{"id":5354,"date":"2026-02-12T09:40:38","date_gmt":"2026-02-12T09:40:38","guid":{"rendered":"https:\/\/geoai.si\/results\/"},"modified":"2026-09-04T06:08:30","modified_gmt":"2026-09-04T06:08:30","slug":"results","status":"publish","type":"page","link":"https:\/\/geoai.si\/en\/results\/","title":{"rendered":"Results"},"content":{"rendered":"<p><div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-1 fusion-flex-container has-pattern-background has-mask-background nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-padding-top:0px;--awb-padding-bottom:0px;--awb-margin-bottom:0px;--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start fusion-flex-content-wrap\" style=\"max-width:1248px;margin-left: calc(-4% \/ 2 );margin-right: calc(-4% \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-0 fusion_builder_column_3_5 3_5 fusion-flex-column fusion-flex-align-self-flex-start fusion-column-no-min-height fusion-animated\" style=\"--awb-padding-right-medium:0px;--awb-padding-left-medium:0px;--awb-bg-blend:overlay;--awb-bg-size:cover;--awb-width-large:60%;--awb-margin-top-large:0px;--awb-spacing-right-large:12.8%;--awb-margin-bottom-large:90px;--awb-spacing-left-large:3.2%;--awb-width-medium:50%;--awb-spacing-right-medium:15.36%;--awb-margin-bottom-medium:49px;--awb-spacing-left-medium:3.84%;--awb-width-small:100%;--awb-spacing-right-small:1.92%;--awb-margin-bottom-small:0px;--awb-spacing-left-small:1.92%;\" data-animationType=\"fadeIn\" data-animationDuration=\"0.8\" data-animationOffset=\"top-into-view\"><div class=\"fusion-column-wrapper fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-text fusion-text-1 fusion-text-no-margin\" style=\"--awb-font-size:var(--awb-typography3-font-size);--awb-line-height:var(--awb-typography3-line-height);--awb-letter-spacing:var(--awb-typography3-letter-spacing);--awb-text-transform:var(--awb-typography3-text-transform);--awb-text-color:var(--awb-color5);--awb-margin-top:0px;--awb-margin-right:0px;--awb-margin-bottom:0px;--awb-margin-left:0px;--awb-text-font-family:var(--awb-typography3-font-family);--awb-text-font-weight:var(--awb-typography3-font-weight);--awb-text-font-style:var(--awb-typography3-font-style);\"><p>Our Work<\/p>\n<\/div><div class=\"fusion-title title fusion-title-1 fusion-sep-none fusion-title-text fusion-title-size-three\" style=\"--awb-margin-bottom:0px;--awb-margin-top-small:10px;--awb-margin-right-small:0px;--awb-margin-bottom-small:10px;--awb-margin-left-small:0px;\"><h3 class=\"fusion-title-heading title-heading-left\" style=\"margin:0;\">Results of Collaborative Research<\/h3><\/div><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-1 fusion_builder_column_2_5 2_5 fusion-flex-column fusion-flex-align-self-flex-end fusion-column-no-min-height fusion-animated\" style=\"--awb-padding-right-medium:0px;--awb-padding-left-medium:0px;--awb-bg-blend:overlay;--awb-bg-size:cover;--awb-width-large:40%;--awb-margin-top-large:0px;--awb-spacing-right-large:4.8%;--awb-margin-bottom-large:80px;--awb-spacing-left-large:3.84%;--awb-width-medium:50%;--awb-spacing-right-medium:3.84%;--awb-margin-bottom-medium:49px;--awb-spacing-left-medium:3.072%;--awb-width-small:100%;--awb-spacing-right-small:1.92%;--awb-margin-bottom-small:30px;--awb-spacing-left-small:1.92%;\" data-animationType=\"fadeIn\" data-animationDuration=\"0.8\" data-animationOffset=\"top-into-view\"><div class=\"fusion-column-wrapper fusion-flex-justify-content-flex-end fusion-content-layout-column\"><div class=\"fusion-separator fusion-full-width-sep\" style=\"align-self: center;margin-left: auto;margin-right: auto;margin-top:15px;width:100%;\"><\/div><div class=\"fusion-text fusion-text-2 fusion-text-no-margin\" style=\"--awb-margin-bottom:10px;\"><p>This page presents the key results of the project, including developed methods, tools, publications, and other achievements. They are presented clearly and accessibly for further use and