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Tünde Takáts

Identification and Counting of European Souslik Burrows from UAV Images by Pixel-Based Image Analysis and Random Forest Classification: A Simple, Semi-Automated, yet Accurate Method for Estimating Population Size
2022 · Csongor I. Gedeon, Mátyás Árvai, et al. · Remote Sensing · 18
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Spatial Modelling of Vineyard Erosion in the Neszmély Wine Region, Hungary Using Proximal Sensing
2022 · Tünde Takáts, János Mészáros, et al. · Remote Sensing · 6
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Testing the Applicability and Transferability of Data-Driven Geospatial Models for Predicting Soil Erosion in Vineyards
2025 · Tünde Takáts, László Pásztor, et al. · Land · 5
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Past and present existence of Spermophilus citellus in Hungary with a forecast of its population using time series models
2025 · Tamás Cserkész, Olivér Váczi, et al. · Journal for Nature Conservation · 3
Mapping biological activity of soils using the ‘Life in Undies’ citizen science programme
2026 · Tünde Takáts, Kitti Balog, et al. · Journal of Maps · 2
Az „Alsóban az élet” című hazai talajállapotot célzó közösségi tudomány program első tapasztalatai és eredményei
2023 · Mátyás Árvai, Tünde Takáts, et al. · Agrokémia és Talajtan · 2
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Reference frame and map projection for irregular shaped celestial bodies
2020 · Krisztián Kerkovits, Tünde Takáts · Abstracts of the ICA · 2
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Estimating Actual Abundance of European Sousliks: Using UAV Imagery, Pixel Based Image Analysis and Random Forest Classification to Count Souslik Burrows
2021 · Csongor I. Gedeon, Mátyás Árvai, et al. · Research Square · 1
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Szőlőterületek eróziójának térbeli modellezése a Neszmélyi borvidéken felszínközeli távérzékelés segítségével
2021 · Tünde Takáts, Gáspár Albert · Geodézia és Kartográfia · 1
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A long-term multiscale Critical Zone dataset integrating environmental monitoring and an open-air laboratory: The Alento River Catchment Observatory
2026 · Nunzio Romano, Harry Vereecken, et al. · Earth System Science Data Discussions
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HU-EnviroGrids: A Gridded Environmental Dataset for Spatial Analysis and Modelling at country scale in Hungary
2026 · Katalin Takács, János Mészáros, et al. · Scientific Data
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Workflow of Visualisation of Mole-Rat Burrows Using 3D Datasets Derived from GPR, UAV Surveys, and Interpretative Processing
2026 · Csongor Gedeon, Tünde Takáts, et al. · Geomatics
Does Increasing Number of Field Observations Necessarily Improve the Performance of an ML-Based Soil Parent Material Prediction?
2026 · Tünde Takáts, János Mészáros, et al. · Earth Systems and Environment
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Some thoughts on the opportunities to expand the potential and improve the performance of digital soil mapping in Hungary
2026 · László Pásztor, Gábor Szatmári, et al.
Mapping biological activity of soils using the ‘Life in Undies’ citizen science programme
2026 · Takáts, Tünde, Balog, Kitti, et al. · Figshare
Application of 3D point clouds derived from repeated UAV LiDAR surveys for erosion mapping
2025 · Tünde Takáts, Tibor Zsigmond, et al.
Citizen Science Programs as Scientific Data Collection Approach of Soil Medium
2024 · Tünde Takáts, Péter László, et al.
Options for reducing agricultural ammonia emissions on different soil types
2023 · Kitti Balog, Sándor Koós, et al.
Spatial modelling of vineyard erosion using machine learning methods
2023 · Tünde Takáts, Tünde Takáts, et al.
Population, extension and some functional applications of DOSoReMI.hu, the renewed Hungarian Soil Spatial Data Infrastructure
2022 · Annamária Laborczi, Gábor Szatmári, et al.
Evaluation and improvement of the predictivity of a digital parent material map
2022 · Tünde Takáts, János Mészáros, et al.
Life in undies – Preliminary results of a citizen science data collection targeting soil health assessement in Hungary
2022 · Mátyás Árvai, Péter László, et al.
Accuracy assessment of bare soil map of Hungary based on Sentinel satellite data
2021 · János Mészáros, Tünde Takáts, et al.
Mapping parent material using data originating from Earth Observation as ancillary information
2021 · Tünde Takáts, János Mészáros, et al.
Application of information originating from spatially non-exhaustive ancillary observations in digital soil mapping
2021 · László Pásztor, Gábor Szatmári, et al.
Works count: 30
Citation count: 40
H-index: 3
I10-index: 1
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