Abstract. Medium-resolution satellite data such as data from Landsat has a lot of potential for a mixed pixel (mixel) to occur. Indonesian land use is diverse, especially in urban areas, which causes a high potential for mixels in the Landsat pixel size of 30 x 30m, based on the actual conditions. Multispectral aerial photo data from LAPAN Surveillance Aircraft (LSA) with a spatial resolution reaching 58cm can display objects in more detail in these sizes. The purpose of this research is to study mixels in Landsat 8 Operational Land Imager (OLI) data, with multispectral data from an LSA as a complement to the Landsat 8 OLI data. The method proposed in this study is a visual interpretation using the object-based image analysis (OBIA) method for the classification of land cover, testing the validity of the sample to be used in the research, and then using the normalized difference vegetation index (NDVI) to see the relationship between the vegetation index of the LSA data and the Landsat 8 OLI data. The results showed that the regression equation obtained from the regression between the NDVI of the Landsat 8 OLI data and the NDVI of the LSA with a significance of less than 0.05 is y = 0.732x -0102 with a value of R 2 = 0.887. Through these results we can conclude that the NDVI values for both sets of data are related to one another.Keywords: mixed pixel, aerial remote sensing, LSA, Landsat, OBIA, NDVI.
Abstrak. Data satelit beresolusi sedang seperti data dari Landsat memiliki banyak potensi untuk terjadinya piksel campuran (mixel). Penggunaan lahan di Indonesia beragam, terutama di daerah perkotaan, yang menyebabkan potensi mixel tinggi pada ukuran piksel