T.2.1 – remote sensing and multispectral analysis (by fly)
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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.
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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.
Mid-term Review Meeting - WP2
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.
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1st Technical Meeting - WP4
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.
3rd Technical Meeting - WP2
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.
Coastway technical presentation5
This document discusses the use of unmanned aerial vehicles (UAVs) and laser scanning to map forests and quantify geohazards. It describes how aerial imagery and laser altimetry data captured by UAVs can be used to generate digital elevation models, estimate tree heights, and create 3D models of forest stands. The document also explains how detailed geohazard mapping could allow for more optimized mountain forestry management by quantifying landslide, rockfall, and other risks. Overall, the document outlines how UAV and laser scanning data can provide detailed data needed to model and assess forests and geohazards.
Forest monitoring through remote sensing
To meet the various information requirements in forest management, different data sources like field survey, aerial photography, and satellite imagery is used, depending on the level of detail required and the extension of the area under study.
1st Technical Meeting - WP2
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.
Slope Final Review Meeting - WP7
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.
Presentazione Slope by boku
The document summarizes a partner presentation for a kick-off meeting. It describes the University of Natural Resources and Life Sciences in Vienna which focuses on managing natural resources, biospheres, and life sciences. It provides facts about students, staff, publications and conferences. It also lists 16 departments covering various fields including material sciences, biotechnology, forestry, soil sciences, food science, and more. It outlines the university's role and responsibilities in the SLOPE project, piloting a demonstrator and evaluating technologies. Key responsible persons are identified and their areas of expertise described.
Planning and environmental impact assessment (EIA)
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Towards efficient and effective EIAs and how GIS can help.
Janet Burns
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Slope Final Review Meeting - WP2
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.
Building a GeoKnowledge Community
The document discusses Landmap, which provides the UK academic community access to satellite and aerial imagery datasets through their data and metadata collections. It aims to enable students and researchers from various disciplines to incorporate spatial data into their research. Landmap is working to increase awareness and access to its spatial data by delivering open educational resources, providing metadata in ISO and linked data formats, and developing new OGC web services like WPS. The goal is to build a geoknowledge community and support cutting edge research across disciplines using spatial data.
Remote sensing and mapping tool development of NFA Project in Vietnam
The document summarizes remote sensing and mapping tool development by the National Forest Administration (NFA) project in Vietnam to support national forest inventories, statistics programs, and REDD+ monitoring requirements. Key activities included:
1) Developing land use and forest type classification methods using SPOT-5 and DMC satellite imagery to map resources on national and local levels.
2) Creating forest distribution maps and a centralized forestry database to provide statistical data.
3) Developing change detection tools to monitor land use and forest type changes over time to support reporting under NFI Cycle 5 and REDD+.
RS GIS USDA.ppt
The document summarizes the mission and operational programs of the USDA Forest Service Remote Sensing Applications Center (RSAC). The RSAC provides remote sensing support for active wildfire management, post-fire assessment, and other applications. Specific programs discussed include the MODIS Active Fire Mapping Program, Burned Area Emergency Response imagery support, Rapid Assessment of Vegetation Condition after Wildfire, and potential support for post-catastrophic weather event assessment. The RSAC utilizes a variety of satellite sensors and conducts analysis to generate maps and data for rapid response applications.
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Mapping rice and rice growing environments presented at the International Rice Congress in Bangkok 2014.
Sustainable Wetlands Adaptation and Mitigation Program
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given during the Forests Asia summit in the discussion forum "Managing mangrove forests for climate change mitigation and adaptation benefits" focuses on the SWAMP objectives, goals, how to use SWAMP to assess carbon pools and what's going to happen to the mangroves during and after the sea level rise.
Deep Learning Methods for Grassland Activity Monitoring.pdf
Iason Tsardanidis, Vasileios Sitokonstantinou, Alkiviadis Koukos,
Athanassios Drivas and Dr. Charalampos Kontoes
Agricultural landscape segmentation: a stochastic method to map heterogeneous...
Agricultural landscapes are composed of many land management units. Involved stakeholders or specific research foci can define these units differently (Straume, 2014; Zanten et al., 2013); therefore, their study requires innovative approaches able to address temporal and spatial dynamics using multiple data sources (Brown et al., 2013). Methods to do so, in the literature, differ mainly in disciplinary backgrounds and study targets (e.g. environmental protection, conservation of cultural features). In this context, agronomy appears to have a marginal role because of relatively little interest in spatially explicit and context-related issues in agriculture. Accordingly, the emerging landscape agronomy field claims for to increase understanding of interactions between farming practices and natural resources at the landscape level (Benoît, Rizzo et al., 2012). We aimed to develop a method able to handle heterogeneous spatial data when defining land management units. We tested a stochastic data mining method originally developed for temporal and spatial modelling of agricultural land uses (Mari, Lazrak, & Benoît, 2013). We stressed the Markov random field (MRF) assumption of this method by assuming that characteristics of a spatial unit depend on characteristics of neighbouring units. The study was carried out on a Mediterranean terraced olive grove farming system (62 km 2 , Monte Pisano, central Italy). Different sets and classifications of variables were tested based on natural and management issues. Finally, the landscape was segmented using six variables: geology, aspect, morphology, land cover, terrace type and proximity to roads. The layers were sampled on a regular point grid, and then the MRF was approximated to a hidden Markov model using a space-filling curve. Results consisted of a set of maps of agro-environmental land management units and a hierarchy of related landscape characteristics. This exploratory method can improve landscape research by providing a rapid assessment of heterogeneous data in a spatially explicit way.
