Explanipedia

Turning Seasonal Signals into Segmentation Cues: Recolouring the Harmonic Normalized Difference Vegetation Index for Agricultural Field Delineation Open

Filip Papić, Luka Rumora, Damir Medak, Mario Miler · 2025

Accurate delineation of fields is difficult in fragmented landscapes where single-date images provide no seasonal cues and supervised models require labels. We propose a method that explicitly represents phenology to improve zero-shot deli…

Utilizing High Resolution Satellite Imagery for Automated Road Infrastructure Safety Assessments Open

Ivan Brkić, Marko Ševrović, Damir Medak, Mario Miler · 2023

The European Commission (EC) has published a European Union (EU) Road Safety Framework for the period 2021 to 2030 to reduce road fatalities. In addition, the EC with the EU Directive 2019/1936 requires a much more detailed recording of ro…

Automatic Roadside Feature Detection Based on Lidar Road Cross Section Images Open

Ivan Brkić, Mario Miler, Marko Ševrović, Damir Medak · 2022

The United Nations (UN) stated that all new roads and 75% of travel time on roads must be 3+ star standard by 2030. The number of stars is determined by the International Road Assessment Program (iRAP) star rating module. It is based on 64…

EVALUATION OF FEATURE SELECTION METHODS FOR VEGETATION MAPPING USING MULTITEMPORAL SENTINEL IMAGERY Open

Dino Dobrinić, Mateo Gašparović, Damir Medak · 2022

With the recent advances in remote sensing technologies for Earth observation (EO), many different remote sensors (e.g., optical, radar) collect data with distinctive properties. EO data have been employed to monitor croplands and forested…

Combining multiple shaded reliefs with hypsometric colouring and digital orthophotos using free and open-source software Open

Adam Vinković, Robert Župan, Stanislav Frangeš, Damir Medak · 2021

In this paper we combined layers created from several terrain rendering techniques, namely a shaded relief rendered in the free and open-source 3D computer graphics software Blender, a hillshade created in the free and opensource Geographi…

INTEGRATION OF MULTITEMPORAL SENTINEL-1 AND SENTINEL-2 IMAGERY FOR LAND-COVER CLASSIFICATION USING MACHINE LEARNING METHODS Open

Dino Dobrinić, Damir Medak, Mateo Gašparović · 2020

Using space-borne remote sensing data is widely used for land-cover classification (LCC) due to its ability to provide a big amount of data with a regular temporal revisit time. In recent years, optical and synthetic aperture radar (SAR) i…

Evaluating Different Machine Learning Methods on RapidEye and PlanetScope Satellite Imagery Open

Nikola Kranjčić, Damir Medak · 2020

Machine learning methods for classification of the green infrastructure in city areas Open

Nikola Kranjčić, Damir Medak, Robert Župan, Milan Rezo · 2019

Reducing green urban infrastructure pose a huge threat to cities sustainability. It is important to monitor and track the health of vegetation. For efficient planning of urban development and maintenance of green urban infrastructure, the …

Support Vector Machine Accuracy Assessment for Extracting Green Urban Areas in Towns Open

Nikola Kranjčić, Damir Medak, Robert Župan, Milan Rezo · 2019

The most commonly used model for analyzing satellite imagery is the Support Vector Machine (SVM). Since there are a large number of possible variables for use in SVM, this paper will provide a combination of parameters that fit best for ex…

Analiza prostornih podataka o solarnom potencijalu za Hrvatsku Open

Iva Gašparović, Mateo Gašparović, Damir Medak, Mladen Zrinjski · 2019

Analiza visinske točnosti službenoga vektorskoga digitalnoga modela reljefa Republike Hrvatske dobivenog fotogrametrijskom restitucijom Open

Karlo Šimek, Damir Medak, Ivan Medved · 2018

FUSION OF SENTINEL-2 AND PLANETSCOPE IMAGERY FOR VEGETATION DETECTION AND MONITORING Open

Mateo Gašparović, Damir Medak, Ivan Pilaš, Luka Jurjević, Ivan Balenović · 2018

Different spatial resolutions satellite imagery with global almost daily revisit time provide valuable information about the earth surface in a short time. Based on the remote sensing methods satellite imagery can have different applicatio…

