Feasibility of land surface temperature and emissivity determination from AVHRR data

Li, Zhao-Liang; Becker, F.

doi:10.1016/0034-4257(93)90065-6

Cited by 309 publications

(136 citation statements)

References 16 publications

Supporting

Mentioning

132

Contrasting

Unclassified

Order By: Relevance

“…The TISI-based day/night method (Becker & Li, 1990) uses a pair of day/night co-registered AVHRR TIR data to estimate the bidirectional reflectance in channel 3, and then estimates emissivity in this channel based on the Lambertian assumption of surface reflectance (Becker & Li, 1990) or a priori knowledge of bidirectional reflectance distribution function (BRDF) (Li & Becker, 1993), emissivities in channels 4 and 5 with TISI, and finally estimates LST with the single channel method or the split-window method. If there are enough pairs of day/night co-registered AVHRR TIR data in a relative short period of time ranging from a few weeks to a few months depending on location and season in which surface BRDF does not change substantially and atmospheric temperature/water vapor profiles are available, directional emissivities at a series of view angles can be estimated using the integration of BRDF values in channel 3 estimated from AVHRR data (Nerry, Petitcolin, & Stoll, 1998).…”

Section: Heritage For Lst Remote Sensingmentioning

confidence: 99%

Validation of the land-surface temperature products retrieved from Terra Moderate Resolution Imaging Spectroradiometer data

Wan¹,

Zhang²,

Zhang³

et al. 2002

Remote Sensing of Environment

Self Cite

759

483

View full text Add to dashboard Cite

Section: Heritage For Lst Remote Sensingmentioning

confidence: 99%

Validation of the land-surface temperature products retrieved from Terra Moderate Resolution Imaging Spectroradiometer data

Wan¹,

Zhang²,

Zhang³

et al. 2002

Remote Sensing of Environment

Self Cite

759

483

View full text Add to dashboard Cite

“…The land surface temperature T sfc (x, y) is retrieved from the brightness temperature of channels four and five of NOAA-14=AVHRR according to Sobrino and Raissouni (2000) in this study, i.e. T sfc ðx; yÞ ¼ T 4 ðx; yÞ þ 1:40½T 4 ðx; yÞ À T 5 ðx; yÞ þ 0:28½T 4 ðx; yÞ À T 5 ðx; (Li and Becker, 1993), " 4 and " 5 are spectral emissivity of channel 4 and channel 5 of NOAA=AVHRR, T 4 and T 5 are brightness temperature of channel 4 and channel 5 of NOAA=AVHRR, W is water vapor content.…”

Section: Net Radiationmentioning

confidence: 99%

Diurnal and inter-monthly variation of land surface heat fluxes over the central Tibetan Plateau area

Fan

Ishikawa

et al. 2004

Theor. Appl. Climatol.

View full text Add to dashboard Cite

The energy and water cycle over the Tibetan Plateau play an important role in the Asian monsoon system, which in turn is a major component of both the energy and water cycles of the global climate system. Using field observational data observed from the GAME=Tibet (GEWEX (Global Energy and Water cycle Experiment) Asian Monsoon Experiment on the Tibetan Plateau) and the CAMP=Tibet (CEOP (Coordinated Enhanced Observing Period) Asia-Australia Monsoon Project (CAMP) on the Tibetan Plateau), some results on the local surface energy partitioning (diurnal variation, inter-monthly variation and vertical variation etc.) are presented in this study.The study on the regional surface energy partitioning is of paramount importance over heterogeneous landscape of the Tibetan Plateau and it is also one of the main scientific objectives of the GAME=Tibet and the CAMP=Tibet. Therefore, the regional distributions and their inter-monthly variations of surface heat fluxes (net radiation flux, soil heat flux, sensible heat flux and latent heat flux) are also derived by combining NOAA-14=AVHRR data with field observations. The derived results were validated by using the ''ground truth'', and it shows that the derived regional distributions and their inter-monthly variations of land surface heat fluxes are reasonable by using the method proposed in this study.Further improvement of the method and its applying field were also discussed.

show abstract

“…where e ¼ ðe 4 þ e 5 Þ/2, De ¼ e 4 À e 5 (Li and Becker 1993). The incoming short-wave radiation flux K # ðx; yÞ in Eq.…”

Section: A Net Radiationmentioning

confidence: 99%

Regionalization of Surface Fluxes over Heterogeneous Landscape of the Tibetan Plateau by Using Satellite Remote Sensing Data

Ishikawa

Tsukamoto

et al. 2003

Journal of the Meteorological Society of Japan

View full text Add to dashboard Cite

In this study, a parameterization method based on NOAA-14/AVHRR data and field observations is described and tested for deriving the regional land surface variables, vegetation variables and land surface heat fluxes over a heterogeneous landscape. As a case study, the method was applied to the Tibetan Plateau area. The regional distribution maps of surface reflectance, MSAVI, vegetation coverage, surface temperature, net radiation, soil heat flux, sensible heat flux and latent heat flux were determined over the Tibetan Plateau area. The derived results were validated by using the ''ground truth''. The results show that the more reasonable regional distributions and their seasonal variations of land surface variables (surface reflectance, surface temperature), vegetation variables (MSAVI and vegetation coverage), net radiation, soil heat flux and sensible heat flux can be obtained by using the method proposed in this study. However, the approach of deriving regional latent heat flux, and their seasonal variation as the residual of the energy budget, may not be a good method due to the unbalance of energy and the strong advection over the study area. Further improvement of the method was also discussed.

show abstract

Feasibility of land surface temperature and emissivity determination from AVHRR data

Cited by 309 publications

References 16 publications

Validation of the land-surface temperature products retrieved from Terra Moderate Resolution Imaging Spectroradiometer data

Validation of the land-surface temperature products retrieved from Terra Moderate Resolution Imaging Spectroradiometer data

Diurnal and inter-monthly variation of land surface heat fluxes over the central Tibetan Plateau area

Regionalization of Surface Fluxes over Heterogeneous Landscape of the Tibetan Plateau by Using Satellite Remote Sensing Data

Contact Info

Product

Resources

About