New Model of Vegetation Monitoring Using Flying NIR Cameras withNDVI Parameters and C-means

Ubaya, Huda and Sukemi, Sukemi and Purnama Sari, Ayu (2019) New Model of Vegetation Monitoring Using Flying NIR Cameras withNDVI Parameters and C-means. ICONISCSE, 1196.

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Abstract

Vegetation is an assemblage of the plant and various constituent flora collectively in a particular region. This research was conducted to test a new model in observing the level of vegetation by using a NIRcamera 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 Gaussiansmoothing for image enhancement. The resultsobtained 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 the desiredregion. Cluster with NDVI value range from -1 to 0.09 showed the value for water and land while the value range above 0.09 showed the cluster for plants.

Item Type:	Article
Subjects:	Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation.
Divisions:	09-Faculty of Computer Science > 55101-Informatics (S2)
Depositing User:	Dr. Sukemi Sukemi
Date Deposited:	11 Sep 2020 12:52
Last Modified:	07 Sep 2021 02:36
URI:	http://repository.unsri.ac.id/id/eprint/34886

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