Estimation of Cassava Water Requirements by using Geospatial Data in Chon Buri, Thailand
Abstract
Agricultural, crop water requirements are significant with the one of the most crucial factors in crop cultivation. The main water is used by plant’s foliar transpiration and soil evaporation also known as “Evapotranspiration”. The water planning and management by the use of water efficiency and decrease crop damage from a water shortage is applied. This study is aimed to using the Sentinel-2 satellite imagery for determining the crop coefficient (Kc) and best fit correlation between the vegetation indices (VIs) and crop coefficient (Kc) in order to estimation of cassava water requirements by using geospatial data in Chon Buri, Thailand. The methodology first, Reference investigation data from the Royal Irrigation Department's (RID) crop coefficients and Vegetation Indies of NDVI, GNDVI, SAVI, and NDRE obtained by the Sentinel-2 image were determined. Second, the Kc was generated by linear regression analysis. Then, evapotranspiration of cassava (ETc) was estimated by the Penman-Monteith equation. The study found: the evapotranspiration of cassava varied with plant age, from 1 to 12 months were 1.21, 1.23, 1.07, 1.52, 1.98, 2.29, 3.33, 3.69, 3.36, 2.86, 2.03, and 1.51 mm/day, respectively. The estimated values were quite near to the real values which RMSE = 0.15 indicated that the estimations were of significant and reliable correlates. Keywords : Crop Evapotranspiration ; Crop coefficient ; Reference crop evapotranspiration ; Penman-Monteith ; Geospatial data (Cassava)References
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physiology, 18, 499-512. doi:10.1093/treephys/18.8-9.499
Agriculture Organization of the United Nations, 56, 26-40.
Carlson, T. N. and Ripley, D. A. (1997). On the relation between NDVI, fractional vegetation cover, and leaf area
index. Remote Sensing of Environment, 62(3), 241-252.
doi:https://doi.org/10.1016/S0034-4257(97)00104-1
Chalermpong, P. (2017). The SNAP Guide to Analysis Vegetation Index on the Sentinel 2 satellite. In. Geo-
Informatics and Space Technology Development Agency (Public Organization).
Chiemchaisri, W. (2007). Water Quality for Agricultural: Kasetsart University.
Earth Observing System. (n.d.). NDRE: Vegetation Index For Mid-To-Late Season. Retrieved October 30, 2021,
from https://eos.com/industries/agriculture/ndre/
Farg, E., Arafat, S. M., Abd El-Wahed, M. S., and El-Gindy, A. M. (2012). Estimation of Evapotranspiration ETc and
Crop Coefficient Kc of Wheat, in south Nile Delta of Egypt Using integrated FAO-56 approach and
remote sensing data. The Egyptian Journal of Remote Sensing and Space Science, 15(1), 83-89.
doi:https://doi.org/10.1016/j.ejrs.2012.02.001
Gitelson, A. A., Kaufman, Y. J., and Merzlyak, M. N. (1996). Use of a green channel in remote sensing of global
vegetation from EOS-MODIS. Remote Sensing of Environment, 58(3), 289-298.
doi:https://doi.org/10.1016/S0034-4257(96)00072-7
Huete, A. R. (1988). A soil-adjusted vegetation index (SAVI). Remote Sensing of Environment, 25(3), 295-309.
doi:https://doi.org/10.1016/0034-4257(88)90106-X
Ippolito, M., De Caro, D., Minacapilli, M., Ciraolo, G., and Provenzano, G.: Estimating Crop Coefficients using
multitemporal Sentinel-2 remote sensing data to estimate actual evapotranspiration of a citrus orchard,
EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-4650, https://doi.org/10.5194/egusphere-
egu21-4650, 2021.
Irrigation Water Management Division. (2011). Crop Water Requirement: Reference Crop Evapotranspiration &
Crop Coefficient Handbook. Office of Water Management and Hydrology, Royal Irrigation Department, 12-22. (in Thai)
Irrigation Water Management Division. (2012). Crop Coefficient of 40 Varieties. Retrieved October 16, 2021, from
http://water.rid.go.th/hwm/cropwater/CWRdata/Kc/kc_en.pdf.
Wullschleger, S., Meinzer, F., and Vertessy, R. (1998). A review of whole-plant water use studies in tree. Tree
physiology, 18, 499-512. doi:10.1093/treephys/18.8-9.499
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2023-01-04
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