Land surface is normally considered as a mixture of soil and vegetation. Many applications, such as drought monitoring and crop-yield estimation, benefit from accurate retrieval of both soil and vegetation temperatures through satellite observation. A preliminary study has been conducted in this study on the estimation of land surface soil and vegetation component temperature using the geostati...

In the present study, remote sensing of soil moisture is carried out using the Passive and Active Land S-band airborne sensor (PALS). The data in this paper were taken from 5 days of overflights near Chickasha, Oklahoma during the 1999 Southern Great Plains (SGP) experiment. Presently, we analyze the collected data to understand the relationships between the observed signals (radiometer brightn...

This study was conducted to investigate the effect of ecological factors on distribution, presence and absence of species Ferula ovina and F. persica in the semi-arid rangelands of Zanjan province, Iran in 2015. The locations of ten 4m2 plots with 15m spacing on three 150 m long transects were systematically randomized and determined in each key area within each hab...

[1] Incoming radiation forcing at the land surface is partitioned among the components of the surface energy balance in varying proportions depending on the time scale of the forcing. Based on a land-atmosphere analytic continuum model, a numerical land surface model, and field observations we show that high-frequency fluctuations in incoming radiation (with period less than 6 h, for example, d...

Accurate latent and sensible heat flux prediction in response to land surface soil moisture at midlatitudes has been shown to be as important as sea surface temperature in making accurate precipitation prediction at mid-latitudes over land (Koster et al., 2000). Unfortunately, land surface models typically give a poor prediction of soil moisture and atmospheric feedback, with large differences ...

Uncertainties in model parameters can easily result in systematic differences between model states and observations, which significantly affect the accuracy of soil moisture estimation in data assimilation systems. In this research, a soil moisture assimilation scheme is developed to jointly assimilate AMSR-E (Advanced Microwave Scanning Radiometer-Earth Observing System) brightness temperature...

A methodology for retrieving surface soil moisture and vegetation optical depth from satellite microwave radiometer data is presented. The procedure is tested with historical 6.6 GHz and polarized brightness temperature observations from the scanning multichannel microwave radiometer (SMMR) over several test sites in Illinois. Results using only nighttime data are presented at this time due to ...

A numerical simulation is carried out to study the effect of the thin metal outer case of an antitank mine and the top air gap of an antipersonnel mine on the passive infrared imaging signature. In addition, an antipersonnel surface mine is also analyzed in the present investigation to show its effect on the soil thermal content. The effect of shortand long-wavelength radiation as well as the c...

The long-term goal of this project is to improve the high-resolution model forecasts by developing a real-time globally re-locatable capability to initialize/assimilate the Coupled Ocean/Atmosphere Mesoscale Prediction System (COAMPS) land-surface model soil parameters. The partition of the model surface sensible and latent heat fluxes in the land-surface parameterization is sensitive to the in...

study of terrain including vegetation, water resources, land types including soil texture and classification are cases that require data with high precision. accurate and high quality data can lead us to a better, more accurate results.in this context, remote sensing data is a great tool for the detection and identification of patterns. sebal (surface energy balance algorithm) is a relatively n...