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17th International Multidisciplinary Scientific GeoConference SGEM2017, Water Resources. Forest, Marine and Ocean Ecosystems | 2017

Geospatial monitoring of green infrastructure – case study Zagreb, Croatia

Mateo Gašparović; Damir Medak; Mario Miler

This paper presents current research done under the GEMINI (Geospatial monitoring of green infrastructure using terrestrial, airborne and satellite imagery) project. GEMINI is a scientific project of the Faculty of Geodesy, University of Zagreb and Croatian Forest Research Institute funded by the Croatian science foundation. The project aims to explore new knowledge about the green infrastructure (GI) monitoring. The study area of the research is the capital of Croatia, the city of Zagreb. One of the main goals of the project is to explore the possibilities of data integration of all available remote sensing platforms: satellite, aerial and UAV (Unmanned Aerial Vehicles) imagery, terrestrial imagery and ground truth data. UAV-based remote sensing offers great possibilities to acquire field data for monitoring of GI within the urban areas in a fast and easy way. The main objective of this research is to establish an innovative, multidimensional system for monitoring of urban green infrastructure. It will integrate the latest means of data collection (multispectral satellite imagery improved and calibrated with high resolution terrestrial and airborne multispectral sources), advanced spatial analysis with the aim to improve decision support system for better management of urban GI. This project will improve the current state of the inventory and monitoring of the urban GI to support decision making and preservation of GI benefits, through the establishment of comprehensive procedures for integration of different sources of imagery at different resolution scales: satellite, terrestrial and airborne. This research will focus on novel methods for GI monitoring on the integration of different multispectral imagery sensors. It will require a highly multidisciplinary approach, leading to improvements in methods and procedures for automatic and semi-automatic processing of a large number of geospatial imagery data in the field of urban forest management with expected impact in forestry, arboriculture, urban and geospatial science.


Transportation Research Part C-emerging Technologies | 2016

Extracting accurate location information from a highly inaccurate traffic accident dataset: A methodology based on a string matching technique

Mario Miler; Filip Todić; Marko Ševrović


Promet-traffic & Transportation | 2014

THE SHORTEST PATH ALGORITHM PERFORMANCE COMPARISON IN GRAPH AND RELATIONAL DATABASE ON A TRANSPORTATION NETWORK

Mario Miler; Damir Medak; Dražen Odobašić


GI_Forum | 2011

Two-Tier Architecture for Web Mapping with NoSQL Database CouchDB

Mario Miler; Damir Medak; Drazen Odobasic


Archive | 2010

An Efficient Web-GIS Solution based on Open Source Technologies: A Case-Study of Urban Planning and Management of the City of Zagreb, Croatia

Mario Miler; Drazen Odobasic; Damir Medak


Sumarski List | 2018

UTJECAJ FUZIJE SNIMKI NA PROMJENU POVRŠINE ŠUMSKOG PODRUČJA KORISTEĆI NENADZIRANU KLASIFIKACIJU

Luka Rumora; Mario Miler; Damir Medak


Archive | 2017

Vegetation detection using video data

Luka Rumora; Mario Miler; Damir Medak; Ivan Majić; Ivan Pilaš


SCERIN-4 Capacity Building Workshop (CBW) Zvolen, Slovakia 18-22 July, 2016 | 2016

The use of satellite imagery in the asessment of the restoration of the floodplain Česma forest in the North-Western Croatia

Luka Rumora; Mario Miler; Damir Medak; Ivan Medved; Ivan Pilaš


7th GNSS Vulnerabilities and Solutions Conference | 2013

Tram electric grid influence on GPS reception

Marko Ševrović; Mario Miler; Bojan Jovanović


Četvrti hrvatski kongres o katastru s međunarodnim sudjelovanjem | 2010

Management of spatial databases in CAD environment

Mario Miler; Damir Medak; Frane Glasinović

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Ivan Pilaš

Forest Research Institute

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