Retrieval of Sea Surface Temperature Over Poteran Island Water of Indonesia with Landsat 8 Tirs Image: A Preliminary Algorithm (original) (raw)
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International Journal of Remote Sensing and Earth Sciences (IJReSES)
The new Landsat generation, Landsat-8, is equipped with two bands of thermal infrared sensors (TIRS). The presence of two bands provides for improved determination of sea surface temperature (SST) compared to existing products. Due to its high spatial resolution, it is suitable for coastal zone monitoring. However, there are still significant challenges in converting radiance measurements to SST, resulting from the limitations of in-situ measurements. Several studies into developing SST algorithms in Indonesia waters have provided good performance. Unfortunately, however, they have used a single-band windows approach, and a split-windows approach has yet to be reported. In this study, we investigate both single-band and split-window algorithms for retrieving SST maps in the coastal zone of Wangi-Wangi Island, Wakatobi, Southeast Sulawesi, Indonesia. Landsat-8 imagery was acquired on February 26, 2016 (01: 51: 44.14UTC) at position path 111 and and row 64. On the same day, in-situ SS...
Sea Surface Temperature Mapping at Medium Scale Using Landsat 8 -TIRS Satellite Image
IPTEK Journal of Proceedings Series
The Sea Surface Temperature (SST) retrieval from satellites data has been available since 1980's both temporally and spatially. Some researchers have established SST inversion models depending on the correlation between the TM/ETM+ TIR radiance and the in-situ data. The objective of this research is to evaluate the performance of Landsat 8-estimated SST from 4 existing algorithms: Planck, Mono-Window Algorithm (MWA), Syariz and Split Window Algorithm (SWA) algorithms on 4 different tested areas: Eastern Bali, Bangkalan, Bombana and Poteran waters. Algorithm of Syariz dan SWA produced acceptable accuracy on all tested area with the NMAE ranged at 0.2-19.6% and 3.4-9.9% for Syariz and SWA, respectively. However, MWA and Planck produced NMAE larger than 30% on Bali and Poteran waters. Following the successful of SWA algorithm, the same algorithm was developed using insitu data collected on Poteran waters. The estimated SST by the developed algorithm produced acceptable accuracies on all tested water areas with the NMAE ranged from 0.401% to 16.630%. It was indicated that Syariz, SWA and the developed algorithms were applicable for SST retrieval on all tested waters
COMPARISON OF SEA SURFACE TEMPERATURE RETRIEVAL METHODS ON LANDSAT 8 TIR BANDS
ICOIRS 1st, 2015
Sea surface temperature (SST) has been studied intensively and concurrently with the development of remote sensing imageries, especially the ones that own broader bands including Thermal Infra-red (TIR). The recent Landsat 8 which provides two TIR bands, Band 10 and 11, is indicated unstable if they are used individually. Therefore, some algorithms exist to accommodate those two bands to provide better accuracy of SST. On the other hand, USGS also provides indexes and algorithms to allow user proceed a single TIR band to produce SST. This paper, thus, try to compare the SST calculated from those algorithms to the real time field measurement at two different environments. This study employs two algorithms provided by USGS for both Landsat 8 TIRS bands, and Split Window Algorithm (SWA) method. The field measurement was conducted in Lombok strait, covering both sea-shore and estuary areas. The result shows significant different between the SST calculated using single TIR band and both TIRS bands algorithm, ranging between 0.10-0.80oC. The accuracy level of SST measured from SWA is higher compared to the one did from single band algorithm, when they are examined to the field measurement result. Key words: Sea surface temperature, Landsat 8, thermal infra-red, split window algorithm
International Journal of Remote Sensing and Earth Sciences (IJReSES), 2017
Locating a suitable site is the key to success in cultivating seaweed, as it is becomes one of the coastal and marine prospects for improving the national economy. Numerous factors such as water movement, substratum, depth, salinity, light intensity, surface water temperature, influence the growth of this aquatic plant, and should be considered while choosing a farming area. One of key parameters on studying sea water conditions is surface temperature distribution, as changes on temperature effecting physical, chemical, and biological condition of the sea water. Surface waters temperature is affected by radiation, and sun position, geographic, seasons, overcast, interaction process between air and waters, evaporation level, and wind blowing. It's rarely easy job to measure surface waters temperature, because often, researcher has to deal with strong winds and high waves. The objectives of this research is to do surface waters temperature mapping of Grupuk Bay-West Nusa Tenggara, using thermal infrared channel of Landsat 8 data, which is supported by field observation data. Surface temperature measurement is conducted through field survey in conjunction with Landsat 8 orbit. Surface temperature calculation is carried out by using certain method issued by United States Geological Survey (USGS, 2013). Calculation result on Grupuk Bay's water surface temperature shows that it ranges from 28.00 to 30.00 o C, while field survey result shows that it ranges from 28.27 to 29.69 o C. This research shows that sea surface temperature measurement result based on Landsat 8 data has nearly identical range with field survey result.