Impact Factor papers

2024

Bernabé-Poveda M.-Á., Gołębiowska I., Narváez-Benalcázar R., León-Pazmiño M.-F., Gonzalez-Campos M.-E. & Çöltekin A. (2024) Sunshine around the middle Earth: relief inversion less prevalent in satellite images in the near-south of the Equator than on the Equator, International Journal of Digital Earth, 17(1), DOI: 10.1080/17538947.2024.2304078 (IF 5.1, 100 MEiN points).
Karsznia I., Adolf A., Leyk S., Weibel R. 2024. Using machine learning and data enrichment in the selection of roads for small-scale maps. Cartography and Geographic Information Science, 51(1): 60-78. DOI: 10.1080/15230406.2023.2283075. (IF 2.5, 100 points MNiSW). Article belongs to the Special Issue: Machine learning in cartography.
Kooistra, L., Berger, K., Brede, B., Graf, L. V., Aasen, H., Roujean, J.-L., Machwitz, M., Schlerf, M., Atzberger, C., Prikaziuk, E., Ganeva, D., Tomelleri, E., Croft, H., Reyes Muñoz, P., Garcia Millan, V., Darvishzadeh, R., Koren, G., Herrmann, I., Rozenstein, O., Belda, S., Rautiainen, M., Rune Karlsen, S., Figueira Silva, C., Cerasoli, S., Pierre, J., Tanır Kayıkçı, E., Halabuk, A., Tunc Gormus, E., Fluit, F., Cai, Z., Kycko, M., Udelhoven, T., and Verrelst, J., 2024, Reviews and syntheses: Remotely sensed optical time series for monitoring vegetation productivity, Biogeosciences, 21, 473–511, DOI:10.5194/bg-21-473-2024 (IF 4.9, 140 MEiN points).
Sabat-Tomala A., Raczko E., Zagajewski B., 2024. Airborne Hyperspectral Images and Machine Learning Algorithms for the Identification of Lupine Invasive Species in Natura 2000 Meadows. Remote Sensing, 16(3), 580. DOI: 10.3390/rs16030580 (IF 5.0, 100 MNiSW points).
Staszel J., Lupa M., Adamek K., Wilkosz M., Marcinkowska-Ochtyra A., Ochtyra A., 2024, Spatial Insights into Drought Severity: Multi-Index Assessment in Małopolska, Poland, via Satellite Observations,. Remote Sensing, 16(5), 836. DOI: 10.3390/rs16050836 (IF 5.0, 100 MNiSW points).
Zagajewski B., Kluczek M., Zdunek K.B., Holland D., 2024. Sentinel-2 Versus PlanetScope Images for Goldenrod Invasive Plant Species Mapping. Remote Sensing, 16(4), 636. DOI: 10.3390/rs16040636 (IF 5.0, 100 MNiSW points).

2023

Adamek K., Lupa M., Leśniak A., Ryznar J., Ochtyra A., Marcinkowska-Ochtyra A., Wyczałek-Jagiełło M., 2023, Preliminary geological work, based on remote sensing analysis, using artificially enhanced satellite data, Miscellanea Geographica – Regional Studies on Development, 27(4), doi:10.2478/mgrsd-2023-0018 (IF 0.8, 100 MEiN points)
Dąbski, M.; Badura, I.; Kycko, M.; Grabarczyk, A.; Matlakowska, R.; Otto, J.-C. The Development of Limestone Weathering Rind in a Proglacial Environment of the Hallstätter Glacier. Minerals 2023, 13, 530. DOI:10.3390/min13040530 (IF 2.818, 100 MEiN points).
Gołębiowska I., Opach T., Çöltekin A., Korycka-Skorupa J. Rød J.K., 2023. Legends of the dashboard: an empirical evaluation of split and joint layout designs for geovisual analytics interfaces, International Journal of Digital Earth, 16(1), 1395-1417, DOI: 10.1080/17538947.2023.2197262 (IF 4.606, 100 MEiN points);
Jarocińska A., Kopeć D., Niedzielko J., Wylazłowska J., Halladin-Dąbrowska A., Charyton J., Piernik A., Kamiński D., 2023. The utility of airborne hyperspectral and satellite multispectral images in identifying Natura 2000 non-forest habitats for conservation purposes. Scientific Reports 13, 4549. DOI: 10.1038/s41598-023-31705-6 (IF 4.996, 140 MEiN points);
Jarocińska A., Niedzielko J., Kopeć D., Wylazłowska J., Omelianska B., Charyton J., 2023. Testing Textural Information Base on LiDAR and Hyperspectral Data for Mapping Wetland Vegetation: A Case Study of Warta River Mouth National Park (Poland). Remote Sensing, 15(12), 3055, DOI: 10.3390/rs15123055 (IF 5.349, 100 MEiN points);
Jarocińska, A.; Marcinkowska-Ochtyra, A.; Ochtyra, A., 2023. An Overview of the Special Issue “Remote Sensing Applications in Vegetation Classification”, Remote Sensing, 15, 2278. DOI:10.3390/rs15092278.
Kluczek M., Zagajewski B., Zwijacz-Kozica T. 2023. Mountain Tree Species Mapping Using Sentinel-2, PlanetScope, and Airborne HySpex Hyperspectral Imagery. Remote Sensing, 15, 844, DOI: 10.3390/rs15030844 (IF 5.349, 100 MEiN points);
Krówczyńska M., Wilk E., 2023. Hazardous waste in the Anthropocene: The comparative methods for asbestos roofs detection to assess the environmental risk. The Anthropocene Review 11(2), https://doi.org/10.1177/20530196231207981 (IF 2.8, 200 MEiN points).
Marcinkowska-Ochtyra A., Ochtyra A., Raczko E., Kopeć D., 2023, Natura 2000 Grassland Habitats Mapping Based on Spectro-Temporal Dimension of Sentinel-2 Images with Machine Learning, Remote Sensing, 15(5), 1388, DOI:10.3390/rs15051388 (IF 5.349, 100 MEiN points).
Zakrzewska, A., Kopeć, D., Ochtyra, A., Potůčková, M., 2023, Can Canopy Temperature Acquired From An Airborne Level be a Tree Health Indicator in an Urban Environment?. Urban Forestry & Urban Greening, 127807 (IF 4.537, 100 MEiN points).
Zmarz A., Karlsen S.R., Kycko M., Korczak-Abshire M., Gołębiowska I., Karsznia I., Chwedorzewska K., BVLOS UAV missions for vegetation mapping in maritime Antarctic. Front. Environ. Sci. 2023, 11:1154115. DOI: 10.3389/fenvs.2023.1154115 (IF 5.411, 100 MEiN points).

