Identification of paddy field using Landsat image in Karawang Regency, West Java']Java

The Government of the Republic of Indonesia has a mission to achieve food self-sufficiency in 2017, therefore it is necessary efforts to the stability of food needs. Karawang Regency as a granary states have a vital role in maintaining the national rice self-sufficiency, so indispensable information paddy field area. Paddy field accurate mapping can be done with a fast and efficient method of using remote sensing technology. This study aims to identify the paddy field using remote sensing technology. The data used is Landsat TM 2002 and Landsat-8 2015. The classification method using an approach Normalized Difference Vegetation Index (NDVI) and the Tasseled Cap Transformation (TCT). This method can be implemented to identify the fields that are still green or in the growing season. TCT produces three images of the six combinations, namely Brightness (BRT), greenness (GRN), and wetness (WET). BRT provides graytone gradation of non vegetation to water. GRN is indicated the gradation of vegetation cover, begin from densely vegetated until the most rare or non-vegetated areas. While wetness (WET) indicates the area associated with the presence of water. The main results of the classification is not a wetland and paddy. Based on existing data paddy land area of research area is +/- 57% of the area of Karawang Regency.