Skip to main content
Log in

Regional scale evapotranspiration estimation using satellite derived albedo and surface temperature

  • Published:
Journal of the Indian Society of Remote Sensing Aims and scope Submit manuscript

Abstract

In the studies reteted to surface energy balance, satellite data provides important inputs for estimating regional surface albedo and evapotranspiration. The paper describes the use of satellite data in determining the surface emissivity over heterogeneous a’reas by taking Normalized Difference Vegetation Index (NDVI) as modulating parameter at pixel resolution. The estimated emissivity values have been used to find the surface temperature at the pixel scale. Landsat-TM-visible, NIR, TIR bands data and some ground meteorological data have been used in an energy balance model for estimating surface albedo and evapotranspiration. The ET values derived from the model are in good agreement with the values obtained with. ‘CENTURY MODEL’ and ground observations over the area, suggesting the possible use of this approach fot regional scale studies on evapotranspiration.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Bartholic J F, Namken K N and Wiegand C L (1972). Aerial thermal scanner to determine temperature of soil and crops canopies differing in water stress. Agronomy J., 6:603–608.

    Article  Google Scholar 

  • Brown K W and Rosenberg N J (1973). A resistance model to predict evapotranspiration and its application to sugar beet field. Agronomy J., 65:341–347.

    Google Scholar 

  • Brown K W (1974). Calculation of evapotranspiration from crop surface temperature. Agricultural meteorology, 14:199–209.

    Article  Google Scholar 

  • Brutsaert W (1975). On a derivable formula for longwave radiation from clear skies. Water Resour. Res., 11:742–744.

    Article  Google Scholar 

  • Carnahan W H and Larson R C (1990). An analysis of an urban heat sink. Remote Sensing of Env., 33:65–71.

    Article  Google Scholar 

  • Caselles V, Sobrino J A and Coll C (1992). Oh the use of satellite data for determining evapotranspiration in partially vegetated areas. Int. J. Remote Sensing, 13(14):2661–2682.

    Article  Google Scholar 

  • Goita K and Royer A (1992). Land surface climatology and land cover change monitoring since 1973 over a North-sahelian zone (Ansongo-Mali) using Landsat data. Geocarto International, 2:15–28.

    Google Scholar 

  • Goita K and Royer A (1997). Surface temperature and emissivity separability over land surface from combined TIR & SWIR AVHRR data. IEEE Trans. on Geoscience & Remote Sensing, 35(3):718–733.

    Article  Google Scholar 

  • Krishnamurthy V, Ramakrishnayya B V and Gopalachari N C (1983). Fertility status of soils growing FCV Tobacco in East Godavari district, Andhra Pradesh. Technical Bulletin No. 6, C.T.R.I. (ICAR) Rajahmundry.

  • Kustas W P, Jackson and Asrar (1989). Estimating surface energy-balance components from Remotely sensed data. Chapter 16 - Theory and Applications of Optical Remote Sensing. A Wiley-interscience Publication.

  • Linacre E T (1977). A simple formula for estimating evaporation rates in various climates using temperature data alone. Agricultural Meteorology, 18:409–424.

    Article  Google Scholar 

  • Markham B L, Barker J L (1986). Landsat MSS and TM post calibration dynamic ranges, exoatmospheric reflectances and at satellite temperatures. EOSAT -Landsat technical notes, No. 1.

  • Parton W J, Scurlock J M O, Ojima D S, Gilmanov T G, Scholes R J, Schimel D S, Kirchnir, Menauut H C, Seastedt T, Garcia M E, Kamnalrut A and Kinyamario J L (1993). Observations and modelling of biomass and soil organic matter dynamics world wide. Global Biogeochemical cycles, 7(4):785–809.

    Article  Google Scholar 

  • Price J C (1990). Using spatial context in satellite data to infer regional scale evapotranspiration. IEEE trans. on Geoscience and Remote Sensing, 28(5):940–948.

    Article  Google Scholar 

  • Sellers and Robinson (1986). Contemporary Climatology. John Wiley & Sons Inc., New York.

    Google Scholar 

  • Valor E and Caselles V (1996). Mapping land surface emissivity from NDVI: Application to European, African & South American Areas. Remote Sensing of Env., 57:167–184.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

About this article

Cite this article

Kant, Y., Badarinath, K.(.S. Regional scale evapotranspiration estimation using satellite derived albedo and surface temperature. J Indian Soc Remote Sens 26, 129–134 (1998). https://doi.org/10.1007/BF03026670

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF03026670

Keywords

Navigation