This document summarizes a kick-off meeting for Project SLOPE. The project involves developing methods for remote sensing-based forest inventory and 3D modeling to evaluate harvesting technologies in mountain forests. Task 2.1 will design an automatic method for satellite-based forest inventory. Task 2.4 will generate a detailed 3D model of the forest to simulate harvesting plans and evaluate equipment. The model will integrate remote sensing, field measurements, and a web-based planning system to optimize harvesting in mountain areas.
The document provides an overview of activities for piloting the SLOPE demonstrator. It summarizes preparations for demonstrators in Sover, Italy in spring 2016 and Annaberg, Austria in autumn 2016. It describes the survey site in Annaberg including the characteristics of the forest stand and outlines activities already performed at the site. It then presents prospective plans for the harvesting demo in Annaberg, including marking trees with RFIDs, felling, extracting and processing trees. An agreement with Austrian Federal Forests to support the demo is also summarized.
This document summarizes work from Project SLOPE on collecting and analyzing forest information using remote sensing techniques. It describes using a UAV to acquire RGB and multispectral imagery of a test site in Annaberg, Austria. Terrestrial laser scanning was also used to generate digital terrain models, detect individual trees, and analyze tree characteristics like volume estimations. Field measurements were taken and compared to remote sensing data. The integration of remote sensing with field data helped improve forest inventory and management techniques.
This document discusses progress on Task 2.1 of Project SLOPE. It outlines the participants in the task and their roles in collecting and analyzing forest information using remote sensing. Work completed so far includes acquiring satellite imagery of test sites, conducting trials combining aerial imagery and laser scanning in Ireland, and identifying additional test sites in Trento and Austria. The next steps are to get permission to fly in Italy, test equipment at new sites, finalize the methodology, and disseminate results.
This work package involves developing methods for quality control of mountain forest products using multi-sensor models. It has six subtasks: 1) using 3D modeling and sensors to develop a quality index for standing and felled trees, 2) evaluating near infrared spectroscopy to determine quality indexes, 3) using hyperspectral imaging to evaluate quality, 4) analyzing stress wave propagation to determine quality thresholds, 5) measuring cutting power to develop quality models, and 6) implementing the quality control system and algorithms.
This document summarizes the final meeting of the WP2 Slope Project in Brussels on February 1, 2017. It discusses the completion of deliverables, data collection from various partners, tree classification and detection methods, estimation of environmental parameters, combining data sets from different sources, logistics modeling, and analytics. The meeting highlights that the project has proven the concept of combining data from remote sensing, UAVs, and TLS to map up to 1,000 hectares in a single flight and provide useful data for both harvesting and long-term forest management - providing a solution beyond the state of the art.
The document describes work done in Task 4.4 to optimize acoustic measurement protocols and develop prediction models for characterizing wood quality using stress wave tests, with the goals of determining two quality indices: an index (SW#1) relating stress wave velocity to overall log quality, and an index (SW#2) relating free vibration frequency to external log quality. Sensors were integrated with a forest harvester to measure stress waves and vibrations, and algorithms were developed to compute the quality indices from the acoustic data.
The document discusses progress on Work Package 7 of the Project SLOPE, which involves piloting the SLOPE timber harvesting demonstrator. Key points discussed include:
- Potential harvesting sites have been identified in Austria and Italy for demonstrating the SLOPE system.
- Tasks include developing process flow charts, identifying bottlenecks, selecting evaluation methods, and planning demonstration activities from 2015-2018.
- Process/data flow charts will be created to visualize and compare the conventional and SLOPE timber supply chains. This will help identify strengths and risks of the new system.
Project SLOPE is developing a forest information system to optimize timber harvesting and supply chain operations. The system will integrate real-time data on tree sizes, product distributions, and harvesting machine positions. It aims to develop modules for inventory data, real-time supply chain control, online purchasing and invoicing, and short and long-term optimization. Partners will utilize existing solutions like MHG Biomass Manager and develop new applications to track harvesting data, manage transportation logistics, and facilitate online commerce between producers and buyers. The system seeks to strengthen industry linkages and competitiveness through information sharing.
The document provides an overview of activities for piloting the SLOPE demonstrator. It summarizes preparations for demonstrators in Sover, Italy in spring 2016 and Annaberg, Austria in autumn 2016. It describes the survey site in Annaberg including the characteristics of the forest stand and outlines activities already performed at the site. It then presents prospective plans for the harvesting demo in Annaberg, including marking trees with RFIDs, felling, extracting and processing trees. An agreement with Austrian Federal Forests to support the demo is also summarized.
This document summarizes work from Project SLOPE on collecting and analyzing forest information using remote sensing techniques. It describes using a UAV to acquire RGB and multispectral imagery of a test site in Annaberg, Austria. Terrestrial laser scanning was also used to generate digital terrain models, detect individual trees, and analyze tree characteristics like volume estimations. Field measurements were taken and compared to remote sensing data. The integration of remote sensing with field data helped improve forest inventory and management techniques.
This document discusses progress on Task 2.1 of Project SLOPE. It outlines the participants in the task and their roles in collecting and analyzing forest information using remote sensing. Work completed so far includes acquiring satellite imagery of test sites, conducting trials combining aerial imagery and laser scanning in Ireland, and identifying additional test sites in Trento and Austria. The next steps are to get permission to fly in Italy, test equipment at new sites, finalize the methodology, and disseminate results.
This work package involves developing methods for quality control of mountain forest products using multi-sensor models. It has six subtasks: 1) using 3D modeling and sensors to develop a quality index for standing and felled trees, 2) evaluating near infrared spectroscopy to determine quality indexes, 3) using hyperspectral imaging to evaluate quality, 4) analyzing stress wave propagation to determine quality thresholds, 5) measuring cutting power to develop quality models, and 6) implementing the quality control system and algorithms.
This document summarizes the final meeting of the WP2 Slope Project in Brussels on February 1, 2017. It discusses the completion of deliverables, data collection from various partners, tree classification and detection methods, estimation of environmental parameters, combining data sets from different sources, logistics modeling, and analytics. The meeting highlights that the project has proven the concept of combining data from remote sensing, UAVs, and TLS to map up to 1,000 hectares in a single flight and provide useful data for both harvesting and long-term forest management - providing a solution beyond the state of the art.
