Bathymetry Data Extraction Analysis Using Landsat 8 Data

Abstract

Abstract. The remote sensing technique can be used to produce bathymetric map. Bathymetric mapping is important for the coastal zone and watershed management. In the previous study conducted in Menjangan Island of Bali, bathymetric extractin information from the top of the atmosphere (TOA) reflectance image of Landsat ETM+ data has R 2 = 0.620. Not optimal correlation value produced is highly influenced by the reflectance image of Landsat ETM+ data, were used, hence the lack of the research which became the basis of the present study. The study was on the Karang Lebar water of Thousand Islands, Jakarta. And the aim was to determine whether there was an increased correlation coefficient value of bathymetry extraction information generated from Surface reflectance and TOA reflectance imager of Landsat 8 data acquired on August 12, 2014. The method of extraction was done using algorithms Van Hengel and Spitzer (1991). Extraction absolute depth information obtained from the model logarithm of Landsat 8 surface reflectance images and pictures TOA produce a correlation value of R 2 = 0.663 and R 2 = 0.712. Keywords: bathymetry, Landsat 8, reflectance, Van Hengel and Spitzer algorithm INTRODUCTIONBathymetric mapping is important for the coastal zone and watershed management. Bathymetry measurement conventionally in the shallow area and wavy as in a reef area is very difficult and expensive even sometimes very dangerous. (Kanno et al., 2011). The bathymetry intertidal zone is needed to study the morphology of the seabed, the environment management of coastal resources and oceanographic modeling (Stumpf et al., 2003). The coastal oceanographic research and the protection of the water environment require the use of the high accuracy bathymetric data. The use of Lidar and Radar Bathymetry for the collection of bathymetric data with high resolution and accuracy is expensive (Kaimaris et al., 2012). Siregar et al., 2009 conducted a bathymetric study using three methods Kriging interpolation method, namely, the method of inverse distance to power, and minimum curvature method.One of the satellites that can be used for mapping shallow water bathymetry is Landsat 8. Landsat imagery has a spatial resolution of 30 meters are equipped with visible channel that required in the extraction of bathymetry map. Visible channel (blue, red and green) has the ability to penetrate the water to a certain depth, the blue channel has the ability to penetrate deeper into the water body. Jupp (1988) concluded that Landsat imagery can be used in Determining the water depth, band 2 (blue channel) has the ability to penetrate up to 25 meters of water depth, Kuncoro Teguh Setiawan et al. 80International Journal of Remote Sensing and Earth Science Vol. FORMOSAT (Kholil et al., 2007), Landsat and Quickbird (Nurlidiasari, 2004). The coefficient of determination (R 2 ) is used to give a more detailed picture of the ability of channel 1,2 and 3 of Quickbird imagery in explaining variations in water depth (Siregar et al., 2010).The maximum depth th...

Batimetría derivada por satélite (sdb): una aproximación a la cartografía batimétrica con imágenes multiespectrales en aguas poco profundas de Bahía Solano, Colombia

“…Análisis cuantitativo de las batimetrías según el estándar OIH S-44 Table 5. Quantitative analysis of bathymetric data based on IHO-S-44 La determinación de la SDB a través del método empírico de Stumpf obtuvo un R 2 = 0.80 respecto los datos tomados in situ; el resultado de este estudio presentó mejor ajuste frente a los reportados por (Setiawan et al 2017;Ashphaq, 2018;Ekpa & Ojinnaka, 2018;Tang & Mahmud, 2018); por otro lado, presenta gran similitud al valor del ajuste para análisis reportados por (Jagalingam et al 2015;Pushparaj & Hegde 2016;Kimeli et al 2018;Putri et al 2018); del mismo modo, se pudo evidenciar que el valor de la reflectancia de la banda azul y verde aumenta cuando las aguas se vuelven poco profundas; por ende, se presenta una relación inversamente proporcional en relación a la profundidad (Gao, 2009); otro aspecto a considerar es incluir en el análisis la banda 1 (Coastal/Aerosol) del Landsat 8, ya que cumple con el rango espectral de aplicación y se ha visto que mejora sustancialmente la estimación de la profundidad en aguas costeras (Vinayaraj et al 2016;Kabiri, 2017).…”

Perbandingan Nilai Kedalaman Relatif Sungai Brantas Kabupaten Jombang dengan Perhitungan Algoritma Van Hengel and Spitzer Citra Sentinel-2 dan Digital Elevation Model (DEM)

“…Contohnya Airborne bathymetric LiDAR memiliki resolusi spasial  1 meter dan resolusi vertikal  15 cm (Geyman, 2019). Namun, metode tersebut relatif mahal untuk sekali pengukuran (Setiawan, dkk;2016). Hal tersebut membuat pendeteksian kedalaman perairan menggunakan penginderaan jauh menjadi metode yang menarik untuk menghasilkan estimasi data kedalaman perairan dengan biaya yang relatif lebih murah (Mateo-Perez, 2020).…”

Deteksi Batimetri Perairan Dangkal di Pulau Menjangan, Provinsi Bali Menggunakan Citra Landsat

“…Indikator keberadaan awan terlihat pada warna putih sebagaimana yang tampil pada Gambar 4. Penelitian SDB dengan data Landsat 8 telah dilakukan oleh (Setiawan et al, 2017) menggunakan metode algoritma yang menghasilkan nilai koefisien determinasi R 2 sebesar 0.66, serta oleh (Pushparaj & Hegde, 2017) menggunakan metode rasio kanal menghasilkan penetrasi kedalaman maksimal hingga 5 m. Beberapa hasil penelitian yang sebelumnya telah dilakukan tersebut diketahui bahwa kemampuan penetrasi kedalaman maksimal hasil penelitian ini masih lebih walaupun berdasarkan koefisien determinasi masih lebih rendah. Hasil tersebut tidak terlepas dari pengaruh kualitas data citra yang digunakan.…”