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Journal : Forest and Society

Estimation and Mapping Above-Ground Mangrove Carbon Stock Using Sentinel-2 Data Derived Vegetation Indices in Benoa Bay of Bali Province, Indonesia Suardana, A. A. Md. Ananda Putra; Anggraini, Nanin; Nandika, Muhammad Rizki; Aziz, Kholifatul; As-syakur, Abd. Rahman; Ulfa, Azura; Wijaya, Agung Dwi; Prasetio, Wiji; Winarso, Gathot; Dewanti, Ratih
Forest and Society Vol. 7 No. 1 (2023): APRIL
Publisher : Forestry Faculty, Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24259/fs.v7i1.22062

Abstract

Carbon dioxide (CO2) is one of the greenhouse gases that causes global warming with the highest concentration in the atmosphere. Mangrove forests can absorb CO2 three times higher than terrestrial forests and tropical rainforests. Moreover, mangrove forests can be a source of Indonesian income in the form of a blue economy, therefore an accurate method is needed to investigates mangrove carbon stock. Utilization of remote sensing data with the results of the above-ground carbon (AGC) detection model of mangrove forests based on multispectral imaging and vegetation index, can be a solution to get fast, cheap, and accurate information related to AGC estimation. This study aimed to investigates the best model for estimating the AGC of mangroves using Sentinel-2 imagery in Benoa Bay, Bali Province. The random forest (RF) method was used to classified the difference between mangrove and non-mangrove with the treatment of several parameters. Furthermore, a semi-empirical approach was used to assessed and map the AGC of mangroves. Allometric equations were used to calculated and produced AGC per species. Moreover, the model was built with linear regression equations for one variable x, and multiple regression equations for more than one x variable. Root Mean Square Error (RMSE) was used to assess the validation of the model results. The results of the mangrove forests area detected in the research location around 1134.92 ha, with an Overall Accuracy (OA) of 0.984 and a kappa coefficient of 0.961. This study highlights that the best model was the combination of IRECI and TRVI vegetation indices (RMSE: 11.09 Mg/ha) for a model based on red edge bands. Meanwhile, the best results from the model that does not use the red edge band were the combination of TRVI and DVI vegetation indices (RMSE: 13.63 Mg/ha). The use of red edge and NIR bands is highly recommended in building the AGC model of mangrove forests because they can increase the accuracy value. Thus, the results of this study are highly recommended in estimating the AGC of mangrove forests, because it has been proven to be able to increase the accuracy value of previous studies using optical images.
Co-Authors A. A. Md. Ananda Putra Suardana A. A. Md. Ananda Putra Suardana A. Besse Rimba Abd. Rahman Adi Ariyanto Wibisono Agung Dwi Wijaya Agung Dwi Wijaya Agus Sukma Yogiswara Alfandy Putra Anugrah Anak Agung Ketut Darmadi Andiani, Anak Agung Eka Azhar Muhammad Hanisa Aziz, Kholifatul Azura Ulfa Azura Ulfa Azura Ulfa, Azura Chonnaniyah Chonnaniyah Dewa Ayu Intan Tirta Sari Dewi, I Gusti Ayu Istri Pradnyandari Dian Novianto Dwi Budi Wiyanto Egmont congdenjit Elis Molidena Elok Faiqoh Erwin Prastowo Ferdinan, David Firman Fusanori Miura Gathot Winarso Gathot Winarso Gathot Winarso, Gathot Gayatri, Ni Nyoman Puspa Gde Oka Widiyavedanta Gede Dicky Pradipta Wedayana Gede Surya Indrawan Gede Surya Indrawan Herlambang Aulia Rachman Herlambang Aulia Rachman I Dewa Gede Agung Pandawana I Gede Adi Swastana I Gusti Agung Bagus Wisesa Sastra I GUSTI ALIT GUNADI I Gusti Ayu Kunti Sri Panca Dewi I Gusti Bagus Sila Dharma I Gusti Ngurah Putra Dirgayusa I Kadek Dedy Antara Putra I Komang Subandi I Made Ekayana I Made Saka Wijaya I Made Sara Wijana I Made Sara Wijana I Made Sara Wijana I MADE SUDARMA I Made Sukewijaya I Made Yunarta I Nyoman Dibia I Nyoman Sunarta I Nyoman Wardi I Putu Dedy Pratama I PUTU GUSTAVE SURYANTARA PARIARTHA I Putu Ranu Fajar Maharta I Putu Sugiana I W.S. Adnyana I Wayan Artadana I Wayan Arthana I Wayan Eka Dharmawan I Wayan Gede Astawa Karang I Wayan Kasa I Wayan Nuarsa I Wayan Nuarsa I Wayan Nuarsa I Wayan Restu I Wayan Rusna I Wayan Sandi Adnyana I Wayan Sandi Adnyana I Wayan Suarna I.W. Diara I.W. Rusna Ida Ayu Alit Laksmiwati Indriyanti, Komang Dessica Irwan Jatmiko Istri Pradnyandari Dewi, I Gusti Ayu Joseph Maina Kadek Bagus Padmaningrat Kholifatul Aziz Kholifatul Aziz Komang Kartika Indi Swari Laily Mukaromah M. Rheza Rizki Syahputra M. Rheza Rizki Syahputra M. Sudiana Mahendra Mu'tasim Billah Muhammad Rizki Nandika Muhammad Rizki Nandika Nandika, Muhammad Rizki Nanin Anggraini Nanin Anggraini Nanin Anggraini, Nanin Ni Kadek Apriantari Ni Made Ernawati, Ni Made Ni Wayan Ekayanti Ni Wayan Loviasari Novanda, I Gede Agus Parwayoni, Ni Made Susun Prasetio, Wiji Pratama, I Putu Dedy Premananda, I Wayan Hari Premananda, Made Goura Primajana, Dewa Jati Putu Angga Wiradana Putu Angga Wiradana Putu Gede Ardhana Rahardja, Viryanando Evan Ratih Dewanti Ratih Dewanti Ratih Dewanti -Hariyadi Sagung Putri Chandra Astiti Sastra Ardi Agamis Ilhami Stuart Campbell Suardana, A. A. Md. Ananda Putra T. Osawa Takahiro Osawa Takahiro Osawa Takahiro Osawa Takahiro Osawa Takahiro Osawa Takahiro Osawa Takahiro Osawa Tasuku Tanaka Tiara Permata Sari Viryanando Evan Rahardja Wibisono, Adi Ariyanto Widiastuti Karim Wijana, Made Sara Wijaya, Agung Dwi Wijaya, I Made Saka Wiji Prasetio Wiji Prasetio Wirayuhanto, Harish Yulianto Suteja Zainul Hidayah Zulfa, Rozifatul