The document describes work done in Task 4.4 to optimize acoustic measurement protocols and develop prediction models for characterizing wood quality using stress wave tests, with the goals of determining two quality indices: an index (SW#1) relating stress wave velocity to overall log quality, and an index (SW#2) relating free vibration frequency to external log quality. Sensors were integrated with a forest harvester to measure stress waves and vibrations, and algorithms were developed to compute the quality indices from the acoustic data.
The document discusses progress on Work Package 7 of the Project SLOPE, which involves piloting the SLOPE timber harvesting demonstrator. Key points discussed include:
- Potential harvesting sites have been identified in Austria and Italy for demonstrating the SLOPE system.
- Tasks include developing process flow charts, identifying bottlenecks, selecting evaluation methods, and planning demonstration activities from 2015-2018.
- Process/data flow charts will be created to visualize and compare the conventional and SLOPE timber supply chains. This will help identify strengths and risks of the new system.
Project SLOPE is developing a forest information system to optimize timber harvesting and supply chain operations. The system will integrate real-time data on tree sizes, product distributions, and harvesting machine positions. It aims to develop modules for inventory data, real-time supply chain control, online purchasing and invoicing, and short and long-term optimization. Partners will utilize existing solutions like MHG Biomass Manager and develop new applications to track harvesting data, manage transportation logistics, and facilitate online commerce between producers and buyers. The system seeks to strengthen industry linkages and competitiveness through information sharing.
The document outlines tasks related to defining requirements for Project SLOPE. Task 1.1 involves identifying user requirements through questionnaires. Task 1.2 defines hardware and equipment needs based on user requirements. Task 1.3 focuses on defining human-machine interfaces for different scenarios like planning, harvesting, and resource management. The tasks involve various partners contributing expertise in areas like 3D modeling, inventory, harvesting, and enterprise resource planning.
This document discusses Project SLOPE's Work Package 7, which focuses on piloting the SLOPE demonstrator. Task 7.1 involves defining an evaluation methodology for testing two forest supply chains. Task 7.2 prepares demonstrators by developing experimental designs and guidelines. Task 7.3 conducts trials and validation, evaluating data collection methods, processes, and the overall performance of the supply chains. Task 7.4 provides training to operators. The goals are to demonstrate models, systems, stakeholder involvement and on-the-job training. Partners will trial and validate the framework in Austria, Italy and Norway between 2014-2016.
This work package aims to develop an automated grading system using multi-sensor data to improve log segregation and supply chain efficiency in mountain forests, including using near infrared spectroscopy, hyperspectral imaging, acoustic measurements, and cutting power analysis to estimate log quality and classify logs into quality classes.
The document summarizes work from Project SLOPE Task 2.1 on remote sensing and multispectral analysis of forest sites in Ireland and Italy. Key points include:
- Participants in Task 2.1 defined approaches to monitor tree growth and health using different vegetation indexes derived from satellite, UAV, and ground instrumentation data.
- Analysis of vegetation indexes at different scales (satellite, UAV, laser scanner) allowed estimation of biological parameters and increasingly detailed information.
- A case study in Ireland using RapidEye satellite imagery to calculate NDVI, NDRE, and CCCI showed relationships between the indices and chlorophyll levels over time.
- UAV and terrestrial laser scanner data provided more
The document provides a mid-term review of work being done on Project SLOPE. It summarizes the status of tasks relating to developing an intelligent cable crane system. The TECNO self-propelled carriage has been completed mechanically and is stored, with only the electric box and wiring remaining. Work is ongoing to integrate sensors into the software over the next few months to develop deliverables due. Chokers and a synthetic rope launcher are also being developed as part of creating an intelligent cable harvesting system for steep terrain forest operations.
- Weather
- Production Targets
- Contingency Plans
Harvesting Head
Control Interface
Production
Statistics
Machine
Parameters
Tree Detection
& Recognition
SLOPE
In-Vehicle
Interface
Machine
Monitoring
Route
Planning
Cable Crane
Control
Risks and Mitigation Actions
Technical Meeting
2-4/Jul/2014
Risks:
- Integration with existing systems (MHG, TREE) not seamless
- Mobile/In-Vehicle interfaces not robust enough for field conditions
- User acceptance of new interfaces
Mitigation Actions:
- Early prototyping and testing with end users
- Modular design allowing independent development
WP7 tested the SLOPE harvesting system across two pilot sites in Italy and Austria. At the Italian site in Sover, RFID-tagged trees were felled and extracted using cable yarding. Some technical issues were encountered but valuable lessons were learned. The system was improved and demonstrated again at the Austrian site in Annaberg, where the whole supply chain was tested and productivity was higher. Comprehensive data was collected across operations and sites to validate system performance and identify areas for further improvement.
The document discusses the development of a forest information system called Project SLOPE. It involves 5 work packages, including the development of a database to support novel inventory data (WP5.1), a platform for near real-time control of forest operations (WP5.2), and an online purchasing/invoicing system for industrial timber and biomass (WP5.3). It will also include the development of modules for short-term optimization (WP5.4) and mid-long term optimization/strategic planning (WP5.5). The system will integrate data on timber quality, quantities, and origin to optimize procedures and avoid delays. It will also facilitate long-term forest planning, simulations, optimization, and
The document describes Project SLOPE which aims to develop intelligent systems for tree marking, felling, hauling, and processing in mountain forests. It outlines the tasks, participants, goals, challenges, and timeline for Task 3.1 which focuses on developing an intelligent system for tree marking using RFID tags, GPS, and a rugged tablet computer to store and access forest inventory data and mark trees efficiently in mountainous terrain. The key challenges are ensuring the systems are ergonomic for mountain forest conditions and have high tag survival and reading rates to enable full traceability.
This document summarizes a review meeting for Project SLOPE Work Package 2 on forest information collection and analysis. The task involved defining a methodology to characterize forest status using remote sensing data from multiple sensors. Partners completed the task of determining useful vegetation indices from satellite, UAV, and laser scanning data to estimate biological parameters. The group analyzed parameters with increasing detail and resolved issues related to selecting case study sites with comparable satellite and UAV data. They concluded that the work established an integrated system to monitor forests and provided detailed tree-level information for management using different data sources.
