Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Andrej Halabuk"'
Autor:
Jochem Verrelst, Andrej Halabuk, Clement Atzberger, Tobias Hank, Stefanie Steinhauser, Katja Berger
Publikováno v:
Ecological Indicators, Vol 155, Iss , Pp 110911- (2023)
Non-photosynthetic vegetation (NPV) is considered a key quantifiable variable in the context of new spaceborne imaging spectroscopy missions. Knowledge of NPV is essential for all terrestrial ecosystems, and its mapping is beneficial for agriculture
Externí odkaz:
https://doaj.org/article/4eb979182c17408cbcb56860a91522db
Autor:
Tomáš Rusňák, Tomáš Kasanický, Peter Malík, Ján Mojžiš, Ján Zelenka, Michal Sviček, Dominik Abrahám, Andrej Halabuk
Publikováno v:
Remote Sensing, Vol 15, Iss 13, p 3414 (2023)
Multitemporal crop classification approaches have demonstrated high performance within a given season. However, cross-season and cross-region crop classification presents a unique transferability challenge. This study addresses this challenge by adop
Externí odkaz:
https://doaj.org/article/93f5b47882b64d6f9e4c30a649a0f865
Autor:
Lenka Lackoóvá, Juraj Lieskovský, Fahime Nikseresht, Andrej Halabuk, Hubert Hilbert, Klaudia Halászová, Fatemeh Bahreini
Publikováno v:
Remote Sensing, Vol 15, Iss 13, p 3316 (2023)
Remote sensing (RS) has revolutionized field data collection processes and provided timely and spatially consistent acquisition of data on the terrestrial landscape properties. This research paper investigates the relationship between Wind Erosion (W
Externí odkaz:
https://doaj.org/article/8857adb3fc5e45c0a05ba60af4ec9cf3
Publikováno v:
Remote Sensing, Vol 14, Iss 4, p 971 (2022)
Recognition of invasive species and their distribution is key for managing and protecting native species within both natural and man-made ecosystems. Small woody features (SWF) represent fragmented patches or narrow linear tree features that are of h
Externí odkaz:
https://doaj.org/article/b4fb7b1eb20f4b52b31a7b68b74dbaab
Autor:
Katja Berger, Tobias Hank, Andrej Halabuk, Juan Pablo Rivera-Caicedo, Matthias Wocher, Matej Mojses, Katarina Gerhátová, Giulia Tagliabue, Miguel Morata Dolz, Ana Belen Pascual Venteo, Jochem Verrelst
Publikováno v:
Remote Sensing, Vol 13, Iss 22, p 4711 (2021)
Non-photosynthetic vegetation (NPV) biomass has been identified as a priority variable for upcoming spaceborne imaging spectroscopy missions, calling for a quantitative estimation of lignocellulosic plant material as opposed to the sole indication of
Externí odkaz:
https://doaj.org/article/b67b72b2c2b04aa3b26cbc5ac254af74
Autor:
Lenka Botyanszka, Marek Zivcak, Erik Chovancek, Oksana Sytar, Viliam Barek, Pavol Hauptvogel, Andrej Halabuk, Marian Brestic
Publikováno v:
Agronomy, Vol 10, Iss 9, p 1275 (2020)
To assess the reliability and sensitivity of non-invasive optical methods to detect the early effects of water deficit in the field, we analyzed the time-series of non-invasive measurements obtained in a dry season in a representative collection of w
Externí odkaz:
https://doaj.org/article/e1890279416249a0bbf9d9f4641759dd
Publikováno v:
Remote Sensing, Vol 7, Iss 5, Pp 6107-6132 (2015)
The main requirement for preserving European hay meadows in good condition is through prerequisite cut management. However, monitoring these practices on a larger scale is very difficult. Our study analyses the use of MODIS vegetation indices product
Externí odkaz:
https://doaj.org/article/b19dc41ef09148cfbac74320ef283174
Autor:
Ioannis Manakos, Monika Tomaszewska, Ioannis Gkinis, Olga Brovkina, Lachezar Filchev, Levent Genc, Ioannis Z. Gitas, Andrej Halabuk, Melis Inalpulat, Anisoara Irimescu, Georgi Jelev, Konstantinos Karantzalos, Thomas Katagis, Lucie Kupková, Mykola Lavreniuk, Minučer Mesaroš, Denis Mihailescu, Mihai Nita, Tomas Rusnak, Premysl Stych, Frantisek Zemek, Jana Albrechtová, Petya Campbell
Publikováno v:
Remote Sensing, Vol 10, Iss 12, p 1967 (2018)
Land cover is one of the key terrestrial variables used for monitoring and as input for modelling in support of achieving the United Nations Strategical Development Goals. Global and Continental Land Cover Products (GCLCs) aim to provide the required
Externí odkaz:
https://doaj.org/article/65e06e1a005b45bfa79ec6864cc884d5
Autor:
Tomáš Rusňák, Andrej Halabuk
Reference data for article: Crop Mapping Without labels: Investigating Temporal and Spatial Transferability of Crop Classification Models Using a 5-year Sentinel-2 Series and Machine Learning. File: Reference_data.csv - contains data used for trainin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59fc9405636ae67c959d4cc8dcbe267a