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Identifikasi Lahan Sawah Menggunakan Ndvi Dan Pca Pada Citra Landsat 8 (Studi Kasus: Kabupaten Demak, Jawa Tengah)

Abstract

Paddy (Oryza sativa, sp) is one of the most important agricultural sector in Indonesia, because rice is the main food for more than 90% of Indonesia\u27s population. Based on BPS-Susenas data, consumption of rice per capita in 2013 amounted to 97.4045 kg/capita/year. Based on Statistical Data of Agriculture Ministry of Agriculture by 2014, Indonesia rice field area in 2013 amounted to 8,112,103 ha. In 2017, the Government has the mission of realizing Indonesia became self-sufficient in food. Therefore, the Government should be able to seek the stability of the fulfillment of basic needs for food, such as wetlands mapping. It\u27s accurate mapping can use a quick and easy method such as Remote Sensing.In this study, carried out the identification of rice fields using multitemporal Landsat 8 based on Rice Planting Time 1st in Demak that range between the end of October 2013 to early March 2014. The methods which was used Normalized Difference Vegetation Index (NDVI), Principal Component Analysis (PCA) and combination bands. Image classification is processed by using nine classes, those are water, settlements, mangrove, gardens, fields, rice fields 1st, rice fields 2nd, rice fields 3rd and rice fields 4th. The results showed the rice fields area obtained from the PCA method was 50,009 ha, combination bands was 51,016 ha and NDVI method was 45,893 ha. The accuracy level was obtained PCA method (84.848%), combination bands (81.818%), and NDVI method (75.758%)

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    Last time updated on 19/08/2017