TY  - JOUR
AU  - Sharma, Priya
AU  - Varga, Mónika
AU  - Kerezsi, György
AU  - Kajári, Balázs
AU  - Halasi-Kovács, Béla
AU  - Békefi, Emese
AU  - Gaál, Márta
AU  - Gyalog, Gergő
TI  - Estimating Reed Bed Cover in Hungarian Fish Ponds Using NDVI-Based Remote Sensing Technique
JF  - WATER
J2  - WATER-SUI
VL  - 15
PY  - 2023
IS  - 8
PG  - 16
SN  - 2073-4441
DO  - 10.3390/w15081554
UR  - https://m2.mtmt.hu/api/publication/33754226
ID  - 33754226
N1  - Research Center for Fisheries and Aquaculture, Institute of Aquaculture and Environmental Safety, Hungarian University of Agriculture and Life Sciences, 35 Anna liget, Szarvas, 5540, Hungary            
            Institute of Animal Sciences, Hungarian University of Agriculture and Life Sciences, 40 Guba, Kaposvar, 7400, Hungary            
            Center for Irrigation and Water Management, Institute of Environmental Sciences, Hungarian University of Agriculture and Life Sciences, Anna liget 35, Szarvas, 5540, Hungary            
            Institute of Agricultural Economics Nonprofit Kft. (AKI), 3-5 Zsil u, Budapest, 1093, Hungary            
            Cited By :3            
            Export Date: 25 October 2024            
            Correspondence Address: Sharma, P.; Research Center for Fisheries and Aquaculture, 35 Anna liget, Hungary; email: sharma.priya@uni-mate.hu
AB  - In the EU, aquaculture ponds cover an area of 360,000 ha and are a crucial part of the rural landscape. As many ecosystem services (e.g., habitats for protected wildlife, nutrient cycling, etc.) are correlated with the proportion of reed beds relative to open-water areas, it is important in environmental studies to be able to accurately estimate the extent and the temporal dynamics of reed cover. Here, we propose a method for mapping reed cover in fish ponds from freely available Sentinel-2 imagery using the normalized difference vegetation index (NDVI), which we applied to Hungary, the third largest carp producer in the EU. The dynamics of reed cover in Hungarian fish ponds mapped using satellite imagery show a high degree of agreement with the ground-truth points, and when compared with data reported in the annual aquaculture reports for Hungary, it was found that the calculation of reed cover based on the NDVI-based approach was more consistent than the estimates provided in the report. We discuss possible applications of this remote sensing technique in estimating reed-like vegetation cover in fish ponds and the possible use of the results for climate change studies and ecosystem services assessment.
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Bürgés, József
AU  - Berzi-Nagy, László
AU  - Gyalog, Gergő
TI  - A magyar tógazdasági akvakultúra karbonlábnyoma
JF  - HALÁSZATFEJLESZTÉS
J2  - HALÁSZATFEJLESZTÉS
VL  - 37
PY  - 2020
SP  - 24
EP  - 26
PG  - 3
SN  - 1219-4816
UR  - https://m2.mtmt.hu/api/publication/31612210
ID  - 31612210
LA  - Hungarian
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Kerepeczki, Éva
AU  - Gyalog, Gergő
AU  - Halasi-Kovács, Béla
AU  - Gál, Dénes
AU  - Pekár, Ferenc
TI  - Extenzív halastavak ökológiai értékei és funkciói
JF  - HALÁSZATFEJLESZTÉS
J2  - HALÁSZATFEJLESZTÉS
VL  - 33
PY  - 2010
SP  - 47
EP  - 54
PG  - 8
SN  - 1219-4816
UR  - https://m2.mtmt.hu/api/publication/2521546
ID  - 2521546
LA  - Hungarian
DB  - MTMT
ER  -