Assessing Drought Conditions in Cloudy Regions Using Reconstructed Land Surface Temperature
نویسندگان
چکیده
منابع مشابه
Prediction of Land Surface Temperature under Cloudy Conditions using Microwave Remote Sensing and ANN
Land surface temperature (LST) is an important variable in climate, hydrologic, ecological, biophysical and biochemical studies (Mildrexler et al., 2011). The most effective way to obtain LST measurements is through satellites. Presently, LST from moderate resolution imaging spectroradiometer (MODIS) sensor is applied in various fields due to its high spatial and temporal availability over the ...
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Land surface temperature (LST) is a key parameter in the interaction of the land-atmosphere system. However, clouds affect the retrieval of LST data from thermal-infrared remote sensing data. Thus, it is important to determine a method for estimating LSTs at times when the sky is overcast. Based on a one-dimensional heat transfer equation and on the evolution of daily temperatures and net short...
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Today, many places of different locations on Earth especially semi-arid areas face the risk of desertification due to severe drought. However, the very basic data required for the analysis is unavailable for the regions without a meteorological station. In this case, land surface temperature (LST) is derived from a thermal band as an alternative meteorological station’s data. In this research, ...
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ژورنال
عنوان ژورنال: Journal of Meteorological Research
سال: 2020
ISSN: 2095-6037,2198-0934
DOI: 10.1007/s13351-020-9136-4