Estimation of wet direct-seeding rice Evapotranspiration in Irrigated Areas of Chao Phraya Basin by using remote sensing technology

  • ณัฐพล เย็นสกุลสุข ภาควิชาวิศวกรรมสํารวจ คณะวิศวกรรมศาสตร์ จุฬาลงกรณ์มหาวิทยาลัย
  • THONGTHIT CHAYAKULA Department of Survey Engineering Faculty of Engineering Chulalongkorn University
Keywords: RemoteSensing, Normalized Difference Vegetation Index, Evapotranspiration, Penman-Monteith equation

Abstract

Evapotranspiration of plants is one of the important data for planning water allocation in agricultural irrigation system in term of suitability for storage amount and efficient supply. This research aims to estimation of wet direct-seeding rice Evapotranspiration in the irrigated areas of Chao Phraya Basin. The study the relationship between Normalized Difference Vegetation Index (NDVI) derived from sentinel-2 satellite imagery and Crop Coefficient (Kc) referenced from Royal Irrigation Department by using simple linear regression analysis and and ET value calculation through multiplying Crop Coefficient (Kc) derived from NDVI and Reference Crop Evapotranspiration (ETo). The result of the study on paddy field samples indicates that the minimum value of Kc derived from NDVI is 0.8162, meanwhile, the maximum value is 1.6366 and the average value is 1.3321. Whereas, the minimum value of ET, calculated by Kc derived from NDVI is 3.1079 mm/day, the maximum value is 6.9011 mm/day and the average value is 5.4411 mm/day.

Downloads

Download data is not yet available.

References

Dalla Marta, A., Chirico, G. B., Falanga Bolognesi, S., Mancini, M., D’Urso, G., Orlandini, S., . . . Altobelli, F. (2019). Integrating Sentinel-2 Imagery with AquaCrop for Dynamic Assessment of Tomato Water Requirements in Southern Italy. Agronomy, 9(7).

Kamble, B., Kilic, A., & Hubbard, K. (2013). Estimating Crop Coefficients Using Remote Sensing-Based Vegetation Index. Remote Sensing, 5(4), 1588-1602. doi:10.3390/rs5041588.

Reyes-González, A., Kjaersgaard, J., Trooien, T., Hay, C., & Ahiablame, L. (2018). Estimation of Crop Evapotranspiration Using Satellite Remote Sensing-Based Vegetation Index. Advances in Meteorology, 2018, 1-12.

Richard G Allen, L. S. Pereira, D. Raes, & Smith, M. (1998). FAO Irrigation and drainage paper No. 56.

Rouse, J. W., Jr.,, Haas, R. H., Schell, J. A., & Deering, D. W. (1974). Monitoring vegetation systems in the Great Plains with ERTS. NASA Special Publication, 351, 309.

กรมชลประทาน. (2554). ปริมาณการใช้น้ำของพืชอ้างอิงโดยวิธีของ Penman – Monteith

กรมชลประทาน. (2555). ค่าสัมประสิทธิ์พืชโดยวิธี Penman – Monteith

วราวุธ วุฒิวณิชย์ และพีระชาติ อุดาการ. (2546). การศึกษาหาค่าปริมาณการใช้น้ำและสัมประสิทธิ์การใช้น้ำขององุ่น. วิศวกรรมสาร มก, 54-65

สถาบันสารสนเทศทรัพยากรน้ำและการเกษตร. (2555). โครงการพัฒนาระบบคลังข้อมูล 25 ลุ่มน้ำ
Published
2020-07-08
How to Cite
[1]
เย็นสกุลสุขณ. and CHAYAKULA, T. 2020. Estimation of wet direct-seeding rice Evapotranspiration in Irrigated Areas of Chao Phraya Basin by using remote sensing technology. The 25th National Convention on Civil Engineering. 25, (Jul. 2020), SGI16.
Section
Survey and Geographic Information System Engineering