(B. Pertanian)
Modelling of Transformation Vegetation Index Using Landsat 7 ETM+ (
Enhanched Thematic
Mapper
) Imagery for the Spatial Analysis of Production Estimation of Rice (Case Study in
Sragen Regency, Central Java Province)
Keywords: production estimation of rice, remote sensing, digital image landsat7 etm +, the transformation of vegetation index
Utomowati, Rahning; Ahmad; Nugraha,Setya
Fakultas KIP UNS, Penelitian, BOPTN UNS, Hibah Fundamental, 2012
As an agricultural country, the agricultural sector in Indonesia is one of the important sectors of the construction sector in the main development. One of the agricultural commodities most important food in Indonesia is a rice, which is the staple food for more than 95 percent of the population.Based on the importance of rice as a staple food most of the people of Indonesia, the volume of rice production every year should be controlled, through the estimation of production. Various methods have been developed to estimation production of rice, one of which by using a remote sensing method. Through the analysis of satellite imagery can be reduced the levels of plant greenness (vegetation index) which can be used to estimate the age of the rice crop and productivity. Using the satellite imagery, acquisition of rice production data can be performed quickly and accurately, making it more efficient in terms of time, cost, and effort. The aims of the study are : (1). To create a model of the transformation vegetation index is most suitable used as the basis in production estimation of rice, (2). To asses the ability of Landsat 7 ETM+ imagery in the extraction data of rice fields area which is used for a basis for estimation production of rice.
This research is a remote sensing research . The method of data collection used a digitally image interpretation, field observations, interviews, and review of documentation. The main data source is Landsat 7 ETM+ imagery, which is used for extraction rice fields data and production estimation of rice. From the Landsat 7 ETM + imagery derived of vegetation index information, information of land cover and land use as a basis for estimation production of rice. The transformation of vegetation index method used in this study is the transformation of NDVI and SAVI. Forms of research is descriptive qualitative analysis Productivity of rice data derived from measurements field. The data analysis used the spatial descriptions using analysis of Geographic Information Systems(GIS).
