@prefix dcat: . @prefix dct: . @prefix foaf: . @prefix hydra: . @prefix vcard: . @prefix xsd: . a dcat:Catalog ; dct:language "en" ; dct:modified "2026-04-09T12:54:27.550035"^^xsd:dateTime ; dct:title "SINTETIC Project Data Catalog" ; dcat:dataset , , ; foaf:homepage . a hydra:PagedCollection ; hydra:first "https://catalog.sintetic.iit.cnr.it//catalog.ttl?page=1" ; hydra:firstPage "https://catalog.sintetic.iit.cnr.it//catalog.ttl?page=1" ; hydra:itemsPerPage 100 ; hydra:last "https://catalog.sintetic.iit.cnr.it//catalog.ttl?page=1" ; hydra:lastPage "https://catalog.sintetic.iit.cnr.it//catalog.ttl?page=1" ; hydra:totalItems 3 . a dcat:Dataset ; dct:description "SINTETIC Project leaflet" ; dct:identifier "4e88552f-806c-4510-8393-1d2f1b06f8aa" ; dct:issued "2024-05-03T14:27:07.786733"^^xsd:dateTime ; dct:modified "2026-03-19T15:19:57.654650"^^xsd:dateTime ; dct:publisher ; dct:title "SINTETIC Project leaflet" ; dcat:distribution ; dcat:keyword "SINTETIC Project", "leaflet" ; dcat:landingPage . a dcat:Distribution ; dct:description "Sintetic Project leaflet" ; dct:format "PDF" ; dct:issued "2024-05-03T14:29:09.819455"^^xsd:dateTime ; dct:modified "2024-05-03T14:29:09.808723"^^xsd:dateTime ; dct:title "Sintetic Project leaflet" ; dcat:accessURL ; dcat:mediaType "application/pdf" . a dcat:Dataset ; dct:description "Project publications " ; dct:identifier "688f28f2-75cf-4dab-8644-643bd1d346fe" ; dct:issued "2024-05-10T09:59:24.106808"^^xsd:dateTime ; dct:modified "2026-04-09T12:54:27.550035"^^xsd:dateTime ; dct:publisher ; dct:title "SINTETIC PUBLICATIONS" ; dcat:contactPoint [ a vcard:Organization ; vcard:fn " Project partrners et al." ] ; dcat:distribution , , , , , , ; dcat:keyword "RFID", "digitalization", "timber supply chain tracking" . a dcat:Distribution ; dct:description """Jenny Magali Morocho Toaza, Gianni Picchi, Carla Nati, Stelian Alexandru Borz\r Abstract\r The growing demand for effectiveness in forestry and the wood supply chain calls for the development of industry-specific digital tools. This study analyzed the accuracy of plot-level basal area estimates and the time efficiency of a new mobile application - Tree Scanner (hereafter referred to as Platform 1), using measurements sourced from a FDJ Trion P1 Scanner PLS (personal laser scanner, hereafter referred to as Platform 2) as a reference, by considering 50 plots of 300 m2 each characterized by a wide diversity in tree biometrics, age, species, and density. The results indicate that the accuracy levels achieved by the mobile application are comparable to those derived from professional Light Detection and Ranging (LiDAR) scanners (BIAS = 1.950 m2/ha, MAE = 2.292 m2/ha, and RMSE = 3.085 m2/ha). Furthermore, the average measurement time was significantly shorter with Platform 1 (11 s/tree) compared to Platform 2 (51 s/tree), not accounting for the additional processing time required to produce results with Platform 2. This research concludes that Platform 1 represents a promising tool for enhancing the efficiency of data sourcing for forest inventories, offering an alternative that can significantly improve the speed of acquiring crucial information for decision-making. """ ; dct:format "PDF" ; dct:issued "2025-09-29T14:39:33.403939"^^xsd:dateTime ; dct:modified "2025-09-29T15:04:19.358621"^^xsd:dateTime ; dct:title "Accuracy and time efficiency of a new app developed to source and map single tree data: A comparison to state-of-art LiDAR data collectors in terms of basal area estimates" ; dcat:accessURL . a dcat:Distribution ; dct:description """Elias, M.; Forkuo, G.O.; Picchi, G.; Nati, C.; Borz, S.A. \r Abstract\r Recently, the development of smartphone apps has resulted in a wide range of servicesbeing offered related to wood supply chain management, supporting decision-makingand narrowing the digital divide in this business. This study examined