Abstract
This study focuses on using remote sensing techniques to estimate the evapotranspiration cover coefficient (CV) which is an important parameter for stream flow. The objective is to derive more accurate stream flow from the estimated CV. The study area is located in the Dan-Shuei watershed in northern Taiwan. The processes include the land-use classification using hybrid classification and four Landsat-5 TM images; the CV estimations based on remote sensing and traditional approaches; comparison of stream flow simulation according to the above two CV values. The result indicated that the study area was classified into seven land-use types with 88.3% classification accuracy. The simulated stream flow using remote sensing approach could represent more accurate hydrological characteristics than a traditional approach. Obviously integrating remote sensing technique and the SEBAL model is a useful approach to estimate the CV. The CV parameter estimated by remote sensing technique did improve the accuracy of the stream flow simulation. Therefore, the results can be extended to further studies such as forest water management.
| Original language | English |
|---|---|
| Pages (from-to) | 225-232 |
| Number of pages | 8 |
| Journal | International Journal of Applied Earth Observation and Geoinformation |
| Volume | 12 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2010 Jan 1 |
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All Science Journal Classification (ASJC) codes
- Global and Planetary Change
- Earth-Surface Processes
- Computers in Earth Sciences
- Management, Monitoring, Policy and Law
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Study on estimating the evapotranspiration cover coefficient for stream flow simulation through remote sensing techniques. / Wu, Chih-Da; Cheng, Chichuan; Lo, Hannchung; Chen, Yeongkeung.
In: International Journal of Applied Earth Observation and Geoinformation, Vol. 12, No. 4, 01.01.2010, p. 225-232.Research output: Contribution to journal › Article
TY - JOUR
T1 - Study on estimating the evapotranspiration cover coefficient for stream flow simulation through remote sensing techniques
AU - Wu, Chih-Da
AU - Cheng, Chichuan
AU - Lo, Hannchung
AU - Chen, Yeongkeung
PY - 2010/1/1
Y1 - 2010/1/1
N2 - This study focuses on using remote sensing techniques to estimate the evapotranspiration cover coefficient (CV) which is an important parameter for stream flow. The objective is to derive more accurate stream flow from the estimated CV. The study area is located in the Dan-Shuei watershed in northern Taiwan. The processes include the land-use classification using hybrid classification and four Landsat-5 TM images; the CV estimations based on remote sensing and traditional approaches; comparison of stream flow simulation according to the above two CV values. The result indicated that the study area was classified into seven land-use types with 88.3% classification accuracy. The simulated stream flow using remote sensing approach could represent more accurate hydrological characteristics than a traditional approach. Obviously integrating remote sensing technique and the SEBAL model is a useful approach to estimate the CV. The CV parameter estimated by remote sensing technique did improve the accuracy of the stream flow simulation. Therefore, the results can be extended to further studies such as forest water management.
AB - This study focuses on using remote sensing techniques to estimate the evapotranspiration cover coefficient (CV) which is an important parameter for stream flow. The objective is to derive more accurate stream flow from the estimated CV. The study area is located in the Dan-Shuei watershed in northern Taiwan. The processes include the land-use classification using hybrid classification and four Landsat-5 TM images; the CV estimations based on remote sensing and traditional approaches; comparison of stream flow simulation according to the above two CV values. The result indicated that the study area was classified into seven land-use types with 88.3% classification accuracy. The simulated stream flow using remote sensing approach could represent more accurate hydrological characteristics than a traditional approach. Obviously integrating remote sensing technique and the SEBAL model is a useful approach to estimate the CV. The CV parameter estimated by remote sensing technique did improve the accuracy of the stream flow simulation. Therefore, the results can be extended to further studies such as forest water management.
UR - http://www.scopus.com/inward/record.url?scp=79951949014&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79951949014&partnerID=8YFLogxK
U2 - 10.1016/j.jag.2010.03.001
DO - 10.1016/j.jag.2010.03.001
M3 - Article
VL - 12
SP - 225
EP - 232
JO - International Journal of Applied Earth Observation and Geoinformation
JF - International Journal of Applied Earth Observation and Geoinformation
SN - 1569-8432
IS - 4
ER -