This document summarizes a hyperspectral camera and its applications for precision agriculture. It describes the camera as the world's smallest and lightest hyperspectral imaging sensor. The camera provides high resolution spectral and spatial data to help farmers monitor crop health and development, identify issues like diseases or nutrient deficiencies, optimize resource use, and forecast yields. It also helps foresters with tasks like species identification and inventory, detecting diseases or water stress, estimating timber volume, and mapping clear-cut or burned areas. The document outlines the camera's data acquisition and processing methodology, as well as examples of vegetation indices and applications for precision agriculture and forestry management.
The document summarizes the work done in Project SLOPE for system integration (WP6). It discusses the three main integration tasks: 1) integrating forest inventory and harvesting systems, 2) integrating forest management systems, and 3) validating the integrated system. Each integration task involved defining components, timelines, and test scenarios. Functional and non-functional requirements were tested across nine software versions, with over 90% of tests passed. The work package developed an integrated SLOPE system ready for pilot demonstrations and field testing.
The document summarizes the work completed for Task 1.3 of defining the human-machine interfaces for the SLOPE system. It describes the process undertaken which included analyzing existing interfaces from consortium partners and defining requirements based on user needs. Interface designs were then created for desktop, mobile, in-vehicle, and ERP systems with the desktop interface having tools for analytics, operations, and forest management. The interfaces were designed based on usability principles and to integrate with existing partner systems.
Slope Final Review Meeting - Introduction SLOPE Project
This document summarizes the agenda and objectives of a final review meeting for the SLOPE project. The SLOPE project aims to develop integrated processing and control systems to improve sustainability in mountain forest production. The meeting agenda covers reviewing progress on tasks in areas like requirements analysis, forest data collection, intelligent harvesting systems, quality control, and system integration. The objectives of the meeting are to evaluate fulfillment of deliverables, continued relevance of objectives, resource use, contributions of partners, and plans for impact and results dissemination. The review involves 10 partners across several European countries working for 36 months on developing and testing new forest monitoring and harvesting technologies.
The document summarizes work being done for Task 7.02 of the Project SLOPE, which involves preparing demonstrators to assess the technical and economic feasibility of the proposed SLOPE timber harvesting system compared to current methods. Activities being defined for the demonstrators include forest inventory, harvest planning, harvest operations, and logistics/storage/sale. Data will be collected from pilot studies on time consumption, productivity, costs, and other metrics to enable comparison between the innovative SLOPE methods and conventional approaches. Flow charts are provided as an example of how work cycles will be documented for analysis.
This document summarizes the progress of various tasks under Work Package 3 of the Project SLOPE, which aims to integrate novel intelligent harvesting systems operating in mountain areas.
Task 3.1 on intelligent tree marking has tested RFID tags on trees and developed a roadmap for the tagging process. Equipment for tagging and reading tags is available but the GPS capacity may need improvement.
Task 3.2 on processor head selection has defined requirements, requested offers from manufacturers, and selected a model, but the processor head has not yet been purchased. Re-engineering work is planned.
Task 3.5 on intelligent transport trucks is adding RFID reading, GPS, and data transmission capabilities to trucks to track timber and optimize
This document summarizes an update on Project SLOPE's Task 3.6 on data management and backup. The task aims to develop a system for exchanging data between field hardware and a central computer, and provide a data backup strategy. It is led by CNR and involves several partners. The current status is 50% complete. A key output is a prototype portable and internally powered "black box" for daily/weekly data backups and transmitting data from areas without network coverage, due by Month 25.
The document outlines work to be done for Project SLOPE Work Package 4, which aims to develop quality control of mountain forest production using multi-sensor modeling. Specific tasks for T4.4 include developing reports and models on using stress wave measurements, testing these on standing and felled trees and equipment, defining quality thresholds, and determining optimal sensor setup. The resources planned were 17 person-months and there was a delay in processor access that impacted work, but collaboration helped conclude the tasks.
The document provides an overview of activities for the Project SLOPE trials and validation cycle. It describes two survey sites in Austria and Italy where the SLOPE system will be piloted and tested. Activities performed at the sites so far include UAV and TLS surveys, tree marking, and data collection. Plans for upcoming harvesting demonstrations at each site in autumn 2016 are presented, including extraction and processing scenarios. Metrics that will be used to evaluate the efficiency of the new SLOPE system are also discussed.
Work Package 4, Task 2 aims to evaluate near infrared (NIR) spectroscopy as a tool for determining log and biomass quality indices in mountain forests. The task leader CNR will coordinate partners to collect NIR spectra at different stages of the harvesting chain and develop guidelines for proper data collection. CNR will also develop a "NIR quality index" and evaluate NIR spectroscopy for characterizing forest resources. Partners BOKU, KESLA, GREIFENBERG, and FLYBY will support CNR by providing laboratory measurements, spectra collection in the field, and calibration transfers between lab and portable equipment. The task will establish chemometric models to predict quality indicators from spectra and classify logs based on quality.
SLOPE Final Conference - innovative cable yarderSLOPE Project
This document discusses innovations in cable yarding machinery developed through the SLOPE project, which received EU funding. It describes new automated machines like the TECNO self-propelled carriage, which can transport loads of up to 3.2 tons at 4.5 meters/second and automatically unload. An automatic chocker system and rope launcher are also presented, which aim to increase efficiency and safety in cable logging operations. The overall goal of these new technologies is to automate processes and facilitate communication within the logging workflow.
The document outlines tasks related to defining requirements for Project SLOPE. Task 1.1 involves identifying user requirements through questionnaires. Task 1.2 defines hardware and equipment needs based on user requirements. Task 1.3 focuses on defining human-machine interfaces for different scenarios like planning, harvesting, and resource management. The tasks involve various partners contributing expertise in areas like 3D modeling, inventory, harvesting, and enterprise resource planning.
This document discusses Project SLOPE's Work Package 7, which focuses on piloting the SLOPE demonstrator. Task 7.1 involves defining an evaluation methodology for testing two forest supply chains. Task 7.2 prepares demonstrators by developing experimental designs and guidelines. Task 7.3 conducts trials and validation, evaluating data collection methods, processes, and the overall performance of the supply chains. Task 7.4 provides training to operators. The goals are to demonstrate models, systems, stakeholder involvement and on-the-job training. Partners will trial and validate the framework in Austria, Italy and Norway between 2014-2016.
