Estimation of sea surface temperature from space

Maul, George A.; Sidran, Miriam

doi:10.1016/0034-4257(71)90089-7

Cited by 10 publications

(2 citation statements)

References 5 publications

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“…There are multiple approaches to estimate land/water surface temperature from the brightness temperatures 22 . In the case of inland water bodies like large lakes, the most common approach is the split-window technique where the difference between the two adjacent thermal channels (10.5–11.5 μm, 11.5–12.5 μm) is taken as a measure of atmospheric attenuation to derive the Surface Temperature (ST) 23 . The accuracy of the derived ST depends on the split-window coefficients, which in turn is based upon multiple parameters like spectral response function and emissivity of the channels, column water vapour in the atmosphere and View Zenith Angle (VZA) of the sensor.…”

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confidence: 99%

Homogenised daily lake surface water temperature data generated from multiple satellite sensors: A long-term case study of a large sub-Alpine lake

Pareeth

Salmaso

Adrian

et al. 2016

Sci Rep

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Availability of remotely sensed multi-spectral images since the 1980’s, which cover three decades of voluminous data could help researchers to study the changing dynamics of bio-physical characteristics of land and water. In this study, we introduce a new methodology to develop homogenised Lake Surface Water Temperature (LSWT) from multiple polar orbiting satellites. Precisely, we developed homogenised 1 km daily LSWT maps covering the last 30 years (1986 to 2015) combining data from 13 satellites. We used a split-window technique to derive LSWT from brightness temperatures and a modified diurnal temperature cycle model to homogenise data which were acquired between 8:00 to 17:00 UTC. Gaps in the temporal LSWT data due to the presence of clouds were filled by applying Harmonic ANalysis of Time Series (HANTS). The satellite derived LSWT maps were validated based on long-term monthly in-situ bulk temperature measurements in Lake Garda, the largest lake in Italy. We found the satellite derived homogenised LSWT being significantly correlated to in-situ data. The new LSWT time series showed a significant annual rate of increase of 0.020 °C yr−1 (*P < 0.05), and of 0.036 °C yr−1 (***P < 0.001) during summer.

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confidence: 99%

Homogenised daily lake surface water temperature data generated from multiple satellite sensors: A long-term case study of a large sub-Alpine lake

Pareeth

Salmaso

Adrian

et al. 2016

Sci Rep

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“…b) Split-Window algorithm The split-window algorithm is used to retrieve the surface temperature by using the atmospheric window between two adjacent thermal channels of 10.5μm-11.5μm and 11.5μm -12.5μm with different effects of atmospheric absorption to remove the influence of the atmosphere [161]. The splitwindow algorithm based on the surface temperature of water bodies can be classified as linear and nonlinear, which is the most used algorithm for LSWT retrieval.…”

Section: B Lswt Retrieval Based On Rs Imagesmentioning

confidence: 99%

Review on the Change Trend, Attribution Analysis, Retrieval, Simulation, and Prediction of Lake Surface Water Temperature

Jia

Yang

Peng

et al. 2022

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Remote sensing of sea surface temperature through infrared radiometry — a review

Viswambharan

Sathyendranath

Rao

1986

Sadhana

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A review on the estimation of sea surface temperature (SST) from space using infrared radiometry is presented. The principle of the remote sensing technique, the infrared radiometers and the theory of SST measurement have been explained briefly. The absorption of infrared radiation from earth by the atmospheric constituents has been a major problem in the retrieval of SST from space-borne sensors. The effect of clouds and other atmospheric constituents, especially moisture content/water vapour, has been discussed and the various techniques used for evaluating the atmospheric correction and their limitations are summarised. Development of separate algorithms for each oceanic area coupled with validation by realistic sea truth measurements has been suggested for improving the accuracy of SST measurements from space.

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Estimation of sea surface temperature from space

Cited by 10 publications

References 5 publications

Homogenised daily lake surface water temperature data generated from multiple satellite sensors: A long-term case study of a large sub-Alpine lake

Homogenised daily lake surface water temperature data generated from multiple satellite sensors: A long-term case study of a large sub-Alpine lake

Review on the Change Trend, Attribution Analysis, Retrieval, Simulation, and Prediction of Lake Surface Water Temperature

Remote sensing of sea surface temperature through infrared radiometry — a review

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