气候变化领域集成服务门户(CCPortal): Irrigation retrieval from Landsat optical/thermal data integrated into a crop water balance model: A case study over winter wheat fields in a semi-arid region

CCPortal

DOI	10.1016/j.rse.2019.111627
	Irrigation retrieval from Landsat optical/thermal data integrated into a crop water balance model: A case study over winter wheat fields in a semi-arid region
	Olivera-Guerra L.; Merlin O.; Er-Raki S.
发表日期	2020
ISSN	00344257
卷号	239
英文摘要	Monitoring irrigation is essential for an efficient management of water resources in arid and semi-arid regions. We propose to estimate the timing and the amount of irrigation throughout the agricultural season using optical and thermal Landsat-7/8 data. The approach is implemented in four steps: i) partitioning the Landsat land surface temperature (LST) to derive the crop water stress coefficient (Ks), ii) estimating the daily root zone soil moisture (RZSM) from the integration of Landsat-derived Ks into a crop water balance model, iii) retrieving irrigation at the Landsat pixel scale and iv) aggregating pixel-scale irrigation estimates at the crop field scale. The new irrigation retrieval method is tested over three agricultural areas during four seasons and is evaluated over five winter wheat fields under different irrigation techniques (drip, flood and no-irrigation). The model is very accurate for the seasonal accumulated amounts (R ~ 0.95 and RMSE ~ 44 mm). However, lower agreements with observed irrigations are obtained at the daily scale. To assess the performance of the irrigation retrieval method over a range of time periods, the daily predicted and observed irrigations are cumulated from 1 to 90 days. Generally, acceptable errors (R = 0.52 and RMSE = 27 mm) are obtained for irrigations cumulated over 15 days and the performance gradually improves by increasing the accumulation period, depicting a strong link to the frequency of Landsat overpasses (16 days or 8 days by combining Landsat-7 and -8). Despite the uncertainties in retrieved irrigations at daily to weekly scales, the daily RZSM and evapotranspiration simulated from the retrieved daily irrigations are estimated accurately and are very close to those estimated from actual irrigations. This research demonstrates the utility of high spatial resolution optical and thermal data for estimating irrigation and consequently for better closing the water budget over agricultural areas. We also show that significant improvements can be expected at daily to weekly time scales by reducing the revisit time of high-spatial resolution thermal data, as included in the TRISHNA future mission requirements. © 2020 Elsevier Inc.
英文关键词	Evapotranspiration; FAO-56 model; Irrigation; Land surface temperature; Landsat; Root-zone soil moisture
语种	英语
scopus关键词	Arid regions; Atmospheric temperature; Budget control; Climate models; Crops; Evapotranspiration; Image resolution; Information retrieval; Land surface temperature; Pixels; Soil moisture; Surface measurement; Surface properties; Uncertainty analysis; Water management; Accumulation periods; Agricultural areas; Arid and semi-arid regions; Efficient managements; High spatial resolution; LANDSAT; Root zone soil moistures; Water balance models; Irrigation; evapotranspiration; flood; land surface; Landsat; model; satellite data; seasonal variation; semiarid region; spatial resolution; water budget; water stress; wheat; winter; Triticum aestivum
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179456
作者单位	Centre d'Etudes Spatiales de la Biosphère (CESBIO), Université de Toulouse, CNES, CNRS, IRD, UPS, Toulouse, France; LP2M2E, Département de Physique Appliquée, Faculté des Sciences et Techniques, Université Cadi Ayyad, Marrakech, Morocco; Center for Remote Sensing Application (CRSA), University Mohammed VI Polytechnic (UM6P), Benguerir, Morocco
推荐引用方式 GB/T 7714	Olivera-Guerra L.,Merlin O.,Er-Raki S.. Irrigation retrieval from Landsat optical/thermal data integrated into a crop water balance model: A case study over winter wheat fields in a semi-arid region[J],2020,239.
APA	Olivera-Guerra L.,Merlin O.,&Er-Raki S..(2020).Irrigation retrieval from Landsat optical/thermal data integrated into a crop water balance model: A case study over winter wheat fields in a semi-arid region.Remote Sensing of Environment,239.
MLA	Olivera-Guerra L.,et al."Irrigation retrieval from Landsat optical/thermal data integrated into a crop water balance model: A case study over winter wheat fields in a semi-arid region".Remote Sensing of Environment 239(2020).