This work package aims to develop an automated grading system using multi-sensor data to improve log segregation and supply chain efficiency in mountain forests, including using near infrared spectroscopy, hyperspectral imaging, acoustic measurements, and cutting power analysis to estimate log quality and classify logs into quality classes.
The document summarizes work from Project SLOPE Task 2.1 on remote sensing and multispectral analysis of forest sites in Ireland and Italy. Key points include:
- Participants in Task 2.1 defined approaches to monitor tree growth and health using different vegetation indexes derived from satellite, UAV, and ground instrumentation data.
- Analysis of vegetation indexes at different scales (satellite, UAV, laser scanner) allowed estimation of biological parameters and increasingly detailed information.
- A case study in Ireland using RapidEye satellite imagery to calculate NDVI, NDRE, and CCCI showed relationships between the indices and chlorophyll levels over time.
- UAV and terrestrial laser scanner data provided more
The document provides a mid-term review of work being done on Project SLOPE. It summarizes the status of tasks relating to developing an intelligent cable crane system. The TECNO self-propelled carriage has been completed mechanically and is stored, with only the electric box and wiring remaining. Work is ongoing to integrate sensors into the software over the next few months to develop deliverables due. Chokers and a synthetic rope launcher are also being developed as part of creating an intelligent cable harvesting system for steep terrain forest operations.
- Weather
- Production Targets
- Contingency Plans
Harvesting Head
Control Interface
Production
Statistics
Machine
Parameters
Tree Detection
& Recognition
SLOPE
In-Vehicle
Interface
Machine
Monitoring
Route
Planning
Cable Crane
Control
Risks and Mitigation Actions
Technical Meeting
2-4/Jul/2014
Risks:
- Integration with existing systems (MHG, TREE) not seamless
- Mobile/In-Vehicle interfaces not robust enough for field conditions
- User acceptance of new interfaces
Mitigation Actions:
- Early prototyping and testing with end users
- Modular design allowing independent development
WP7 tested the SLOPE harvesting system across two pilot sites in Italy and Austria. At the Italian site in Sover, RFID-tagged trees were felled and extracted using cable yarding. Some technical issues were encountered but valuable lessons were learned. The system was improved and demonstrated again at the Austrian site in Annaberg, where the whole supply chain was tested and productivity was higher. Comprehensive data was collected across operations and sites to validate system performance and identify areas for further improvement.
The document discusses the development of a forest information system called Project SLOPE. It involves 5 work packages, including the development of a database to support novel inventory data (WP5.1), a platform for near real-time control of forest operations (WP5.2), and an online purchasing/invoicing system for industrial timber and biomass (WP5.3). It will also include the development of modules for short-term optimization (WP5.4) and mid-long term optimization/strategic planning (WP5.5). The system will integrate data on timber quality, quantities, and origin to optimize procedures and avoid delays. It will also facilitate long-term forest planning, simulations, optimization, and
The document describes Project SLOPE which aims to develop intelligent systems for tree marking, felling, hauling, and processing in mountain forests. It outlines the tasks, participants, goals, challenges, and timeline for Task 3.1 which focuses on developing an intelligent system for tree marking using RFID tags, GPS, and a rugged tablet computer to store and access forest inventory data and mark trees efficiently in mountainous terrain. The key challenges are ensuring the systems are ergonomic for mountain forest conditions and have high tag survival and reading rates to enable full traceability.
This document summarizes a review meeting for Project SLOPE Work Package 2 on forest information collection and analysis. The task involved defining a methodology to characterize forest status using remote sensing data from multiple sensors. Partners completed the task of determining useful vegetation indices from satellite, UAV, and laser scanning data to estimate biological parameters. The group analyzed parameters with increasing detail and resolved issues related to selecting case study sites with comparable satellite and UAV data. They concluded that the work established an integrated system to monitor forests and provided detailed tree-level information for management using different data sources.
This document summarizes a hyperspectral camera and its applications for precision agriculture. It describes the camera as the world's smallest and lightest hyperspectral imaging sensor. The camera provides high resolution spectral and spatial data to help farmers monitor crop health and development, identify issues like diseases or nutrient deficiencies, optimize resource use, and forecast yields. It also helps foresters with tasks like species identification and inventory, detecting diseases or water stress, estimating timber volume, and mapping clear-cut or burned areas. The document outlines the camera's data acquisition and processing methodology, as well as examples of vegetation indices and applications for precision agriculture and forestry management.
The document summarizes the work done in Project SLOPE for system integration (WP6). It discusses the three main integration tasks: 1) integrating forest inventory and harvesting systems, 2) integrating forest management systems, and 3) validating the integrated system. Each integration task involved defining components, timelines, and test scenarios. Functional and non-functional requirements were tested across nine software versions, with over 90% of tests passed. The work package developed an integrated SLOPE system ready for pilot demonstrations and field testing.
The document summarizes the work completed for Task 1.3 of defining the human-machine interfaces for the SLOPE system. It describes the process undertaken which included analyzing existing interfaces from consortium partners and defining requirements based on user needs. Interface designs were then created for desktop, mobile, in-vehicle, and ERP systems with the desktop interface having tools for analytics, operations, and forest management. The interfaces were designed based on usability principles and to integrate with existing partner systems.
Slope Final Review Meeting - Introduction SLOPE Project
This document summarizes the agenda and objectives of a final review meeting for the SLOPE project. The SLOPE project aims to develop integrated processing and control systems to improve sustainability in mountain forest production. The meeting agenda covers reviewing progress on tasks in areas like requirements analysis, forest data collection, intelligent harvesting systems, quality control, and system integration. The objectives of the meeting are to evaluate fulfillment of deliverables, continued relevance of objectives, resource use, contributions of partners, and plans for impact and results dissemination. The review involves 10 partners across several European countries working for 36 months on developing and testing new forest monitoring and harvesting technologies.
The document summarizes work being done for Task 7.02 of the Project SLOPE, which involves preparing demonstrators to assess the technical and economic feasibility of the proposed SLOPE timber harvesting system compared to current methods. Activities being defined for the demonstrators include forest inventory, harvest planning, harvest operations, and logistics/storage/sale. Data will be collected from pilot studies on time consumption, productivity, costs, and other metrics to enable comparison between the innovative SLOPE methods and conventional approaches. Flow charts are provided as an example of how work cycles will be documented for analysis.