2022

Berger K., Machwitz M., Kycko M., Kefauver S.C., Van Wittenberghe S., Gerhards M., Verrelst J., Atzberger C, van der Tol C., Damm A., Rascher U., Herrmann I., Sobejano Paz V., Fahrner S., Pieruschka R., Prikaziuk E., Buchaillot M.L., Halabuk A., Celesti M., Koren G., Tunc Gormus E., Rossini M., Foerster M., Siegmann B., Abdelbaki A., Tagliabue G., Hank T., Darvishzadeh R., Aasen H., Garcia M., Pôças I., Bandopadhyay S., Sulis M., Tomelleri E., Rozenstein O., Filchev L., Stancile G., Schlerf M., 2022. Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review, Remote Sensing of Environment, 280, 2022, 113198, DOI:10.1016/j.rse.2022.113198. (IF 13.85, 200 MEiN points);
Deslatte A., Szmigiel-Rawska K., Tavares A., Ślawska J., Karsznia I., Lukomska J. 2022. Land Use Institutions and Social-Ecological Systems: A Spatial Analysis of Local Landscape Changes in Poland. Land Use Policy. Volume 114, March 2022, 105937, DOI:10.1016/j.landusepol.2021.105937 (IF 5.398, 140 MEiN points);
Golebiowska, I., Coltekin, A., 2022. Rainbow Dash: Intuitiveness, interpretability and memorability of the rainbow color scheme in visualization. IEEE Transactions on Visualization and Computer Graphics, 28(7), 2722-2733, DOI: 10.1109/TVCG.2020.3035823 (IF: 4.558, 140 points MEiN);
Golebiowska, I., Coltekin, A., 2022. What’s wrong with the rainbow? An interdisciplinary review of empirical evidence for and against the rainbow color scheme in visualizations. ISPRS Journal of Photogrammetry and Remote Sensing. 194(12): 195-208. DOI: 10.1016/j.isprsjprs.2022.10.002 (IF 11.774, 200 points MEiN);
Jarocińska A., Kopeć D., Kycko M., Piórkowski H., Błońska A. 2022. Hyperspectral vs. Multispectral data: Comparison of the spectral differentiation capabilities of Natura 2000 non-forest habitats. ISPRS Journal of Photogrammetry and Remote Sensing 184(6):148-164. DOI: 10.1016/j.isprsjprs.2021.12.010 (IF 8.979, 200 MEiN points);
Karsznia I., Wereszczyńska K., Weibel R., 2022. Make It Simple: Effective Road Selection for Small-Scale Map Design Using Decision-Tree-Based Models. ISPRS Int. J. Geo-Inf. 11(8), 457. DOI: 10.3390/ijgi11080457 (IF 3.099, 70 MEiN points);
Kluczek M., Zagajewski B., Kycko M., 2022. Airborne HySpex Hyperspectral Versus Multitemporal Sentinel-2 Images for Mountain Plant Communities Mapping. Remote Sensing 14(5):1209. DOI:10.3390/rs14051209 (IF 5.349, 100 MEiN points);
Kycko M., Zagajewski B., Kluczek M., Tardà A., Pineda L., Palà V., Corbera J., 2022. Sentinel-2 and AISA Airborne Hyperspectral Images for Mediterranean Shrubland Mapping in Catalonia. Remote Sensing, 14(21), 5531. DOI:10.3390/rs14215531 (IF 5.349, 100 MEiN points);
Raczko, E.; Krówczyńska M, Wilk E., 2022. Asbestos roofing recognition by use of convolutional neural networks and high resolution imagery. Testing different scenarios. Building and Environment, 217. DOI: 10.1016/j.buildenv.2022.109092 (IF 6.456, 200 MEiN points);
Sabat-Tomala A., Raczko E., Zagajewski B., 2022. Mapping Invasive Plant Species with Hyperspectral Data Based on Iterative Accuracy Assessment Techniques. Remote Sensing, 14(01), 64. DOI: 10.3390/rs14010064 (IF 5.349, 100 MEiN points);

