Search Items: random forest, . hits: 55
** Iglseder, A; Immitzer, M; Dostalova, A; Kasper, A; Pfeifer, N; Bauerhansl, C; Schotl, S; Hollaus, M The potential of combining satellite and airborne remote sensing data for habitat classification and monitoring in forest landscapes.
INT J APPL EARTH OBS. 2023; 117, 103131 WoS FullText FullText_BOKU** Kasarda, R; Moravcikova, N; Meszaros, G; Simcic, M; Zaborski, D Classification of cattle breeds based on the random forest approach.
LIVEST SCI. 2023; 267, 105143 WoS FullText FullText_BOKU** Milanovic, S; Kaczmarowski, J; Ciesielski, M; Trailovic, Z; Mielcarek, M; Szczygiel, R; Kwiatkowski, M; Balazy, R; Zasada, M; Milanovic, SD Modeling and Mapping of Forest Fire Occurrence in the Lower Silesian Voivodeship of Poland Based on Machine Learning Methods.
** Milanovic, S; Trailovic, Z; Milanovic, SD; Hochbichler, E; Kirisits, T; Immitzer, M; Cermak, P; Pokorny, R; Jankovsky, L; Jaafari, A Country-Level Modeling of Forest Fires in Austria and the Czech Republic: Insights from Open-Source Data.
** Ahmed, N; Atzberger, C; Zewdie, W Remote sensing-derived bioclimatic variables for modeling invasive Prosopis juliflora distribution in a region of limited meteorological stations.
TROP ECOL. 2022; 63(1): 94-103. WoS FullText FullText_BOKU** Avand, M; Kuriqi, A; Khazaei, M; Ghorbanzadeh, O DEM resolution effects on machine learning performance for flood probability mapping.
J HYDRO-ENVIRON RES. 2022; 40: 1-16. WoS FullText FullText_BOKU** Britz, R; Barta, N; Schaumberger, A; Klingler, A; Bauer, A; Poetsch, EM; Gronauer, A; Motsch, V Spectral-Based Classification of Plant Species Groups and Functional Plant Parts in Managed Permanent Grassland.
** Buhvald, AP; Racic, M; Immitzer, M; Ostir, K; Veljanovski, T Grassland Use Intensity Classification Using Intra-Annual Sentinel-1 and-2 Time Series and Environmental Variables.
** Ghassemi, B; Dujakovic, A; Zoltak, M; Immitzer, M; Atzberger, C; Vuolo, F Designing a European-Wide Crop Type Mapping Approach Based on Machine Learning Algorithms Using LUCAS Field Survey and Sentinel-2 Data.
** Lechner, M; Dostalova, A; Hollaus, M; Atzberger, C; Immitzer, M Combination of Sentinel-1 and Sentinel-2 Data for Tree Species Classification in a Central European Biosphere Reserve.
** Maxwald, M; Immitzer, M; Rauch, HP; Preti, F Analyzing Fire Severity and Post-Fire Vegetation Recovery in the Temperate Andes Using Earth Observation Data.
** Piralilou, ST; Einali, G; Ghorbanzadeh, O; Nachappa, TG; Gholamnia, K; Blaschke, T; Ghamisi, P A Google Earth Engine Approach for Wildfire Susceptibility Prediction Fusion with Remote Sensing Data of Different Spatial Resolutions.
** Quesada-Ruiz, LC; Rodriguez-Galiano, VF; Zurita-Milla, R; Izquierdo-Verdiguier, E Area and Feature Guided Regularised Random Forest: a novel method for predictive modelling of binary phenomena. The case of illegal landfill in Canary Island.
INT J GEOGR INF SCI. 2022; 36(12): 2473-2495. WoS FullText FullText_BOKU** Som-ard, J; Immitzer, M; Vuolo, F; Ninsawat, S; Atzberger, C Mapping of crop types in 1989, 1999, 2009 and 2019 to assess major land cover trends of the Udon Thani Province, Thailand.
COMPUT ELECTRON AGR. 2022; 198, 107083 WoS FullText FullText_BOKU** Einzmann, K; Atzberger, C; Pinnel, N; Glas, C; Bock, S; Seitz, R; Immitzer, M Early detection of spruce vitality loss with hyperspectral data: Results of an experimental study in Bavaria, Germany.
REMOTE SENS ENVIRON. 2021; 266, 112676 WoS FullText FullText_BOKU** Liu, MX; Liu, JH; Atzberger, C; Jiang, Y; Ma, MF; Wang, XM Zanthoxylum bungeanum Maxim mapping with multi-temporal Sentinel-2 images: The importance of different features and consistency of results.
ISPRS J PHOTOGRAMM. 2021; 174: 68-86. WoS FullText FullText_BOKU** Niederheiser, R; Winkler, M; Di Cecco, V; Erschbamer, B; Fernandez, R; Geitner, C; Hofbauer, H; Kalaitzidis, C; Klingraber, B; Lamprecht, A; Lorite, J; Nicklas, L; Nyktas, P; Pauli, H; Stanisci, A; Steinbauer, K; Theurillat, JP; Vittoz, P; Rutzinger, M Using automated vegetation cover estimation from close-range photogrammetric point clouds to compare vegetation location properties in mountain terrain.