This document summarizes the progress of various tasks under Work Package 3 of the Project SLOPE, which aims to integrate novel intelligent harvesting systems operating in mountain areas.
Task 3.1 on intelligent tree marking has tested RFID tags on trees and developed a roadmap for the tagging process. Equipment for tagging and reading tags is available but the GPS capacity may need improvement.
Task 3.2 on processor head selection has defined requirements, requested offers from manufacturers, and selected a model, but the processor head has not yet been purchased. Re-engineering work is planned.
Task 3.5 on intelligent transport trucks is adding RFID reading, GPS, and data transmission capabilities to trucks to track timber and optimize
This document summarizes an update on Project SLOPE's Task 3.6 on data management and backup. The task aims to develop a system for exchanging data between field hardware and a central computer, and provide a data backup strategy. It is led by CNR and involves several partners. The current status is 50% complete. A key output is a prototype portable and internally powered "black box" for daily/weekly data backups and transmitting data from areas without network coverage, due by Month 25.
The document outlines work to be done for Project SLOPE Work Package 4, which aims to develop quality control of mountain forest production using multi-sensor modeling. Specific tasks for T4.4 include developing reports and models on using stress wave measurements, testing these on standing and felled trees and equipment, defining quality thresholds, and determining optimal sensor setup. The resources planned were 17 person-months and there was a delay in processor access that impacted work, but collaboration helped conclude the tasks.
The document provides an overview of activities for the Project SLOPE trials and validation cycle. It describes two survey sites in Austria and Italy where the SLOPE system will be piloted and tested. Activities performed at the sites so far include UAV and TLS surveys, tree marking, and data collection. Plans for upcoming harvesting demonstrations at each site in autumn 2016 are presented, including extraction and processing scenarios. Metrics that will be used to evaluate the efficiency of the new SLOPE system are also discussed.
Work Package 4, Task 2 aims to evaluate near infrared (NIR) spectroscopy as a tool for determining log and biomass quality indices in mountain forests. The task leader CNR will coordinate partners to collect NIR spectra at different stages of the harvesting chain and develop guidelines for proper data collection. CNR will also develop a "NIR quality index" and evaluate NIR spectroscopy for characterizing forest resources. Partners BOKU, KESLA, GREIFENBERG, and FLYBY will support CNR by providing laboratory measurements, spectra collection in the field, and calibration transfers between lab and portable equipment. The task will establish chemometric models to predict quality indicators from spectra and classify logs based on quality.
SLOPE Final Conference - innovative cable yarderSLOPE Project
This document discusses innovations in cable yarding machinery developed through the SLOPE project, which received EU funding. It describes new automated machines like the TECNO self-propelled carriage, which can transport loads of up to 3.2 tons at 4.5 meters/second and automatically unload. An automatic chocker system and rope launcher are also presented, which aim to increase efficiency and safety in cable logging operations. The overall goal of these new technologies is to automate processes and facilitate communication within the logging workflow.
The goals of the project are to develop automated quality control systems for mountain forest production using multi-sensor models. Work Package 4 involves developing various quality indices using technologies like 3D scanning, near infrared spectroscopy, hyperspectral imaging, stress wave measurements, and analysis of cutting power to optimize log and biomass segregation. The resources planned and utilized, as well as any problems and solutions, are monitored for each method.
The Task 5.3 aims to design and develop an online purchasing and invoicing platform for industrial timber and biomass. Activities completed include benchmarking existing e-trading solutions in Finland and globally, and identifying key elements for the new platform such as material identification, negotiation, bidding, and market analysis functions. The platform will facilitate trade between forest owners and buyers in a digital environment.
The document summarizes a technical meeting for Project SLOPE to discuss system integration tasks and timelines. It outlines the goals of Work Package 6 to build an integrated forest management system through three stages: integrating inventory and harvesting systems; adding forest management; and validating the full system. Task 6.2 aims to integrate forest inventory with harvesting measurement and planning tools over 14 months. Testing shows progress but some requirements and use cases remain untested. An action plan was defined to complete integration and address delays.
WP 1 of the Project SLOPE was completed and focused on defining requirements for the system. It identified user needs through questionnaires, defined the necessary hardware, equipment and sensors, specified the user interface guidelines for desktop, mobile and in-vehicle access, developed a data and metadata model for storing forest information, and designed a scalable system architecture based on service-oriented principles. All deliverables were finalized and submitted on schedule, though some partners left the project early on. The work specified what was needed to develop the SLOPE Forest Information System.
This document summarizes discussions from a July 2014 meeting of the Project SLOPE working group on openness with other activities, dissemination, and exploitation of results (WP8). Key discussion points included: overall guidelines for awareness, networking and dissemination activities; contributing to social networking platforms like LinkedIn, Facebook, and Twitter; a dissemination plan and calendar; and linking with other projects. Partners provided updates on dissemination tasks including developing a brochure, launching the project website and social media channels, releasing the first newsletter, and distributing initial press releases. An overview of relevant conferences and trade fairs for disseminating project results was also presented.
This document outlines the goals and tasks of Project SLOPE Work Package 4, which aims to develop automated quality control systems for mountain forest production using multi-sensor modeling. The goals are to improve log segregation, support efficient supply chain management, and refine growth models. The work package involves developing quality indices using 3D modeling, near infrared spectroscopy, hyperspectral imaging, stress wave analysis, and measuring cutting power to determine wood quality. Tasks include sensor calibration and optimization, data collection, model development and validation, and integrating results into a grading system.
The document provides a mid-term review of Project SLOPE, which aims to develop innovative technologies for forestry operations in mountainous areas. It summarizes the status and results of Work Package 8 on dissemination and engagement activities over the first 18 months of the 36 month project. Key activities included developing dissemination strategies and materials, establishing a website and social media presence, organizing conferences and workshops, and initiating an Industrial Advisory Board with members from the forestry industry. The review indicates that dissemination goals have been achieved so far in raising awareness of the project and that focus should now turn to specific technical areas and maintaining engagement over the remainder of the project.
Project SLOPE aims to disseminate results from sustainable forest production widely among stakeholders. Work Package 8 focuses on dissemination, exploitation of results, and standardization contributions. Key activities include developing dissemination materials, maintaining a project website and using social media, organizing workshops and a final conference, contributing to standards, and establishing an industrial advisory board. Progress will be monitored through regular reporting templates.
