Open AccessTemporal analysis on spectral reflectance of clove vegetation based on landsat 8 imagery
Author(s) -
I Made Yuliara,
Ni Nyoman Ratini,
I Gde Antha Kasmawan
Publication year - 2022
Publication title -
international journal of physical sciences and engineering
Language(s) - English
Resource type - Journals
eISSN - 2550-6951
pISSN - 2550-6943
DOI - 10.53730/ijpse.v6n1.2940
Subject(s) - remote sensing , quarter (canadian coin) , spectral bands , reflectivity , vegetation (pathology) , environmental science , geography , optics , physics , medicine , archaeology , pathology
This study aims to analyze temporally the spectral reflectance of clove vegetation using Landsat 8 multitemporal imagery data in Buleleng district, Bali. The analysis method uses the conversion of raw data from Landsat 8 images to the spectral reflectance value at the Top of Atmosphere (TOA). This conversion scales back the pixel values ??of the Landsat 8 image in the visible spectrum, namely bands 2, 3, 4 and infrared bands 5, 6, and 7 into percentage units. The temporal analysis technique is carried out by grouping the time series of Landsat 8 image data for 1 period, in 2015, into 4 quarterly groups based on the acquisition time, namely Quarter I (January, February, March), Quarter II (April, May, June), Quarter III (July, August, September) and Quarter IV (October, November, December). The results showed that the graph pattern of the average percentage of spectral reflectance in each quarter was the same and in the infrared spectrum was greater than the visible spectrum. The average value of the largest spectral reflectance was found in the second Quarter which was acquired by band 5 of 28.143%, while the smallest in the first Quarter which was acquired by band 2 was 2.503%.