Land surface temperature plays an essential role in estimating radiation budgets, heat balance studies, as a control for climate dynamics and soil–vegetation–atmosphere transfer modeling, studying the impact of land use/land cover (LULC) changes at regional level. This study provides comprehensive evaluation relationship between use (LST), through landscape assessment based on multi-source mult...

The impact of initial land-surface states on monthly to seasonal prediction skill of the Indian summer monsoon (June–September) is investigated using a suite of hindcasts made with the Climate Forecast System version 2 (CFSv2) operational forecast model. The modern paradigm of land-atmosphere coupling is applied to quantify biases in different components of the land-atmosphere coupled system an...

Land surface characteristics play a critical role in the evolution of the planetary boundary layer of the atmosphere. Several key components of the land surface that significantly affect surface sensible heat and moisture fluxes include soil temperature and moisture, fractional vegetation coverage (σf ), and green leaf area index (LAI). The lack of observational data for accurate specification ...

Spaceborne thermal sensors provide important physical parameters for urban studies. However, due to technical constraints, spaceborne thermal sensors yield a trade-off between their spatial and temporal resolution. The aims of this study are (1) to downscale the three originally low spatial resolution (960 m) Moderate Resolution Imaging Spectroradiometer (MODIS/Terra) land surface temperature i...

Examining climate-related satellite data that strongly relate to seasonal phenomena requires appropriate methods for detecting the seasonality to accommodate different temporal resolutions, high signal variability and consecutive missing values in the data series. Detection of satellite-based Land Surface Temperature (LST) seasonality is essential and challenging due to missing data and noise i...

In this paper, on the basis of summarizing the main algorithms of retrieval of land surface temperature, the principle of temperature retrieval algorithm based on multi-channel data is described and factors affecting the accuracy of retrieval are analyzed. In addition, mixed pixel emissivity is discussed and the relevant estimation method using the results of classification of visible-band imag...