A Two-Steps Radiometric Correction of Spot-4 Multispectral and Multitemporal for Seamless Mosaic in Central Kalimantan

Abstract

Abstract. This research analyzed the radiometric correction method using SPOT-4 imageries to produce the same reflectance for the same land cover. Top of Atmosphere (TOA) method was applied in previous radiometric correction approach, this TOA approach was upgraded with the reflectance effect from difference satellite viewing angle. The 250 scene of Central Kalimantan SPOT-4 imageries from 2006 until 2012 with varies viewing angle was used. This research applied two-step approaches, the first step is TOA correction, and the second step is normalization using a linear function of reflectance and satellite viewing angle. Gain and offset coefficient of this linear function was calculated using an iterative approach to producing the same reflectance in the forest area. The target of iterative processed is to minimize the standard deviation of a digital number from a forest area in the selected region. The result shows that the standard deviation of a digital number from a forest area in the two steps approach are 8.6, 16.5, and 16.8 for band 1, band 3 and band 4. These values are smaller compared with the standard deviation of digital number result from TOA approach are 15.0, 28,3 and 34.7 for band 1, band 3 and band 4. Decreasing the standard deviation shows the homogeneity of forest reflectance that could be seen in the seamless result. This algorithm can be applied for making seamless SPOT-4 mosaic whole of Indonesia.

Geothermal Prospect Zone Estimation Based on Landsat 8 Satellite Imagery (Case Study Around Gedongsongo)

“…i. Radiometric Correction Radiometric correction functions to eliminate radiometric errors in the image and improve the overall quality of the image. Additionally, radiometric correction is also useful in multitemporal and multisensor data analysis for interpretation as well as continuous change detection [21]. In image processing, radiometric correction converts data from digital number (DN) format to radians, then convert it into a reflectance value, except for the thermal band which is converted into a brightness temperature value (BT) [22].…”

Pengembangan Mosaik Data Spot 6/7 Menggunakan Metode Tile Based Berdasarkan Haze Index

“…Sedangkan metode Mosaic Pixel Based (MPB) (Hansen et al, 2008;Kustiyo et al, 2014) dan Mosaic Tile Based (MTB) (R. Dimyati et al, 2018) lebih cocok digunakan untuk proses mosaik pada wilayah yang sering tertutup awan atau haze dalam kurun waktu satu tahun seperti pulau Papua, Sulawesi, dan sebagian pulau Sumatera dan Kalimantan. Metode MPB menggunakan pendekatan berbasis piksel, dengan memilih piksel terbaik berdasarkan algoritma tertentu sehingga membentuk mosaik citra dari data multitemporal.…”