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Journal : Applied Environmental Science

Spatiotemporal dynamics of vegetation density in moramo district protected forest: A remote sensing approach Gandri, La; Fatahuddin, Muhammad; Bana, Sahindomi; Hasani, Umar Ode; Sakti, Abdul; Fitriani, Dewi; Ahmaliun, La De; Muhsimin; Fitriani, Vivi
Applied Environmental Science Vol. 3 No. 1: (July) 2025
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/aes.v3i1.2025.1812

Abstract

Background: Protected forests in the Moramo District play a critical role in maintaining ecosystem balance, but they are increasingly threatened by human activities such as illegal logging and land use change. Vegetation density shifts can disrupt ecosystem functions, particularly the hydrological cycle. This study aims to analyze spatial and temporal changes in vegetation density in the Moramo District Protected Forest using remote sensing. Methods: To detect vegetation density changes, the NDVI (Normalized Difference Vegetation Index) algorithm was employed using satellite imagery from Landsat OLI 8 (2013 and 2018) and Landsat OLI 9 (2023), processed with GIS software. NDVI values range from -1 to 1, allowing for vegetation condition assessment based on spectral reflectance. Findings: Results show a degradation trend in dense vegetation, with a decrease of 67.25 ha (2.86%) during 2013–2018 and 289.11 ha (12.31%) during 2018–2023. Conversely, moderately dense vegetation increased by 68.45 ha (2.91%) and 300.21 ha (12.78%) over the same periods, indicating signs of vegetation regeneration. Conclusion: Despite some vegetation recovery, forest ecosystems continue to face high pressure. More adaptive conservation strategies supported by spatial monitoring are needed to reduce degradation and support long-term sustainability. Novelty/Originality of this article: This study uniquely integrates a multi-temporal NDVI-based approach with socio-ecological analysis and GIS tools to monitor vegetation dynamics. It offers valuable insights for adaptive forest management in the Moramo District Protected Forest, an area previously lacking detailed environmental change analysis.
Co-Authors Abdul Manan Abdul Manan Abdul Manan Abdul Sakti Agus Setiawan Agusrinal Agusrinal Agustina, Dinda Tri Ahmaliun, La De Aindo, Nur Rezki Albasri Alinda F. M. Zain Anas Nikoyan Arif, Laode Kasno Arman Arman Arniawati, Arniawati Arniawati, Arniawati Asramid Yasin Asrianti Arif Astika, Aci Bambang Sulistyantara Bana, Sahindomi Basri, Al BASUKI BASUKI Cahyoadi Bowo DEWI FITRIANI Eka Rahmatiah Tuwu Fahidu, Wa Ode Hastiani Fatahuddin, Muhammad Findra, Muhammad Nur Gafaruddin, Abdul Hafidah Nur Hasani, Umar Ode Hasbullah Syaf Hasbullah Syaf Hasbullah Syaf Hasbullah Haslianti Haslianti, Haslianti Herlan Hidayat Herlan Hidayat Herlan Hidayat Herlan Hidayat Hidayat, Herlan Irawati Irawati Irawati Irawati Jaluwi, La Jufri Karim Junartin Teke Junartin Teke Junartin Teke Junartin Kahirun Kahirun, Kahirun La Baco S La Baco Sudia La De Ahmaliun La De Ahmaliun La Ode Alwi La Ode Bahana Adam La Ode Kasno Arif La Ode Midi, La Ode La Ode Muhammad Erif Lade Ahmaliun Lade Ahmaliun Lade Ahmaliun Laksananny, Satya Agustina Laode Sabaruddin Laode Sabaruddin Laode Lies Indriyani Lisdayani, Mira Mandala, Marga Mega Redi Jaya Muhaimin Hamzah Muhamad Saleh Qadri Muhammad Saleh Qadri Muhsimin Muhsimin Muhsimin, Muhsimin Munara, Agil Aqshan Nor Musram Abadi Nur Arafah Nur Arafah Nur Arafah Nur Arafah NUR ARAFAH Nurhayati Hadjar Nurhayati Hajar Ode Hasani, Umar Padang, Jois Liling Putri, Amelia Retno Eka Putri, Sarwinda Intan Qadri, Muhamad Saleh Qadri, Muhammad Saleh Risnawati Risnawati RR. Ella Evrita Hestiandari Safril Kasim Sahindomi Bana Sahindomi Bana Sahindomi Sanjaya, Rifky Siwi, La Ode Teke, Junartin Tiku, Evi Indiriyani Tuwu, Eka Rahmatiah Umar Ode Hasani Umar Ode Hasani Umar Ode Hasani Vivi Fitriani Vivi Fitriani Wa Ode Hastiani Fahidu Wa Ode Nur Hasanah Wa Ode Nur Hasanah Wa Ode