Application of Infrared Radiometers to Meteorology

Combs, Andrew; Weickmann, H. K.; Mader, Christopher C.; Tebo, Albert R.

doi:10.1175/1520-0450(1965)004<0253:aoirtm>2.0.co;2

Cited by 22 publications

(8 citation statements)

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“…The methodology and rationale of the box method were analysed in detail by Rubio et al (1997). There, two variants of the box method, with two lids (Buettner and Kern 1965) and with one lid (Combs et al 1965), were proposed as the most convenient field methods depending on the sample and atmospheric conditions. In both variants, the emissivity of the sample is obtained from a sequence of measurements of radiance in which a bottomless box is used.…”

Section: The Box Methodsmentioning

confidence: 99%

Thermal–infrared emissivities of natural surfaces: improvements on the experimental set-up and new measurements

Rubio

Caselles

Coll

et al. 2003

International Journal of Remote Sensing

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Ground measurements of thermal infrared emissivities of terrestrial surfaces are required to derive accurate temperatures from radiometric measurements, and also to apply and validate emissivity models using satellite sensor observations. This paper focuses on the demanding aspects that are involved in the field measurement of emissivity using the box method and a hand-held radiometer. Measuring emissivities in field conditions can be hampered by external factors such as wind and solar irradiance. This can increase the time spent on the field campaign but, most importantly, it can cause no-sense fluctuations between consecutive observations. Here we propose original developments for the experimental instrumentation to ensure consistency of measurements. Moreover, we present a dataset of emissivity values for different soils, rocks and vegetation samples measured in the 8-14, 8.2-9.2, 10.5-1 1.5 and 11.5-12.5 pm wavebands.

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Section: The Box Methodsmentioning

confidence: 99%

Thermal–infrared emissivities of natural surfaces: improvements on the experimental set-up and new measurements

Rubio

Caselles

Coll

et al. 2003

International Journal of Remote Sensing

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“…However, arid and semi-arid regions usually have a considerable bare surface fraction for which LSE is generally significantly smaller (e.g., 0.93 for sand) and also low-lying, desiccated grass can have considerably reduced emissivities around 10.55 µm [46]: therefore, in-situ determination of LSE is critical for such sites. An advantage of arid regions is the usually high frequency of clear sky conditions and-at least for the chosen, level sites-the lack of obstructions: these are favorable conditions to apply the "one-lid emissivity box method" for LSE determination described by [47]. The authors of [26] studied the one-lid and the two-lid method in detail and derived correction terms for the two methods.…”

Section: Land Surface Emissivity Determinationmentioning

confidence: 99%

Long Term Validation of Land Surface Temperature Retrieved from MSG/SEVIRI with Continuous in-Situ Measurements in Africa

et al. 2016

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Abstract:Since 2005, the Land Surface Analysis Satellite Application Facility (LSA SAF) operationally retrieves Land Surface Temperature (LST) for the Spinning Enhanced Visible and Infrared Imager (SEVIRI) on board Meteosat Second Generation (MSG). The high temporal resolution of the Meteosat satellites and their long term availability since 1977 make their data highly valuable for climate studies. In order to ensure that the LSA SAF LST product continuously meets its target accuracy of 2˝C, it is validated with in-situ measurements from four dedicated LST validation stations. Three stations are located in highly homogenous areas in Africa (semiarid bush, desert, and Kalahari semi-desert) and typically provide thousands of monthly match-ups with LSA SAF LST, which are used to perform seasonally resolved validations. An uncertainty analysis performed for desert station Gobabeb yielded an estimate of total in-situ LST uncertainty of 0.8˘0.12˝C. Ignoring rainy seasons, the results for the period 2009-2014 show that LSA SAF LST consistently meets its target accuracy: the highest mean root-mean-square error (RMSE) for LSA SAF LST over the African stations was 1.6˝C while mean absolute bias was 0.1˝C. Nighttime and daytime biases were up to 0.7˝C but had opposite signs: when evaluated together, these partially compensated each other.

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“…The box method eliminates the surrounding radiance, isolating the sample by means of a perfectly reflecting surface. This method, proposed by Combs et al (1965), and modified by Lorenz (1966) and Tanner (1966, 1968), has been used by Davies et al (1971) and Taylor (1979) for obtaining field determinations of soil and water emissivities. The main difficulty of this method is the determination of atmospheric radiance; to avoid it Buettner and Kern (1965) add to the box a second lid made of an emitting material (the hot lid).…”

Section: Estimating Emissivitiesmentioning

confidence: 99%

Thermal remote sensing of land surface temperature from satellites: Current status and future prospects

Prata

Caselles

Coll

et al. 1995

Remote Sensing Reviews

242

119

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Application of Infrared Radiometers to Meteorology

Cited by 22 publications

References 0 publications

Thermal–infrared emissivities of natural surfaces: improvements on the experimental set-up and new measurements

Thermal–infrared emissivities of natural surfaces: improvements on the experimental set-up and new measurements

Long Term Validation of Land Surface Temperature Retrieved from MSG/SEVIRI with Continuous in-Situ Measurements in Africa

Thermal remote sensing of land surface temperature from satellites: Current status and future prospects

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