Abstract
| Originalsprog | Engelsk |
|---|---|
| Tidsskrift | Remote Sensing of Environment |
| Vol/bind | 112 |
| Udgave nummer | 3 |
| Sider (fra-til) | 1242-1255 |
| ISSN | 0034-4257 |
| DOI | |
| Status | Udgivet - 2008 |
Bibliografisk note
Online - corrected proof version (11.1.2008)Emneord
- Det Natur- og Biovidenskabelige Fakultet
- overflade temperatur
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Combining the triangle method with thermal inertia to estimate regional evapotranspiration : applied to MSG-SEVIRI data in the Senegal River basin. / Stisen, Simon; Sandholt, Inge; Nørgaard, Anette; Fensholt, Rasmus; Jensen, Karsten Høgh.
I: Remote Sensing of Environment, Bind 112, Nr. 3, 2008, s. 1242-1255.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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TY - JOUR
T1 - Combining the triangle method with thermal inertia to estimate regional evapotranspiration
T2 - applied to MSG-SEVIRI data in the Senegal River basin
AU - Stisen, Simon
AU - Sandholt, Inge
AU - Nørgaard, Anette
AU - Fensholt, Rasmus
AU - Jensen, Karsten Høgh
N1 - Online - corrected proof version (11.1.2008)
PY - 2008
Y1 - 2008
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 - overflade temperatur
KW - MSG SEVIRI
KW - Triangle method
KW - Thermal inertia
KW - NDVI
KW - Surface temperature
KW - Evapotranspiration
KW - Evaporative fraction
KW - Remote sensing
U2 - 10.1016/j.rse.2007.08.013
DO - 10.1016/j.rse.2007.08.013
M3 - Journal article
VL - 112
SP - 1242
EP - 1255
JO - Remote Sensing of Environment
JF - Remote Sensing of Environment
SN - 0034-4257
IS - 3
ER -