@article{MTMT:34822968,
	title = {Crop type classification and spatial mapping in River Nile and Northern State, Sudan, using Sentinel-2 satellite data and field observation},
	url = {https://m2.mtmt.hu/api/publication/34822968},
	author = {Yasin, Emad Hassan Elawad and Sharif, M.M. and Yahia, M.Y.A. and Othman, A.Y. and Ibrahim, A.O. and Kheiry, M.A. and Musa, M.},
	doi = {10.15243/jdmlm.2024.113.5997},
	journal-iso = {JOURNAL OF DEGRADED AND MINING LANDS MANAGEMENT},
	journal = {JOURNAL OF DEGRADED AND MINING LANDS MANAGEMENT},
	volume = {11},
	unique-id = {34822968},
	issn = {2339-076X},
	abstract = {Maintaining productive farmland necessitates precise crop mapping and identification. While satellite remote sensing makes it possible to generate such maps, there are still issues to resolve, such as how to choose input data and the best classifier algorithm, especially in areas with scarce field data. Accurate assessments of the land used for farming are a crucial part of national food supply and production accounting in many African countries, and to this end, remote sensing tools are being increasingly put to use. The aim of this study was to assess the potentiality of Sentinel-2 to distinguish and discriminate crop species in the study area and constraints on accurately mapping cropping patterns in the winter season in River Nile and Northern State, Sudan. The research utilized Sentinel-2 Normalized Different Vegetation Index (NDVI) at 10 m resolution, unsupervised and supervised classification method with ground sample and accuracy assessment. The results of the study found that the signatures of grain sorghum, wheat, okra, Vicia faba, alfalfa, corn, haricot, onion, potato, tomato, lupine, tree cover, and garlic have clear distinctions, permitting an overall accuracy of 87.38%, with trees cover, onion, wheat, potato, garlic, alfalfa, tomato, lupine and Vicia faba achieving more than 87% accuracy. Major mislabeling problems occurred primarily in irrigated areas for grain sorghum, okra, corn, and haricot, in wooded areas comprised of small parcels of land. The research found that high-resolution temporal images combined with ground data had potential and utility for mapping cropland at the field scale in the winter. © 2024 Brawijaya University. All rights reserved.},
	keywords = {remote sensing; NDVI; Sentinel-2; Spatial mapping; crop type classification; winter cropping patterns},
	year = {2024},
	eissn = {2502-2458},
	pages = {5997-6007}
}

@inproceedings{MTMT:34777037,
	title = {The Use of Geothermal Energy for Sustainable Development and Economic Prosperity},
	url = {https://m2.mtmt.hu/api/publication/34777037},
	author = {KOUKI, Nadjat and Vityi, Andrea},
	booktitle = {FENNTARTHATÓSÁGI ÁTMENET: KIHÍVÁSOK ÉS INNOVATÍV MEGOLDÁSOK - Nemzetközi tudományos konferencia a Magyar Tudomány Ünnepe alkalmából},
	doi = {10.35511/978-963-334-499-6-Kouki-Vityi},
	unique-id = {34777037},
	year = {2024},
	pages = {365-379},
	orcid-numbers = {Vityi, Andrea/0000-0002-2035-1866}
}

@article{MTMT:34772654,
	title = {ASSESSMENT OF THE ROLE OF GUM ARABIC PRODUCERS' ASSOCIATIONS (GAPAS) IN REHABILITATION OF GUM ARABIC BELT: CASE OF NORTH AND WEST KORDOFAN STATES, SUDAN},
	url = {https://m2.mtmt.hu/api/publication/34772654},
	author = {Elzubair, A.E.M. and Yasin, Emad Hassan Elawad and Dafa, Alla D.A.M. and Sanjak, E.},
	doi = {10.36868/IJCS.2024.01.06},
	journal-iso = {INTERNATIONAL JOURNAL OF CONSERVATION SCIENCE},
	journal = {INTERNATIONAL JOURNAL OF CONSERVATION SCIENCE},
	volume = {15},
	unique-id = {34772654},
	issn = {2067-533X},
	abstract = {The research aimed to investigate the involvement of Gum Arabic Producers' Associations (GAPAs) in the rehabilitation of the gum Arabic belt in North and West Kordofan States, Sudan. Data were collected through social surveys of household heads, interviews, and observations, as well as remote sensing images from 1998, 2009, and 2020. Secondary data were obtained from different literature sources. The data were analysed using SPSS and ERDAS software. The results of the social survey showed that the establishment of GAPAs coincided with an increase in gum-producing trees, but GAPAs did not directly contribute to the rehabilitation process. Instead, the rehabilitation efforts were carried out through collaborations between the Forests National Corporation (FNC), multi-donor projects, and GAPAs. The remote sensing results showed changes in vegetation cover over the study period, with an increase in dense, moderate, and sparse vegetation cover classes. The research concluded that GAPAs have a significant impact on the enhancement of vegetation cover. External institutions played a role in the restocking of gum trees. It was recommended that GAPAs be strengthened through capacity building and the adoption of technology to improve gum production. FNC should encourage micro-financial institutions to support rehabilitation projects, utilise mapping to protect the gum gardens, and monitor the rehabilitation processes. © 2024 Romanian Inventors Forum. All rights reserved.},
	keywords = {remote sensing; rehabilitation; Assessment; Sudan; Contribution; Gum Arabic belt; Gum Arabic Producers Associations (GAPAs)},
	year = {2024},
	eissn = {2067-8223},
	pages = {461-478}
}