2021

Dabija A., Kluczek M., Zagajewski B., Raczko E., Kycko M., Al-Sulttani A.H., Tardà A., Pineda L., Corbera J., 2021. Comparison of Support Vector Machines and Random Forests for Corine Land Cover Mapping. Remote Sensing, 13(04), 777, DOI: 10.3390/rs13040777 (IF 5.349, 100 MEiN points);
Jarocińska A., Kopeć D., Tokarska-Guzik B., Raczko E., 2021. Intra-Annual Variabilities of Rubus caesius L. Discrimination on Hyperspectral and LiDAR Data. Remote Sensing, 13, 107, DOI: 10.3390/rs13010107 (IF 4.509, 100 MEiN points);
Karsznia I., Gołębiowska I.M., Korycka-Skorupa J., Nowacki T., 2021. Searching for an Optimal Hexagonal Shaped Enumeration Unit Size for Effective Spatial Pattern Recognition in Choropleth Maps. ISPRS International Journal of Geo-Information 10(9), 576; DOI: 10.3390/ijgi10090576 (IF 2.899, 70 points MEiN);
Kreczmer K., Dąbski M and Zmarz A., 2021. Terrestrial Signature of a Recently-Tidewater Glacier and Adjacent Periglaciation, Windy Glacier (South Shetland Islands, Antarctic). Frontiers in Earth Science 9:671985. DOI: 10.3389/feart.2021.671985 (IF 2.689, 100 MEiN points);
Lisiewicz M., Karsznia I., 2021.Verifying and Exploring Settlement Selection Rules and Variables for Small‐Scale Maps Using Decision Tree‐Based Models. Geographical Analysis 53(3) pp. 560-587, DOI:10.1111/gean.12246 (IF 1.955, 100 points MNiSW).
Migas-Mazur R., Kycko M., Zwijacz-Kozica T., Zagajewski B., 2021. Assessment of Sentinel-2 Images, Support Vector Machines and Change Detection Algorithms for Bark Beetle Outbreaks Mapping in the Tatra Mountains. Remote Sensing, 13(16), 3314. DOI: 10.3390/rs13163314 (IF 5.349, 100 MEiN points).
Samulowska M., Chmielewski S., Raczko E., Lupa M., Myszkowska D., Zagajewski B., 2021. Crowdsourcing without Data Bias: Building a Quality Assurance System for Air Pollution Symptom Mapping. ISPRS International Journal Geo-Information, 10(2), 46, DOI: 10.3390/ijgi10020046 (IF 3.099, 70 MEiN points).
Słomska-Przech K., Gołębiowska I., 2021. Do Different Map Types Support Map Reading Equally? Comparing Choropleth, Graduated Symbols, and Isoline Maps for Map Use Tasks, ISPRS International Journal of Geo-Information 10(2), 69; DOI: 10.3390/ijgi10020069 (IF 2.239, 70 points MEiN).
Słomska-Przech K., Panecki T., Pokojski W., 2021. Heat Maps: Perfect Maps for Quick Reading? Comparing Usability of Heat Maps with Different Levels of Generalization. ISPRS International Journal of Geo-Information 10(8), 562; DOI: 10.3390/ijgi10080562IF (2.899, 70 points MEiN).
Szporak-Wasilewska S., Piórkowski H., Ciężkowski W., Jarzombkowski F., Sławik Ł., Kopeć D. 2021. Mapping Alkaline Fens, Transition Mires and Quaking Bogs Using Airborne Hyperspectral and Laser Scanning Data. Remote Sensing, 13(8), 1504, DOI: 10.3390/rs13081504 (IF 4.509, 100 MEiN points).
Wilk E., Krówczyńska M., 2021. Malignant mesothelioma and asbestos exposure in Europe. Evidence of spatial clustering. Geospatial Health 16(1), https://doi.org/10.4081/gh.2021.951 (IF 1.212, 70 MEiN points).
Zagajewski B., Kluczek M., Raczko E, Njegovec A., Dabija A., Kycko M., 2021. Comparison of Random Forest, Support Vector Machines, and Neural Networks for Post-Disaster Forest Species Mapping of the Krkonoše/Karkonosze Transboundary Biosphere Reserve. Remote Sensing 13(13), 2581. DOI: 10.3390/rs13132581 (IF 5.349, 100 MEiN points).

