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Kajian Multitemporal Tingkat Keparahan Kebakaran Hutan dan Lahan di Kabupaten Muaro Jambi Menggunakan Penginderaan Jauh Arrafi, Muhammad; Widayani, Prima; Arjasakusuma, Sanjiwana
Aerospace Engineering Vol. 1 No. 3 (2024): July
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/aero.v1i3.2498

Abstract

Kabupaten Muaro Jambi merupakan kabupaten dengan intensitas kebakaran hutan dan lahan tertinggi di Provinsi Jambi. Pada tahun 2019 terjadi kebakaran hutan dan lahan terbesar di Provinsi Jambi, khususnya Kabupaten Muaro Jambi yang mengakibatkan fenomena langit memerah akibat tebalnya kabut asap kebakaran. Pemetaan keparahan kebakaran hutan dapat dilakukan secara efisien memanfaatkan teknologi penginderaan jauh karena mampu menghemat waktu, biaya, dan tenaga. Citra Landsat 8 digunakan pada penelitian ini sebagai input untuk melakukan transformasi indeks Normalized Burn Ratio (NBR). Indeks NBR memanfaatkan saluran NIR dan SWIR yang mampu membedakan area terbakar dengan baik. Selisih antara nilai NBR sebelum dan NBR sesudah kebakaran akan menghasilkan informasi berupa tingkat keparahan kebakaran hutan dan lahan di Kabupaten Muaro Jambi. Hasil penelitian ini menunjukkan bahwa tingkat keparahan kebakaran pada tahun 2019 – 2020 didominasi oleh kelas keparahan rendah namun terjadi masif. Selanjutnya pada periode tahun 2019 – 2021 area-area yang terbakar sudah mengalami proses pertumbuhan vegetasi yang tinggi.
MODIS Satellite Imagery for Monitoring Carbon Sequestration Potential and Its Drivers in Jambi Province, Indonesia Widayani, Prima; Arrafi, Muhammad
JURNAL GEOGRAFI Vol. 17 No. 1 (2025): JURNAL GEOGRAFI
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jg.v17i1.62343

Abstract

Jambi Province is a province in Indonesia whose land use is dominated by forests and plantations. Threats to land conversion and forest fires in the region have reduced vegetation and will threaten carbon absorption in the future. This study aims to map and assess the potential for carbon absorption and triggering factors by evaluating the spatiotemporal Net Primary Productivity (NPP) pattern to estimate Jambi Province's carbon absorption. This study uses remote sensing data to obtain NPP values ​​and several variables that will be assessed for their influence on NPP. MODIS satellite imagery is used to obtain NPP data, forest cover, Normalized Data Vegetation Index (NDVI) and Land Surface Temperature (LST). Shuttle Radar Topography Map (SRTM) imagery obtains topography and slope data. Population data in the form of the Human Development Index, total population and population in urban areas were obtained from the Central Statistics Agency of Jambi Province. The average NPP value 2003 in Jambi Province was 0.911 kgC/m/year, then the average NPP decreased to 0.754 kgC/m/year in 2023. Based on statistical analysis, there is a correlation between NPP and NDVI, slope, and topography.
Monitoring Fenomena Urban Sprawl dan Prediksi Perubahan Tutupan Lahan Menggunakan Citra Landsat 8 di Kota Jambi Arrafi, Muhammad; Salma, Nafisa Firyal
Geomedia Majalah Ilmiah dan Informasi Kegeografian Vol. 23 No. 2 (2025): Geo Media : Majalah Ilmiah dan Informasi Kegeografian
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/gm.v23i2.67239

Abstract

Urban sprawl is a consequence of rapid and expansive urban growth, which has a significant impact on the environment and land use in suburban areas. This research aims to monitor urban sprawl phenomena and predict land cover changes in Jambi City using Landsat 8 satellite image data from 2016 to 2021. The results show an increase in the extent of built-up areas in Jambi City, especially in the districts of Kota Baru and Alam Barajo, in line with population growth in these areas. Predictions using the Molusce plugin indicate that built-up land will continue to increase, while non-built-up land will decrease over the next five to ten years. Furthermore, using a Directional Distribution approach, this research predicts that Jambi City's growth direction in 2026 and 2031 will be towards the southwest. Urbanization and the association between Muaro Jambi Regency and Jambi City play a role in the expansion of urban sprawl to the southwest.