Arid
DOI10.3390/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
ISSN2072-4292
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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