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Mátyás Árvai
Observed names:
Arvai, Matyas,
M Árvai,
M. Árvai,
Matyas Arvai,
Matyas ÁRVAI,
Árvai, Mátyás
show all 6
Institutions:
Institute for Soil Sciences,
HUN-REN Centre for Agricultural Research
Observed institutions:
Eötvös Loránd University,
Institute for Soil Sciences,
HUN-REN Centre for Agricultural Research,
Center for Agricultural Research,
Hungarian Research Network,
Technical University of Munich,
Hungarian Academy of Sciences,
University of Pecs,
University of Sopron
show all 9
ORCID:
0000-0002-2405-3858
Observed ORCID:
0000-0002-2405-3858
OpenAlex ID:
A5082933991
Monitoring Invasive Plant Species Using Hyperspectral Remote Sensing Data
2021
·
Levente Papp
, Boudewijn van Leeuwen
, et al.
·
Land
·
91
PDF
Growth-climate relations and the enhancement of drought signals in pedunculate oak (Quercus robur L.) tree-ring chronology in Eastern Hungary
2018
·
M Árvai
, A Morgós
, et al.
·
iForest - Biogeosciences and Forestry
·
43
PDF
No systematic effects of sampling direction on climate-growth relationships in a large-scale, multi-species tree-ring data set
2019
·
Urs Gut
, Mátyás Árvai
, et al.
·
Dendrochronologia
·
26
PDF
Incorporating high-resolution climate, remote sensing and topographic data to map annual forest growth in central and eastern Europe
2023
·
Jernej Jevšenak
, Marcin Klisz
, et al.
·
The Science of The Total Environment
·
25
PDF
Cropmarks in Aerial Archaeology: New Lessons from an Old Story
2021
·
Zoltán Czajlik
, Mátyás Árvai
, et al.
·
Remote Sensing
·
25
PDF
Understanding the Environmental Background of an Invasive Plant Species (Asclepias syriaca) for the Future: An Application of LUCAS Field Photographs and Machine Learning Algorithm Methods
2019
·
Péter Szilassi
, Gábor Szatmári
, et al.
·
Plants
·
24
PDF
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
PDF
High-Resolution Mapping and Assessment of Salt-Affectedness on Arable Lands by the Combination of Ensemble Learning and Multivariate Geostatistics
2022
·
Fatemeh Hateffard
, Kitti Balog
, et al.
·
Agronomy
·
13
PDF
Heterogeneous forest classification by creating mixed vegetation classes using EO-1 Hyperion
2017
·
Márton Deák
, Tamás Telbisz
, et al.
·
International Journal of Remote Sensing
·
12
Dendrochronology and radiocarbon dating of subfossil conifer logs from a peat bog, Maramureş Mts, Romania
2016
·
Mátyás Árvai
, Ionel Popa
, et al.
·
Quaternary International
·
12
Supposed Effects of Wetland Restoration on Hydrological Conditions and the Provisioning Ecosystem Services—A Model-Based Case Study at a Hungarian Lowland Catchment
2023
·
Zsolt Kozma
, Bence Decsi
, et al.
·
Sustainability
·
11
PDF
Monitoring Helicoverpa armigera Damage with PRISMA Hyperspectral Imagery: First Experience in Maize and Comparison with Sentinel-2 Imagery
2024
·
Fruzsina Enikő Sári-Barnácz
, Mihály Zalai
, et al.
·
Remote Sensing
·
8
Indirect Prediction of Salt Affected Soil Indicator Properties through Habitat Types of a Natural Saline Grassland Using Unmanned Aerial Vehicle Imagery
2023
·
László Pásztor
, Katalin Takács
, et al.
·
Land
·
7
PDF
Spatiotemporal Variability of Dendroecological Indicators in Pedunculate Oak ( Quercus robur L.) Tree‐Rings Across Europe in Relation to Species Distribution Models
2025
·
Andrei Popa
, Jernej Jevšenak
, et al.
·
Global Change Biology
·
6
PDF
The palaeoclimatic potential of recent oak tree-ring width chronologies from Southwest Ukraine
2024
·
I. Sochová
, T. Kolář
, et al.
·
Dendrochronologia
·
6
Suitability of Satellite Imagery for Surveillance of Maize Ear Damage by Cotton Bollworm (Helicoverpa armigera) Larvae
2023
·
Fruzsina Enikő Sári-Barnácz
, Mihály Zalai
, et al.
·
Remote Sensing
·
6
PDF
Distinct climate sensitivity and resilience mechanisms of pedunculate oak (Quercus robur L.) across a temperature gradient
2025
·
Marko Stojanović
, Soham Basu
, et al.
·
Forest Ecology and Management
·
5
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
PDF
Optical leaf area assessment supports chlorophyll estimation from UAV images
2025
·
Klára Pokovai
, János Mészáros
, et al.
·
Smart Agricultural Technology
·
4
Practical evaluation of four classification levels of Soil Taxonomy, Hungarian classification and WRB in terms of biomass production in a salt-affected alluvial plot
2021
·
Tibor Tóth
, Bence Gallai
, et al.
·
Geoderma
·
4
PDF
A Dráva durvaszemcsés folyóvízi üledékéből előkerült szubfosszilis uszadékfák dendrokronológiai és faanatómiai vizsgálata
2018
·
Mátyás Árvai
, Eszter Antalfi
, et al.
·
Kaposvári Rippl-Rónai Múzeum Közleményei
·
3
UAV based 3D digital surface model to estimate paleolandscape in high mountainous environment
2016
·
Mészáros, János
, Árvai, Mátyás
, et al.
·
EGUGA
·
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
Soil and tree stem xylem water isotope data from two pan-European sampling campaigns
2025
·
Marco M. Lehmann
, Josie Geris
, et al.
·
Earth system science data
·
2
PDF
Half a century of cancer transition in Hungary: A visualization and assessment of mortality dynamics in the Lexis diagram, 1970–2020
2025
·
András Wéber
, Freddie Bray
, et al.
·
Cancer Epidemiology
·
2
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Works count:
75
Citation count:
387
H-index:
11
I10-index:
11
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