Development of Spatial Platform Based Earth Engine Apps for Mangrove Carbon Stock: Case Study in Serang Coastal Zone, Banten Province

https://doi.org/10.52045/jca.v4i2.746

Authors

  • Raditya Febri Puspitasari Department of Biology, Faculty of Mathematic and Natural Science, IPB University, Bogor, 16680, West Java, Indonesia
  • Aisyah Department of Biology, Faculty of Mathematic and Natural Science, IPB University, Bogor, 16680, West Java, Indonesia
  • Usnil Khotimah Department of Plant Protection, Faculty of Agriculture, IPB University, Bogor, 16680, West Java, Indonesia
  • Mahadika Rifka Nugraha Department of Civil and Environmental Engineering, Faculty of Agriculture Technology IPB University, Bogor, 16680, West Java, Indonesia
  • Ali Dzulfigar Department of Silviculture, Faculty of Forestry and Environment, IPB University, Bogor, 16680, West Java, Indonesia
  • Khairani Putri Marfi Department of Silviculture, Faculty of Forestry and Environment, IPB University, Bogor, 16680, West Java, Indonesia
  • Danik Septianingrum Department of Biology, Faculty of Mathematic and Natural Science, IPB University, Bogor, 16680, West Java, Indonesia
  • Rahmat Asy'ari SSRS EarthInformatics Labs, SSRS Institute, Bogor, Indonesia, West Java, Indonesia
  • Rahmat Pramulya Center for Low Carbon Development, Teuku Umar University, West Aceh, Indonesia
  • Neviati Putri Zamani Center for Transdisciplinary and Sustainability Sciences (CTSS), IPB University, Bogor, Indonesia
  • Yudi Setyawan Department of Forest Resource Conservation and Ecotourism, Faculty of Forestry and Environment, IPB University, Bogor, Indonesia

Keywords:

CO2 emission, climate change, mangrove

Abstract

Mangroves exhibited considerable potential in mitigating global climate change, as these ecosystems can sequester and store substantial amounts of carbon in the form of live and decayed plant biomass across coastal areas. This research aimed to estimate carbon stocks and assess the dynamics of carbon reserves in the silvofishery area of Serang City, Banten, utilizing geospatial technology and cloud computing. Additionally, the study sought to develop the Indo InaC Data platform to monitor CO2 uptake on silvofishery land. The methodology employed included mangrove detection through unguided classification, and carbon stock estimation was performed using regression models derived from vegetation indices, specifically the Integrated Remote Sensing and Ecological Index (IRECI) and the Transformed Vegetation Index (TRVI). The results revealed fluctuations in mangrove vegetation cover between 2016 and 2023, with a notable decrease occurring from 2016 to 2017, as the cover declined from approximately 61.91 hectares to 50.53 hectares. This decrease was followed by an increase from 2017 to 2022, during which the area rose to 78.1 hectares; however, a subsequent decrease was observed in 2023, with the area reducing to 66.82 hectares. The estimated carbon reserves in the study area for 2023 amounted to 315 tons, reflecting similar dynamics to those observed in mangrove vegetation cover. The development of the Indo InaC Data platform is anticipated to facilitate ongoing monitoring of CO2 emissions uptake, and it is expected to inform future strategies for managing silvofishery land on an annual basis.

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Published

2024-12-25

How to Cite

Puspitasari, R. F., Aisyah, Usnil Khotimah, Mahadika Rifka Nugraha, Ali Dzulfigar, Khairani Putri Marfi, … Yudi Setyawan. (2024). Development of Spatial Platform Based Earth Engine Apps for Mangrove Carbon Stock: Case Study in Serang Coastal Zone, Banten Province. CELEBES Agricultural, 4(2), 140–154. https://doi.org/10.52045/jca.v4i2.746

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Vol. 4 No. 2 (2024): CELEBES Agricultural

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Copyright (c) 2024 Raditya Febri Puspitasari, Aisyah, Usnil Khotimah, Mahadika Rifka Nugraha, Ali Dzulfigar, Khairani Putri Marfi, Danik Septianingrum, Rahmat Asy'ari, Rahmat Pramulya, Neviati Putri Zamani, Yudi Setyawan

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