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Soil temperature is one of the essential variables governing the land atmosphere interaction. In this study, we proposed a statistical algorithm to retrieve the surface soil temperature from AMSR-E brightness temperature (TB) observations. The algorithm was developed based on the regression relationship between AMSR-E TB and corresponding in situ soil temperature observed at the Naqu network in the...
As a close proxy of the GOES-R Advanced Baseline Imager (ABI) instrument, the on-board 16-band Advanced Himawari Imager (AHI) brings an unprecedented opportunity to exercise the ABI algorithms developed for GOES-R in the STAR Algorithm Processing Framework (SAPF). STAR has been collaborating with JMA and NASA since AHI's post launch checkout and has been acquiring the full resolution AHI data form...
Significant changes have occurred in permafrost and seasonally frozen soils in the Tibetan Plateau (TP) during the last few decades, with potential influence on regional climate, hydrological and ecosystem processes. Land surface temperature (LST) is closely associated with surface energy balance, thus is a critical parameter affecting the frozen soil thermodynamics. Satellite remote sensing provides...
This paper analyzes the influence of the anomalous temperature occurred at the near surface boundary layer of the atmosphere on the land surface temperature (LST) retrieval with the generalized split-window algorithm (GSW). The coefficients in the GSW algorithm corresponding to a series of overlapping ranging of the mean emissivity, the atmospheric water vapor content, and the LST are derived using...
Water vapor plays an important roles in the Earth's energy and water cycles. Compared to optical remote sensing, microwave remote sensing has the advantage to acquire information of atmosphere under cloudy condition. Up to now, there is no published reliable total precipitable water product over land from AMSR2 due to effect of high land surface emissivity in microwave band. In this study, an improved...
Soil moisture derived from the SMAP passive microwave radiometers has a spatial resolution of 36km. In the case of applications of weather, catchment hydrology and agriculture there is a requirement of high spatial resolution. In this paper we present an innovative method to downscale passive soil moisture retrievals using vegetation index and surface temperature.
Polarimetric Microwave Imager (PMI) is planning as one of the main payload on WCOM satellite with the purposes of collecting the radiation from the Earth surface to retrieve the geophysical parameters of the land, ocean and atmosphere. PMI is passive microwave radiometer with frequencies of 6.8, 10.7, 18.7, 23.8, 37 .0 and 89GHz. The radiometers at 10.7, 18.7 and 37.0 GHz are full-polarized to measure...
Land surface temperature (LST) is a key parameter for a wide number of applications, which include hydrology, meteorology and model validation. In this paper a physical single channel algorithm was developed for retrieving LST from the Landsat 8 TIRS data. ASTER Global Emissivity Dataset (GED) and Vegetation Cover Method (VCM) were chosen to improve the accuracy of land surface emissivity and the...
A new soil moisture retrieval algorithm developed in this paper, using C- and K-band microwave radiometer channels of Ocean Salinity Satellite (OSS). In this new algorithm, K-band(23.8GHz) brightness temperature (BT) is used to estimate land surface temperature, and C-band BT in H polarization used to retrieve soil moisture by τ – ω model, in which soil roughness (h) and vegetation parameters (τ)...
The coarse spatial resolution of microwave radiometer measurements hinders its application on land and sea surface parameters estimation. Measurements therefore require better spatial resolution to improve parameters estimation with enhanced resolution and accuracy. In this paper, a linear unmixing method is presented to downscale brightness temperatures (TB) for accurate land surface parameters retrieval...
Increasing extreme weather events has made people confused with which year is the hottest or the coldest in recent years. To answer this question, the region scale and time must be considered. In this study, we calculate global surface temperature by using four surface temperature products at day and night retrieved from MODIS data. The global mean surface temperature is about 14.56° from 2001 to...
This research retrieved surface net radiation using meteorological data and Landsat 5 TM images of the four seasons in the year 2009. Meanwhile the 65 different landscape metrics of each analysis unit were acquired using landscape analysis method. Then the most effective landscape metrics which could affect surface net radiation were determined by correlation analysis, stepwise regression, etc. The...
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