2020

Dąbski M., Zmarz A., Rodzewicz M., Korczak‐Abshire M., Karsznia I., Lach K.M., Rachlewicz G., Chwedorzewska K.J., 2020. Mapping Glacier Forelands Based on UAV BVLOS Operation in Antarctica. Remote Sensing 12(4). DOI: 10.3390/rs12040630 (IF: 4,118, 100 MNiSW points).
Golebiowska, I., Coltekin, A., 2020. Rainbow Dash: Intuitiveness, interpretability and memorability of the rainbow color scheme in visualization. IEEE Transactions on Visualization and Computer Graphics, DOI: 10.1109/TVCG.2020.3035823 (IF: 4.558, 140 points MNiSW).
Golebiowska I., Opach T., Rød J.K., 2020. Breaking the Eyes: How Do Users Get Started with a Coordinated and Multiple Views Geovisualization Tool? The Cartographic Journal, DOI: 10.1080/00087041.2019.1660513 (IF: 1.276, 70 points MNiSW).
Havelková L., Gołębiowska I.M., 2020. What Went Wrong for Bad Solvers during Thematic Map Analysis? Lessons Learned from an Eye-Tracking Study, ISPRS International Journal of Geo-Information, 9(1), 9; DOI: 10.3390/ijgi9010009 (IF 1.84, 70 points MNiSW).
Karsznia I, Przychodzeń M, Sielicka K., 2020. Methodology of the automatic generalization of buildings, road networks, forests and surface waters: a case study based on the Topographic Objects Database in Poland, Geocarto International, 35(7): 735-758; DOI: 10.1080/10106049.2018.1533591 (IF 2.365, 70 MNiSW points).
Karsznia I., Sielicka K., 2020. When Traditional Selection Fails: How to Improve Settlement Selection for Small-Scale Maps Using Machine Learning. ISPRS International Journal of Geo-Information 9(4), 230; DOI: 10.3390/ijgi9040230 (IF 1.84, 70 points MNiSW). Article belongs to the Special Issue Map Generalization.
Kopeć D., Sabat-Tomala A., Michalska-Hejduk D., Jarocińska A., Niedzielko J. 2020. Application of airborne hyperspectral data for mapping of invasive alien Spiraea tomentosa L.: a serious threat to peat bog plant communities, Wetlands Ecology and Management, 28: 357–373, DOI: 10.1007/s11273-020-09719-y (IF 1.84, 70 points MNiSW).
Kopeć D., Sławik Ł., 2020. How to effectively use long-term remotely sensed data to analyze the process of tree and shrub encroachment into open protected wetlands. Applied Geography, 125, 102345, DOI: 10.1016/j.apgeog.2020.102345 (IF 3.508, 100 MNiSW points).
Korycka-Skorupa J., Gołębiowska I., 2020. Numbers on Thematic Maps: Helpful Simplicity or Too Raw to Be Useful for Map Reading? ISPRS International Journal of Geo-Information 9(7), 415; DOI: 10.3390/ijgi9040230 (IF 2.239, 70 points MNiSW).
Krówczyńska M., Raczko E., Staniszewska N., Wilk E., 2020. Asbestos–Cement Roofing Identification Using Remote Sensing and Convolutional Neural Networks (CNNs). Remote Sensing 12(3), 408, https://doi.org/10.3390/rs12030408 (IF 4.118, 100 MNiSW points).
Mantey D., Pokojski W., 2020. New Indicators of Spatial Chaos in the Context of the Need for Retrofitting Suburbs. Land 9 (8). https://doi.org/10.3390/land9080276 (IF: 2,429, 70 MNiSW points).
Ochtyra A., 2020, Forest Disturbances in Polish Tatra Mountains for 1985-2016 in Relation to Topography, Stand Features, and Protection Zone, Forests, 2020, 11, 579; DOI: 10.3390/f11050579 (IF 2.116, 100 MNiSW points).
Ochtyra A., Marcinkowska-Ochtyra A., Raczko E., 2020, Threshold- and trend-based vegetation change monitoring algorithm based on the inter-annual multi-temporal normalized difference moisture index series: A case study of the Tatra Mountains, Remote Sensing of Environment, 249, 2020, 112026; DOI:10.1016/j.rse.2020.112026 (IF 9.085, 200 MNiSW points).
Osada E., Karsznia K., Karsznia I., 2020. Georeferenced measurements of building objects with their simultaneous shape detection. Survey Review 52(370) pp. 24-30. DOI: 10.1080/00396265.2018.1511033 (IF: 1,442, 70 MNiSW points).
Rotnicka J.,Dłużewski M.,Dąbski M.,Rodzewicz M.,Włodarski W.,Zmarz A., 2020 Accuracy of the UAV-Based DEM of Beach–Foredune Topography in Relation to Selected Morphometric Variables, Land Cover, and Multitemporal Sediment Budget. Estuaries and Coasts, doi.org/10.1007/s12237-020-00752-x (IF 2.686, 100 MNiSW points)
Sabat-Tomala A., Raczko E., Zagajewski B., 2020. Comparison of Support Vector Machine and Random Forest Algorithms for Invasive and Expansive Species Classification using Airborne Hyperspectral Data. Remote Sensing, 12(3), 516, doi: 10.3390/rs12030516 (IF 4.118, 100 MNiSW points).
Słomska-Przech K., Gołębiowska I.M., 2020, Falling into a digital world: how are paper and interactive maps used by digital natives and immigrants?, Geografie, 125(4), 447-472, doi: 10.37040/geografie2020125040447 (IF 0.957, 40 MNiSW points).
Wakulińska M., Marcinkowska-Ochtyra A., 2020, Multi-Temporal Sentinel-2 Data in Classification of Mountain Vegetation, Remote Sensing, 12(17), 2696, DOI:10.3390/rs12172696 (IF 4.509, 100 MNiSW points).
Waśniewski A., Hościło A., Zagajewski B., Moukétou-Tarazewicz D., 2020. Assessment of Sentinel-2 Satellite Images and Random Forest Classifier for Rainforest Mapping in Gabon. Forests, 11, 941, DOI: 10.3390/f11090941 (IF 2.221, 100 MNiSW points).

2019

Bartold M., Bochenek Z. Wpływ warunków meteorologicznych na początek okresu wegetacyjnego lasów liściastych północno−wschodniej Polski (Impact of meteorological conditions on the onset of the growing season over broadleaved forests in northeastern Poland). Sylwan 163(12), 997-1005, 2019. DOI: 10.26202/sylwan.2019044 (IF: 0,691, 40 MNiSW points).
Korczak-Abshire M., Zmarz A., Rodzewicz M., Kycko M., Karsznia I., Chwedorzewska K. J., 2019. Study of fauna population changes on Penguin Island and Turret Point Oasis (King George Island, Antarctica) using Unmanned Aerial Vehicle. Polar Biology, 42:217-224. DOI: 10.1007/s00300-018-2379-1 (IF: 2.002, 70 MNiSW points).
Krówczyńska M., Wilk E., 2019. Environmental and Occupational Exposure to Asbestos as a Result of Consumption and Use in Poland, International Journal of Environmental Research and Public Health, 16(14), 2611; DOI: 10.3390/ijerph16142611 (IF 2.468, 30 MNiSW points).
Kycko M., Romanowska E., Zagajewski B., 2019. Lead-Induced Changes in Fluorescence and Spectral Characteristics of Pea Leaves. Remote Sensing, 11(16), 1885. DOI: 10.3390/rs11161885 (IF 4.118, 100 MNiSW points).
Kycko, M., Zagajewski, B., Lavender, S., Dabija, A., 2019, In Situ Hyperspectral Remote Sensing for Monitoring of Alpine Trampled and Recultivated Species. Remote Sensing, 11, 1296, DOI: 10.3390/rs11111296 (IF 4.118, 100 MNiSW points).
Marcinkowska-Ochtyra A., Gryguc K., Ochtyra A., Kopeć D., Jarocińska A., Sławik Ł., 2019, Multitemporal Hyperspectral Data Fusion with Topographic Indices—Improving Classification of Natura 2000 Grassland Habitats, Remote Sensing, 11(19), 2019; DOI: 10.3390/rs11192264 (IF 4.118, 100 MNiSW points).
Opach T., Korycka-Skorupa J., Karsznia I., Nowacki T., Gołębiowska I., Rød J.K., 2019. Visual clutter reduction in zoomable proportional point symbol maps. Cartography and Geographic Information Science. 46(4): 347-367. DOI:10.1080/15230406.2018.1490202 (IF 1.785, 100 MNiSW points).
Osada E., Karsznia K., Karsznia I., 2019. Method of optimal fitting of the existing lower class levelling control networks to the modernized national higher class networks. Journal of Surveying Engineering 145(2), DOI: 10.1061/(ASCE)SU.1943-5428.0000273 (70 MNiSW points).
Sławik Ł., Niedzielko J., Kania A., Piórkowski H., Kopeć D., 2019. Multiple Flights or Single Flight Instrument Fusion of Hyperspectral and ALS Data? A Comparison of their Performance for Vegetation Mapping. Remote Senssing, 11(8), 970, DOI: 10.3390/rs11080970 (IF 4.118, 100 MNiSW points).
Wilk E., Krówczyńska M., Zagajewski B., 2019. Modelling the Spatial Distribution of Asbestos—Cement Products in Poland with the Use of the Random Forest Algorithm. Sustainability, 11(16), 4355, DOI: 10.3390/su11164355 (IF 2.592, 70 MNiSW points).

