbaumerkennung
Escala de aplicación
Proyecto bajo el que se ha creado esta ficha
Tiene vídeo
no
Inglés
Correo electrónico del autor o propietario
Voting
0%
Descripción breve
<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>
Solución digital
Yes
Resumen

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%. 

Organización autora o propietaria de la buena práctica
Festmeter Wöls GmbH
Nombre del autor o propietario
Dr. Kurt Wöls
Organización intermediaria de contacto
Holzcluster Steiermark GmbH
Persona de contacto del intermediario
DI Masa Jasarevic
Correo electrónico del intermediario
Imagen principal
Logotipo de la organización principal
Visual adicional 1
BP - Rosewood - V1
NO
País de origen
Austria
Título (idioma nacional)
Borkenkäfer-Erkennung
Escala de aplicación
Proyecto bajo el que se ha creado esta ficha
Tiene vídeo
no
Inglés
Innovación
Yes
Correo electrónico del autor o propietario
Voting
0%
Año de comienzo
2018
Año de finalización
2021
Descripción breve
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.
Solución digital
Yes
Origen de la madera
Resumen

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.   

Organización autora o propietaria de la buena práctica
Warsaw University of Technology, Faculty of Physics
Nombre del autor o propietario
Warsaw University of Technology, Faculty of Physics
Organización intermediaria de contacto
Łukasiewicz Research Network - Wood Technology Institute (ITD)
Persona de contacto del intermediario
Dobrochna Augustyniak-Wysocka
Correo electrónico del intermediario
Referencia del proyecto
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
Imagen principal
Logo de la Buena Práctica
Hub
Central-East Hub
BP - Rosewood - V1
NO
País de origen
Polonia
Título (idioma nacional)
Innowacyjny elektroniczny system rozpoznawania zapachów do prognozowania zagrożeń leśnych
Escala de aplicación
Proyecto bajo el que se ha creado esta ficha
Tiene vídeo
no
Inglés
Innovación
Yes
Source of wood

Stemwood

Correo electrónico del autor o propietario
Código
IN_FI_04
Time scale
Running, maps to be supplemented
Potencial de movilización
Not possible to assess
Tipo de madera afectada
Stemwood
Potencial de sostenibilidad
Very Positive
Impacto en el medio ambiente y la biodiversidad

Very positive/protects terrain

Facilidad de aplicación
Medium
Impacto económico
Medium
Efecto sobre el empleo
Positive
Efecto sobre los ingresos
Positive
Conocimientos específicos necesarios
IT-tool and silvicultural knowledge needed
Costes de aplicación

Free to use/Internet

Nivel de preparación técnica
Immediately applicable
Prerequisitos clave

Involving relevant stakeholders

Localidad
Finland
Implementers
Forestry companies, wood buyers, harvesting drivers
Actual status
Running
Adjuntos
País Región Población
Finland
Ámbito
National
Voting
0%
Solución digital
Yes
Origen de la madera
Tipo de madera
Resumen

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.

Organización autora o propietaria de la buena práctica
Finnish Forest Centre
Nombre del autor o propietario
Seppo Kilpiäinen
Imagen principal
Logotipo del proyecto
Visual adicional 1
Hub
Northern Hub
BP - Rosewood - V1
YES
Potencial de Sostenibilidad - Valor
Positive
País de origen
Finlandia
Escala de aplicación
Proyecto bajo el que se ha creado esta ficha
Tiene vídeo
no
Inglés
Innovación
No
Source of wood

Stemwood

Correo electrónico del autor o propietario
Código
BP_CH_04
Time scale
2013 -
Potencial de movilización
0.1 - 0.2 m³/ha throughout the forested area of Switzerland (1.26 mio. ha)
Tipo de madera afectada
Stemwood
Potencial de sostenibilidad
Very positive
Impacto en el medio ambiente y la biodiversidad

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

Facilidad de aplicación
Very easy
Impacto económico
- 10 m³/ha
Efecto sobre el empleo
Positive thru better competitiveness
Efecto sobre los ingresos
Positive (less field work needed)
Conocimientos específicos necesarios
Low, App usage
Costes de aplicación

Very low (only a Smartphone is needed)

Nivel de preparación técnica
Immediately applicable
Prerequisitos clave

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)

Localidad
Zollikofen
Implementers
Bern University of Applied Sciences (School of Agricultural, Forests and Food Sciences (HAFL))
Actual status
Running
Adjuntos
País Región Población
Switzerland
Ámbito
National
Voting
0%
Año de comienzo
2013
Solución digital
Yes
Origen de la madera
Tipo de madera
Resumen

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)

Imagen principal
Logotipo del proyecto
BP - Rosewood - V1
YES
País de origen
Suiza
Escala de aplicación
Proyecto bajo el que se ha creado esta ficha
Tiene vídeo
no