This document summarizes dissemination activities for the Project SLOPE from July 4-5, 2016 in Trento, Italy. It describes the dissemination plan, including a timeline of activities such as brochures, newsletters, conferences, and trade fairs planned through the project. It provides updates on the project website, social media, recent events attended, and upcoming events. It also discusses cooperation with other related projects and plans for four technical workshops to disseminate project results.
The document summarizes progress on Project SLOPE's Work Package 5, which involves developing a forest information system. It discusses the status of three tasks: 1) developing a database to support novel inventory data, which is 35% complete; 2) developing a platform for near real-time control of operations using an existing system called MHG Biomass Manager; and 3) planning online purchasing/invoicing of timber and biomass. It outlines actions taken and planned for each task to develop prototypes and integrate different modules by established deadlines.
T.2.1 – remote sensing and multispectral analysis (by fly)SLOPE Project
This document summarizes a kick-off meeting for Task 2.1, which involves using remote sensing and multispectral analysis to conduct forest inventories. The task will design an automatic method using satellite imagery and NDVI calculations to monitor forests. It will provide a first-level inventory to guide more accurate UAV and field measurements, and fuse satellite data with other sources for improved accuracy. Participants include Flyby S.r.l., CNR, Coastway, and TreeMetrics. The expected output is a report on the data, methodologies, algorithms, and results in August 2014.
T.2.4 – 3 d modelling for harvesting planning (by graphitech)SLOPE Project
This document summarizes a kick-off meeting for Task 2.4 - 3D Modelling for harvesting planning. The task aims to generate a detailed interactive 3D model of the forest environment to evaluate accessibility and efficiency of harvesting technologies in mountain forests. It will run from July to December 2015 and involve 7 partners who will develop a harvest simulation tool based on the 3D forest model. The meeting covered objectives, scheduling, participant roles, and visualization technologies to be used in developing the interactive virtual 3D environment and deployment on mobile and machine displays.
The document summarizes work package 1, task 1.5 on defining the system architecture for Project SLOPE. The task leader defined the system architecture to integrate various partner applications and technologies. Key elements included specifying design principles based on service-oriented architecture, and defining integration technologies and components like Liferay, web services, and GeoServer. The system architecture overview and component diagram were included to illustrate how the different partner systems would integrate on a deployment platform.
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2. SLOPE WP 2 – Task 2.1
Kick-off Meeting
8-9/jan/2014
Andrea Masini, PhD
Remote sensing and multispectral analysis
Remote Sensing Department
Flyby S.r.l.
3. Task 2.1: general description
Kick-off Meeting
8-9/jan/2014
• design of an automatic chain that provides a first level forest
inventory exploiting satellite imagery
• calculation of NDVI (Normalised Difference Vegetation
Indices) to monitor tree growth and biomass production also
in mountainous environment
• first level forest inventory used also to drive more accurate
UAV/in-situ measurements
• satellite-based data fusion with other data to achieve more
accurate results
5. Task 2.1: expected output
Kick-off Meeting
8-9/jan/2014
• Deliverable D2.01 (month 8 – August 2014) :
Report on remote sensing data collected, on the
methodologies and the algorithm to extract needed
information and on the generated output
6. Use of satellite data for forestry
Kick-off Meeting
8-9/jan/2014
Satellite imagery can be extremely
useful in the forestry sector in
particular for :
• forest health near real-time
monitoring
• accurate and wide forest
inventory
9. Kick-off Meeting
8-9/jan/2014
EO data used in the past for
• Cover Change Detection
• Mapping biophysical structure
• Mapping ecosystem services (carbon, water)
• Modelling trends under change scenarios
• Generating management plans
20. Other high resolution satellite data
Kick-off Meeting
8-9/jan/2014
We will investigate the following data:
21. Kick-off Meeting
8-9/jan/2014
Task 2.1 main objectives
• design of an automatic chain that provides a first level
forest inventory exploiting satellite imagery
• calculation of NDVI (Normalised Difference Vegetation
Indices) to monitor tree growth and biomass production also
in mountainous environment
• first level forest inventory used also to drive more accurate
UAV/in-situ measurements
• satellite-based data fusion with other data to achieve more
accurate results
28. WP 2.3: On Field Digital Survey Systems
1. Forest Mapper System (SatForm 3D, Remote
Sensing, Aerial LIDAR & Imagery)
2. Terrestrial Laser Scanning Forest Measurement
System (AutoStem Forest)
3. Real Time Forest Intelligence
36. Full Integration – ‘Closed Loop Control’
Multisource data
Tree modeling
Parameters relationsHarvest control
Forest pre-stratification
Initial area
Spatial generalization
Geostatistics
Area correction
Spatial analysis for
field plots locations
TLS recording
Field survey
Forest Mapping FIELD INVENTORY
Automated Processing
FINAL
STRATIFICATION
WEB SERVICES
DATA ANALYTICS
37. Some ExampleTrials: International
Validation & Facts
SkogForsk Sweden 2009/2013
Coillte Results
2008 UCC Stats Department
2010/2011 Industrial Trial Results
Scotland 2008/2013
Forest Research, Forest Enterprise Scotland
James Jones
Other Results
Greenwood Resources Oregon
SkoglandScap Norway
Forestry South Australia
US Journal of Forestry
Island Timberlands Canada
39. Manual control measurements of all logs
-Diameter and length
-Approximately one diameter per meter
-Average from two diameter
measurements per sampling point
At Remningstorp 34 trees were
measured by the operator using a caliper
Control trees
Example: Swedish Government Validation
40. Harvester production data
- Stem length and diameter measurements were used as reference
- Sample trees were harvested and harvester data collected
- Diameter measurements registered every 10 cm of stem
- Diameter from approx. 0.8 m height to last cut in tree
Strömsjöliden
Remningstorp
41. - GIS software onboard harvester for linking tree measurements from
harvester with TLS
- Manually registering made by the operator at the sample plots
Linking harvester measurements with TLS data
42. meterH
100
200
300
400
500
Height
0 1000 2000 3000
0
100
200
300
400
500
Height
0 1000 2000 3000
Control trees at Remningstorp, stand 343
Spruce 343-1-06Pine 343-3-12
Diameter
Harvester
Control
TLS
43. Site Species
Number of
trees
Mean trees
size1 (m3) Bias Std Dev RMSE
Remningstorp Pine 94 1.12 0.00 0.13 0.13
1.3% 11.6% 11.7%
Spruce 185 1.01 -0.01 0.11 0.11
-0.9% 9.2% 9.2%
Birch 16 0.44 -0.01 0.10 0.10
-8.0% 15.6% 17.5%
Strömsjöliden Pine 275 0.47 0.02 0.04 0.05
3.0% 8.8% 9.3%
Spruce 339 0.27 0.01 0.04 0.04
2.6% 9.4% 9.7%
Birch 29 0.21 0.01 0.03 0.03
2.6% 12.9% 13.2%
Volume estimates on individual trees
1. Volume: on bark, excluding top
Sweden Final Results: January 2013
50. Kick-off Meeting
8-9/jan/2014
Objectives
Task 2.4 Goal: To generate and make accessible a detailed
interactive 3D model of the forest environment.
