Estimated change in the percentage of vegetation cover after the eruption of Mount Agung, Bali in 2017

Mohammad Naufal Fathoni; Pramaditya Wicaksono; Syamsul Bachri

doi:10.1117/12.2617334

22 December 2021 Estimated change in the percentage of vegetation cover after the eruption of Mount Agung, Bali in 2017

Mohammad Naufal Fathoni, Pramaditya Wicaksono, Syamsul Bachri

Proceedings Volume 12082, Seventh Geoinformation Science Symposium 2021; 120820W (2021) https://doi.org/10.1117/12.2617334
Event: Seventh Geoinformation Science Symposium (GSS 2021), 2021, Yogyakarta, Indonesia

Abstract

Vegetation is the key to the ecological conditions of an area, especially the highlands, which function as protected areas. The mapping of vegetation cover percentage is essential considering that highlands in Indonesia have massive changes, particularly in areas affected by eruptions. This study aims to map the changes in vegetation cover percentage of the area around Mount Agung after the eruption in 2017. Pre-eruption and post-eruption multi-temporal remote sensing data were used to extract the percentage of vegetation cover using an empirical model built from regression of NDVI values and visual observation of vegetation cover percentage based on high-resolution imagery. The estimated error value is 9.67% of pre-eruption condition cover and 14.45% of post-eruption condition cover, used as a threshold value to determine the area and location of percentage changes of vegetation cover. The area of 1.93 km² decreases vegetation cover percentage due to the eruption on the southern and southwest slopes of Mount Agung. The area that has not changed because of the eruption dominates at 24.92 km². The area that experienced increasing vegetation cover percentages was minimal due to vegetation growth during the temporal difference of imagery (5 months).

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Mohammad Naufal Fathoni, Pramaditya Wicaksono, and Syamsul Bachri "Estimated change in the percentage of vegetation cover after the eruption of Mount Agung, Bali in 2017", Proc. SPIE 12082, Seventh Geoinformation Science Symposium 2021, 120820W (22 December 2021); https://doi.org/10.1117/12.2617334

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KEYWORDS

Vegetation

Data modeling

Remote sensing

Visualization

Error analysis

Satellites

Statistical modeling

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