_______________
suggested citation: Rizzo D, Mari JF, Marraccini E, Lazrak EG (2014) Agricultural landscape segmentation: a stochastic method to map heterogeneous variables. 1st IALE-Europe Thematic Workshop: Advances in Spatial Typologies: How to move from concepts to practice? Lisbon (Portugal). http://bit.ly/1Ag59mV
Joint GWP CEE/DMCSEE training: Copernicus Land Monitoring Services for drough...
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LAMPRE - User needs and communication approach to landslide hazards
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More from SLOPE Project
Slope Final Review Meeting - WP8
The document summarizes the results of WP8 Task 8.1 on dissemination planning and publications. It describes the dissemination activities carried out, including developing dissemination materials, maintaining a project website and social media presence, organizing workshops and conferences, engaging with other related projects, publishing scientific papers and articles, and issuing press releases to promote the project results. The task was completed over the full 36-month project period and ensured visibility of the project activities and wide dissemination of the technical results.
Slope Final Review Meeting - Introduction
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.
Slope Final Review Meeting - WP6
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.
Slope Final Review Meeting - WP5
The document summarizes work from Project SLOPE's Work Package 5 on developing a forest information system. It discusses five tasks related to creating different modules for the system. The tasks focused on developing a database, real-time operations platform, online purchasing platform, and short and long-term optimization modules. All prototypes were completed and delivered by month 36. The system integrates forest data and provides tools to support planning, operations management, sales and optimization across timescales. It represents an innovative approach to developing a modern, integrated digital system for the forest sector.
Slope Final Review Meeting - WP4
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.
Slope Final Review Meeting - WP3
The document summarizes the work done for Task 3.4 of the SLOPE project. An intelligent processor head was developed that can perform grading and marking of logs. Sensors were added to measure stress waves, cutting forces, near infrared spectra and hyperspectral images. The processor head can determine wood properties and mark each log with an RFID tag containing collected information. All systems were designed, implemented and tested on the processor head prototype, fulfilling the objectives of the task.
Slope Final Review Meeting - WP1
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.
SLOPE 2nd workshop - presentation 3
1) Researchers evaluated RFID UHF tags for electronically marking standing trees by testing different tag models attached using screws, staples, or other methods. Tags attached using staples on the underside of bark performed best, with all tags still functioning after one year.
2) The study examined how factors like tag and reader position, moisture content, and dynamic reading influence RFID readability. Distance between tag and reader, moisture content, and angle had significant effects on readability, while tag position on or within the tree also impacted performance.
3) Preliminary results found that moisture content reduction to 40% improved readability by 20%, and tag readability decreased with increasing distance between tag and reader, but
SLOPE 2nd workshop - presentation 4
Researchers tested the durability of RFID UHF tags during timber harvesting operations. They applied two types of tags - Wintag Flexytag and Smartrac Shortdipole - using single or double stapling. The tags were applied to trees and logs in three sites undergoing cable yarding and tractor transport. They found an overall 97% survival rate for tags, with 91% surviving in the site with the steepest terrain. Tag survival was slightly lower for shortdipole tags stapled singly compared to tags stapled doubly or Wintag tags. The researchers concluded RFID tags can successfully endure forest operations and provide traceability, though visibility may decrease over longer transport distances.
SLOPE Final Conference - innovative cable yarder
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.
SLOPE Final Conference - sensors for timber grading in forest
The document discusses a project that aims to develop an automated timber grading system using multiple sensors. The goals are to optimize log segregation, improve supply chain efficiency, and provide data to refine growth models. Sensors will assess quality indexes for properties like density, knots, and decay. Models will predict grade based on sensor data. A combined quality index will determine suitability for different end uses, integrating indexes from different sensors. The system will help match logs to their best uses and increase value recovered from forests.
