Evaluating the SSEBop and RSPMPT Models for Irrigated Fields Daily Evapotranspiration Mapping with MODIS and CMADS Data

Qifeng Zhuang, Yintao Shi, Hua Shao, Gang Zhao and Dong Chen
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Qifeng Zhuang: College of Geomatics Science and Technology, Nanjing Tech University, Nanjing 211816, China
Yintao Shi: College of Geomatics Science and Technology, Nanjing Tech University, Nanjing 211816, China
Hua Shao: College of Geomatics Science and Technology, Nanjing Tech University, Nanjing 211816, China
Gang Zhao: Jiangsu Provincial Hydraulic Research Institute, Nanjing 210017, China
Dong Chen: College of Geomatics Science and Technology, Nanjing Tech University, Nanjing 211816, China

Agriculture, 2021, vol. 11, issue 5, 1-18

Abstract: It is of great convenience to map daily evapotranspiration (ET) by remote sensing for agricultural water management without computing each surface energy component. This study used the operational simplified surface energy balance (SSEBop) and the remote sensing-based Penman–Monteith and Priestly–Taylor (RSPMPT) models to compute continuous daily ET over irrigated fields with the MODIS and CMADS data. The estimations were validated with eddy covariance (EC) measurements. Overall, the performance of RSPMPT with locally calibrated parameters was slightly better than that of SSEBop, with higher NSE (0.84 vs. 0.78) and R 2 (0.86 vs. 0.81), lower RMSE (0.78 mm·d −1 vs. 0.90 mm·d −1 ), although it had higher bias (0.03 mm·d −1 vs. 0.01 mm·d −1 ) and PBias (1.41% vs. 0.59%). Due to the consideration of land surface temperature, the SSEBop was more sensitive to ET’s change caused by irrigation before sowing in March and had a lower PBias (6.7% vs. 39.8%) than RSPMPT. On cloudy days, the SSEBop is more likely to overestimate ET than the RSPMPT. To conclude, driven by MODIS and CMADS data, the two simple models can be easily applied to map daily ET over cropland. The SSEBop is more practical in the absence of measured data to optimize the RSPMPT model parameters.

Keywords: evapotranspiration; remote sensing; RSPMPT; SSEBop; CMADS (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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