** Daryaei, A; Sohrabi, H; Atzberger, C; Immitzer, M Fine-scale detection of vegetation in semi-arid mountainous areas with focus on riparian landscapes using Sentinel-2 and UAV data.
COMPUT ELECTRON AGR. 2020; 177, 105686 WoS FullText FullText_BOKU** Gholamnia, K; Nachappa, TG; Ghorbanzadeh, O; Blaschke, T Comparisons of Diverse Machine Learning Approaches for Wildfire Susceptibility Mapping.
** Ghorbanzadeh, O; Shahabi, H; Mirchooli, F; Kamran, KV; Lim, S; Aryal, J; Jarihani, B; Blaschke, T Gully erosion susceptibility mapping (GESM) using machine learning methods optimized by the multi-collinearity analysis and K-fold cross-validation.
** Izquierdo-Verdiguier, E; Zurita-Milla, R An evaluation of Guided Regularized Random Forest for classification and regression tasks in remote sensing.
** Nachappa, TG; Ghorbanzadeh, O; Gholamnia, K; Blaschke, T Multi-Hazard Exposure Mapping Using Machine Learning for the State of Salzburg, Austria.
** Nachappa, TG; Piralilou, ST; Gholamnia, K; Ghorbanzadeh, O; Rahmati, O; Blaschke, T Flood susceptibility mapping with machine learning, multi-criteria decision analysis and ensemble using Dempster Shafer Theory.
J HYDROL. 2020; 590, 125275 WoS FullText FullText_BOKU** Schlogl, M A multivariate analysis of environmental effects on road accident occurrence using a balanced bagging approach.
ACCIDENT ANAL PREV. 2020; 136, 105398 WoS PubMed FullText FullText_BOKU** Senf, C; Lastovicka, J; Okujeni, A; Heurich, M; van der Linden, S A generalized regression-based unmixing model for mapping forest cover fractions throughout three decades of Landsat data.
REMOTE SENS ENVIRON. 2020; 240, 111691 WoS FullText FullText_BOKU** Theroux-Rancourt, G; Jenkins, MR; Brodersen, CR; McElrone, A; Forrestel, EJ; Earles, JM Digitally deconstructing leaves in 3D using X-ray microcomputed tomography and machine learning.
** Zafari, A; Zurita-Milla, R; Izquierdo-Verdiguier, E A Multiscale Random Forest Kernel for Land Cover Classification.
** Zafari, A; Zurita-Milla, R; Izquierdo-Verdiguier, E Land Cover Classification Using Extremely Randomized Trees: A Kernel Perspective.
IEEE GEOSCI REMOTE S. 2020; 17(10): 1702-1706. WoS FullText FullText_BOKU** Ghorbanzadeh, O; Kamran, KV; Blaschke, T; Aryal, J; Naboureh, A; Einali, J; Bian, JH Spatial Prediction of Wildfire Susceptibility Using Field Survey GPS Data and Machine Learning Approaches.
** Mbaabu, PR; Ng, WT; Schaffner, U; Gichaba, M; Olago, D; Choge, S; Oriaso, S; Eckert, S Spatial Evolution of Prosopis Invasion and its Effects on LULC and Livelihoods in Baringo, Kenya.
** Otgonbayar, M; Atzberger, C; Mattiuzzi, M; Erdenedalai, A Estimation of Climatologies of Average Monthly Air Temperature over Mongolia Using MODIS Land Surface Temperature (LST) Time Series and Machine Learning Techniques.
** Sanchez-Ruiz, S; Moreno-Martinez, A; Izquierdo-Verdiguier, E; Chiesi, M; Maselli, F; Gilabert, MA Growing stock volume from multi-temporal landsat imagery through google earth engine.
INT J APPL EARTH OBS. 2019; 83, UNSP 101913 WoS FullText FullText_BOKU** Zafari, A; Zurita-Milla, R; Izquierdo-Verdiguier, E Evaluating the Performance of a Random Forest Kernel for Land Cover Classification.
** Immitzer, M; Bock, S; Einzmann, K; Vuolo, F; Pinnel, N; Wallner, A; Atzberger, C Fractional cover mapping of spruce and pine at 1 ha resolution combining very high and medium spatial resolution satellite imagery.
REMOTE SENS ENVIRON. 2018; 204: 690-703. WoS FullText FullText_BOKU** Maschler, J; Atzberger, C; Immitzer, M Individual Tree Crown Segmentation and Classification of 13 Tree Species Using Airborne Hyperspectral Data.
** Vuolo, F; Neuwirth, M; Immitzer, M; Atzberger, C; Ng, WT How much does multi-temporal Sentinel-2 data improve crop type classification?.
INT J APPL EARTH OBS. 2018; 72: 122-130. WoS FullText FullText_BOKU** Zhao, JS; Sykacek, P; Bodner, G; Rewald, B Root traits of European Vicia faba cultivarsUsing machine learning to explore adaptations to agroclimatic conditions.