SLOPE Final Conference - remote sensing systems
This document discusses Coastway's involvement in the SLOPE project, which tested the use of unmanned aerial vehicles (UAVs) and remote sensing to support forest inventory work. As part of Work Package 2, Coastway captured aerial imagery using fixed-wing drones across several test sites in Ireland. The drones tested different camera payloads, including RGB, multispectral, and near-infrared cameras. The goal was to create digital terrain models, digital elevation models, and digital canopy models, and to combine the UAV data with terrestrial laser scans and satellite imagery. The document describes the flight planning, site preparation, and data processing methods used to generate orthomosaics, point clouds, and models of the
SLOPE 3rd workshop - presentation 3
This document discusses using near infrared (NIR) spectroscopy to characterize bio-materials. It outlines how NIR can be used to determine the chemical composition, physical properties, and anatomical features of materials like wood and paper. Specific applications mentioned include identifying wood species and origin, assessing virgin wood, characterizing particleboards, selecting biomass for conversion processes, and developing calibration models to predict the chemical composition of willows. The document highlights the benefits of NIR including its non-destructive nature, speed, and ability to determine multiple components simultaneously.
SLOPE 3rd workshop - presentation 4
Bio-materials for building envelope-expected performance, life cycle costing & controlled degradation
SLOPE 3rd workshop - presentation 1
The document provides an overview of near infrared (NIR) spectroscopy and its applications for wood science and technology. It discusses the history and principles of NIR spectroscopy. Specific topics covered include the electromagnetic spectrum, molecular vibrations, instrumentation, sample presentation, calibration and validation strategies, and applications for measuring various wood characteristics. The document serves to introduce NIR technology and its use for analyzing wood.
SLOPE Final Conference - intelligent machines
This document discusses the design and development of sensor systems to be installed on a harvester head as part of the SLOPE project. It describes taking measurements of an existing harvester head using scanning and 3D modeling techniques. The document outlines plans to design new subsystems that include a scanning bar for cameras, sensors to measure cutting and debarking forces, systems for evaluating stress waves in wood using lasers and accelerometers, and an RFID tagging system. The goal is to integrate these new sensor systems and hardware into the harvester head to enable machine control and data collection for research.
SLOPE 4th workshop - presentation 5
SLOPE Viewer und SLOPE Woodlandmanager
Software für Ernteplanung und Optimierung
SLOPE 4th workshop - presentation 4
The document discusses processor heads for logging machines and quality assessment of logs. Processor heads are used for felling, delimbing, and crosscutting trees. Sensors can measure diameter, length, and position. Marking and sorting by volume, length, and assortment allows for simplified logistics. Quality is assessed visually in the forest and with sensors in sawmills. A concept for an intelligent processor head includes sensors like NIR, hyperspectral imaging, RFID, and stress waves to interact with databases, measure loads and volumes, and provide full traceability and quality assessment of individual logs. RFID marking associates quality indexes to logs for full traceability of timber products.
SLOPE 4th workshop - presentation 2
Waldinventur mittels Drohnenbefliegung und Terrestrial Laser Scanning
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SLOPE Final Conference - sensors for timber grading in forest
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AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
T.2.1 – remote sensing and multispectral analysis (by fly)
- 1. SLOPE WP 2 – Task 2.1 Remote sensing and multispectral analysis Andrea Masini, PhD Remote Sensing Department Flyby S.r.l. Kick-off Meeting 8-9/jan/2014
- 2. Task 2.1: general description • 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 Kick-off Meeting 8-9/jan/2014
- 3. Task 2.1: participants •Flyby S.r.l. (Leader) • CNR • Coastway • TreeMetrics Kick-off Meeting 8-9/jan/2014
- 4. Task 2.1: expected output • 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 Kick-off Meeting 8-9/jan/2014
- 5. Use of satellite data for forestry Satellite imagery can be extremely useful in the forestry sector in particular for : • forest health near real-time monitoring • accurate and wide forest inventory Kick-off Meeting 8-9/jan/2014
- 6. Use of satellite data for forestry Studies Different type of analysis Kick-off Meeting 8-9/jan/2014
- 7. EO data used so far for forestry LOW SPATIAL RESOLUTION Kick-off Meeting 8-9/jan/2014
- 8. 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 Kick-off Meeting 8-9/jan/2014
- 9. The vegetation indexes Kick-off Meeting 8-9/jan/2014
- 10. The vegetation indexes Kick-off Meeting 8-9/jan/2014
- 12. RapidEye satellite imagery Kick-off Meeting 8-9/jan/2014
- 13. RapidEye satellite imagery Kick-off Meeting 8-9/jan/2014
- 14. RapidEye satellite – Forestry Studies Kick-off Meeting 8-9/jan/2014
- 15. RapidEye satellite – Forestry Studies Kick-off Meeting 8-9/jan/2014
- 16. RapidEye satellite – Forestry Studies Kick-off Meeting 8-9/jan/2014
- 17. RapidEye satellite - Forestry Kick-off Meeting 8-9/jan/2014
- 18. RapidEye satellite – Forestry Studies Kick-off Meeting 8-9/jan/2014
- 19. Other high resolution satellite data We will investigate the following data: Kick-off Meeting 8-9/jan/2014
- 20. 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 Kick-off Meeting 8-9/jan/2014