enhancement. <\/p>\n<\/div><\/div><\/div><\/div><\/div><div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-2 fusion-flex-container has-pattern-background has-mask-background nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-margin-top:-30px;--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start fusion-flex-content-wrap\" style=\"max-width:1248px;margin-left: calc(-4% \/ 2 );margin-right: calc(-4% \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-2 fusion_builder_column_1_1 1_1 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:100%;--awb-margin-top-large:-20px;--awb-spacing-right-large:1.92%;--awb-margin-bottom-large:20px;--awb-spacing-left-large:1.92%;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:1.92%;--awb-spacing-left-medium:1.92%;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\" data-scroll-devices=\"small-visibility,medium-visibility,large-visibility\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-text fusion-text-3\"><h4><span data-olk-copy-source=\"MessageBody\">Peer-Reviewed Scientific Articles in Journals<\/span><\/h4>\n<\/div><div class=\"fusion-text fusion-text-4\"><ul>\n<li><span data-olk-copy-source=\"MessageBody\">Poto\u010dnik Buhvald, A., O\u0161tir, K., Skudnik, M. (2026). Interannual variability of European beech spring phenology across elevation gradients derived from Sentinel-2 time series. Ecological Informatics, 97, <a href=\"https:\/\/doi.org\/10.1016\/j.ecoinf.2026.103934\" target=\"_blank\" rel=\"noopener\">https:\/\/doi.org\/10.1016\/j.ecoinf.2026.103934<\/a>  <\/span><\/li>\n<\/ul>\n<\/div><div class=\"fusion-text fusion-text-5\"><h4><span data-olk-copy-source=\"MessageBody\">Scientific Monograph<\/span><\/h4>\n<\/div><div class=\"fusion-text fusion-text-6\"><ul>\n<li>Stan\u010di\u010d, L., O\u0161tir, K., Kokalj, \u017d. (2026). Sub-pixel mapping for change detection in fluvial environments. Ljubljana: Zalo\u017eba ZRC, 2026. Prostor, kraj, \u010das, 23. <a title=\"https:\/\/doi.org\/10.3986\/9789610510949\" href=\"https:\/\/doi.org\/10.3986\/9789610510949\" target=\"_blank\" rel=\"noopener\" data-auth=\"NotApplicable\" data-linkindex=\"3\">https:\/\/doi.org\/10.3986\/9789610510949<\/a>  <\/li>\n<\/ul>\n<\/div><div class=\"fusion-text fusion-text-7\"><h4>Published Conference Papers<\/h4>\n<\/div><div class=\"fusion-text fusion-text-8\"><ul>\n<li data-olk-copy-source=\"MessageBody\">Ger\u010der, M., Grabrijan, T., Tekavec, J., Lisec, A., O\u0161tir, K. (2026). <strong>Near Real-Time Flood Mapping from Sentinel Data Using Machine Learning Techniques<\/strong>. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIX-B3-2026, 797\u2013803, <a title=\"https:\/\/doi.org\/10.5194\/isprs-archives-XLIX-B3-2026-797-2026\" href=\"https:\/\/doi.org\/10.5194\/isprs-archives-XLIX-B3-2026-797-2026\" target=\"_blank\" rel=\"noopener\" data-auth=\"NotApplicable\" data-linkindex=\"4\">https:\/\/doi.org\/10.5194\/isprs-archives-XLIX-B3-2026-797-2026<\/a>.<\/li>\n<li>Gorup, G., Bohak, C. (2026). <strong>Visualization of temporal changes in environmental point cloud scans<\/strong>. In: EnvirVis 2026 : Workshop on Visualisation in Environmental Sciences : Nottingham, UK, June 8\u2013 12, 2026. Graz: Eurographics Association, cop.   2026. Pp. 1-7, <a title=\"https:\/\/doi.org\/10.2312\/envir.20261004\" href=\"https:\/\/doi.org\/10.2312\/envir.20261004\" target=\"_blank\" rel=\"noopener\" data-auth=\"NotApplicable\" data-linkindex=\"5\">https:\/\/doi.org\/10.2312\/envir.20261004<\/a> <\/li>\n<li>Gorup, G., Bohak, C. (2026). <strong>Volume change analysis in environmental point clouds<\/strong>. In: WSCG 2026 : 34.  