Sebuah Algoritma Pohon Keputusan Untuk Klasifikasi Citra Satelit Aqua Modis

Manuhutu, Rina Luciane; Hutagalung, Riana Debora

doi:10.12928/telkomnika.v8i2.614

Cited by 4 publications

(2 citation statements)

References 3 publications

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“…It is useful to give a better understanding about the earth's phenomenon [17], [18]. In this study, remote sensing used to study index of vegetation and weather condition.…”

Section: Methodsmentioning

confidence: 99%

Weed Control Decision Support System Based on Precision Agriculture Approach

Sampurno¹,

Seminar²,

Suharnoto³

2014

TELKOMNIKA

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“…It is useful to give a better understanding about the earth's phenomenon [17], [18]. In this study, remote sensing used to study index of vegetation and weather condition.…”

Section: Methodsmentioning

confidence: 99%

Weed Control Decision Support System Based on Precision Agriculture Approach

Sampurno¹,

Seminar²,

Suharnoto³

2014

TELKOMNIKA

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“…Aqua-Modis satellite imagery also shows that sea surface temperatures in the Pesisir Selatan waters also tend to be high sea temperature itself ranges from 28 -31 0 C (Weyl, 1967 in Manuhutu andHutagalung, 2010). The mean concentration of chlorophyll-a in Indonesian waters is 0.19 mg/m 3 throughout the year with 0.24 mg/m 3 in the east season and 0.16 mg/m 3 in the west season.…”

Section: Regresi Spasialmentioning

confidence: 99%

Spatial and Temporal Variability of Sea Surface Temperature and Chlorophyll-a According to the Season in Pesisir Selatan Regency Waters With Aqua-Modis Imagery

Saputra

2020

IRSAJ

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Fishermen's understanding of oceanographic parameters, especially sea surface temperature conditions and chlorophyll-a concentration in the process of determining fishing operations are still very low. The cause is the constraints of technology and human resources, and not widely available data and information on fisheries resources, including their parameters. Remote sensing technology is one solution that can be used to understand the spatial and temporal conditions of great waters. This research was conducted in the waters of the Pesisir Selatan Regency with the aim to : 1) measure and map the spatial and temporal variability of sea surface temperature in 2013, 2) measure and map the spatial and temporal variability of chlorophyll-a concentration in 2011-2013, 3) measure the relationship between sea surface temperature with the concentration of chlorophyll-a. This study uses a quantitative approach using analysis desk metode. The results showed that: 1) sea surface temperature mean highest monthly throughout the year occurred in the first transitional season between March and May, where sea surface temperatures reach more than 31 0C, 2) Chlorophyll-a concentration between 2011 to 2013 was highest in the east of the season and second in the transitional seasons are concentrated in the area of the waters region of Linggo Sari Baganti Regencys to Silaut Regencys, 3) Sea surface temperature is strongly influencing the concentration of chlorophyll-a, regression coefficient (r) of 0.811, Relationships sea surface temperatures mean monthly negatively correlated, with each increase of 1 0C of the sea surface temperature caused a decrease in chlorophyll-a concentration of 0.176 mg/m3.

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