the performanceof Tree Scanner (TS)—a LiDAR-based smartphone app prototype integrating advancedalgorithms—in estimating and providing instant data on log volume through direct digitalmeasurement. Digital log measurements were conducted by two researchers, who eachperformed two repetitions; in addition to accuracy, measurement-time efficiency was alsoconsidered in this study. The results indicate strong agreement between the standard (man-ual) and digital measurement estimates, with an R2> 0.98 and a low RMSE (0.0668 m3), aswell as intra- and inter-user consistency. Moreover, the app showed significant potential forproductivity improvement (38%), with digital measurements taking a median time of 21 sper log compared to 29 s per log with manual measurements. Its ease of use and integrationof several key functionalities—such as Bluetooth transfer, remote server services, automaticspecies identification, the provision of instant volume estimates, compatibility with RFIDtags and wood anatomy checking devices, and the ability to document the geographiclocation of measurements—make the Tree Scanner app a useful tool for integration intowood traceability systems. """ ; dct:format "PDF" ; dct:issued "2025-09-29T14:49:25.883316"^^xsd:dateTime ; dct:modified "2025-09-29T15:06:19.541118"^^xsd:dateTime ; dct:title "Accuracy of a Novel Smartphone-Based Log Measurement App in the Prototyping Phase" ; dcat:accessURL . a dcat:Distribution ; dct:description """Pichler, G.; Sandak, J.; Picchi, G.; Kastner, M.; Graifenberg, D.; Stampfer, K.; Kühmaier, M.\r Abstract: Digital transformation of the timber supply chain is more relevant at present than ever\r before. Timber tracking is one example of digital transformation, and can be performed in various\r locations, from the forest to the mill, or even beyond, to the final timber product. The integration\r of new technologies in the forestry and timber industries should contribute to enhancing supply\r chain efficiency and safety. For this purpose, a new timber tracking and processing system was\r tested by integrating RFID (Radio Frequency IDentification) technology with digital survey tools and\r intelligent machines, into a smart timber supply chain. A case study on this process was carried out\r in a mountain forest in Austria. The tags were used to link information to single items (trees and logs)\r and transfer relevant data (species, diameter, length, volume, defects, density, stiffness, branchiness,\r etc.), throughout the whole supply chain. The performance of the technology was analyzed by means\r of process flow, bottleneck, and risk analyses. Fourteen spruce trees went through the supply chain\r process from the forest stand to the log yard, monitored by the new timber tracking and processing\r system. The results revealed that the new system is useful for transferring information through the\r timber supply chain, and the system costs remained at a normal market level. The weakest point\r in the supply chain was the processing of the trees by the intelligent prototype processor. A high\r error rate and low durability lead to higher idling time and harvesting cost, but the findings of this\r study can be used to further improve this system. All other processes worked well and were at a\r marketable level.""" ; dct:format "PDF" ; dct:issued "2024-05-10T10:05:37.524709"^^xsd:dateTime ; dct:modified "2025-07-07T09:44:49.759810"^^xsd:dateTime ; dct:title "Timber Tracking in a Mountain Forest Supply Chain: A Case Study to Analyze Functionality, Bottlenecks, Risks, and Costs" ; dcat:accessURL . a dcat:Distribution ; dct:description """De Luca G., Arcidiaco L., Corongiu M., De Filippis T., Nati C., Rogai M. and Gianni Picchi
\r https://doi.org/10.1007/978-3-031-97663-6_36
