Aquaculture Pond Precise Mapping in Perancak Estuary, Bali, Indonesia

Gusmawati, Niken Financia; Zhi, Cheng; Soulard, Benoît; Lemonnier, Hugues; Selmaoui-Folcher, Nazha

doi:10.2112/si75-128.1

Cited by 11 publications

(8 citation statements)

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“…This task is nevertheless really time-consuming and can lead to errors because of human interpretations. Thus, next step in improving the present work will be to automate activity criteria detection, as already implemented for pond detection by image analysis (Gusmawati et al, 2016). Due to sub-metric image spatial resolutions, activity criteria, except "water" were detected in a quite confident manner.…”

Section: Criteria Detection By Image Analysismentioning

confidence: 98%

“…Within this framework, developing tools to assess shrimp pond status (ecological, sanitary, environmental pressure) and its resilience over time (historical or future) is pivotal to support decision makers in the elaboration of long-term planning of activity. Geographic information systems (GIS) and remote sensing tools using very high spatial resolution (VHSR) images have been already implemented for accurate mapping of aquaculture facilities Virdis 2014;Gusmawati et al, 2016) and for environmental surveys of aquaculture systems (e.g. Meaden and Aguilar-Manjarrez, 2013).…”

Section: Introductionmentioning

confidence: 99%

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Surveying shrimp aquaculture pond activity using multitemporal VHSR satellite images - case study from the Perancak estuary, Bali, Indonesia

Gusmawati

Soulard²,

Selmaoui-Folcher

et al. 2018

Marine Pollution Bulletin

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From the 1980's, Indonesian shrimp production has continuously increased through a large expansion of cultured areas and an intensification of the production. As consequences of diseases and environmental degradations linked to this development, there are currently 250,000ha of abandoned ponds in Indonesia. To implement effective procedure to undertake appropriate aquaculture ecosystem assessment and monitoring, an integrated indicator based on four criteria using very high spatial optical satellite images, has been developed to discriminate active from abandoned ponds. These criteria were: presence of water, aerator, feeding bridge and vegetation. This indicator has then been applied to the Perancak estuary, a production area in decline, to highlight the abandonment dynamic between 2001 and 2015. Two risk factors that could contribute to explain dynamics of abandonment were identified: climate conditions and pond locations within the estuary, suggesting that a spatial approach should be integrated in planning processes to operationalize pond rehabilitation.

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Section: Criteria Detection By Image Analysismentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Surveying shrimp aquaculture pond activity using multitemporal VHSR satellite images - case study from the Perancak estuary, Bali, Indonesia

Gusmawati

Soulard²,

Selmaoui-Folcher

et al. 2018

Marine Pollution Bulletin

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“…Untuk pengelolaan budidaya bandeng yang lestari dan berkelanjutan, informasi mengenai data tambak merupakan langkah awal untuk penentuan strategi yang akan diimplentasikan. Namun, pendataan dan pemantauan tambak langsung secara individual membutuhkan waktu yang lama dan biaya yang tinggi mengingat luasnya hamparan tambak (Gusmawati et al, 2016). Oleh karena itu dibutuhkan tool yang dapat digunakan untuk membantu dalam pemantauan tambak.…”

Section: Pendahuluanunclassified

Pemanfaatan Data Penginderaan Jauh Resolusi Tinggi Untuk Pemetaan Tambak Di Kecamatan Ujung Pangkah, Gresik

