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All Journal Geoid - Journal of Geodesy and Geomatics
Fahrul Yahya
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Agriculture, Biological Sciences & Forestry Earth & Planetary Sciences Engineering Environmental Science

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Estimation of Total Carbon Stock and Mangrove Health Index in Sidoarjo using Machine Learning Spectral Analysis Method of Sentinel-2A Satellite Imagery Aldea Noor Alina; Fahrul Yahya; Dika Ayu Safitri; Hartanto Sanjaya; Mitha Asyita Rahmawaty
Geoid Vol 20 No 1 (2025)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v20i1.2553

Abstract

The mangrove ecosystem has the potential ability to absorb carbon dioxide better than other forest ecosystems. It is noted that mangrove forests have an important role in reducing the concentration of carbon dioxide in the air. Changes in land cover conditions, massive development of urban areas, and the large need for housing in the Sidoarjo are the main causes of the decline in the area of mangrove forests which have been converted into fish ponds and residential areas. This triggers a decline in the quality of mangroves and will directly impact on reducing the capacity to store carbon reserves in Sidoarjo Regency. Biomass estimation calculations were carried out using the NDVI algorithm from remote sensing results using Sentinel Imagery – 2A. Apart from that, the mangrove health index was also calculated using the GCI (Green Chlorophyll Index), SIPI (Structure Insensitive Pigment Index), NBR (Normalized Burn Ratio), and ARVI (Atmospherically Resistant Vegetation Index). Based on the calculation results, the value obtained for the coastal area of Sidoarjo Regency the TCS or total carbon stock ranged from 1.1679468503445e-09 to 84.3344 TonC/hectares. Meanwhile, the results of the mangrove health index calculation show that the condition of mangroves in the coastal area of Sidoarjo Regency has a sufficient mangrove health index, with the highest area being 637.77 hectares, while only 10.80 hectares are available has a good health index. The results of this study are expected to be one of the bases for decision-making and policies in the rehabilitation and conservation of mangrove in Sidoarjo.
Evaluasi Tingkat Kekritisan Daerah Resapan Air di Rencana Tata Ruang Kabupaten Blitar Mohammad Mansyur; Melisa Amalia Mahardianti; Fahrul Yahya
Geoid Vol 20 No 1 (2025)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v20i1.2578

Abstract

Penelitian ini bertujuan untuk mengevaluasi tingkat kekritisan daerah resapan air di pola tata ruang kawasan resapan air Kabupaten Blitar. Untuk tujuan tersebut, maka dalam penelitian ini dilakukan pemetaan kondisi kawasan resapan air di Kabupaten Blitar. Dasar parameter penelitian ini adalah Peraturan Menteri Kehutanan Republik Indonesia Nomor : P. 32/MENHUT-II/2009. Parameter dalam peraturan tersebut meliputi jenis tanah, kemiringan lereng, tutupan lahan dan curah hujan. Metode yang digunakan dalam penelitian ini yaitu metode skoring setiap parameter dan teknik tumpang susun (overlay). Hasil penelitian ini menunjukkan tingkat kekritisan daerah resapan air pada pola tata ruang kawasan resapan air di Kabupaten Blitar sebagian besar menunjukkan kondisi baik (60,70%) dan normal alami (27,96%), yang mencerminkan kesesuaian dengan rencana tata ruang periode 2011–2031. Namun, terdapat area yang mulai kritis (11,29%) dan agak kritis (0,04%), yang didominasi oleh lahan terbangun. Untuk mempertahankan fungsi kawasan resapan air perlu penyesuaian rencana pola ruang, pengurangan lahan terbangun, serta penerapan langkah konservasi yang efektif. Evaluasi menyeluruh terhadap penetapan pola tata ruang menjadi hal krusial dalam mendukung pengelolaan yang berkelanjutan di Kabupaten Blitar.
Co-Authors Aldea Noor Alina Dika Ayu Safitri Hartanto Sanjaya Melisa Amalia Mahardianti Mitha Asyita Rahmawaty Mohammad Mansyur