\r Abstract\r Illegal logging is a global issue with severe ecological, economic, and social consequences. In Europe, it often occurs as small-scale, selective harvesting, which, despite its limited footprint, significantly contributes to forest degradation, biodiversity loss, and ecosystem disruption. Detecting illegal logging is essential for assessing its impacts and supporting sustainable forest management. However, its fragmented nature poses significant detection challenges, requiring advanced monitoring solutions. This study presents an exploratory data analysis and preliminary results toward a semi-automatic monitoring framework developed within the EU Horizon SINTETIC project (Single Item Identification for Forest Production, Protection, and Management). The framework integrates high-resolution satellite data from Sentinel-1 (SAR) and Sentinel-2 (multispectral) to analyze time-series trends in optical spectral indices and dual-polarized SAR backscatter, identifying distinctive patterns associated with logging events. An unsupervised sliding-window breakpoint detection algorithm was implemented to detect logging-induced disturbances in satellite time series. The method was validated using georeferenced ground data from legal mechanized logging operations, provided in StanForD 2010 standard format. Two logging scenarios were examined: clear-cutting and selective logging. The exploratory analysis provided valuable insights into forest disturbance patterns, while breakpoint analysis successfully identified the timing of logging events in both scenarios. This system offers a promising approach for detecting illegal logging.""" ; dct:format "PDF" ; dct:issued "2025-07-07T09:23:16.491019"^^xsd:dateTime ; dct:modified "2026-02-20T14:49:25.535886"^^xsd:dateTime ; dct:title "Towards Semi-automatic Detection of Illegal Logging: Integrating Optical and SAR Satellite Imagery with StanForD Field-Machine Data. Giandomenico De Luca, Lorenzo Arcidiaco, Manuela Corongiu, Tiziana De Filippis, Carla Nati, Martino Rogai & Gianni Picchi " ; dcat:accessURL . a dcat:Distribution ; dct:description """Heli Kymäläinen, Borja García-Pascual, Carlos Martín-Cortés, Martino Rogai, Mari Selkimäki, Xin Zhou, Esteban Arboix, Mauricio Acuna, Blas Mola-Yudego\r This study investigates a gamified real-time assistance concept for forest harvesters, integrating augmented reality (AR) and LiDAR-based data visualization through a head-up display (HUD). The approach draws from gamification principles—enhancing engagement, feedback, and situational awareness—to support operator decision-making and ergonomics. A field test was conducted in Ilomantsi, Finland, employing a John Deere 1170G harvester equipped with an external LiDAR scanner and an in-cabin holographic HUD. Real-time tree detection and diameter estimation were achieved through LiDAR data processing with a YOLO-based convolutional neural network. The system successfully projected tree positions and estimated diameters onto the HUD during the felling of 60 trees. Operator workload, assessed using the NASA-TLX method, indicated low cognitive strain and positive usability feedback. The results demonstrate the feasibility of real-time holographic visualization in dynamic forest environments but highlight calibration and information flow challenges. Further improvements are needed in system setup, eye-position alignment, and data visualization to optimize ergonomic benefits and decision support in mechanized harvesting operations.""" ; dct:format "PDF" ; dct:issued "2026-04-09T12:53:16.095784"^^xsd:dateTime ; dct:modified "2026-04-09T12:54:27.552595"^^xsd:dateTime ; dct:title "Real-time Assistance with AR HUD Screen in the Forest Harvester Machine" ; dcat:accessURL . a dcat:Distribution ; dct:description """Benjamin Engler, Gwendolin Hartmann, Piotr S. Mederski, Leo G. Bont, Gianni Picchi, Gerard Alcoverro, Thomas Purfürst, Janine Schweier.