Mangrove degradation and fish pond expansion analysis in North Kalimantan, Indonesia, using automatic maps of mangroves and shorelines indices

• Autorzy: Suyarso , Avianto Praditya

Identyfikatory

DOI

10.24425/jwld.2024.151791

• Języki publikacji: EN

Abstrakty

EN

The east coast of North Kalimantan Province, Indonesia, from the northern border with Sabah, Malaysia, to the south, consists of a series of estuarine landscapes in the north and a delta in the south. Landsat imagery acquired in 1995 shows that there are 150,869 ha of pristine mangrove forest and 14,456 ha of ponds. The mangrove mapping uses the automatic mangrove map and index (AMMI). For ponds mapping, we have introduced the automatic shoreline map (ASM) index, automatic mapping of water body including the shoreline, ponds and rivers. Landsat image from 2000 shows that the mangrove area has decreased to 100,016 ha, while the pond area increased to 27,903 ha. Landsat image from 2010 shows that the mangrove area was 106,867 ha, while the pond area increased to 74,270.2 ha. Landsat imagery from 2022 shows that the remaining mangrove area was 108,187 ha, while the pond area increased further to 84,182 ha. Mangrove decline was extreme from 1995 to 2000, coinciding with Indonesia’s currency crisis. Currency devaluation encouraged local communities and entrepreneurs to create export commodities, with shrimp exports being one of the most promising. To maintain the presence of mangroves, the government implemented a silvo-fishery policy, while farming, it was also restoring mangroves. This paper introduces the fusion of two indices that automatically map mangrove environments to inform multi-temporal changes of mangroves, ponds, and shorelines based on Landsat imagery more accurately, faster, and with lower cost and labour.

Słowa kluczowe

EN

mangrove changes; fish ponds expansion; currency crisis; automatic mangrove map; automatic mangrove index; automatic shoreline map

• Wydawca: Wydawnictwo ITP
• Czasopismo: Journal of Water and Land Development
• Rocznik: 2024
• Tom: no. 63
• Strony: 67--77
• Opis fizyczny: Bibliogr. 57 poz., rys., tab., wykr.

Twórcy

autor

Suyarso

• National Research and Innovation Agency, Research Center for Oceanography, Jl. Pasir Putih 1, Ancol Timur, 14430, Jakarta, Indonesia

• https://orcid.org/0000-0002-6145-8029

autor

Avianto Praditya

• National Research and Innovation Agency, Research Center for Oceanography, Jl. Pasir Putih 1, Ancol Timur, 14430, Jakarta, Indonesia

• https://orcid.org/0000-0001-5592-5367

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).