Estimation of diurnal air temperature using MSG SEVIRI data in West Africa
Research output: Contribution to journal › Journal article › Research › peer-review
Standard
Estimation of diurnal air temperature using MSG SEVIRI data in West Africa. / Stisen, Simon; Sandholt, Inge; Nørgaard, Anette; Fensholt, Rasmus; Eklundh, L..
In: Remote Sensing of Environment, Vol. 110, No. 2, 2007, p. 262-274.Research output: Contribution to journal › Journal article › Research › peer-review
Harvard
APA
Vancouver
Author
Bibtex
}
RIS
TY - JOUR
T1 - Estimation of diurnal air temperature using MSG SEVIRI data in West Africa
AU - Stisen, Simon
AU - Sandholt, Inge
AU - Nørgaard, Anette
AU - Fensholt, Rasmus
AU - Eklundh, L..
PY - 2007
Y1 - 2007
N2 - Spatially distributed estimates of evaporative fraction and actual evapotranspiration are pursued using a simple remote sensing technique based on a remotely sensed vegetation index (NDVI) and diurnal changes in land surface temperature. The technique, known as the triangle method, is improved by utilizing the high temporal resolution of the geostationary MSG-SEVIRI sensor. With 15 min acquisition intervals, the MSG-SEVIRI data allow for a precise estimation of the morning rise in land surface temperature which is a strong proxy for total daytime sensible heat fluxes. Combining the diurnal change in surface temperature, dTs with an interpretation of the triangular shaped dTs - NDVI space allows for a direct estimation of evaporative fraction. The mean daytime energy available for evapotranspiration (Rn - G) is estimated using several remote sensors and limited ancillary data. Finally regional estimates of actual evapotranspiration are made by combining evaporative fraction and available energy estimates. The estimated evaporative fraction (EF) and actual evapotranspiration (ET) for the Senegal River basin have been validated against field observations for the rainy season 2005. The validation results showed low biases and RMSE and R2 of 0.13 [-] and 0.63 for EF and RMSE of 41.45 W m- 2 and R2 of 0.66 for ET.
AB - Spatially distributed estimates of evaporative fraction and actual evapotranspiration are pursued using a simple remote sensing technique based on a remotely sensed vegetation index (NDVI) and diurnal changes in land surface temperature. The technique, known as the triangle method, is improved by utilizing the high temporal resolution of the geostationary MSG-SEVIRI sensor. With 15 min acquisition intervals, the MSG-SEVIRI data allow for a precise estimation of the morning rise in land surface temperature which is a strong proxy for total daytime sensible heat fluxes. Combining the diurnal change in surface temperature, dTs with an interpretation of the triangular shaped dTs - NDVI space allows for a direct estimation of evaporative fraction. The mean daytime energy available for evapotranspiration (Rn - G) is estimated using several remote sensors and limited ancillary data. Finally regional estimates of actual evapotranspiration are made by combining evaporative fraction and available energy estimates. The estimated evaporative fraction (EF) and actual evapotranspiration (ET) for the Senegal River basin have been validated against field observations for the rainy season 2005. The validation results showed low biases and RMSE and R2 of 0.13 [-] and 0.63 for EF and RMSE of 41.45 W m- 2 and R2 of 0.66 for ET.
KW - Faculty of Science
KW - MSG SEVIRI
KW - Evaporative fraction
KW - Remote sensing
U2 - 10.1016/j.rse.2007.02.025
DO - 10.1016/j.rse.2007.02.025
M3 - Journal article
VL - 110
SP - 262
EP - 274
JO - Remote Sensing of Environment
JF - Remote Sensing of Environment
SN - 0034-4257
IS - 2
ER -
ID: 2211458