Analysis of Vegetation Index (NDVI, SAVI, LAI) on Coffee Productivity in Bener Meriah District, Aceh Province

DOI

10.2991/978-2-38476-200-2_9How to use a DOI?

Keywords

Landsat 8 OLI/TIRS; SAVI; LAI; coffee productivity

Abstract

Vegetation index analysis Transformation of the Normalized Different Vegetation Index (NDVI), Soil Adjusted Vegetation Index (SAVI), and Leaf Area Index (LAI) of coffee plants based on 8 oli/tirs Landsat imagery in Bener Meriah district, Aceh Province This research used two periods to determine the level of productivity of coffee plants, namely the period before flowering (May 2018) and the fruiting period (August 2018). This vegetation index analysis uses red wave reflectance (band 4) and near infrared wave reflectance (NIR), or band 5. These two wave reflectants have a high level of sensitivity to chlorophyll and mesophyll (green leaf matter). The results of this calculation show that the production and productivity results of coffee plants can be seen from the calculation results of the NDVI index value, which ranges from -0.047 to 0.9867; the SAVI value ranges from -0.016 to 0.632; and the LAI index (0.655 to 5.389). This figure shows that the level of vegetation density in the research area is very good, especially in August 2018. The validation process was carried out by correlation testing the three vegetation indices. The correlation test was carried out in the fruiting period, with an average value of R2 = 0.954, and the average value of the correlation test results in the period before flowering is R2 = 0.794. Because the correlation test value in the period before flowering (May 2018) for the NDVI index is (-0.04 to 0.85), the SAVI value ranges from (-0.017 to 0.756), and the LAI value ranges from (0.652 to 18.236) Therefore, based on the correlation value test, the Normalized Different Vegetation Index (NDVI) Transformation is more effective in analyzing the level of productivity of coffee plants in Bener Meriah district.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Al Asri Abubakar
AU  - Muhammad Haikal
AU  - Khairul Murdani
AU  - Nela Wirja
PY  - 2024
DA  - 2024/01/23
TI  - Analysis of Vegetation Index (NDVI, SAVI, LAI) on Coffee Productivity in Bener Meriah District, Aceh Province
BT  - Proceedings of the International Conference on Educational Technology and Social Science (ICoETS 2023)
PB  - Atlantis Press
SP  - 39
EP  - 45
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-200-2_9
DO  - 10.2991/978-2-38476-200-2_9
ID  - Abubakar2024
ER  -