@{MTMT:34766506,
	title = {Towards Integrated and Sustainable Water Management in Water-scarce Arid Environments: Case of Sudan},
	url = {https://m2.mtmt.hu/api/publication/34766506},
	author = {Abdelbagi, Y.F. Adam and Osman, Mohamed},
	booktitle = {Hydrology - Current Research and Future Directions},
	unique-id = {34766506},
	year = {2024}
}

@article{MTMT:34766483,
	title = {Fostering environmental and resources management in Sudan through geo-information systems: A prospective approach for sustainability},
	url = {https://m2.mtmt.hu/api/publication/34766483},
	author = {Osman, Mohamed and Yasin, Emad Hassan Elawad},
	doi = {10.15243/jdmlm.2024.113.5647},
	journal-iso = {JOURNAL OF DEGRADED AND MINING LANDS MANAGEMENT},
	journal = {JOURNAL OF DEGRADED AND MINING LANDS MANAGEMENT},
	volume = {11},
	unique-id = {34766483},
	issn = {2339-076X},
	abstract = {Environmental and land resource degradation is a serious problem that poses significant challenges in Sudan and worldwide generally. Despite the fact that the physical environment components are the underlying economic resources and production assets in developing countries like Sudan, and they directly affect the nation’s socioeconomic aspects of income, health, water availability, food security, and many others. The interventions and protective measures were insufficient to meet the magnitude and extent of the ongoing degradation and resource wastage. Based on the analysis of the indicators and trends of the environmental and natural resources management ‘status quo’, this paper is an attempt to overview and investigate the state of environmental and natural resources management and governance in Sudan. Further discussion delves into the utilization of geo-information systems in Sudan’s environmental and resource management by analyzing and reviewing “some previous case studies” where GIS approaches and techniques were deployed. The paper further strives to explore and highlight the opportunities and potential contributions of GIS in the context of Sudan’s environmental and resource management. Lessons learned from the previous experiences were considered, and the recommendations for the future use of a tailored geo-information system in Sudan context were highlighted and suggested to support better practices and sustainability insights for environmental governance and resources management.},
	year = {2024},
	eissn = {2502-2458},
	pages = {5647-5657},
	orcid-numbers = {Osman, Mohamed/0009-0000-9164-2102}
}

@article{MTMT:34758855,
	title = {Projection of the Carbon Balance of the Hungarian Forestry and Wood Industry Sector Using the Forest Industry Carbon Model},
	url = {https://m2.mtmt.hu/api/publication/34758855},
	author = {Borovics, Attila and Király, Éva Ilona and Kottek, Péter},
	doi = {10.3390/f15040600},
	journal-iso = {FORESTS},
	journal = {FORESTS},
	volume = {15},
	unique-id = {34758855},
	issn = {1999-4907},
	abstract = {As forest-based climate change mitigation has become a crucial element of international climate policy it is of increasing importance to understand the processes leading to the carbon offsetting capacity of the sector. In our study, we assessed the climate benefits of contrasting forest management strategies: decreasing harvest and enlarging the forest carbon stock, or increasing harvest to increase carbon uptake, wood product carbon pools, and substitution effects. We developed the Forest Industry Carbon Model (FICM) which is a new carbon accounting tool covering forest biomass, dead organic matter, soil, and harvested wood product pools, as well as avoided emissions through product and energy substitution. We modeled the carbon balance of the Hungarian forest industry under three different scenarios. In the business as usual (BAU) scenario, we assumed no changes in the current harvest and afforestation levels. In the extensification scenario, we assumed that the harvest and afforestation levels drop to half, while in the intensification scenario, we assumed an increase in afforestation, improved industrial wood assortments, and a gradual increase in logging, reaching the highest level as per sustainability criteria by 2050. Our results show that the intensification scenario is characterized by the largest net removals and the maximized product and energy substitution effects. By 2050, the net forest industry carbon balance reaches −8447 kt CO2 eq under the BAU scenario, while −7011 kt CO2 eq is reached under the extensification scenario and −22,135 kt CO2 eq is reached under the intensification scenario. Although substitution effects are not accounted for under the land-based (LULUCF) sector in the greenhouse gas inventory, the emission reductions in the industry and energy sectors have beneficial effects on the national carbon balance. Modeling results show that the 2030 LULUCF greenhouse gas removal target set by EU legislation for Hungary is reached under the intensification scenario. To achieve this outcome, widespread innovation is needed in the wood sector. The modeling results show that nonutilization of forests can only be a very short-term solution; however, its favorable effects will be reversed by 2050 resulting in additional emissions compared to the BAU scenario.},
	year = {2024},
	eissn = {1999-4907}
}