The WP’s purpose is to develop methodologies and tools to
fully describe terrain and stand characteristics, in order to
evaluate the accessibility for and efficiency of harvesting
technologies in mountain forests.
51. Kick-off Meeting
8-9/jan/2014
Scheduling
Start Month: 7
End Month: 15
Deliverable: Harvest simulation tool based on 3D forest model
Total MM: 20
Task leader: GRAPHITECH;
Participants: CNR, KESLA, COAST, BOKU, GRE, FLY, TRE
52. Kick-off Meeting
8-9/jan/2014
Participants role
GRAPHITECH(10): Task Leader. It has in charge the development of tool for representing
the virtual 3D environment of the mountain forest as well as the of the virtual system
on mobile and machine-mounted displays. Finally it will be involved into the
developmet of the solution for interactive cableway positioning.
CNR(1): Definition of the “technology layers” (i.e. harvest parameters) and
methodologies to coordinate tree marking with the subsequent harvesting operations.
KESLA(1): Acting as final user in order to simulate the behaivor of own machine into the
virtual system
COAST(2): Provide the input model for the virtual system combining the information of
task 2.1, 2.2 and 2.3
53. Kick-off Meeting
8-9/jan/2014
Participants role
BOKU(2): it will be involved into definition of the “technology layers” (i.e. harvest
parameters) then on the developmet of the solution for interactive cableway
positioning.
GRE(1): Acting as final user in order to simulate the behaivor of own machine into the
virtual system
FLY(1): Provide the input model for the virtual system combining the information of task
2.1, 2.2 and 2.3
TRE(2): Development of the Forest WarehouseTM for mountain forestry and support
the deployment of the virtual system on the machine-mounted display
54. Kick-off Meeting
8-9/jan/2014
Platform Core
Using the remote data (Satellite, UAVs orthophotos and digital surface model) combined
with on field information (TLS), each single tree feature will be segmented including its
deducted geometric properties.
Task 2.1
Task 2.2
Task 2.3
3D forest model
Virtual 3D
environment
56. Kick-off Meeting
8-9/jan/2014
Functions
• Forestry measurements estimations;
The platform will allow the combination of accurate tree profile information
with up to date remote sensing data.
• Interactive system for cableway positioning simulation.
• Definition of the “technology layers” (i.e. harvest parameters);
Technological layers show technical limitations of machines and
equipment on different forest areas.
• Deployment of the virtual system on mobile and machine-mounted displays.
57. Kick-off Meeting
8-9/jan/2014
Functions
• Forest WarehouseTM (Treemetrics) for mountain forestry integration;
The Forest Warehouse is a web-based forest planning system that performs
bucking (log making) simulation through software developed by TRE.
58. Kick-off Meeting
8-9/jan/2014
3DVisualizationTechnologies
Interfaces Scenario
• Desktop
• Mobile
• In-vehicle embedded
Systems
Approaches
• Desktop Visualization Platform
with Mobile Porting
• Web-Client Visualization
Platform
Desktop Platform
• Open-Source Library for 3d
visualization (OpenInventor, Vtk,
Openscenegraph)
• 3d Engine ( UdK, Irrichlicht
Engine, Unity 3d)
Technologies
Web Client
• WebGL : implementation of
OpenGL ES 2.0 for web,
programmable in JavaScript
• Java Applet based on Opensource
Globe Nasa World wind
60. Kick-off Meeting
8-9/jan/2014
Thank you for your attention
DR. FEDERICO PRANDI
Federico.prandi@graphitech.it
Fondazione Graphitech
Via Alla Cascata 56C
38123 Trento (ITALY)
Phone: +39 0461.283394
Fax: +39 0461.283398
62. Index
62
1. Task objectives
2. Approaches for sites location and flow allocation decisions
3. Approaches to estimate traffic in existing roads
4. Proposed work plan
5. Contact info
63. 1.Task objectives
63
Task objectives:
Identify and analyze logistics elements within the forest and their characteristics
for site locations and flow allocation decisions
Integration of the data with the global forest model
Build and validate and Optimization model to allocate landings with the mills and
plants
Build a model to estimate traffic on individual sections for road maintenance and
construction purposes
To be developed from M8 to M13
Includes development of “D2.05 Road and logistic simulation module”
Due to Month 13.
Partners involved: all
ITENE (leader), GRAPHITECH, CNR, BOKU, FLY
64. 2. Approaches for sites location and flow
allocation decisions
64
The goal is to determine an optimal (minimum cost) forest logistic
network to respond future demands
The approach should determine:
Location of facilities (specially for new requirements)
Size an capacity of facilities (storage areas and processing sites)
Volume to harvest in every landing and stand area
Volume of timber to transport from landings to facilities (it gives a
first estimation of road traffic for road planning)
Volume of product to transport from facilities to demand sites
The model should consider inputs like location of landing áreas,
intermediate sites (storage, buffers), processing sites, demand sites,
demand volumes, routes, type of routes and distances between theses
sites.
