Zobrazeno 1 - 10
of 206
pro vyhledávání: '"Szilárd Szabó"'
Autor:
Vanda Éva Abriha-Molnár, Szilárd Szabó, Tibor Magura, Béla Tóthmérész, Dávid Abriha, Bianka Sipos, Edina Simon
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract The amount of dust deposited on tree leaves is a cost-effective indicator of air quality. Our aim was to explore the leaf surface deposition, and chlorophyll content of leaves along a road section that started at an intersection, and ended i
Externí odkaz:
https://doaj.org/article/ac35fbdf4d0c4982a7584af9bc6e1f42
Publikováno v:
Remote Sensing in Ecology and Conservation, Vol 10, Iss 2, Pp 203-219 (2024)
Abstract Species composition of forests is a very important component from the point of view of nature conservation and forestry. We aimed to identify 10 tree species in a hilly forest stand using a hyperspectral aerial image with a particular focus
Externí odkaz:
https://doaj.org/article/73471c17af164456b108be059986dd78
Publikováno v:
Plants, People, Planet, Vol 6, Iss 2, Pp 470-489 (2024)
Societal Impact statement Reduced fungicide use lowers environmental pollution and enables safer food production. The usage of fungicides in apple orchards can be reduced through the application of sanitation practices which decrease the inoculum sou
Externí odkaz:
https://doaj.org/article/15f25417195b4a628f3b49accf751295
Autor:
Dávid Abriha, Szilárd Szabó
Publikováno v:
International Journal of Digital Earth, Vol 16, Iss 1, Pp 1707-1724 (2023)
Building extraction from remote sensing data is an important topic in urban studies and the deep learning methods have an increasing role due to their minimal requirements in training data to reach outstanding performance. We aimed to investigate the
Externí odkaz:
https://doaj.org/article/e76064b65d374a88bb016d418fe74146
Autor:
Safwan Mohammed, Abid Rashid Gill, Kaushik Ghosal, Main Al-Dalahmeh, Karam Alsafadi, Szilárd Szabó, Judit Oláh, Ali Alkerdi, Akasairi Ocwa, Endre Harsanyi
Publikováno v:
Environmental Science and Ecotechnology, Vol 18, Iss , Pp 100312- (2024)
Reducing environmental pollution is a critical goal in global environmental economics and economic development. The European Union (EU) faces environmental challenges due to its development activities. Here we present a comprehensive approach to asse
Externí odkaz:
https://doaj.org/article/9c7074e7e642443ba5d04e401718933e
Autor:
Akasairi Ocwa, Endre Harsanyi, Adrienn Széles, Imre János Holb, Szilárd Szabó, Tamás Rátonyi, Safwan Mohammed
Publikováno v:
Agriculture & Food Security, Vol 12, Iss 1, Pp 1-18 (2023)
Abstract Introduction Crop production contribution to food security faces unprecedented challenge of increasing human population. This is due to the decline in major cereal crop yields including maize resulting from climate change and declining soil
Externí odkaz:
https://doaj.org/article/1fa0463dfbb14b5eb3239294fc4ef900
Publikováno v:
Geocarto International, Vol 38, Iss 1 (2023)
Externí odkaz:
https://doaj.org/article/890140940dbf4c6cb07acdef7dc3eaa9
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract Tree species’ composition of forests is essential in forest management and nature conservation. We aimed to identify the tree species structure of a floodplain forest area using a hyperspectral image. We proposed an efficient novel strateg
Externí odkaz:
https://doaj.org/article/fd7a3183223d40ab8ae6b1ce71591805
Autor:
Mihai I. Pop, Marissa A. Dyck, Silviu Chiriac, Berde Lajos, Szilárd Szabó, Cristian I. Iojă, Viorel D. Popescu
Publikováno v:
Conservation Science and Practice, Vol 5, Iss 3, Pp n/a-n/a (2023)
Abstract Livestock depredation by brown bears is one of the main source of human–wildlife conflict in rural Eastern Europe. Thus, identifying environmental and anthropogenic drivers of human–bear conflict, and developing spatial predictions for p
Externí odkaz:
https://doaj.org/article/49bc2460a044495b9213b0a3cc8924de
Publikováno v:
Heliyon, Vol 9, Iss 3, Pp e14045- (2023)
Deriving the thematic accuracy of models is a fundamental part of image classification analyses. K-fold cross-validation (KCV), as an accuracy assessment technique, can be biased because existing built-in algorithms of software solutions do not handl
Externí odkaz:
https://doaj.org/article/69a57740d3c74a689419b1f548b059c4