Találati lista | Tudóstér

001-es BibID:	BIBFORM117608
035-os BibID:	(WoS)001135261800001 (Scopus)85181237372
Első szerző:	De Oliveira-Júnior, José Francisco
Cím:	Impact of the El Niño on Fire Dynamics on the African Continent / José Francisco de Oliveira-Júnior, David Mendes, Szilard Szabo, Sudhir Kumar Singh, Punyawi Jamjareegulgarn, Kelvy Rosalvo Alencar Cardoso, Laszlo Bertalan, Marcos Vinicius da Silva, Alexandre Maniçoba da Rosa Ferraz Jardim, Jhon Lennon Bezerra da Silva, Gustavo Bastos Lyra, Marcel Carvalho Abreu, Washington Luiz Félix Correia Filho, Amaury de Sousa, Dimas de Barros Santiago, Iwldson Guilherme da Silva Santos, Vafaeva Khristina Maksudovna
Dátum:	2024
ISSN:	2509-9426 2509-9434
Megjegyzések:	Several studies investigated the occurrence of fires in Africa with numerical modeling or applied statistics; however, only a few studies focused on the influence of El Nino on the fire risk using a coupled model. The study aimed to assess the influence of El Nino on wildfire dynamics in Africa using the SPEEDY-HYCOM model. El Nino events in the Eastern Tropical Pacific were classified via sea surface temperature (SST) anomaly based on a predefined climatology between 1961 and 2020 for the entire time series of SST, obtaining linear anomalies. The time series of the SST anomalies was created for the region between 5 degrees N and 5 degrees S and 110 degrees W and 170 degrees W. The events were defined in three consecutive 3-month periods as weak, moderate, and strong El Nino conditions. The Meteorological Fire Danger Index (MFDI) was applied to detect fire hazards. The MFDI simulated by the SPEEDY-HYCOM model for three El Nino categories across different lagged months revealed relevant distinctions among the categories. In the case of 'Weak', the maximum variability of fire risk observed at time lags (0, -3, -6, and -9 months) was primarily in Congo, Gabon, and Madagascar. The 'Moderate' pattern had similar characteristics to 'Weak' except for the lag-6 months and its occurrence in the equatorial zone of Africa. 'Strong' showed a remarkable impact in East Africa, resulting in high fire risk, regardless of time lags. Precipitation and evaporation simulations (SPEEDY-HYCOM) indicated that El Nino categories in Africa need particular attention in the central, southern, and southeastern regions emphasizing the significance of lag-0 and lag-6 (evaporation) as well as lag-0, lag-6, and lag-9 (precipitation). The SPEEDY-HYCOM coupled model in conjunction with the MFDI was efficient in assessing climate variabilities in Africa during El Nino events. This model allows the analysis and prediction of wildfire risks based on El Nino events, providing crucial information for wildfire management and prevention. Its simulations uncover significant variations in risks among different El Nino categories and lagged months, contributing to the understanding and mitigation of this environmental challenge.
Tárgyszavak:	Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk fire risk coupled modelling El Nino categories SPEEDY-HYCOM model
Megjelenés:	Earth Systems and Environment. - [Epub ahead of print] (2024). -
További szerzők:	Mendes, David Szabó Szilárd (1974-) (geográfus) Singh, Sudhir Kumar (1970-) (geográfus) Jamjareegulgarn, Punyawi Cardoso, Kelvy Rosalvo Alencar Bertalan László (1989-) (geográfus) Da Silva, Marcos Vinicius Da Rosa Ferraz Jardim, Alexandre Manicoba Da Silva, Jhon Lennon Bezerra Lyra, Gustavo Bastos Abreu, Marcel Carvalho Filho, Washington Luiz Félix Correia De Sousa, Amaury De Barros Santiago, Dimas Da Silva Santos, Iwldson Guilherme Maksudovna, Vafaeva Khristina
Pályázati támogatás:	K138079 Egyéb RRF2.3.121202200008 Egyéb
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
Borító:
Saját polcon:

001-es BibID:	BIBFORM122075
035-os BibID:	(Scopus)85195669359 (WoS)001244602100001
Első szerző:	Diószegi Gergő
Cím:	A new method for individual treetop detection with low-resolution aerial laser scanned data / Gergő Diószegi, Vanda Éva Molnár, Loránd Attila Nagy, Péter Enyedi, Péter Török, Szilárd Szabó
Dátum:	2024
ISSN:	2363-6203 2363-6211
Megjegyzések:	In the past decade, the use of three-dimensional forest information from airborne Light Detection and Ranging (LiDAR) has become widespread in forest inventories. Accurate Individual Treetop Detection (ITD) and crown boundary delineation using LiDAR data are critical for obtaining precise inventory metrics. To address this need, we introduced a novel growing tree region (GTR)-driven ITD method that utilizes canopy height models (CHM) derived from very low-resolution airborne LiDAR data. The GTR algorithm consists of three key stages: (i) preserving all height layers through incremental cutting and stacking of CHM; (ii) employing a three-layer concept to identify individual treetops; and (iii) refining the detected treetops using a distance-based filter. Our method was tested in five temperate forests across Central Europe and was compared against the widely-used local maxima (LM) search combined with an optimized variable window filtering (VWF) technique. Our results showed that the GTR method outperformed LM with VWF, particularly in forests with high canopy density. The achieved root mean square accuracies were 74% for the matching rate, 19% for commission errors, and 27% for omission errors. In comparison, the LM with the VWF method resulted in a matching rate of 71%, commission errors of 20%, and omission errors of 31%. To facilitate the application of our algorithm, we developed an R package called TREETOPS, which seamlessly integrates with the lidR package, ensuring compatibility with existing treetop-based segmentation methods. By introducing TREETOPS, we provide the most accurate open-source tool for detecting treetops using low-resolution LiDAR-derived CHM.
Tárgyszavak:	Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk CHM-based treetop detection Growing tree region Local maxima Variable window filtering Low-resolution LiDAR Central European forest R
Megjelenés:	Modeling Earth Systems and Environment. - 10 (2024), p. 5225-5240. -
További szerzők:	Molnár Vanda Éva (1994-) (környezetkutató) Nagy Loránd Attila (1993-) (geográfus) Enyedi Péter (1982-) (környezettudós) Török Péter (1979-) (biológus-ökológus) Szabó Szilárd (1974-) (geográfus)
Pályázati támogatás:	K138079 NKFIH KKP 144068 NKFIH
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
Borító:
Saját polcon: