Comparison of Split Window Algorithms for Retrieving Measurements of Sea Surface Temperature from MODIS Data in Near-Land Coastal Waters
نویسندگان
چکیده
منابع مشابه
Comparison of Split Window Algorithms for Retrieving Measurements of Sea Surface Temperature from MODIS Data in Near-Land Coastal Waters
Split window (SW) methods, which have been successfully used to retrieve measurements of land surface temperature (LST) and sea surface temperature (SST) from MODIS images, were exploited to evaluate the SST data of three sections of Italian coastal waters. For this purpose, sea surface emissivity (SSE) values were estimated by adding the effects of salinity and total suspended particulate matt...
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Land surface temperature (LST) is a significant parameter for many applications. Many studies have proposedvarious algorithms, such as the split-window method, for retrieving surface temperatures from two spectrallyadjacent thermal infrared bands of satellite data. Each algorithm is developed for a limited study area andapplication. In this paper, as part of developing an optimal split-window m...
متن کاملA practical split-window algorithm for retrieving land-surface temperature from MODIS data
K. MAO*{{§, Z. QIN{§, J. SHI{" and P. GONG{** {The Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Science, Beijing Normal University, Beijing 100101, China {International Institute for Earth System, Nanjing University, Nanjing 210093, China §The Key Laboratory of Remote Sensing and Digital Agriculture, China Ministry and the Agriculture Re...
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land surface temperature (lst) is a significant parameter for many applications. many studies have proposedvarious algorithms, such as the split-window method, for retrieving surface temperatures from two spectrallyadjacent thermal infrared bands of satellite data. each algorithm is developed for a limited study area andapplication. in this paper, as part of developing an optimal split-window m...
متن کاملDevelopment a split window algorithm to estimate land surface temperature from Sentinel -3 satellite data
Land Surface Temperature (LST) is an important indicator of the study of energy balance models at the earthchr('39')s surface and the interactions between the Earth and the atmosphere on a regional and global scale. To date, different algorithms have been developed in the last few decades to determine the land surface temperature using various satellite images. In this study, a new split window...
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ژورنال
عنوان ژورنال: ISPRS International Journal of Geo-Information
سال: 2018
ISSN: 2220-9964
DOI: 10.3390/ijgi7010030