Using penman-monteith method to estimate potential evapotranspiration in taiwan by using AVHRR and MODIS satellites remote sensing data

Min Kuo Chen, Pao-Shan Yu, Hong Du Rong, Yuan Lin Chin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Recent advances in remote sensing technology have led to ways of estimating regional evapotranspiration from AVHRR satellite images. The newly developed MODIS satellite is being increasingly used in estimating evapotranspiration. This study aims to estimate the meteorological characteristics of Penman-Monteith method from AVHRR and MODIS images and then the evapotranspiration results are compared. Four major meteorological characteristics (air temperature, vapor pressure deficit, wind speed, and net radiation) were derived from images and station observations. The average errors of the evapotranspiration estimation were 1.197 mm/day (AVHRR) and 0.63 mm/day (MODIS), and the relative root-mean-squared errors were 0.477 (AVHRR) and 0.288 (MODIS). The verification results revealed that both MODIS and AVHRR images can be applied to estimate evapotranspiration, in which the estimation using MODIS images is better. Amount these four meteorological characteristics, the net radiation has the best estimation and the win speed was the poorest. However, the most sensitivity of the net radiation has led the worst result in estimating evapotranspiration. The accurately estimation of the net radiation is necessary in the future. Totally, the influence by the error of each meteorological characteristic was less than 11%. This suggested that this method with MODIS images is useful and practical in regional potential evapotranspiration estimation and can be suitably used in ungauged areas.

Original languageEnglish
Title of host publicationAsian Association on Remote Sensing - 26th Asian Conference on Remote Sensing and 2nd Asian Space Conference, ACRS 2005
Pages345-354
Number of pages10
Publication statusPublished - 2005 Dec 1
Event26th Asian Conference on Remote Sensing, ACRS 2005 and 2nd Asian Space Conference, ASC - Ha Noi, Viet Nam
Duration: 2005 Nov 72005 Nov 11

Publication series

NameAsian Association on Remote Sensing - 26th Asian Conference on Remote Sensing and 2nd Asian Space Conference, ACRS 2005
Volume1

Other

Other26th Asian Conference on Remote Sensing, ACRS 2005 and 2nd Asian Space Conference, ASC
CountryViet Nam
CityHa Noi
Period05-11-0705-11-11

Fingerprint

Advanced very high resolution radiometers (AVHRR)
Evapotranspiration
Remote sensing
Satellites
Radiation
Vapor pressure
Air