65. 2. Approaches for sites location and flow
allocation decisions
65
Location of a single facility by center-of-
gravity method
Output: XY coordinates for the facility
Optimization based only on distances
Binary model (source-sink)
Useful for a first estimation of a facility location
to be supplied from specific lands
66. 2. Approaches for sites location and flow
allocation decisions
66
Location of selected number of facilities
by the exact center-of-gravity method
Output: XY coordinates of a selected number
of facilities
Optimization based only on distances
Binary model (source-sink)
Useful for a first estimation of 2 or more
facility locations to be supplied from specific
lands
67. 2. Approaches for sites location and flow
allocation decisions
67
P-median multiple facility location
Output: selected facilities from a list of
candidate sites receiving flows from other sites
Optimization based on transport costs and fix
costs, but lack of capacity constrains and other
inventory costs
Binary model (source-sink)
Useful for a first estimation of 2 or more facility
locations to be supplied from specific lands
68. 2. Approaches for sites location and flow
allocation decisions
68
Mixed integer linear programming
problem
Output: selected facilities and optimal flows
between nodes
Optimization based on transport costs and fix
costs, capacity constrains and inventory costs
Three stages model
More appropriate approach for a network with
more than 2 node types
lands in
forest
storage
and
facilities
(saw, mills,
biomass)
Demand
sites
69. 2. Approaches for sites location and flow
allocation decisions
69
Dynamic linear programming
Consider changing demand
Output:
Selected facilities
Size an capacity of facilities (storage and processing sites)
Volume of harvest in every landing and stand área
Volume to transport:
Timber from landings to facilities
Product from facilities to demand sites
Decision to expand production capacity in a specific
period in the planning horizon
Minimize total costs for timber supply and
transport, investment and operational costs,
product transport cost to demand sites, fixed
cost for capacity expansion
-
200
400
600
800
1.000
1.200
1 2 3 4 5 6 7
Period Demand Volume
lands in
forest
storage
and
facilities
(saw,
mills,
biomass)
Demand
sites
(normally
cities)
70. 2. Approaches for sites location and flow
allocation decisions
70
Previous Work
Facilities Location Models: An Application for the Forest Production
and Logistics
JUAN TRONCOSO T. 1, RODRIGO GARRIDO H. 2, XIMENA IBACACHE J. 3
July 2002
1 Departamento de Ciencias Forestales, Pontificia Universidad Católica de Chile, Casilla 305,
Correo 22, Santiago, Chile. E-mail: jtroncot@puc.cl
2 Departamento de Ingeniería de Transporte, Pontificia Universidad Católica de Chile.
3 Escuela de Ingeniería Forestal, Universidad Mayor.
71. 2. Approaches for sites location and flow
allocation decisions
71
Stand
Cable
ways
forest
lanes
72. 2. Approaches for sites location and flow
allocation decisions
72
minor
road
main
road
land
land
land
stand
stand
stand
73. 2. Approaches for sites location and flow
allocation decisions
73
Solution flow
Possible flow
lands in forest storage and
facilities (saw,
mills, biomass)
Demand sites
(normally cities)
74. 2. Approaches for sites location and flow
allocation decisions
74
INPUTS
Demands of product per each period and type of quality from demand site
DATA COLLECTION FOR THE MODEL
Positions of stands, lands, storage areas, processing sites (saw, paper mills and
biomass heating and power plants), demand sites
Volume available to harvest in every stand per quality of timber and destination (saw,
mill or energy)
Position for stand respect existing roads
Slope or grade of difficulty to access
Capacity of ground to support specific machinery
Size and availability of skyline deployment sites
Capacity and location of storage areas and buffers, and processing sites
Characteristics of processing sites and conversion facilities
Distances between different nodes
75. 2. Approaches for sites location and flow
allocation decisions
75
COST FACTORS
supply and transport operational costs
final product transport cost to demand sites
fixed cost for capacity expansion during the planning horizon
investment associated to construction of a new site
OUTPUT
Selected facilities
Size an capacity of facilities (storage and processing sites)
Volume of harvest in every landing and stand área
Volume to transport
Timber from landings to facilities
Product from facilities to demand sites
Decision to expand production capacity in a specific period in the planning horizon
76. 3. Approaches to estimate traffic in existing roads
76
Once the different sites and locations have been selected, and flows between
sites have been determined for each future period,
A Logistics Resource Planning Model will be used to determine the volume to
harvest in every period in every land, processing and transport means, and a
more precise estimation of traffic in every individual sections of road in terms of
number of trip per vehicles type (size, weight) in each period
This traffic estimation will allow to define plans for road maintenance and
construction in the forest area, taking into account the capability of roads to
accept trucks and cranes of different weights and sizes
77. 3. Approaches to estimate traffic in existing roads
77
Similarities to DRP method
Land 1
SITE: Saw Plant
X
City 1
Product demandHarvest orders
Land 2 City 2
78. 3. Approaches to estimate traffic in existing roads
78
SITE: Saw Plant X
Minumum Batch (harvest) (m3/period) 500
Lead time (number of periods) 1
Safety stock (m3) 200
Period 1 2 3 4 5 6 7
Demand Volume (m3) 400 500 600 1.000 500 600 1.000
Available Stock (m3) 700 300 300 200 200 200 100 100
Harvest recepcion (m3) - 500 500 1.000 500 500 1.000
Harvest order launch (m3) 500 500 1.000 500 500 1.000
Land 1
To harvest (m3) 500 500 1.000
Available m3 in land 1 2.000 1.500 1.000 -
Size of vehicle (m3) 10
Number of vehicle trips size 10m3 50 50 100
land 2
To harvest (m3) - - - 500 500 1.000 -
Available m3 in land 1 3.000 2.500 2.000 1.000 1.000
Size of vehicle (m3) 10
Number of vehicle trips size 10m3 50 50 100 -
79. 3. Proposed work plan
79
Understand the forestry supply chain and logistic processes. Choose a real scenario (ITENE, BOKU)
Review literature and formulate an Optimization model for logistics site location and flow allocation
decisions (BOKU)
Define a model to estimate traffic in existing roads (CNR)
Identify elements for the models:
Relevant logistics locations within the forest (GRAPHITECH, CNR, FLY, ITENE)
Gather info and contact with the different agents of the forest product processing (ITENE)
Define and analyze relevant characteristics of the logistics elements (ITENE)
Integration with the global forest model (ITENE)
Implement the Optimization model to allocate landings with the mills and plants and traffic calculation
on individual sections (BOKU)
Validation of model with a real scenario (BOKU)
Implement the model for road planning based on the amount of timber to be transported and
identification of traffic on existing forest infrastructure (CNR)