DETEKSI STRES MANGROVE MENGGUNAKAN TEKNOLOGI PENGINDRAAN JAUH DAN SIG PADA KAWASAN HUTAN LINDUNG AIR TELANG PROVINSI SUMATERA SELATAN

JAYA, EFAN FATRA and Rendana, Muhammad and Hadinata, Febrian (2025) DETEKSI STRES MANGROVE MENGGUNAKAN TEKNOLOGI PENGINDRAAN JAUH DAN SIG PADA KAWASAN HUTAN LINDUNG AIR TELANG PROVINSI SUMATERA SELATAN. Masters thesis, Sriwijaya University.

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Abstract

Mangrove vegetation stress is driven by multiple factors, including deforestation, climate change, eutrophication, disease, pollution, and human activities, all of which contribute to the degradation and loss of mangrove cover. One such impacted area is the Air Telang protected forest, which has experienced ecological degradation due to agricultural expansion, aquaculture, plantation development, and settlement growth. This study aims to map mangrove stress using Remote Sensing and Geographic Information System (GIS) technologies, monitor ecological changes between 2023 and 2025, and compare vegetation indices (NDVI, NDRE, MSAVI) with SPAD measurements. A quantitative approach was applied by analyzing vegetation indices from Sentinel-2 and Landsat 8 Level-2 imagery, alongside in-situ SPAD values, followed by statistical analysis using Pearson’s correlation. The findings reveal that although the mangrove ecosystem remains generally in good condition, certain areas exhibit varying levels of stress, ranging from very healthy to severely stressed. A statistically significant positive correlation (p < 0,01) was found between SPAD values and all vegetation indices: NDVI (r = 0,535, p = 0,002), MSAVI (r = 0,522, p = 0,003), and NDRE (r = 0,748, p < 0,001). NDRE showed the strongest correlation, suggesting it as a reliable and efficient index for accurately detecting mangrove stress.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Remote Sensing, NDVI, NDRE, MSAVI, SPAD
Subjects:	S Agriculture > SD Forestry > SD1-669.5 Forestry S Agriculture > SD Forestry > SD411-428 Conservation and protection. Including forest influences, damage by elements, fires, forest reserves
Divisions:	11-Postgraduates Study > 95129-Environment Management (S2)
Depositing User:	Efan Fatra Jaya
Date Deposited:	17 Oct 2025 08:07
Last Modified:	17 Oct 2025 08:07
URI:	http://repository.unsri.ac.id/id/eprint/185228

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