Analiza prostorne točnosti zračnih i satelitskih snimaka grada Zagreba Open

Mateo Gašparović, Dino Dobrinić, Damir Medak · 2018

Utjecaj fuzije snimki na promjenu površine šumskog područja koristeći nenadziranu klasifikaciju Open

Luka Rumora, Mario Miler, Damir Medak · 2018

Danas su sve traženiji slobodno dostupni satelitski podaci visoke rezolucije poput podataka dobivenih iz Landsat satelitske misije. Karakteristika Landsat podataka je površinska razlučivost snimki od 30 m x 30 m. Za neke uporabe ta razluči…

Utjecaj algoritama za uklanjanje depresija na simulaciju površinskog otjecanja Open

Sanja Šamanović, Damir Medak, Duška Kunštek · 2017

Influence of pit removal algorithms on surface runoff simulation Open

Sanja Šamanović, Damir Medak, Duška Kunštek · 2017

The digital terrain model (DTM) with removed pits is a precondition for hydrologic analysis. Two pit removal methods, the carving method and the filling method, are investigated in the paper for three different geomorphometric areas. The i…

Correction: PILAŠ I, MEDVED I, MEDAK J, PERČEC TADIĆ M, MEDAK D 2016 Ecological, Typological Properties and Photosynthetic Activity (FAPAR) of Common Beech (Fagus sylvatica L.) Ecosystems in Croatia Open

Ivan Pilaš, Ivan Medved, Jasna Medak, Melita Perčec Tadić, Damir Medak · 2017

Background and purpose: The purpose of this study was to assess the structural and functional properties of common beech forest ecosystems in Croatia across a wide macro-climatic gradient (Mediterranean, Alpine and Continental) and to gain…

Utjecaj izbora metode uklanjanja depresija na digitalni model reljefa dobiven slikovnom korelacijom Open

Sanja Šamanović, Damir Medak, Duška Kunštek · 2016

ANALYSIS OF THE PIT REMOVAL METHODS IN DIGITAL TERRAIN MODELS OF VARIOUS RESOLUTIONS Open

S. Šamanović, Damir Medak, Dubravko Gajski · 2016

Digital terrain model (DTM) is the base for calculation of the surface runoff under the influence of the gravity (gravity flow) in hydrological analysis. It is important to produce hydrologically corrected DTM with the removed natural and …

ANALYSIS OF THE PIT REMOVAL METHODS IN DIGITAL TERRAIN MODELS OF VARIOUS RESOLUTIONS Open

Sanja Šamanović, Damir Medak, Dubravko Gajski · 2016

Digital terrain model (DTM) is the base for calculation of the surface runoff under the influence of the gravity (gravity flow) in hydrological analysis. It is important to produce hydrologically corrected DTM with the removed natural and …

Usporedba vrijednosti vegetacijskog indeksa dobivenog na temelju digitalnog broja i refleksije na vrhu atmosfere Open

Luka Rumora, Ivan Medved, Ivan Pilaš, Damir Medak · 2016

Ecological, Typological Properties and Photosynthetic Activity (FAPAR) of Common Beech (Fagus sylvatica L.) Ecosystems in Croatia Open

Ivan Pilaš, Ivan Medved, Jasna Medak, Melita Perčec Tadić, Damir Medak · 2015

Background and purpose: The purpose of this study was to assess the structural and functional properties of common beech forest ecosystems in Croatia across a wide macro-climatic gradient (Mediterranean, Alpine and Continental) and to gain…

Web GIS for Airport Emergency Response - UML Model Open

Martina Baučić, Damir Medak · 2015

The main objective of integrating Web GIS in airport emergency response should be to provide the most appropriate geospatial information to all participants. Airport emergency response still needs a model that will explain its complexity: …

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