1. High-resolution Pan-European forest structure maps : an integration of earth observation and national forest inventory dataJukka Miettinen, Johannes Breidenbach, Patricia Adame, Radim Adolt, Iciar Alberdi, Oleg Antropov, Ólafur Arnarsson, Rasmus Astrup, Ambros Berger, Jón Bogason, Luka Krajnc, Mitja Skudnik, 2024, zaključena znanstvena zbirka raziskovalnih podatkov Povzetek: We developed Pan-European maps of timber volume (V), above-ground biomass (AGB), and deciduous-coniferous proportion (DCP) with a pixel size of 10 x 10 m2 for the reference year 2020 using a combination of a Sentinel 2 mosaic, Copernicus layers, and National Forest Inventory (NFI) data. For mapping, we used the k-Nearest Neighbor (kNN, k=7) approach with a harmonized database of species-specific V and AGB from 14 NFIs across Europe. This database encompasses approximately 151,000 sample plots, which were intersected with the above-mentioned Earth observation data. The maps cover 40 European countries, forming a continuous coverage of the western part of the European continent. A sample of 1/3 of NFI plots was left out for validation, whereas 2/3 of the plots were used for mapping. Maps were created independently for 13 multi-country processing areas. Root-mean-squared-errors (RMSEs) for AGB ranged from 53 % in the Nordic processing area to 73 % the South-Eastern area. The created maps are the first of their kind as they are utilizing a huge amount of harmonized NFI observations and consistent remote sensing data for high-resolution forest attribute mapping. While the published maps can be useful for visualization and other purposes, they are primarily meant as auxiliary information in model-assisted estimation where model-related biases can be mitigated, and field-based estimates improved. Therefore, additional calibration procedures were not applied, and especially high V and AGB values tend to be underestimated. Summarizing map values (pixel counting) over large regions such as countries or whole Europe will consequently result in biased estimates that need to be interpreted with care.
Ključne besede: European forest monitoring system, remote sensing, in-situ data, forest attribute maps
Objavljeno v DiRROS: 17.06.2025; Ogledov: 163; Prenosov: 39
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2. Pan-European forest maps produced with a combination of earth observation data and national forest inventory plotsJukka Miettinen, Johannes Breidenbach, Patricia Adame, Radim Adolt, Iciar Alberdi, Oleg Antropov, Ólafur Arnarsson, Rasmus Astrup, Ambros Berger, Jón Bogason, Luka Krajnc, Mitja Skudnik, 2025, drugi znanstveni članki Povzetek: The dataset includes Pan-European maps of timber volume (Vol), above-ground biomass (AGB), and deciduous-coniferous proportion (DCP) with a pixel size of 10×10 m for the reference year 2020. In addition, a measure of prediction uncertainty is provided for each pixel. The maps have been created using a combination of a Sentinel-2 mosaic, Copernicus layers, and National Forest Inventory (NFI) data. The mapping was done with the k-Nearest Neighbour (kNN, k=7) approach with harmonized data of species-specific Vol and AGB from 14 NFIs consisting of approximately 151 000 field plots across Europe. The maps cover 40 European countries, forming a continuous coverage of the western part of the European continent. A sample of 1/3 of NFI plots was left out for validation, whereas 2/3 of the plots were used for mapping. Maps were created independently for 13 multi-country processing areas. Root-mean-squared-errors (RMSEs) for AGB ranged from 53 % in the Nordic processing area to 73 % in the South-Eastern area. The maps are on average nearly unbiased on European level (1.0 % of the mean AGB), but show significant overestimation for small biomass values (53 % bias for forests with AGB less than 150 t/ha) and underestimation for high biomass values (-55 % bias for forests with AGB higher than 500 t/ha). The created maps are the first of their kind as they are utilizing a large number of harmonized NFI plot observations and consistent remote sensing data for high-resolution forest attribute mapping. While the published maps can be useful for visualization and other purposes, they are primarily meant as auxiliary information in model-assisted estimation where model-related biases can be mitigated, and field-based estimates improved. Therefore, additional calibration procedures were not applied, and especially high Vol and AGB values tend to be underestimated. We therefore discourage from summarizing map values (pixel counting) over areas in interest, as this may inadvertently result in biased estimates.
Ključne besede: European forest monitoring system, remote sensing, in-situ data, forest attribute maps
Objavljeno v DiRROS: 17.06.2025; Ogledov: 160; Prenosov: 86
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3. Evaluation of height changes in uneven-aged spruce–fir–beech forest with freely available nationwide lidar and aerial photogrammetry dataAnže Martin Pintar, Mitja Skudnik, 2025, izvirni znanstveni članek Povzetek: Tree height and vertical forest structure are important attributes in forestry, but their traditional measurement or assessment in the field is expensive, time-consuming, and often inaccurate. One of the main advantages of using remote sensing data to estimate vertical forest structure is the ability to obtain accurate data for larger areas in a more time- and cost-efficient manner. Temporal changes are also important for estimating and analysing tree heights, and in many countries, national airborne laser scanning (ALS) surveys have been conducted either only once or at specific, longer intervals, whereas aerial surveys are more often arranged in cycles with shorter intervals. In this study, we reviewed all freely available national airborne remote sensing data describing three-dimensional forest structures in Slovenia and compared them with traditional field measurements in an area dominated by uneven-aged forests. The comparison of ALS and digital aerial photogrammetry (DAP) data revealed that freely available national ALS data provide better estimates of dominant forest heights, vertical structural diversity, and their changes compared to cyclic DAP data, but they are still useful due to their temporally dense data. Up-to-date data are very important for forest management and the study of forest resilience and resistance to disturbance. Based on field measurements (2013 and 2023) and all remote sensing data, dominant and maximum heights are statistically significantly higher in uneven-aged forests than in mature, even-aged forests. Canopy height diversity (CHD) information, derived from lidar ALS and DAP data, has also proven to be suitable for distinguishing between even-aged and uneven-aged forests. The CHDALS 2023 was 1.64, and the CHDCAS 2022 was 1.38 in uneven-aged stands, which were statistically significantly higher than in even-aged forest stands.
