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All Journal Journal of Marine and Aquatic Sciences International Journal of Remote Sensing and Earth Sciences (IJReSES)
A. A. Md. Ananda Putra Suardana
Research Center for oCeanography, National Research and Innovation Agency (BRIN)
Earth & Planetary Sciences

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Pengaruh Suhu Permukaan Laut Musiman terhadap Produksi Penangkapan Ikan Lemuru (Sardinella lemuru) di Perairan Selat Bali, Maret 2011 – Februari 2015 A. A. Md. Ananda Putra Suardana; I Dewa Nyoman Nurweda Putra; Elok Faiqoh
Journal of Marine and Aquatic Sciences Vol 7 No 2 (2021)
Publisher : Fakultas Kelautan dan Perikanan Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/jmas.2021.v07.i02.p08

Abstract

Lemuru fishing activity in the Bali Strait is the most dominant fishery sector in that waters. One of the environmental factors that affect lemuru is Sea Surface Temperature (SST) spread seasonally. One Remote Sensing technology that can be used in determining the value of the distribution of SST is Moderate Resolution Imaging Spectroradiometer (MODIS). This study aimed to explore the influence of SST on the production of lemuru fishing (Sardinella lemuru) in the waters of the Bali Strait each seasonally. The method used in this research is descriptive qualitative by look influence between SST seasonally to the production of lemuru fishing at Bali Strait. This study used correlation and regression polynomial equation. The results showed influence of SST seasonally to the production of lemuru fishing in west season amounted to 54.86% (proportional), in east season by 43.88% (inversely), in the transitional seasons I amounted to 37.05% (proportional), and on the intermediate season by 30.64% (proportional). The weak impact of SST on the production of lemuru fishing in the waters of the Bali Strait in every season caused by state of the SST is relatively constant, while the production of fishing lemuru in annually increasing.
BIOMASS ESTIMATION MODEL AND CARBON DIOXIDE SEQUESTRATION FOR MANGROVE FOREST USING SENTINEL-2 IN BENOA BAY, BALI A. A. Md. Ananda Putra Suardana; Nanin Anggraini; Kholifatul Aziz; Muhammad Rizki Nandika; Azura Ulfa; Agung Dwi Wijaya; Abd. Rahman As-syakur; Gathot Winarso; Wiji Prasetio; Ratih Dewanti
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 19, No.1 (2022)
Publisher : Ikatan Geografi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2022.v19.a3797

Abstract

Remote sensing technology can be used to find out the potential of mangrove forests information. One of the potentials is to be able to absorb three times more CO2 than other forests. CO2 absorbed during the photosynthesis process, produces organic compounds that are stored in the mangrove forest biomass. Utilization of remote sensing technology is able to detect mangrove forest biomass using the density level of the vegetation index. This study focuses on determining the best AGB model based on the vegetation index and the ability of mangrove forests to absorb CO2. This research was conducted in Benoa Bay, Bali Province, Indonesia. The satellite image used is Sentinel-2. Classification of mangroves and non-mangroves using a multivariate random forest algorithm. Furthermore, the mangrove forest biomass model using a semi-empirical approach, while the estimation of CO2 sequestration using allometric equations. Mean Absolute Error (MAE) is used to evaluate the validation of the model results. The classification results showed that the detected area of Benoa Bay mangrove forest reached 1134 ha (OA: 0.98, kappa: 0.95). The best AGB estimation result is the DVI-based AGB model (MAE: 23,525) with a value range of 0 to 468.38 Mg/ha. DVI-based AGB derivatives are BGB with a value range of 0 to 79.425 Mg/ha, TAB with a value range of 0 to 547.8 Mg/ha, TCS with a value range of 0 to 257.47 Mg/ha, and ACS with a value range of 0 to 944.912 Mg/ha.
Co-Authors Abd. Rahman As-syakur Agung Dwi Wijaya Azura Ulfa Elok Faiqoh Gathot Winarso I Dewa Nym. Nurweda P., Kholifatul Aziz Muhammad Rizki Nandika Nanin Anggraini Ratih Dewanti Wiji Prasetio