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Iskalni niz: "avtor" (Mitja Skudnik) .

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Uporabnost nacionalnih podatkov laserskega skeniranja in cikličnega aerofotografiranja pri zaznavanju gozdnih vrzeli
Anže Martin Pintar, Mitja Skudnik, 2024, izvirni znanstveni članek

Povzetek: Gozdna tla zastirajo drevesne krošnje in gozdna vrzel je vsaka večja ali manjša površina tal, ki je ne prekrivajo krošnje zgornjega sloja dreves. Velikost vrzeli vpliva na to, katera drevesna vrsta se bo pomladila, pa tudi na vertikalno in horizontalno strukturo gozda. Na Pohorju (Pahernikova gozdna posest, za katero so značilni gozdovi, v katerih se na majhnih površinah pojavljajo drevesa različnih premerov in starosti) smo analizirali možnosti samodejnega zaznavanja vrzeli na podlagi podatkov Laserskega skeniranja Slovenije (LSS) in Cikličnega aerofotografiranja Slovenije (CAS). Uporabili smo digitalna modela krošenj (DMK), pridobljena iz obeh virov podatkov. Skupna natančnost zaznavanja tudi najmanjših vrzeli (manjših od 50 m2 ) na podlagi podatkov LSS je znašala 94,4 %, na podlagi podatkov CAS pa 83,1 %. Na podlagi podatkov LSS je mogoče zaznati večje število in površino vrzeli, prav tako so vrzeli, pridobljene na podlagi podatkov LSS, bolj razčlenjene in podolgovate. Zaznavanje vrzeli s podatki CAS in LSS je medsebojno bolj primerljivo pri najmanjših površinah vrzeli 100 m2 , natančnost zaznave takšnih vrzeli je 85,4 oziroma 94,4 %. Rezultati kažejo, da je ob odsotnosti podatkov LSS uporaba podatkov CAS za določanje vrzeli smiselna na velikopovršinski ravni in pri zaznavanju vrzeli, večjih od 100 m2 .
Ključne besede: raznomerni gozdovi, raznodobni gozdovi, digitalni model krošenj, gozdna vrzel, daljinsko zaznavanje, Lasersko skeniranje Slovenije, LSS, Ciklično aerofotografiranje Slovenije, CAS
Objavljeno v DiRROS: 08.07.2024; Ogledov: 80; Prenosov: 28
.pdf Celotno besedilo (2,77 MB)
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National Forest Inventory in Slovenia (history and current design)
Mitja Skudnik, Gal Kušar, 2024, druge monografije in druga zaključena dela

Ključne besede: national forest inventory, history, statistical design
Objavljeno v DiRROS: 20.05.2024; Ogledov: 221; Prenosov: 306
.pdf Celotno besedilo (7,52 MB)

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Harmonised statistics and maps of forest biomass and increment in Europe
Valerio Avitabile, Roberto Pilli, Mirco Migliavacca, Bogdan Grégory Henry E. Duveiller, Andrea Camia, Viorel Blujdea, Radim Adolt, Iciar Alberdi, Susana Barreiro, Susann Bender, Mitja Skudnik, 2024, izvirni znanstveni članek

Povzetek: Forest biomass is an essential resource in relation to the green transition and its assessment is key for the sustainable management of forest resources. Here, we present a forest biomass dataset for Europe based on the best available inventory and satellite data, with a higher level of harmonisation and spatial resolution than other existing data. This database provides statistics and maps of the forest area, biomass stock and their share available for wood supply in the year 2020, and statistics on gross and net volume increment in 2010–2020, for 38 European countries. The statistics of most countries are available at a sub-national scale and are derived from National Forest Inventory data, harmonised using common reference definitions and estimation methodology, and updated to a common year using a modelling approach. For those counties without harmonised statistics, data were derived from the State of Europe’s Forest 2020 Report at the national scale. The maps are coherent with the statistics and depict the spatial distribution of the forest variables at 100 m resolution.
Ključne besede: harmonised statistics, harmonised maps, forest biomass, gorest increment, Europe
Objavljeno v DiRROS: 11.03.2024; Ogledov: 299; Prenosov: 142
.pdf Celotno besedilo (1,81 MB)
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The LANDSUPPORT geospatial decision support system (S-DSS) vision : operational tools to implement sustainability policies in land planning and management
Fabio Terribile, Marco Acutis, Antonella Agrillo, Erlisiana Anzalone, Sayed Azam-Ali, Marialaura Bancheri, Peter Baumann, Barbara Birli, Antonello Bonfante, Marco Botta, Mitja Ferlan, Jernej Jevšenak, Primož Simončič, Mitja Skudnik, 2023, izvirni znanstveni članek

Povzetek: Nowadays, there is contrasting evidence between the ongoing continuing and widespread environmental degradation and the many means to implement environmental sustainability actions starting from good policies (e.g. EU New Green Deal, CAP), powerful technologies (e.g. new satellites, drones, IoT sensors), large databases and large stakeholder engagement (e.g. EIP-AGRI, living labs). Here, we argue that to tackle the above contrasting issues dealing with land degradation, it is very much required to develop and use friendly and freely available web-based operational tools to support both the implementation of environmental and agriculture policies and enable to take positive environmental sustainability actions by all stakeholders. Our solution is the S-DSS LANDSUPPORT platform, consisting of a free web-based smart Geospatial CyberInfrastructure containing 15 macro-tools (and more than 100 elementary tools), co-designed with different types of stakeholders and their different needs, dealing with sustainability in agriculture, forestry and spatial planning. LANDSUPPORT condenses many features into one system, the main ones of which were (i) Web-GIS facilities, connection with (ii) satellite data, (iii) Earth Critical Zone data and (iv) climate datasets including climate change and weather forecast data, (v) data cube technology enabling us to read/write when dealing with very large datasets (e.g. daily climatic data obtained in real time for any region in Europe), (vi) a large set of static and dynamic modelling engines (e.g. crop growth, water balance, rural integrity, etc.) allowing uncertainty analysis and what if modelling and (vii) HPC (both CPU and GPU) to run simulation modelling ‘on-the-fly’ in real time. Two case studies (a third case is reported in the Supplementary materials), with their results and stats, covering different regions and spatial extents and using three distinct operational tools all connected to lower land degradation processes (Crop growth, Machine Learning Forest Simulator and GeOC), are featured in this paper to highlight the platform's functioning. Landsupport is used by a large community of stakeholders and will remain operational, open and free long after the project ends. This position is rooted in the evidence showing that we need to leave these tools as open as possible and engage as much as possible with a large community of users to protect soils and land.
Ključne besede: land degradation, land management, soil, spatial decision support system, sustainability
Objavljeno v DiRROS: 13.11.2023; Ogledov: 518; Prenosov: 252
.pdf Celotno besedilo (4,42 MB)
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Razvoj in uporaba simulatorja razvoja gozdov MLFS za analizo bodočih stanj slovenskih gozdov
Jernej Jevšenak, Domen Arnič, Luka Krajnc, Peter Prislan, Mitja Skudnik, 2023, objavljeni povzetek znanstvenega prispevka na konferenci

Ključne besede: simulator razvoja gozdov, napovedovanje stanja gozda
Objavljeno v DiRROS: 04.10.2023; Ogledov: 481; Prenosov: 140
.pdf Celotno besedilo (102,17 KB)

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