Ključne besede: uneven-aged forest, freely available national airborne remote sensing data, lidar, aerial photography, dominant height, canopy height diversity, periodic annual increment
Objavljeno v DiRROS: 09.01.2025; Ogledov: 334; Prenosov: 219
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4. Predicting GPP in Carpathian Beech Forests: Uncovering spatial and temporal patterns using a regression model with climatic, topographic and additional featuresAzim Missarov, Jakub Kašpar, Kamil Král, O. Brovkina, M. Švik, 2024, objavljeni povzetek znanstvenega prispevka na konferenci Ključne besede: gross primary product, regression model, remote sensing, temperature, precipitation, digital elevation model
Objavljeno v DiRROS: 03.09.2024; Ogledov: 1149; Prenosov: 182
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5. Phenological trends of European beech stands along the Carpathian arc : a 20-year MODIS based analysisM. Švik, O. Brovkina, Tatjana Veljanovski, Matjaž Čater, 2024, objavljeni povzetek znanstvenega prispevka na konferenci Ključne besede: European beech, phenology, remote sensing, time series, vegetation index
Objavljeno v DiRROS: 03.09.2024; Ogledov: 683; Prenosov: 177
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7. PETRI-MED: Advancing satellite-based monitoring for microbial plankton biodiversity in the Mediterranean SeaTinkara Tinta, Janja Francé, Katja Klun, Martin Vodopivec, Neža Orel, Patricija Mozetič, Vesna Flander-Putrle, 2024, objavljeni povzetek znanstvenega prispevka na konferenci Ključne besede: biodiversity, remote sensing, oceanography
Objavljeno v DiRROS: 09.07.2024; Ogledov: 806; Prenosov: 337
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8. Effect of belowground deployment of entomopathogenic fungus Metarhizium brunneum on strawberry plants and aboveground pestsJaka Razinger, Darinka Koron, Špela Modic, Eva Praprotnik, Primož Žigon, Uroš Žibrat, Matej Knapič, Janez Lapajne, Andrej Vončina, Lovro Sinkovič, Nika Cvelbar Weber, 2023, drugi znanstveni članki Ključne besede: biological control, integrated pest management, agricultural entomology, entomopathogenic fungi, hyperspectral imaging, remote sensing, plant-microbe-pest interaction, plant physiology, rhizosphere competence
Objavljeno v DiRROS: 27.07.2023; Ogledov: 1062; Prenosov: 0 |
9. Land surface phenology from satellite data : technical reportUrška Kanjir, Ana Potočnik Buhvald, Mitja Skudnik, Liza Stančič, Krištof Oštir, 2022, elaborat, predštudija, študija Ključne besede: phenology, forest, remote sensing, MODIS, Sentinel-2, vegetation indices
Objavljeno v DiRROS: 29.12.2022; Ogledov: 1347; Prenosov: 374
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10. Retrieval of vertical mass concentration distributionsLonglong Wang, Samo Stanič, Klemen Bergant, William Eichinger, Griša Močnik, Luka Drinovec, Janja Vaupotič, Miloš Miler, Mateja Gosar, Asta Gregorič, 2019, izvirni znanstveni članek Povzetek: Aerosol vertical profiles are valuable inputs for the evaluation of aerosol transport models, in order to improve the understanding of aerosol pollution ventilation processes which drive the dispersion of pollutants in mountainous regions. With the aim of providing high-accuracy vertical distributions of particle mass concentration for the study of aerosol dispersion in small-scale valleys, vertical profiles of aerosol mass concentration for aerosols from different sources (including Saharan dust and local biomass burning events) were investigated over the Vipava valley, Slovenia, a representative hot-spot for complex mixtures of different aerosol types of both anthropogenic and natural origin. The analysis was based on datasets taken between 1–30 April 2016. In-situ measurements of aerosol size, absorption, and mass concentration were combined with lidar remote sensing, where vertical profiles of aerosol concentration were retrieved. Aerosol samples were characterized by SEM-EDX, to obtain aerosol morphology and chemical composition. Two cases with expected dominant presence of different specific aerosol types (mineral dust and biomass-burning aerosols) show significantly different aerosol properties and distributions within the valley. In the mineral dust case, we observed a decrease of the elevated aerosol layer height and subsequent spreading of mineral dust within the valley, while in the biomass-burning case we observed the lifting of aerosols above the planetary boundary layer (PBL). All uncertainties of size and assumed optical properties, combined, amount to the total uncertainty of aerosol mass concentrations below 30% within the valley. We have also identified the most indicative in-situ parameters for identification of aerosol type.
Ključne besede: valley air pollution, aerosol vertical distributions, lidar remote sensing, in-situ measurements, aerosol identification
Objavljeno v DiRROS: 03.03.2022; Ogledov: 1681; Prenosov: 606
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