2018

Bjerke J.W., Elverland E., Jaakola L., Lund L., Zagajewski B., Bochenek Z., Kłos A., Tømmervik H. 2018. High tolerance of a high-arctic willow and graminoid to simulated ice encasement. Boreal Environment Research, 23: 329–338 (IF 1.256, 25 MNiSW points).
Bochenek Z., Ziółkowski D., Bartold M., Orłowska K., Ochtyra A., 2018. Monitoring forest biodiversity and the impact of climate on forest environment using high-resolution satellite images. European Journal of Remote Sensing, 51(1):166-181, DOI: 10.1080/22797254.2017.1414573 (IF 1.122, 15 MNiSW points).
Chmielewski Sz., Samulowska M., Lupa M., Lee D., Zagajewski B., 2018. Citizen Science and WebGIS for outdoor advertisement visual pollution assessment. Computers Environment and Urban Systems, 67(C): 97-109, DOI: 10.1016/j.compenvurbsys.2017.09.001 (IF 3.724, 35 MNiSW points).
Dabrowska-Zielinska K., Musial J., Malinska A., Budzynska M., Gurdak R., Kiryla W., Bartold M., Grzybowski P., 2018. Soil Moisture in the Biebrza Wetlands Retrieved from Sentinel-1 Imagery. Remote Sensing, 10(12): 1979, doi: 10.3390/rs10121979 (IF 3.406, 35 MNiSW points).
Karsznia I., Weibel R, 2018. Improving Settlement Selection for Small-scale Maps Using Data Enrichment and Machine Learning. Cartography and Geographic Information Science 45(2), pp. 111-127. DOI: 10.1080/15230406.2016.1274237 (IF 2.224, 30 MNiSW points).
Kłos A., Ziembik Z., Rajfur M., Dołhańczuk-Śródka A., Bochenek Z., Bjerke J.W., Tømmervik H., Zagajewski B., Ziółkowski D., Jerz D., Zielińska M., Krems P., Godyń P., Marciniak M., Świsłowski P., 2018. Using moss and lichens in biomonitoring of heavy-metal contamination of forest areas in southern and north-eastern Poland. Science of The Total Environment, 627: 438–449, DOI: 10.1016/j.scitotenv.2018.01.211 (IF 4.61, 40 MNiSW points).
Krówczyńska M., Wilk E., 2018. Asbestos Exposure and the Mesothelioma Incidence in Poland, International Journal of Environmental Research and Public Health, 15(8), 1741; DOI: 10.3390/ijerph15081741 (IF 2,145, 30 MNiSW points).
Krówczyńska M., Wilk E., 2018. Spatial analysis of the exposure to asbestos and health care in Poland 2004-2013. Geospatial Health, 13(2); DOI: 10.4081/gh.2018.689 (IF 1,212; 20 MNiSW points).
Krówczyńska M., Wilk E., Pabjanek P., Olędzka P., 2018. Pleural mesothelioma in Poland. Spatial analysis of malignant neoplasm prevalence in 1999-2013. Geospatial Health, 13(2); DOI:10.4081/gh.2018.667 (IF 1,212; 20 MNiSW points).
Kycko M., Zagajewski B., Lavender S., Romanowska E., Zwijacz-Kozica M., 2018. The Impact of Tourist Traffic on the Condition and Cell Structures of Alpine Swards. Remote Sensing, 10(2): 220, DOI: 10.3390/rs10020220 (IF 3.406, 35 MNiSW points).
Marcinkowska-Ochtyra A., Jarocińska A., Bzdęga K., Tokarska-Guzik B., 2018, Classification of Expansive Grassland Species in Different Growth Stages Based on Hyperspectral and LiDAR Data, Remote Sensing, 10(12), 2019; DOI: 10.3390/rs10122019 (IF 3.406, 35 MNiSW points).
Marcinkowska-Ochtyra A., Zagajewski B., Raczko E., Ochtyra A., Jarocińska A. 2018. Classification of High-Mountain Vegetation Communities within a Diverse Giant Mountains Ecosystem Using Airborne APEX Hyperspectral Imagery. Remote Sensing, 10(4): 570, DOI: 10.3390/rs10040570 (IF 3.406, 35 MNiSW points).
Nimbalkar P., Jarocinska A., Zagajewski B., 2018. Optimal Band Configuration for the Roof Surface Characterization Using Hyperspectral and LiDAR Imaging. Journal of Spectroscopy, vol. 2018, Article ID 6460518, 15 pages, DOI: 10.1155/2018/6460518 (IF 1.391, 15 MNiSW points).
Raczko E., Zagajewski B. 2018. Tree species classification of the UNESCO Man and the Biosphere Karkonoski National Park (Poland) using artificial neural networks and APEX hyperspectral images. Remote Senssing, 10(7), 1111, DOI: 10.3390/rs10071111 (IF 3.406, 35 MNiSW points).
Sabat-Tomala A., Jarocińska A.M., Zagajewski B., Magnuszewski A.S., Sławik Ł.M., Ochtyra A., Raczko E., Lechnio J.R., 2018. Application of HySpex hyperspectral images for verification of a two-dimensional hydrodynamic model. European Journal of Remote Sensing, 51(1): 637-649, DOI: 10.1080/22797254.2018.1470905 (IF 1.122, 20 MNiSW points).
Zagajewski B., Kycko M., Tømmervik H., Bochenek Z., Wojtuń B., Bjerke J.W., Kłos A., 2018. Feasibility of hyperspectral vegetation indices for the detection of chlorophyll concentration in three High Arctic plants: Salix polaris, Bistorta vivipara, and Dryas octopetala. Acta Societatis Botanicorum Poloniae: Polar terrestrial ecosystems: ecology, evolution, and biogeography, 87(4):3604, DOI: 10.5586/asbp.3604 (IF 0,876, 25 MNiSW points).
Zmarz A., Rodzewicz M., Dąbski M., Karsznia I., Korczak-Abshire M., Chwedorzewska K. J., 2018. Application of UAV BVLOS remote sensing data for multi-faceted analysis of Antarctic ecosystem , Remote Sensing of Environment, 217: 375-388, DOI: 10.1016/j.rse.2018.08.031 (IF 8.218, 50 MNiSW points).

