Comparing SeaDAS and ArcGIS Extracted Aqua MODIS Sea Surface Temperature DN Values at Bay of Bengal
Jogiparthi Venkata Sai *
College of Fishery Science, APFU, Muthukur, SPSR Nellore District, Andhra Pradesh, India.
Kathavarayan Vasanth
College of Fishery Science, APFU, Muthukur, SPSR Nellore District, Andhra Pradesh, India.
Madhavan Narayanan
College of Fishery Science, APFU, Muthukur, SPSR Nellore District, Andhra Pradesh, India.
Thanabalan Palanisamy
National Centre for Coastal Research, Ministry of Earth Sciences, NIOT Campus, Chennai, India.
Veepanagandla Gnanendra
College of Fishery Science, APFU, Muthukur, SPSR Nellore District, Andhra Pradesh, India.
Anaparthi Praneeth
College of Fishery Science, APFU, Muthukur, SPSR Nellore District, Andhra Pradesh, India.
*Author to whom correspondence should be addressed.
Abstract
This study compares the Sea Surface Temperature (SST) DN values extracted from the Aqua MODIS data using SeaDAS and ArcGIS of Visakhapatnam coastal waters, Bay of Bengal (BOB), India. SST data from January to December 2024 were analyzed across buffer zones of 50 km ,75km,100km,125km,150km,200 km to assess their zonal statistics performance. Both tools showed high consistency, with absolute errors ranging from 0.000007°C to 0.000163°C and APE values ranging from 0.000023 to 0.000563. Errors were negligible up to 150 km, but a one-pixel discrepancy was observed at 200 km buffer, which slightly increased the error percentage. Seasonal pixel fluctuations, notably a 15-20% drop in July due to monsoon cloud cover, were observed. Both tools proved reliable for zone delineation, with negligible errors well below the ecological thresholds. SeaDAS excelled in precise SST processing, whereas ArcGIS offered superior geospatial visualization.
Keywords: Sea surface temperature, buffer zone, zonal statistics, remote sensing