2014
DOI: 10.30536/j.ijreses.2013.v10.a1839
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Fishpond Aquaculture Inventory in Maros Regency of South Sulawesi Province

Abstract: Currently, fishpond aquaculture becomes an interesting business for investors because of its profit,  and  a  source  of  livelihood  for  coastal  communities.  Inventory  and  monitoring  of  fishpond aquaculture provide important baseline data to determine the policy of expansion and revitalization of the fishpond. The aim of this research was to conduct an inventory and monitoring of fishpond area inMaros regency of South Sulawesi province using Satellite Pour l’Observation de la Terre (SPOT -4) and Advanc… Show more

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Cited by 4 publications
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“…For example, in 2008, Maros Regency reached 20,197.93 tons of fish production, 68.3% of capture fisheries, 26.4% of fishponds aquaculture, and the remaining 5.3% of other fisheries production. Therefore, fishponds aquaculture had a significant role in determining the fisheries production in Maros [8]. Based on the description above, it is necessary to study the content of organic matter, total N, and phosphorus in water entering estuaries, including seawater, pond wastewater, river water, and the feasibility of estuarine water as a source of raw water for pond cultivation.…”
Section: Maros Is One Of the Districts In South Sulawesimentioning
confidence: 99%
“…For example, in 2008, Maros Regency reached 20,197.93 tons of fish production, 68.3% of capture fisheries, 26.4% of fishponds aquaculture, and the remaining 5.3% of other fisheries production. Therefore, fishponds aquaculture had a significant role in determining the fisheries production in Maros [8]. Based on the description above, it is necessary to study the content of organic matter, total N, and phosphorus in water entering estuaries, including seawater, pond wastewater, river water, and the feasibility of estuarine water as a source of raw water for pond cultivation.…”
Section: Maros Is One Of the Districts In South Sulawesimentioning
confidence: 99%
“…Access to data from highresolution, continuous-monitoring missions such as Landsat or the European Sentinel-1 and -2 enables the processing and analysis of long-term time series [21]. However, cloud cover limits seamless data acquisition and data availability with passive satellite sensors and makes it difficult to identify aquacultures with multispectral optical sensors [22][23][24][25][26] as a result of the lack of available data in cloud-prone regions. Active radar sensors emit electromagnetic waves in the longer microwave ranges, which are hardly influenced by the atmosphere and thus enable weather-independent mapping of the Earth's surface [19].…”
Section: Extracting Aquaculture Using Earth Observationmentioning
confidence: 99%
“….......... 1) Klasifikasi maximum likelihood merupakan suatu metode yang digunakan dengan mempertimbangkan berbagai faktor diantaranya adalah nilai suatu pixel yang memiliki nilai yang sama akan dikelompokan kedalam nilai pixel yang sama pula atau dengan kata lainMarini et al (2014) menyatakan bahwa klasifikasi supervised maximum likelihood merupakan klasifikasi yang berpedoman pada nilai piksel yang sudah dikategori obyeknya atau dibuat dalam training sampel untuk masing-masing obyek penutup lahan.…”
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