2017

Cierniewski J., Ceglarek J., Karnieli A., Królewicz S., Kaźmierowski C., Zagajewski B., 2017. Predicting the diurnal blue-sky albedo of soils using their laboratory reflectance spectra and roughness indices. Journal of Quantitative Spectroscopy and Radiative Transfer, 200: 25-31, DOI: 10.1016/j.jqsrt.2017.05.033 (IF 2.60, 35 MNiSW points).
Dąbski M., Zmarz A., Pabjanek P., Korczak-Abshire M., Karsznia I., Chwedorzewska K., 2017. UAV-Based detection and spatial analyses of periglacial landforms on Demay Point (King George Island, South Shetland Islands, Antarctica), Geomorphology (published online) DOI: 10.1016/j.geomorph.2017.03.033 (IF 2.813, 35 MNiSW points).
Golebiowska I, Opach T., Rød J.K., 2017. For your eyes only? Evaluating a coordinated and multiple views tool with a map, a parallel coordinated plot and a table using an eye-tracking approach. International Journal of Geographical Information Science, 31(2): 237-252 (IF 2.065, 35 MNiSW points).
Kłos A., Ziembik Z., Rajfur M., Dołhańczuk-Śródka A., Bochenek Z., Bjerke J.W., Tømmervik H., Zagajewski B., Ziółkowski D., Jerz D., Zielińska M., Krems P., Godyń P., 2017. The origin of heavy metals and radionuclides accumulated in the soil and biota samples collected in Svalbard, near Longyearbyen. Ecological Chemistry and Engineering S, 24(2): 223-238, DOI: 10.1515/eces-2017-0015, (IF 0.70, 15 MNiSW points).
Kupková L., Červená L., Suchá R., Jakešová L., Zagajewski B., Březina St., Albrechtová J., 2017. Classification of Tundra Vegetation in the Krkonoše Mts. National Park Using APEX, AISA Dual and Sentinel-2A Data. European Journal of Remote Sensing, 50(1): 29-46, DOI: 10.1080/22797254.2017.1274573 (IF 1.122, 20 MNiSW points).
Kycko M., Zagajewski B., Zwijacz-Kozica M., Cierniewski J., Romanowska E., Orłowska K., Ochtyra A., Jarocińska A. 2017. Assessment of Hyperspectral Remote Sensing for Analyzing the Impact of Human Trampling on Alpine Swards. Mountain Research and Development, 37(1):66-74, DOI: 10.1659/MRD-JOURNAL-D-15-00050.1, (IF 1.216, 20 MNiSW points).
Marcinkowska-Ochtyra A., Zagajewski B., Ochtyra A., Jarocińska A., Wojtuń B., Rogass Ch., Mielke Ch., Lavender S., (2017). Subalpine and alpine vegetation classification based on hyperspectral APEX and simulated EnMAP images. International Journal of Remote Sensing, 38(7): 1839-1864, DOI: 10.1080/01431161.2016.1274447 (IF 1.782, 30 MNiSW points).
Mędrzycki P., Jarzyna I., Obidziński A., Tokarska-Guzik B., Sotek Z., Pabjanek P., Pytlarczyk A., Sachajdakiewicz I., 2017. Simple yet effective: Historical proximity variables improve the species distribution models for invasive giant hogweed (Heracleum mantegazzianum s.l.) in Poland. PLoS ONE 12(9): e0184677, DOI: 10.1371/journal.pone.0184677 (IF 2.806, 35 MNiSW points).
Raczko E., Zagajewski B., 2017. Comparison of Support Vector Machine, Random Forest and Neural Network Classifiers for Tree Species Classification on Airborne Hyperspectral APEX images. European Journal of Remote Sensing, 50(1): 144-154, DOI: 10.1080/22797254.2017.1299557, (IF 1.122, 20 MNiSW points).
Wilk E., Krówczyńska M., Pabjanek P., Mędrzycki P., 2017. Estimation of the amount of asbestos-cement roofing in Poland. Waste Management & Research, 35(5):491-499, DOI: 10.1177/0734242X16683271 (IF 1.338, 20 MNiSW points).
Witczuk J., Pagacz S., Zmarz A., Cypel M., 2017. Exploring the feasibility of unmanned aerial vehicles and thermal imaging for ungulate surveys in forests – preliminary results, International Journal of Remote Sensing (published online) DOI: https://doi.org/10.1080/01431161.2017.1390621 (IF 1.724, 30 MNiSW)
Zagajewski B., Tømmervik H., Bjerke J.W., Raczko E., Bochenek Z., Kłos A., Jarocińska A., Lavender S., Ziółkowski D., 2017. Intraspecific Differences in Spectral Reflectance Curves as Indicators of Reduced Vitality in High-Arctic Plants. Remote Sensing, 9(12), 1289, DOI: https://doi.org/10.3390/rs9121289 (IF 3.406, 35 MNiSW points).
Znój A., Chwedorzewska K.J., Androsiuk P., Cuba-Diaz M., Giełwanowska I., Koc J., Korczak-Abshire M., Grzesiak J., Zmarz A., 2017. Rapid environmental changes in the western Antarctic Peninsula region due to climate change and human activity. Applied Ecology and Environmental Research, DOI: http://dx.doi.org/10.15666/aeer/1504_525539 (IF 0.500, 15 pkt. MNiSW).

