A series of dual-angle and split-window algorithms is presented for estimating sea (SST) and land surface temperature (LST) from the Advanced Along-Track Scanning Radiometer (AATSR). The numerical values of the coefficients have been obtained from statistical regression method using synthetic data. The algorithms have been tested with simulated and real AATSR data. Comprehensive sensitivity and...

Land surface temperature (LST) has a significant role in the land surface characters on local and global scale. The most important task in estimation of LST from satellite thermal data is removing the effects of atmospheric attenuations, topographic and land surface emissivity. To date, several techniques have been proposed to retrieve LST with various applications, advantages and drawbacks. Th...

Land surface temperature is a significant parameter for energy and water cycles in the earth–atmosphere system. Many studies have proposed various algorithms, such as the split-windowmethod, for retrieving surface temperatures from two different thermal infrared bands ofsatellite data. Each algorithm is developed for a limited study area and application. Here, aspart of developi...

PURPOSE Trend analysis techniques to detect glaucomatous progression typically assume a constant rate of change. This study uses data from the Ocular Hypertension Treatment Study to assess whether this assumption decreases sensitivity to changes in progression rate, by including earlier periods of stability. METHODS Series of visual fields (mean 24 per eye) completed at 6-month intervals from...

Perusahaan menurunkan harga saham pada kisaran yang menarik minat investor untuk membeli supaya banyak permintaan terhadap pembelian yaitu melalui pemecahan (Stock Split). Penelitian ini dilakukan 4 perusahaan terdaftar di JII70 melakukan tahun 2018 – 2020. menggunakan analisis Uji Normalitas dan Autokorelasi dengan periode pengamatan (Event Window) adalah 20 hari t = -10 (10 sebelum Stock Spli...

The daily stock indices/returns of the Shanghai Stock Exchange (SSE) and New York (NYSE) were examined from January 2, 2020, to April during COVID-19 pandemic period. sample was then split into three event windows. returns negative post-COVID-19 window for both markets. Interestingly, a positive link found between NYSE cases deaths peak death window. These findings indicate buying frenzy invest...