** Einzmann, K; Immitzer, M; Bock, S; Bauer, O; Schmitt, A; Atzberger, C Windthrow Detection in European Forests with Very High-Resolution Optical Data.
** Ng, WT; Rima, P; Einzmann, K; Immitzer, M; Atzberger, C; Eckert, S Assessing the Potential of Sentinel-2 and Pleiades Data for the Detection of Prosopis and Vachellia spp. in Kenya.
** Stepper, C; Straub, C; Immitzer, M; Pretzsch, H Using canopy heights from digital aerial photogrammetry to enable spatial transfer of forest attribute models: a case study in central Europe.
SCAND J FOREST RES. 2017; 32(8): 748-761. WoS FullText FullText_BOKU** Immitzer, M; Stepper, C; Bock, S; Straub, C; Atzberger, C Use of WorldView-2 stereo imagery and National Forest Inventory data for wall-to-wall mapping of growing stock.
FOREST ECOL MANAG. 2016; 359: 232-246. WoS FullText FullText_BOKU** Immitzer, M; Vuolo, F; Atzberger, C First Experience with Sentinel-2 Data for Crop and Tree Species Classifications in Central Europe.
REMOTE SENS-BASEL. 2016; 8(3): WoS FullText FullText_BOKU** Ng, WT; Meroni, M; Immitzer, M; Bock, S; Leonardi, U; Rembold, F; Gadain, H; Atzberger, C Mapping Prosopis spp. with Landsat 8 data in arid environments: Evaluating effectiveness of different methods and temporal imagery selection for Hargeisa, Somaliland.
INT J APPL EARTH OBS. 2016; 53: 76-89. WoS FullText FullText_BOKU** Schoneberg, S; Nothdurft, A; Nuske, RS; Ackermann, J; Saborowski, J Comparison of stand volume predictions based on airborne laser scanning data versus aerial stereo images.
ALLG FORST JAGDZTG. 2016; 187(1-2): 1-13. WoS** Zhao, JS; Bodner, G; Rewald, B Phenotyping: Using Machine Learning for Improved Pairwise Genotype Classification Based on Root Traits.
** Kinzner, MC; Wagner, HC; Peskoller, A; Moder, K; Dowell, FE; Arthofer, W; Schlick-Steiner, BC; Steiner, FM A near-infrared spectroscopy routine for unambiguous identification of cryptic ant species.
PEERJ. 2015; 3: WoS FullText FullText_BOKU** Melcher, M; Scharl, T; Spangl, B; Luchner, M; Cserjan, M; Bayer, K; Leisch, F; Striedner, G; The potential of random forest and neural networks for biomass and recombinant protein modeling in Escherichia coli fed-batch fermentations..
Biotechnol J. 2015; 10(11):1770-1782 WoS PubMed FullText FullText_BOKU** Schultz, B; Immitzer, M; Formaggio, AR; Sanches, ID; Luiz, AJB; Atzberger, C Self-Guided Segmentation and Classification of Multi-Temporal Landsat 8 Images for Crop Type Mapping in Southeastern Brazil.
REMOTE SENS-BASEL. 2015; 7(11): 14482-14508. WoS FullText FullText_BOKU** Koukal, T; Atzberger, C; Schneider, W Evaluation of semi-empirical BRDF models inverted against multi-angle data from a digital airborne frame camera for enhancing forest type classification.
REMOTE SENS ENVIRON. 2014; 151: 27-43. WoS FullText FullText_BOKU** Vuolo, F; Atzberger, C Improving Land Cover Maps in Areas of Disagreement of Existing Products using NDVI Time Series of MODIS - Example for Europe.
PHOTOGRAMM FERNERKUN. 2014; (5): 393-407. WoS FullText FullText_BOKU** Zohmann, M; Immitzer, M; Woss, M; Gossow, H; Nopp-Mayr, U Modelling habitat use of Tetrao urogallus L. in Austria for conservation issues.
J NAT CONSERV. 2014; 22(3): 223-234. WoS FullText FullText_BOKU** Toscani, P; Immitzer, M; Atzberger, C Wavelet-based texture measures for object-based classification of aerial images.
PHOTOGRAMM FERNERKUN. 2013; (2): 105-121. WoS FullText FullText_BOKU** Vuolo, F; Neugebauer, N; Bolognesi, SF; Atzberger, C; DxxxUrso, G Estimation of Leaf Area Index Using DEIMOS-1 Data: Application and Transferability of a Semi-Empirical Relationship between two Agricultural Areas.
REMOTE SENS-BASEL. 2013; 5(3): 1274-1291. WoS FullText FullText_BOKU** Immitzer, M; Atzberger, C; Koukal, T Tree Species Classification with Random Forest Using Very High Spatial Resolution 8-Band WorldView-2 Satellite Data.
REMOTE SENS-BASEL. 2012; 4(9): 2661-2693. WoS FullText FullText_BOKU** Breidenbach, J; Nothdurft, A; Kandler, G Comparison of nearest neighbour approaches for small area estimation of tree species-specific forest inventory attributes in central Europe using airborne laser scanner data.
EUR J FOREST RES. 2010; 129(5): 833-846. WoS FullText FullText_BOKU