2016

Bartold M., 2016. Analiza porównawcza wartości wskaźnika wegetacji obszarów leśnych w Polsce na podstawie wieloletnich obserwacji satelitarnych NOAA AVHRR i SPOT VEGETATION (Cross-Comparison of vegetation index time series derived from NOAA AVHRR and SPOT VEGETATION satellite observations to identify forest cover change in Poland). Sylwan 160 (2): 153-161 (IF 0.410, 15 MNiSW points).
Chilinski M.T., Markowicz K.M., Markowicz J., 2016. Observation of vertical variability of black carbon concentration in lower troposphere on campaigns in Poland. Atmospheric Environment, 137: 155–170 (IF 3.281, 35 MNiSW points).
Chiliński M.T., Markowicz K.M., Zawadzka O., Stachlewska I.S., Kumala W., Petelski T., Makuch P., Zagajewski B., Modelling and observation of mineral dust optical properties over Central Europe – case study. Acta Geophysica 64(6): 2550-2590, DOI: 10.1515/acgeo-2016-0069 (IF 1.068, 20 MNiSW points).
Korczak-Abshire, M., A. Kidawa, A. Zmarz, R. Storvold, S.R. Karlsen, M. Rodzewicz, K. Chwedorzewska and A. Znój. 2016. Preliminary study on nesting Adélie penguins disturbance by unmanned aerial vehicles. CCAMLR Science, 23: 1–14. https://www.ccamlr.org/node/92888 (IF 1.717, 25 MNiSW points)
Kycko M., Stereńczak K., Bałazy R., 2016. Detekcja posuszu kornikowego z wykorzystaniem zobrazowań RapidEye na przykładzie drzewostanów Sudetów i Beskidów (Detection of bark beetle infected trees with BlackBridge image on the example of the Sudety and the Beskidy mountains). Sylwan 160 (9):707-719, (IF 0.410, 15 MNiSW points).
Losiak A., Golebiowska I., Ferrière L., Wojciechowski J., Huber M., Koeberl Ch., 2016, WIP: a Web-based program for Indexing Planar features in quartz grains and its usage, METEORITICS & PLANETARY SCIENCE, 51(4): 647-662 (IF 3.104, 30 MNiSW points).
Nimbalkar P., Tripathi N.K., 2016. Space-time epidemiology and effect of meteorologi cal parameters on influenza-like illness in Phitsanulok, a northern province in Thailand. Geospatial Health, 11(3): 274-282, DOI: http://dx.doi.org/10.4081/gh.2016.447 (IF 1.093, 25 MNiSW points).
Ochtyra A., Zagajewski B., Kozłowska A., Marcinkowska-Ochtyra A., Jarocińska A., 2016. Ocena kondycji drzewostanów Tatrzańskiego Parku Narodowego za pomocą metody drzewa decyzyjnego oraz wielospektralnych obrazów satelitarnych Landsat 5 TM (Assessment of the Tatra National Park forests condition using decision tree method and multispectral Landsat TM satellite images). Sylwan 160(3): 256-264, (IF 0.410, 15 MNiSW points).

2015

Gołębiowska I., 2015, Legend Layouts for Thematic Maps: a Case Study Integrating Usability Metrics with Think Aloud Method, „Cartographic Journal”, Vol. 52, No 1, pp. 28-40, DOI: 10.1179/1743277413Y.0000000045 (IF 0.569, 15 MNiSW points).
Gutry-Korycka M., Gołębiowska I., 2015, Hydrological alteration of an ice-marginal valley and its influence on the extent of historical floods, Hydrological Sciences Journal – Journal des Sciences Hydrologiques, Vol. 60, No 3, pp. 482-497, DOI: http://dx.doi.org/10.1080/02626667.2014.885652 (IF 2.182, 25 MNiSW points).
Kłos A., Bochenek Z., Bjerke J.W., Zagajewski B., Ziółkowski D., Ziembik Z., Rajfur M., Dołhańczuk-Śródka A., Tømmervik H., Krems P., Jerz D., Zielińska M., 2015. The Use of mosses in biomonitoring of selected areas in Poland and Spitsbergen in the years from 1975 to 2014. Ecological Chemistry and Engineering S; 22(2): 201-218 (DOI: 10.1515/eces-2015-0011, IF: 0.553, 15 MNiSW points).
Raczko E., Zagajewski B., Ochtyra A., Jarocińska A., Marcinkowska-Ochtyra A., Dobrowolski M. 2015 . Określenie składu gatunkowego lasów Góry Chojnik (Karkonoski Park Narodowy) z wykorzystaniem lotniczych danych hiperspektralnych APEX [Forest species identification of Mount Chojnik (Karkonoski National Park) using airborne hyperspectal APEX data]. Sylwan, vol. 159 (7): 593-599 (IF 0.410, 15 MNiSW points).