\r Abstract\r Purpose of the Review The aim of the review was to better understand the impacts of the dominant harvesting systems in\r Europe, namely harvester-forwarder (HFW), chainsaw-skidder (CSK), and chainsaw-cable yarder (CCY). Furthermore, we\r aimed to learn how the impact categories environment, economy, ergonomics, people and society, and quality optimization\r are related to the European biogeographical regions Boreal, Continental, Alpine, and Mediterranean forests. Based on this,\r key drivers for the future development of forest operations were identified. It was specifically not the aim to develop models\r through the outcome of this study.\r Recent Findings HFW harvesting systems dominate in Boreal (99%) and Continental forests (72%). In Alpine forests the\r most relevant, even when not dominant, harvesting system is CCY (47%). CSK harvesting systems are applied in all bio-\r geographical regions, with a focus on Mediterranean (70%), Alpine (50%) and Continental (22%) forests. Major drivers for\r harvesting system development were identified: (i) increased environmental constraints, (ii) increased complexity of harvest-\r ing caused by an increasing area of mixed-forest stands, (iii) increased resource efficiency fostered by a growing demand for\r wood products, (iv) a reduced available work force resulting from heightened competition for skilled worker and an aging\r population, and (v) more transparent work and material flows through the introduction of digitalization.\r Summary A literature review from 110 journal articles and 975 datasets from four biogeographical regions in Europe, spe-\r cifically from Estonia, Germany, Spain and Switzerland was performed. Most of the reviewed papers included information\r about economic or environmental impacts, while ergonomics, quality optimization and societal aspects were less in focus.\r The impacts from the HFW, CSK and CCY harvesting systems were evaluated against regional conditions. Unfortunately, a\r common understanding of harvesting system evaluation is missing, which limits the comparability of results between dif-\r ferent regions.""" ; dct:format "PDF" ; dct:issued "2025-07-07T09:57:12.848825"^^xsd:dateTime ; dct:modified "2026-02-05T10:06:04.477317"^^xsd:dateTime ; dct:title "Impact of Forest Operations in Four Biogeographical Regions in Europe: Finding the Key Drivers for Future Development." ; dcat:accessURL . a dcat:Distribution ; dct:description """Arcidiaco L., Ruano A., Corongiu M., De Filippis T.A., Romanelli S., and Picchi G.\r \r Abstract\r Illegal logging is an environmental crime on a global scale, and the cost of this criminal practice extends far beyond financial losses; in fact it involves environmental devastation, deforestation, habitat fragmentation, and the extinction of irreplaceable species. Addressing this issue involves implementing various solutions, including active control of forest areas and certification of the origin of timber from sustainably and legally managed resources. The EU project SINTETIC fosters the development of a highly detailed traceability system of timber products, from the standing tree to the final wooden product. This system leverages both on the ground data from the value chain and remotely sensed data to develop an early alert system for automatic detection of illegal logging operations, which in case of low intensity harvest (selective cut of best trees) produce little signal and are particularly difficult to detect with statistical models.""" ; dct:format "PDF" ; dct:issued "2025-07-07T09:37:48.423185"^^xsd:dateTime ; dct:modified "2025-07-07T09:46:17.330658"^^xsd:dateTime ; dct:title "Combination of satellite and ground based digital data for automatic illegal logging detection" ; dcat:accessURL ; dcat:mediaType "application/pdf" . a dcat:Dataset ; dct:description "SINTETIC Outcomes" ; dct:identifier "e48379b8-5af2-417e-90f8-e0f88c55e867" ; dct:issued "2026-02-05T10:34:02.367897"^^xsd:dateTime ; dct:modified "2026-03-04T09:16:50.117042"^^xsd:dateTime ; dct:publisher ; dct:title "SINTETIC DELIVERABLES" ; dcat:distribution , , , , , , , , , , , , ; dcat:keyword "Deliverables", "Outcomes", "SINTETIC Project" . a dcat:Distribution ; dct:format "PDF" ; dct:issued "2026-02-05T10:40:44.628603"^^xsd:dateTime ; dct:modified "2026-02-05T10:43:38.694521"^^xsd:dateTime ; dct:title "D3.3 Web APP to process and report forest inventory information (ForestHQ)" ; dcat:accessURL ; dcat:mediaType "application/pdf" . a dcat:Distribution ; dct:format "PDF" ; dct:issued "2026-02-05T10:38:32.948442"^^xsd:dateTime ; dct:modified "2026-02-05T10:43:10.106370"^^xsd:dateTime ; dct:title "D1.5 Geospatial and platform data model, conceptual scheme" ; dcat:accessURL ; dcat:mediaType "application/pdf" . a dcat:Distribution ; dct:format "PDF" ; dct:issued "2026-02-05T10:55:11.723718"^^xsd:dateTime ; dct:modified "2026-02-05T10:57:08.697123"^^xsd:dateTime ; dct:title "D6.11 Policy brief 2 – Early quality assessment of timber products" ; dcat:accessURL ; dcat:mediaType "application/pdf" . a dcat:Distribution ; dct:format "PDF" ; dct:issued "2026-02-05T10:53:31.078254"^^xsd:dateTime ; dct:modified "2026-02-05T10:55:11.717575"^^xsd:dateTime ; dct:title "D6.10 Policy brief 1 – Privacy issues with digital data" ; dcat:accessURL ; dcat:mediaType "application/pdf" . a dcat:Distribution ; dct:format "PDF" ; dct:issued "2026-02-05T10:47:51.868414"^^xsd:dateTime ; dct:modified "2026-02-05T10:49:46.566284"^^xsd:dateTime ; dct:title "D6.6 White Paper on SINTETIC contribution addressing the EUDR 16298/22 EU legislation requirements" ; dcat:accessURL ; dcat:mediaType "application/pdf" . a dcat:Distribution ; dct:format "PDF" ; dct:issued "2026-02-05T10:50:59.316493"^^xsd:dateTime ; dct:modified "2026-02-05T10:53:31.067235"^^xsd:dateTime ; dct:title "D6.8 IPR and Knowledge management strategies " ; dcat:accessURL ; dcat:mediaType "application/pdf" . a dcat:Distribution ; dct:format "PDF" ; dct:issued "2026-02-05T10:37:22.253211"^^xsd:dateTime ; dct:modified "2026-02-05T10:42:47.605790"^^xsd:dateTime ; dct:title "D1.3 Data Management Plan (2nd version)" ; dcat:accessURL . a dcat:Distribution ; dct:format "PDF" ; dct:issued "2026-02-05T10:45:44.579354"^^xsd:dateTime ; dct:modified "2026-02-05T10:47:51.858267"^^xsd:dateTime ; dct:title "D6.3 Practice abstract – batch 1" ; dcat:accessURL ; dcat:mediaType "application/pdf" . a dcat:Distribution ; dct:format "PDF" ; dct:issued "2026-02-05T10:58:37.039049"^^xsd:dateTime ; dct:modified "2026-02-05T10:59:44.054840"^^xsd:dateTime ; dct:title "D7.1 Project management plan" ; dcat:accessURL ; dcat:mediaType "application/pdf" . a dcat:Distribution ; dct:format "PDF" ; dct:issued "2026-02-05T10:59:44.061388"^^xsd:dateTime ; dct:modified "2026-03-04T09:16:50.120206"^^xsd:dateTime ; dct:title "D7.2 Internal Quality Control Methodology (MS7.5) (CTFC)" ; dcat:accessURL ; dcat:mediaType "application/pdf" . a dcat:Distribution ; dct:format "PDF" ; dct:issued "2026-02-05T10:49:46.572191"^^xsd:dateTime ; dct:modified "2026-02-05T10:50:59.306225"^^xsd:dateTime ; dct:title "D6.7 Business uptake and exploitation plan- initial phase" ; dcat:accessURL ; dcat:mediaType "application/pdf" . a dcat:Distribution ; dct:format "PDF" ; dct:issued "2026-02-05T10:57:08.708895"^^xsd:dateTime ; dct:modified "2026-02-05T10:58:37.029278"^^xsd:dateTime ; dct:title "D6.14 SINTETIC Bussines uptake and exploitation plan.pdf" ; dcat:accessURL ; dcat:mediaType "application/pdf" . a dcat:Distribution ; dct:format "PDF" ; dct:issued "2026-02-05T10:35:00.484226"^^xsd:dateTime ; dct:modified "2026-02-05T10:42:21.153325"^^xsd:dateTime ; dct:title "D1.1 Data Management Plan (1st version)" ; dcat:accessURL ; dcat:mediaType "application/pdf" . a foaf:Document . a foaf:Agent ; foaf:name " SINTETIC Project" .