emissivity mapping of the earth’s surface is the prerequisite to thermal remote sensing. a precise determinationof a surface's temperature is dependent upon the availability of precise emissivity data for that surface. the presentstudy area is a part of sugarcane plantation fields in the west part of khuzestan province. in this work, temperatureemissivity separation algorithm (tes) was applied ...

Emissivity mapping of the Earth’s surface is the prerequisite to thermal remote sensing. A precise determinationof a surface's temperature is dependent upon the availability of precise emissivity data for that surface. The presentstudy area is a part of sugarcane plantation fields in the west part of Khuzestan province. In this work, TemperatureEmissivity Separation algorithm (TES) was applied ...

Multispectral and hyperspectral thermal sensors can use spectral emissivities for mapping surface elements that show wavelength emission differences (typically minerals). The Airborne Hyperspectral Scanner (AHS) is a VIS to TIR 80 band line-scanner which collects 10 bands in the 8 to 12 μm atmospheric window, with 0.4 μm bandwidth. Multichannel temperature-emissivity separation published method...

This paper describes a fast procedure for evaluating asphalt pavement surface defects using airborne emissivity data. To develop this procedure, we used airborne multispectral emissivity data covering an urban test area close to Venice (Italy).For this study, we first identify and select the roads' asphalt pavements on Multispectral Infrared Visible Imaging Spectrometer (MIVIS) imagery using a ...

An approach to land surface temperature (LST) estimation that relies upon Bayesian inference has been validated against multiband infrared radiometric imagery from the Terra MODIS instrument. Bayesian LST estimators are shown to reproduce standard MODIS product LST values starting from a parsimoniously chosen (hence, uninformative) range of prior band emissivity knowledge. Two estimation method...

metric (mapping evapotranspiration at high resolution with internalized calibration) is known as an appropriate surface energy balance model for the estimation of the spatial distribution of evapotranspiration (et) in semi-arid regions. based on lysimeter measurements, metric has shown et estimates of 10% on a sub-field scale on a daily basis. there is a need to identify how the model is sensit...

In this article, a time dependent partial differential equation is used to model the nonlinear boundary value problem describing heat transfer through a radial porous moving fin with rectangular profile. The study is performed by applying a numerical solver in MATLAB (pdepe), which is a centered finite difference scheme. The thermal conductivity and fin surface emissivity are linearly ...

The main goal of this work is to optimize the emissivity of terahertz (THz) thermal sensors by deposition of a carbon thin film. Previously, these thermal sensors were designed to detect THz radiation utilizing metamaterials in a complicated optical probing scheme. We have repurposed them to absorb terahertz radiation, convert the radiation to heat, and convey that surface temperature as an inf...

Infrared cameras are becoming increasingly popular in clinics. Current practices, however, often overlook the importance of emissivity when taking thermal measurements. The consensus is that human skin has an emissivity of 0.98, but this varies between individuals, areas examined and whether the skin is damaged. This research investigated the emissivity variation of chronic wounds and its effec...