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Publication
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Research Title |
Estimating Actual Evapotranspiration from NDVI using Landsat 8 and Sentinel-2 Imagery |
Date of Distribution |
7 June 2017 |
Conference |
Title of the Conference |
The 27th International Conference on Information Modelling and Knowledge Bases (EJC 2017) |
Organiser |
The series of European–Japanese Conference on Information Modelling and Knowledge Bases (EJC) |
Conference Place |
DusitThani Hotel |
Province/State |
Krabi, Thailand |
Conference Date |
5 June 2017 |
To |
9 June 2017 |
Proceeding Paper |
Volume |
2017 |
Issue |
4 |
Page |
20 |
Editors/edition/publisher |
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Abstract |
Evapotranspiration (ET) is the sum of evaporation and transpiration from the surface to the atmosphere. ET is component of hydrologic cycle and importance in agricultural water management such as schedules of irrigation water requirement, irrigation system design and watershed management. Evapotranspiration can be measured or estimated using several methods. The objectives of this study were simple methods and quick analyses for estimating the crop coefficients (KC) and daily actual evapotranspiration (ETa) from Normalized Difference Vegetation Index (NDVI) derived from Landsat 8 and Sentinel-2 satellite images, and compare the ETa from both satellite images at Ban Nong Bua, Amphoe Ban Fang, Khon Kaen Province, Thailand. The results showed that good correlation between NDVI and ETa from both satellite images (coefficient of determination (R2) = 0.85 and 0.87, respectively.) Both satellite images can be use or combine for detect temporal and spatial analysis. Sentinel-2 can provide more fine resolution of 10 m in VIS-NIR bands than Landsat 8 and suitable for precision farming or site specific management, while Landsat 8 TIRS bands were the advantages. |
Author |
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Peer Review Status |
มีผู้ประเมินอิสระ |
Level of Conference |
นานาชาติ |
Type of Proceeding |
Full paper |
Type of Presentation |
Oral |
Part of thesis |
true |
Presentation awarding |
false |
Attach file |
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Citation |
0
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