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering

Cite this

Chen, M. K., Yu, P-S., Rong, H. D., & Chin, Y. L. (2005). Using penman-monteith method to estimate potential evapotranspiration in taiwan by using AVHRR and MODIS satellites remote sensing data. In Asian Association on Remote Sensing - 26th Asian Conference on Remote Sensing and 2nd Asian Space Conference, ACRS 2005 (pp. 345-354). (Asian Association on Remote Sensing - 26th Asian Conference on Remote Sensing and 2nd Asian Space Conference, ACRS 2005; Vol. 1).
Chen, Min Kuo ; Yu, Pao-Shan ; Rong, Hong Du ; Chin, Yuan Lin. / Using penman-monteith method to estimate potential evapotranspiration in taiwan by using AVHRR and MODIS satellites remote sensing data. Asian Association on Remote Sensing - 26th Asian Conference on Remote Sensing and 2nd Asian Space Conference, ACRS 2005. 2005. pp. 345-354 (Asian Association on Remote Sensing - 26th Asian Conference on Remote Sensing and 2nd Asian Space Conference, ACRS 2005).
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title = "Using penman-monteith method to estimate potential evapotranspiration in taiwan by using AVHRR and MODIS satellites remote sensing data",
abstract = "Recent advances in remote sensing technology have led to ways of estimating regional evapotranspiration from AVHRR satellite images. The newly developed MODIS satellite is being increasingly used in estimating evapotranspiration. This study aims to estimate the meteorological characteristics of Penman-Monteith method from AVHRR and MODIS images and then the evapotranspiration results are compared. Four major meteorological characteristics (air temperature, vapor pressure deficit, wind speed, and net radiation) were derived from images and station observations. The average errors of the evapotranspiration estimation were 1.197 mm/day (AVHRR) and 0.63 mm/day (MODIS), and the relative root-mean-squared errors were 0.477 (AVHRR) and 0.288 (MODIS). The verification results revealed that both MODIS and AVHRR images can be applied to estimate evapotranspiration, in which the estimation using MODIS images is better. Amount these four meteorological characteristics, the net radiation has the best estimation and the win speed was the poorest. However, the most sensitivity of the net radiation has led the worst result in estimating evapotranspiration. The accurately estimation of the net radiation is necessary in the future. Totally, the influence by the error of each meteorological characteristic was less than 11{\%}. This suggested that this method with MODIS images is useful and practical in regional potential evapotranspiration estimation and can be suitably used in ungauged areas.",
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Chen, MK, Yu, P-S, Rong, HD & Chin, YL 2005, Using penman-monteith method to estimate potential evapotranspiration in taiwan by using AVHRR and MODIS satellites remote sensing data. in Asian Association on Remote Sensing - 26th Asian Conference on Remote Sensing and 2nd Asian Space Conference, ACRS 2005. Asian Association on Remote Sensing - 26th Asian Conference on Remote Sensing and 2nd Asian Space Conference, ACRS 2005, vol. 1, pp. 345-354, 26th Asian Conference on Remote Sensing, ACRS 2005 and 2nd Asian Space Conference, ASC, Ha Noi, Viet Nam, 05-11-07.

Using penman-monteith method to estimate potential evapotranspiration in taiwan by using AVHRR and MODIS satellites remote sensing data. / Chen, Min Kuo; Yu, Pao-Shan; Rong, Hong Du; Chin, Yuan Lin.

Asian Association on Remote Sensing - 26th Asian Conference on Remote Sensing and 2nd Asian Space Conference, ACRS 2005. 2005. p. 345-354 (Asian Association on Remote Sensing - 26th Asian Conference on Remote Sensing and 2nd Asian Space Conference, ACRS 2005; Vol. 1).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AU - Rong, Hong Du

AU - Chin, Yuan Lin

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AB - Recent advances in remote sensing technology have led to ways of estimating regional evapotranspiration from AVHRR satellite images. The newly developed MODIS satellite is being increasingly used in estimating evapotranspiration. This study aims to estimate the meteorological characteristics of Penman-Monteith method from AVHRR and MODIS images and then the evapotranspiration results are compared. Four major meteorological characteristics (air temperature, vapor pressure deficit, wind speed, and net radiation) were derived from images and station observations. The average errors of the evapotranspiration estimation were 1.197 mm/day (AVHRR) and 0.63 mm/day (MODIS), and the relative root-mean-squared errors were 0.477 (AVHRR) and 0.288 (MODIS). The verification results revealed that both MODIS and AVHRR images can be applied to estimate evapotranspiration, in which the estimation using MODIS images is better. Amount these four meteorological characteristics, the net radiation has the best estimation and the win speed was the poorest. However, the most sensitivity of the net radiation has led the worst result in estimating evapotranspiration. The accurately estimation of the net radiation is necessary in the future. Totally, the influence by the error of each meteorological characteristic was less than 11%. This suggested that this method with MODIS images is useful and practical in regional potential evapotranspiration estimation and can be suitably used in ungauged areas.

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M3 - Conference contribution

SN - 9781604237511

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Chen MK, Yu P-S, Rong HD, Chin YL. Using penman-monteith method to estimate potential evapotranspiration in taiwan by using AVHRR and MODIS satellites remote sensing data. In Asian Association on Remote Sensing - 26th Asian Conference on Remote Sensing and 2nd Asian Space Conference, ACRS 2005. 2005. p. 345-354. (Asian Association on Remote Sensing - 26th Asian Conference on Remote Sensing and 2nd Asian Space Conference, ACRS 2005).