Gusmawati¹,

Andayani²,

Muawanah³

2016

Jurnal Kelautan Nasional

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Budidaya air payau, terutama bandeng, telah dikenal sejak tahun 1400-an dengan menggunakan sistem tradisional. Peningkatan kebutuhan protein hewani membuat teknologi budidaya berkembang dan lahan produksi semakin luas. Untuk mendukung produksi perikanan yang lestari, maka pengumpulan informasi dan pendataan kawasan tambak merupakan hal yang sangat penting. Citra satelit resolusi tinggi yang diintegrasikan dengan Sistem Informasi Geografis (SIG) dapat digunakan untuk pemantauan lahan tambak. Bersama dengan pemetaan partisipatif oleh berbagai pemangku kepentingan, maka batas lahan tambak, permasalahan yang terdapat dalam kawasan budidaya tambak dan kemungkinan solusinya dapat diidentifikasi. Pemetaan Partisipatif-SIG (P-SIG) dapat menjadi metode yang tepat untuk menggalang partisipasi para pemangku kepentingan dan menangkap informasi baru di kawasan tambak Ujung Pangkah,Kabupaten Gresik seperti rendahnya kualitas air, terjadinya penyakit udang dan kematian massal udang, harga benih bandeng yang mahal, fluktuasi harga jual bandeng, perubahan lahan, saluran air/irigasi tambak yang dangkal dan sempit, dll. Selain itu, metode ini juga dapat memfasilitasi peserta untuk membuat keputusan manajemen pesisir yang lebih baik, seperti penentuan lokasi prioritas rehabilitasi saluran air/irigasi tambak, lokasi prioritas perlindungan pantai ataupun verifikasi data luasan tambak dengan surat izin usaha budidaya ikan. Namun, metode P-SIG membutuhkan waktu yang lama dalam prosesnya, serta membutuhkan banyak sumberdaya.

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“…Certain studies are related to climate change impacts on agriculture and the aquaculture sector (Leigh et al 2020). Despite these many studies based on statistics and farmer interviews, very few EO-based monitoring systems have been developed for shrimp ponds (Gentry et al 2017), and most studies carried out have been related to changes in mangrove areas (Bèland et al 2006;Gusmawati et al 2016). Monitoring aquaculture products has shifted to relying heavily on remote sensing technology due to its advantages in estimating area under cultivation and real-time monitoring of ponds (Cui et al 2019;Hou et al 2022;MacAulay et al 2022;Ottinger, Clauss, and Kuenzer 2017;Seto and Fragkias 2007).…”

Section: Introductionmentioning

confidence: 99%

Assessing Spatiotemporal Differences in Shrimp Ponds Using Remote Sensing Data and Machine Learning Algorithms

Bellam¹,

Gumma²,

Panjala³

et al. 2023

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Shrimp farming and exporting is the main income source for the southern coastal districts of the Mekong delta. Monitoring these shrimp ponds is helpful in identifying losses incurred due to natural calamities like floods, sources of water pollution by chemicals used in shrimp farming, and changes in the area of cultivation with an increase in demand for shrimp production. Satellite imagery, which is consistent with good spatial resolution and helpful in providing frequent information with temporal imagery, is a better solution for monitoring these shrimp ponds remotely for larger spatial extent. The shrimp ponds of Cai Doi Vam township, Ca Mau Province, Viet Nam were mapped using DMC-3 (TripleSat) and Jilin-1 high-resolution satellite imagery for the years of 2019 and 2022. The 3m spatial resolution shrimp pond extent product showed an overall accuracy of 87.5% with a producer's accuracy of 90.91% (errors of omission = 11.09%), and a user's accuracy of 90.91% (errors of commission = 11.09%) for the shrimp pond class. It was noted that 66 ha of shrimp ponds in 2019 were observed to be dry in 2022, and 39 ha of other ponds had been converted into shrimp ponds in 2022. The continuous monitoring of shrimp ponds helps achieve sustainable aquaculture and acts as crucial input for the decision-makers for any interventions.

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Aquaculture Pond Precise Mapping in Perancak Estuary, Bali, Indonesia

Cited by 11 publications

References 0 publications

Surveying shrimp aquaculture pond activity using multitemporal VHSR satellite images - case study from the Perancak estuary, Bali, Indonesia

Surveying shrimp aquaculture pond activity using multitemporal VHSR satellite images - case study from the Perancak estuary, Bali, Indonesia

Pemanfaatan Data Penginderaan Jauh Resolusi Tinggi Untuk Pemetaan Tambak Di Kecamatan Ujung Pangkah, Gresik

Assessing Spatiotemporal Differences in Shrimp Ponds Using Remote Sensing Data and Machine Learning Algorithms

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