International Conference on Computer Graphics, Visualization and Computer Vision, May 26 &#8211; 28, 2026, Plzen, Czech Republic. <a title=\"http:\/\/wscg.zcu.cz\/wscg2026\/Papers\/2026_E73-full.PDF\" href=\"http:\/\/wscg.zcu.cz\/wscg2026\/Papers\/2026_E73-full.PDF\" target=\"_blank\" rel=\"noopener\" data-auth=\"NotApplicable\" data-linkindex=\"6\">http:\/\/wscg.zcu.cz\/wscg2026\/Papers\/2026_E73-full.PDF<\/a><\/li>\n<li>Stojanovi\u0107, L., Lisec, A., O\u0161tir, K., Fetai, B<b>. <\/b>(2026). <b><i>Detection of Cropland Abandonment through Multi-Temporal Landsat Data and Spatially Independent Machine Learning Validation. <\/i><\/b>Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIX-B3-2026, 679\u2013688, <a title=\"https:\/\/doi.org\/10.5194\/isprs-archives-XLIX-B3-2026-679-2026\" href=\"https:\/\/doi.org\/10.5194\/isprs-archives-XLIX-B3-2026-679-2026\" target=\"_blank\" rel=\"noopener\" data-auth=\"NotApplicable\" data-linkindex=\"7\">https:\/\/doi.org\/10.5194\/isprs-archives-XLIX-B3-2026-679-2026<\/a><\/li>\n<li>Wolf, F., Rolih, B., \u010cehovin Zajc, L. (2026). <strong>Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation<\/strong>. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026, pp. 27815-27826. <a title=\"https:\/\/openaccess.thecvf.com\/content\/CVPR2026\/html\/Wolf_Brewing_Stronger_Features_Dual-Teacher_Distillation_for_Multispectral_Earth_Observation_CVPR_2026_paper.html\" href=\"https:\/\/openaccess.thecvf.com\/content\/CVPR2026\/html\/Wolf_Brewing_Stronger_Features_Dual-Teacher_Distillation_for_Multispectral_Earth_Observation_CVPR_2026_paper.html\" target=\"_blank\" rel=\"noopener\" data-auth=\"NotApplicable\" data-linkindex=\"8\">https:\/\/openaccess.thecvf.com\/content\/CVPR2026\/html\/Wolf_Brewing_Stronger_Features_Dual-Teacher_Distillation_for_Multispectral_Earth_Observation_CVPR_2026_paper.html<\/a>, <a title=\"https:\/\/github.com\/wolfilip\/DEO-FM\" href=\"https:\/\/github.com\/wolfilip\/DEO-FM\" data-auth=\"NotApplicable\" data-linkindex=\"9\">https:\/\/github.com\/wolfilip\/DEO-FM<\/a><\/li>\n<\/ul>\n<\/div><div class=\"fusion-text fusion-text-9\"><h4><span data-olk-copy-source=\"MessageBody\">Published Conference Abstracts<\/span><\/h4>\n<\/div><div class=\"fusion-text fusion-text-10\"><ul>\n<li>Jemec Aufli\u010d, M., Ma\u010dek, M., Smolar, J., Kure, K., Peternel, T., Gr\u010dman, H., Turni\u0161ki, R., Zupan., M., \u017dvokelj, L., Pulko, B. (2026). Framework for early detection and characterisation of hydraulically induced shallow landslides. In: EGU General Assembly 2026 : Vienna, Austria &#038; Online, 3\u20138 May 2026. EGU &#8211; European Geosciences Union, <a title=\"https:\/\/doi.org\/10.5194\/egusphere-egu26-9556\" href=\"https:\/\/doi.org\/10.5194\/egusphere-egu26-9556\" data-auth=\"NotApplicable\" data-linkindex=\"10\">https:\/\/doi.org\/10.5194\/egusphere-egu26-9556<\/a><\/li>\n<\/ul>\n<\/div><div class=\"fusion-text fusion-text-11\"><h4>Project Documents<\/h4>\n<\/div><div class=\"fusion-text fusion-text-12\"><ul>\n<li><a href=\"https:\/\/geoai.si\/wp-content\/uploads\/2026\/04\/Nacrt-uporavljanja-podatkov.pdf\" target=\"_blank\" rel=\"noopener\">Data Management Plan<\/a><\/li>\n<li><a href=\"https:\/\/geoai.si\/wp-content\/uploads\/2026\/04\/Priloga-A.pdf\">Appendix A<\/a><\/li>\n<\/ul>\n<\/div><\/div><\/div><\/div><\/div><\/p>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"100-width.php","meta":{"footnotes":""},"class_list":["post-5354","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/geoai.si\/en\/wp-json\/wp\/v2\/pages\/5354","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/geoai.si\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/geoai.si\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/geoai.si\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/geoai.si\/en\/wp-json\/wp\/v2\/comments?post=5354"}],"version-history":[{"count":10,"href":"https:\/\/geoai.si\/en\/wp-json\/wp\/v2\/pages\/5354\/revisions"}],"predecessor-version":[{"id":5957,"href":"https:\/\/geoai.si\/en\/wp-json\/wp\/v2\/pages\/5354\/revisions\/5957"}],"wp:attachment":[{"href":"https:\/\/geoai.si\/en\/wp-json\/wp\/v2\/media?parent=5354"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}