2014

Cierniewski J., Kazmierowski C., Krolewicz S., Piekarczyk J., Wrobel M., Zagajewski B., 2014. Effects of Different Illumination and Observation Techniques of Cultivated Soils on Their Hyperspectral Bidirectional Measurements Under Field and Laboratory Conditions. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7(6): 2525-2530, ISSN (Online) 1939-1404, DOI: 10.1109/JSTARS.2014.2298098, January 2014 (IF 2.874, 35 MNiSW points, pdf).
Groemer G., Soucek A., Frischauf N., Stumptner W., Ragonig C., Sams S., Bartenstein T., Häuplik-Meusburger S., Petrova P., Evetts S., Sivenesan Ch., Bothe C., Boyd A., Dinkelaker A., Dissertori, Fasching M., Fischer M., Föger D., Foresta L., Fritsch L., Fuchs H., Gautsch Ch., Gerard S., Goetzloff L., Gołębiowska I., Gorur P., Groemer G., Groll P., Haider C., Haider O., Hauth E., Hauth S., Hettrich S., Jais W., Jones N., Taj-Eddine K., Karl A., Kauerhoff T., Khan M., Kjeldsen, Klauck A., Losiak A., Luger M., Luger T., Luger U., McArthur J., Moser L., Neuner J., Orgel C., Ori G., Paternesi R., Peschier J., Pfeil I., Prock S., Radinger J., Ramirez B., Ramo W., Rampey M., Sams A., Sams E., Sandu O., Sans A., Sansone P., Scheer D., Schildhammer D., Scornet Q., Sejkora N., Stadler A., Stummer F., Taraba M., Tlustos R., Toferer E., Turetschek T., Winter E., Zanella-Kux K., 2014, The MARS2013 Mars Analog Mission. ASTROBIOLOGY, Vol. 14, no. 5, p. 360-376, DOI: 10.1089/ast.2013.1062. (IF 2.512, 35 MNiSW points)
Groemer G., Sattler B., Weisleitner K., Hunger L., Kohstall C., Frisch A., Józefowicz M., Meszyński S., Storrie-Lombardi M., Bothe C., Boyd A., Dinkelaker A., Dissertori M., Fasching D., Fischer M., Föger D., Foresta L., Frischauf N., Fritsch L., Fuchs H., Gautsch C., Gerard S., Goetzloff L., Gołębiowska I., Gorur P., Groemer G., Groll P., Haider C., Haider O., Hauth E., Hauth S., Hettrich S., Jais W., Jones N., Taj-Eddine K., Karl A., Kauerhoff T., Khan M., Kjeldsen A., Klauck J., Losiak A., Luger M., Luger T., Luger U., McArthur J., Moser L., Neuner J., Orgel C., Ori G., Paternesi R., Peschier J., Pfeil I., Prock S., Radinger J., Ragonig C., Ramirez B., Ramo W., Rampey M., Sams A., Sams E., Sams S., Sandu O., Sans A., Sansone P., Scheer D., Schildhammer D., Scornet Q., Sejkora N., Soucek A., Stadler A., Stummer F., Stumptner W., Taraba M., Tlustos R., Toferer E., Turetschek T., Winter E., Zanella-Kux K., 2014, Field Trial of a Dual-Wavelength Fluorescent Emission (L.I.F.E.) Instrument and the Magma White Rover during the MARS2013 Mars Analog Mission. ASTROBIOLOGY, Vol. 14, no. 5, p. 391-405, DOI: 10.1089/ast.2013.1081. (IF 2.512, 35 MNiSW points).
Groemer G., Foresta L., Turetschek T., Bothe C., Boyd A., Dinkelaker A., Dissertori M., Fasching D., Fischer M., Föger D., Frischauf N., Fritsch L., Fuchs H., Gautsch C., Gerard S., Goetzloff L., Gołębiowska I., Gorur P., Groemer G., Groll P., Haider C., Haider O., Hauth E., Hauth S., Hettrich S., Jais W., Jones N., Taj-Eddine K., Karl A., Kauerhoff T., Khan M., Kjeldsen A., Klauck J., Losiak A., Luger M., Luger T., Luger U., McArthur J., Moser L., Neuner J., Orgel C., Ori G., Paternesi R., Peschier J., Pfeil I., Prock S., Radinger J., Ragonig C., Ramirez B., Ramo W., Rampey M., Sams A., Sams E., Sams S., Sandu O., Sans A., Sansone P., Scheer D., Schildhammer D., Scornet Q., Sejkora N., Soucek A., Stadler A., Stummer F., Stumptner W., Taraba M., Tlustos R., Toferer E., Winter E., Zanella-Kux K., 2014, A Case for Using Ground-Based Thermal Inertia Measurements to Detect Martian Caves, ASTROBIOLOGY, Vol. 14, no. 5, p. 431-437, DOI: 10.1089/ast.2013.1063. (IF 2.512, 35 MNiSW points).
Losiak A., Gołębiowska I., Orgel C., Moser L.,MacArthur J., Boyd A., Hettrich S., Jones N., Groemer G., 2014, Remote Science Support during MARS2013: Testing a Map-Based System of Data Processing and Utilization for Future Long-Duration Planetary Missions. ASTROBIOLOGY, Vol. 14, No 5, p. 417-430, DOI: 10.1089/ast.2013.1071 (IF 2.512, 35 MNiSW points)
Opach T., Gołębiowska I., Fabrikant S.I, 2014, How do people view multi-component animated maps?, „Cartographic Journal”, Vol. 51, no 4, pp. 330-342, DOI: 10.1179/1743277413Y.0000000049 (IF 0.23, 15 MNiSW points)

2013

Obidziński A., Pabjanek P., Mędrzycki P. 2013. Determinants of badger Meles meles sett location in Białowieża Primaeval Forest, northeastern Poland. Wildlife Biology 19.1: 48-68. DOI: 10.2981/11-074 (IF 1.102, 25 MNiSW points)

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2015

2014

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