Mateo Gasparovic

Orcid: 0000-0003-2345-7882

According to our database1, Mateo Gasparovic authored at least 18 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Retrieval of Crop Canopy Chlorophyll: Machine Learning vs. Radiative Transfer Model.
Remote. Sens., June, 2024

2023
Advances in geocomputation and geospatial artificial intelligence (GeoAI) for mapping.
Int. J. Appl. Earth Obs. Geoinformation, June, 2023

Monitoring Ash Dieback in Europe - An Unrevealed Perspective for Remote Sensing?
Remote. Sens., March, 2023

2022
Comparative Assessment of Pixel and Object-Based Approaches for Mapping of Olive Tree Crowns Based on UAV Multispectral Imagery.
Remote. Sens., 2022

The Role of Remote Sensing Data and Methods in a Modern Approach to Fertilization in Precision Agriculture.
Remote. Sens., 2022

Discrimination of Rock Units in Karst Terrains Using Sentinel-2A Imagery.
Remote. Sens., 2022

2021
Assessment of Close-Range Remote Sensing Methods for DTM Estimation in a Lowland Deciduous Forest.
Remote. Sens., 2021

Sentinel-1 and 2 Time-Series for Vegetation Mapping Using Random Forest Classification: A Case Study of Northern Croatia.
Remote. Sens., 2021

An Evaluation of Pixel- and Object-Based Tree Species Classification in Mixed Deciduous Forests Using Pansharpened Very High Spatial Resolution Satellite Imagery.
Remote. Sens., 2021

2020
Optimal Soybean (Glycine max L.) Land Suitability Using GIS-Based Multicriteria Analysis and Sentinel-2 Multitemporal Images.
Remote. Sens., 2020

Mapping of the Canopy Openings in Mixed Beech-Fir Forest at Sentinel-2 Subpixel Level Using UAV and Machine Learning Approach.
Remote. Sens., 2020

Impact of UAS Image Orientation on Accuracy of Forest Inventory Attributes.
Remote. Sens., 2020

Comparative Assessment of Machine Learning Methods for Urban Vegetation Mapping Using Multitemporal Sentinel-1 Imagery.
Remote. Sens., 2020

Tree Species Classification in Mixed Deciduous Forests Using Very High Spatial Resolution Satellite Imagery and Machine Learning Methods.
Remote. Sens., 2020

An automatic method for weed mapping in oat fields based on UAV imagery.
Comput. Electron. Agric., 2020

2019
Automatic cost-effective method for land cover classification (ALCC).
Comput. Environ. Urban Syst., 2019

Determining Optimal Solar Power Plant Locations Based on Remote Sensing and GIS Methods: A Case Study from Croatia.
Remote. Sens., 2019

2017
Gimbal Influence on the Stability of Exterior Orientation Parameters of UAV Acquired Images.
Sensors, 2017


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