Estimating of Actual Crops Evapotranspiration Using Energy Balance Algorithms in Qazvin Plain

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Bahmanabadi Bahare; KAVIANI ABBAS; Daneshkar Araste Peyman; NAZARI RASTA

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: IRANIAN JOURNAL OF ECOHYDROLOGY Year:2019 | Volume:5 | Issue:4 Page(s): 1103-1117

Download Full-Text

Persian Verion

View:

1,011

Download:

Cites:

Information Journal Paper

Title

Estimating of Actual Crops Evapotranspiration Using Energy Balance Algorithms in Qazvin Plain

Author(s)

Bahmanabadi Bahare | KAVIANI ABBAS | Daneshkar Araste Peyman | NAZARI RASTA | Issue Writer Certificate

Keywords

EvapotranspirationQ2

Satellite ImageriesQ2

Single source and Two source AlgorithmsQ3

Abstract

The estimation of Evapotranspiration is one of the most important parameters in irrigation planning. In this research, drainage lysimeter data and three single-source energy balance, SEBAL, METRIC and SSEB and a two source energy balance algorithm, TSEB have been evaluated. Satellite Imageries of MODIS, ETM + sensors were used in the years 1379-1382 according to the lysimeter data loading and OLI & TIRS sensor images in 1392-1395. It should be noted that, the mismatching of the OLI & TIRS images timing with the lysimeter data timing, cause to try to evaluate the results of OLI images with Hargreaves Sarmari equation as a superior experimental method. According to the statistical indices, the results obtained from single-source algorithms showed that the SSEB algorithm with the lowest root mean square error in MODIS, ETM + and OLI & TIRS (RMSE = 0. 87, 0. 41 and 0. 92 mm per day), and a large correlation It was introduced with lysimeter data as the best method in this area (R = 0. 97, 0. 99, 0. 96). Among the sensors examined, ETM +, OLI & TIRS sensitivity is high on the two sensors, but the ETM + sensor also has better results.

Cites

No record.

References

No record.

Cite

APA: Copy

Bahmanabadi, Bahare, KAVIANI, ABBAS, Daneshkar Araste, Peyman, & NAZARI, RASTA. (2019). Estimating of Actual Crops Evapotranspiration Using Energy Balance Algorithms in Qazvin Plain. IRANIAN JOURNAL OF ECOHYDROLOGY, 5(4 ), 1103-1117. SID. https://sid.ir/paper/254120/en

Vancouver: Copy

Bahmanabadi Bahare, KAVIANI ABBAS, Daneshkar Araste Peyman, NAZARI RASTA. Estimating of Actual Crops Evapotranspiration Using Energy Balance Algorithms in Qazvin Plain. IRANIAN JOURNAL OF ECOHYDROLOGY[Internet]. 2019;5(4 ):1103-1117. Available from: https://sid.ir/paper/254120/en

IEEE: Copy

Bahare Bahmanabadi, ABBAS KAVIANI, Peyman Daneshkar Araste, and RASTA NAZARI, “Estimating of Actual Crops Evapotranspiration Using Energy Balance Algorithms in Qazvin Plain,” IRANIAN JOURNAL OF ECOHYDROLOGY, vol. 5, no. 4 , pp. 1103–1117, 2019, [Online]. Available: https://sid.ir/paper/254120/en

Related Journal Papers