Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.3390/rs6065387 |
FAO-56 Dual Model Combined with Multi-Sensor Remote Sensing for Regional Evapotranspiration Estimations | |
Amri, Rim1,2; Zribi, Mehrez1; Lili-Chabaane, Zohra2; Szczypta, Camille1; Calvet, Jean Christophe3; Boulet, Gilles1 | |
通讯作者 | Amri, Rim |
来源期刊 | REMOTE SENSING
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ISSN | 2072-4292 |
出版年 | 2014 |
卷号 | 6期号:6页码:5387-5406 |
英文摘要 | The main goal of this study is to evaluate the potential of the FAO-56 dual technique for the estimation of regional evapotranspiration (ET) and its constituent components (crop transpiration and soil evaporation), for two classes of vegetation (olives trees and cereals) in the semi-arid region of the Kairouan plain in central Tunisia. The proposed approach combines the FAO-56 technique with remote sensing (optical and microwave), not only for vegetation characterization, as proposed in other studies but also for the estimation of soil evaporation, through the use of satellite moisture products. Since it is difficult to use ground flux measurements to validate remotely sensed data at regional scales, comparisons were made with the land surface model ISBA-A-gs which is a physical SVAT (Soil-Vegetation-Atmosphere Transfer) model, an operational tool developed by Meteo-France. It is thus shown that good results can be obtained with this relatively simple approach, based on the FAO-56 technique combined with remote sensing, to retrieve temporal variations of ET. The approach proposed for the daily mapping of evapotranspiration at 1 km resolution is approved in two steps, for the period between 1991 and 2007. In an initial step, the ISBA-A-gs soil moisture outputs are compared with ERS/WSC products. Then, the output of the FAO-56 technique is compared with the output generated by the SVAT ISBA-A-gs model. |
英文关键词 | evapotranspiration FAO-56 NDVI soil moisture ERS/WSC SPOT-VGT |
类型 | Article |
语种 | 英语 |
国家 | France ; Tunisia |
收录类别 | SCI-E |
WOS记录号 | WOS:000338763300032 |
WOS关键词 | SOIL-MOISTURE ESTIMATION ; FRANCE CLIMATE MODEL ; ERS SCATTEROMETER ; SURFACE MOISTURE ; SEMIARID REGION ; TIME-SERIES ; RADAR DATA ; ISBA ; VEGETATION ; PARAMETERIZATION |
WOS类目 | Remote Sensing |
WOS研究方向 | Remote Sensing |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/184671 |
作者单位 | 1.CESBIO UMR 5126, F-31401 Toulouse 9, France; 2.Univ Carthage INAT, GREF, Tunis 1082, Tunisia; 3.CNRS, CNRM GAME, Meteo France, URA 1357, F-31057 Toulouse 1, France |
推荐引用方式 GB/T 7714 | Amri, Rim,Zribi, Mehrez,Lili-Chabaane, Zohra,et al. FAO-56 Dual Model Combined with Multi-Sensor Remote Sensing for Regional Evapotranspiration Estimations[J],2014,6(6):5387-5406. |
APA | Amri, Rim,Zribi, Mehrez,Lili-Chabaane, Zohra,Szczypta, Camille,Calvet, Jean Christophe,&Boulet, Gilles.(2014).FAO-56 Dual Model Combined with Multi-Sensor Remote Sensing for Regional Evapotranspiration Estimations.REMOTE SENSING,6(6),5387-5406. |
MLA | Amri, Rim,et al."FAO-56 Dual Model Combined with Multi-Sensor Remote Sensing for Regional Evapotranspiration Estimations".REMOTE SENSING 6.6(2014):5387-5406. |
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