Penerapan Teknologi Penginderaan Jauh untuk Kajian Indeks Kerapatan Vegetasi (NDVI) Tahun 2020 di Kecamatan Sirimau

Resti Limehuwey; Micky Kololu; Sitti Hafsa Kotarumalos; Warni Multi

doi:10.30598/tanahgoyang.3.1.1-8

Resti Limehuwey Universitas Pattimura
Micky Kololu Universitas Pattimura
Sitti Hafsa Kotarumalos Universitas Pattimura
Warni Multi Universitas Pattimura

DOI: https://doi.org/10.30598/tanahgoyang.3.1.1-8

Keywords: Landsat 8, NDVI, Sirimau District

Abstract

This study aims to examine the distribution of vegetation density in Sirimau District using the NDVI method calculated from Landsat 8 satellite imagery. Landsat 8 imagery is processed to obtain NDVI values that describe the level of vegetation density and health in the study area. The results of the analysis show that most of the Sirimau District area is dominated by dense vegetation with NDVI values between 0.63 and 0.80 covering around 57.8% of the total area. In addition, vegetation is quite dense with NDVI values between 0.42 and 0.63 and vegetation is not dense with NDVI values between 0.21 and 0.42 occupying around 20.4% and 14.7% of the area, respectively. While non-vegetation and clouds and air only occupy a small part of the area with percentages of 7.1% and 0.003% of the total area, respectively. This study proves that the use of remote sensing technology, especially Landsat 8 imagery, is effective in mapping and integrating vegetation conditions quickly and accurately. The results of this study are expected to support natural resource management and spatial planning in Sirimau District.

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