PEMANTAUAN VEGETASI TANAMAN MENGGUNAKAN FOTO UDARA DENGAN PARAMETER NDVI MENGGUNAKAN METODE K-MEANS CLUSTERING

SARI, AYU PURNAMA and Sukemi, Sukemi and Ubaya, Huda (2018) PEMANTAUAN VEGETASI TANAMAN MENGGUNAKAN FOTO UDARA DENGAN PARAMETER NDVI MENGGUNAKAN METODE K-MEANS CLUSTERING. Undergraduate thesis, Sriwijaya University.

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Abstract

Vegetation is an assemblage of the plant and various constituent flora collectively in a particular region. This study was conducted to test a new model in observing the level of vegetation by using an NIR camera that has an NRG filter, to obtain the NDVI value as the parameter in determining the level of vegetation in a region. The further stage was processing the NDVI value using contrast enhancement and gaussian smoothing for image enhancement. The results obtained from this stage were clustered using c-means which produced 5 cluster values and the centroid value could be a reference to the value of vegetation in a desired region. Clustering results obtained in the waters area had the lowest value of -1 up to -0.1 while the value of -0.1 up to 0.09 showed cloud, land and road area, for the value above 0.09 showed the plant vegetation area.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Image Enhacement, K-Means, NDVI, NRG, NIR Camera, Vegetation.
Subjects:	Q Science > Q Science (General) > Q1-390 Science (General) > Q223.M517 Science -- Information services. Information storage and retrieval systems --Science.
Divisions:	09-Faculty of Computer Science > 57201-Information Systems (S1)
Depositing User:	Mrs Sri Astuti
Date Deposited:	27 Sep 2019 04:12
Last Modified:	27 Sep 2019 04:12
URI:	http://repository.unsri.ac.id/id/eprint/9081

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