A dataset on the geographical distribution, bounds, and reed cover of Hungarian fishponds

This paper presents geospatial datasets, figures, and tables illustrating i) the location and total area of fish farms under cultivation; and ii) the spatiotemporal dynamics of reed cover in Hungarian fishponds generated from the published study of Sharma et al., [1]. Preliminary data for fish farm...

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Main Authors: Priya Sharma, Mónika Varga, György Kerezsi, Balázs Kajári, Béla Halasi-Kovács, Emese Békefi, Márta Gaál, Gergő Gyalog
Format: Article
Language:English
Published: Elsevier 2023-08-01
Series:Data in Brief
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340923004730
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author Priya Sharma
Mónika Varga
György Kerezsi
Balázs Kajári
Béla Halasi-Kovács
Emese Békefi
Márta Gaál
Gergő Gyalog
author_facet Priya Sharma
Mónika Varga
György Kerezsi
Balázs Kajári
Béla Halasi-Kovács
Emese Békefi
Márta Gaál
Gergő Gyalog
author_sort Priya Sharma
collection DOAJ
description This paper presents geospatial datasets, figures, and tables illustrating i) the location and total area of fish farms under cultivation; and ii) the spatiotemporal dynamics of reed cover in Hungarian fishponds generated from the published study of Sharma et al., [1]. Preliminary data for fish farm locations were obtained from the Institute of Agricultural Economics (AKI), followed by significant refinement based on high-resolution Google Earth Pro-imagery. The fishpond area dataset was validated against the values reported in annual statistical reports on aquaculture. In order to map reed vegetation freely available Sentinel-2 imagery (between 2017 and 2021) was accessed from the Copernicus Open Access Hub [2] and emergent macrophyte cover was classified using the NDVI-based threshold values [1]. Scientists, policymakers, and fish farmers can all benefit from such geospatial datasets. It could be used to monitor the extent of fishponds in Hungary and to design farm-level reed management plans to optimize the provision of ecological and production services.
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spelling doaj.art-34bf8191dd3a4e239c3c14d5bc8052a32023-08-13T04:54:04ZengElsevierData in Brief2352-34092023-08-0149109354A dataset on the geographical distribution, bounds, and reed cover of Hungarian fishpondsPriya Sharma0Mónika Varga1György Kerezsi2Balázs Kajári3Béla Halasi-Kovács4Emese Békefi5Márta Gaál6Gergő Gyalog7Research Center for Fisheries and Aquaculture, Institute of Aquaculture and Environmental Safety, Hungarian University of Agriculture and Life Sciences, 35 Anna-liget, Szarvas 5540, Hungary; Corresponding author.Institute of Animal Sciences, Hungarian University of Agriculture and Life Sciences, 40 Guba, Kaposvar 7400, HungaryResearch Center for Irrigation and Water Management, Institute of Environmental Sciences, Hungarian University of Agriculture and Life Sciences, Anna-liget 35, Szarvas 5540, HungaryResearch Center for Irrigation and Water Management, Institute of Environmental Sciences, Hungarian University of Agriculture and Life Sciences, Anna-liget 35, Szarvas 5540, HungaryResearch Center for Fisheries and Aquaculture, Institute of Aquaculture and Environmental Safety, Hungarian University of Agriculture and Life Sciences, 35 Anna-liget, Szarvas 5540, HungaryResearch Center for Fisheries and Aquaculture, Institute of Aquaculture and Environmental Safety, Hungarian University of Agriculture and Life Sciences, 35 Anna-liget, Szarvas 5540, HungaryInstitute of Agricultural Economics (AKI), 3-5 Zsil u., Budapest 1093, HungaryResearch Center for Fisheries and Aquaculture, Institute of Aquaculture and Environmental Safety, Hungarian University of Agriculture and Life Sciences, 35 Anna-liget, Szarvas 5540, HungaryThis paper presents geospatial datasets, figures, and tables illustrating i) the location and total area of fish farms under cultivation; and ii) the spatiotemporal dynamics of reed cover in Hungarian fishponds generated from the published study of Sharma et al., [1]. Preliminary data for fish farm locations were obtained from the Institute of Agricultural Economics (AKI), followed by significant refinement based on high-resolution Google Earth Pro-imagery. The fishpond area dataset was validated against the values reported in annual statistical reports on aquaculture. In order to map reed vegetation freely available Sentinel-2 imagery (between 2017 and 2021) was accessed from the Copernicus Open Access Hub [2] and emergent macrophyte cover was classified using the NDVI-based threshold values [1]. Scientists, policymakers, and fish farmers can all benefit from such geospatial datasets. It could be used to monitor the extent of fishponds in Hungary and to design farm-level reed management plans to optimize the provision of ecological and production services.http://www.sciencedirect.com/science/article/pii/S2352340923004730AquacultureFishpondsGeographic information system (GIS)HungaryNormalized difference vegetation index (NDVI)Reed cover
spellingShingle Priya Sharma
Mónika Varga
György Kerezsi
Balázs Kajári
Béla Halasi-Kovács
Emese Békefi
Márta Gaál
Gergő Gyalog
A dataset on the geographical distribution, bounds, and reed cover of Hungarian fishponds
Data in Brief
Aquaculture
Fishponds
Geographic information system (GIS)
Hungary
Normalized difference vegetation index (NDVI)
Reed cover
title A dataset on the geographical distribution, bounds, and reed cover of Hungarian fishponds
title_full A dataset on the geographical distribution, bounds, and reed cover of Hungarian fishponds
title_fullStr A dataset on the geographical distribution, bounds, and reed cover of Hungarian fishponds
title_full_unstemmed A dataset on the geographical distribution, bounds, and reed cover of Hungarian fishponds
title_short A dataset on the geographical distribution, bounds, and reed cover of Hungarian fishponds
title_sort dataset on the geographical distribution bounds and reed cover of hungarian fishponds
topic Aquaculture
Fishponds
Geographic information system (GIS)
Hungary
Normalized difference vegetation index (NDVI)
Reed cover
url http://www.sciencedirect.com/science/article/pii/S2352340923004730
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