@article{MTMT:34753545,
	title = {Forest Carbon Modeling in Poplar and Black Locust Short Rotation Coppice Plantation in Hungary},
	url = {https://m2.mtmt.hu/api/publication/34753545},
	author = {Mulyana, Budi and Polgár, András and Vityi, Andrea},
	doi = {10.23960/jsl.v12i2.883},
	journal-iso = {J SYLVA LESTARI},
	journal = {JURNAL SYLVA LESTARI},
	volume = {12},
	unique-id = {34753545},
	issn = {2339-0913},
	abstract = {Forest carbon dynamic modeling for estimating the carbon stock in short rotation coppice bioenergy plantation in Hungary will be vital for better comprehending the role of black locust (Robinia pseudoacacia) and poplar (Populus sp.) in carbon dioxide sequestration from the atmosphere. The research aims were to estimate the potential carbon stock and describe the carbon distribution of the short rotation coppice bioenergy plantation above and below ground. Various sources were used to acquire parameterization data for developing forest carbon dynamic models. CO2FIX modeling V.3.2 was utilized in the data analysis to estimate the total carbon stock in biomass, soil, harvested wood products, and bioenergy compartments. Modeling has been around for 45 years. In this research, the total carbon stock of black locust and poplar at the end of the simulation period was 64.13 and 131.08 MgC.ha-1, respectively. The average carbon allocation above and below ground for black locust and poplar was 0.76, 19.76, 1.80, and 21.67 MgC.ha-1, respectively. In conclusion, poplar outperformed black locust regarding carbon storage in the short rotation coppice bioenergy plantation. Below ground carbon allocation was much higher than above ground. Therefore, more attention should be paid on below ground allocation through environmentally friendly soil management.Keywords: bioenergy plantation, carbon dynamics, climate change mitigation, CO2FIX model, fast growing species},
	keywords = {climate change mitigation; Carbon dynamics; bioenergy plantation; CO2FIX model; Fast growing species},
	year = {2024},
	eissn = {2549-5747},
	pages = {324-337},
	orcid-numbers = {Vityi, Andrea/0000-0002-2035-1866}
}

@article{MTMT:34720211,
	title = {Erdőpedagógia és kommunikáció megjelenése az erdész gyakorlatban},
	url = {https://m2.mtmt.hu/api/publication/34720211},
	author = {Varga, Rita and Horváth, Tamás},
	journal-iso = {ERDÉSZETI LAPOK},
	journal = {ERDÉSZETI LAPOK},
	volume = {159},
	unique-id = {34720211},
	issn = {1215-0398},
	year = {2024},
	pages = {75-77}
}

@{MTMT:34647937,
	title = {The appearance of wild boar in the coastal settlements of Lake Balaton and its tourism implications},
	url = {https://m2.mtmt.hu/api/publication/34647937},
	author = {Nagy, Eszter and Tari, Tamás},
	booktitle = {VIII. TURIZMUS ÉS BIZTONSÁG NEMZETKÖZI TUDOMÁNYOS KONFERENCIA ABSZTRAKT KÖTET},
	unique-id = {34647937},
	year = {2024},
	pages = {50},
	orcid-numbers = {Tari, Tamás/0000-0002-6459-6945}
}

@article{MTMT:34576792,
	title = {Exploring the Mediterranean tsunami research landscape: scientometric insights and future prospects},
	url = {https://m2.mtmt.hu/api/publication/34576792},
	author = {Laksono, Fx Anjar Tri and Mishra, Manoranjan and Mulyana, Budi and Kovács, János},
	doi = {10.1186/s40677-024-00269-6},
	journal-iso = {GEOENVIRONMENTAL DISASTERS},
	journal = {GEOENVIRONMENTAL DISASTERS},
	volume = {11},
	unique-id = {34576792},
	year = {2024},
	eissn = {2197-8670},
	orcid-numbers = {Laksono, Fx Anjar Tri/0000-0002-6061-6136; Kovács, János/0000-0001-7742-5515}
}