Arid
DOI10.1080/01431161.2018.1430917
Remote-sensing estimation of the water stress coefficient and comparison with drought evidence
Abid, Nesrine1; Bargaoui, Zoubeida1; Mannaerts, Chris M.2
通讯作者Abid, Nesrine
来源期刊INTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN0143-1161
EISSN1366-5901
出版年2018
卷号39期号:14页码:4616-4639
英文摘要

Drought assessment of croplands and sylvo-pastoral areas is crucial in semi-arid regions. Satellite remote sensing offers an opportunity for such assessment. This study presents a method of spatial and temporal estimation of drought index in Medjerda basin (23,700km(2)) using satellite data and its validation with in situ investigation of areas with crop damage realized by the ministry of agriculture. To estimate drought index, potential evapotranspiration (PET) is calculated using Penman-Monteith equation and modified FAO-56 crop coefficient (K-c) approach combined with remote-sensing data and actual evapotranspiration is derived from the Meteosat Second Generation platforms. The period of study is the 2010 water year. PET estimations show good accuracy with corrected pan evaporation observations up to 0.9. In comparison, the water stress coefficient (K-s) aggregated by land-cover type shows the coefficient of determination with the fraction of drought damage areas of 0.5 for the third decade of March and first decade of April in croplands areas and 0.8 for the second and third decades of May in croplands and sylvo-pastoral areas. This study showed that satellite data approaches could successfully be used to monitor drought in river basins in the Northern Africa and Mediterranean region.


英文关键词Drought stress coefficient (K-s) actual evapotranspiration (AET) NDVI FVC satellite application facility (LSA SAF) crop coefficient (K-c)
类型Article
语种英语
国家Tunisia ; Netherlands
收录类别SCI-E
WOS记录号WOS:000441646800004
WOS关键词SEMIARID REGION ; VEGETATION ; EVAPOTRANSPIRATION ; INDEXES ; FAO-56 ; MODEL ; SOIL ; PLAINS ; WHEAT
WOS类目Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向Remote Sensing ; Imaging Science & Photographic Technology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/210254
作者单位1.ENIT Univ Tunis El Manar, Ecole Natl Ingenieurs Tunis, Tunis, Tunisia;
2.Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, Enschede, Netherlands
推荐引用方式
GB/T 7714
Abid, Nesrine,Bargaoui, Zoubeida,Mannaerts, Chris M.. Remote-sensing estimation of the water stress coefficient and comparison with drought evidence[J],2018,39(14):4616-4639.
APA Abid, Nesrine,Bargaoui, Zoubeida,&Mannaerts, Chris M..(2018).Remote-sensing estimation of the water stress coefficient and comparison with drought evidence.INTERNATIONAL JOURNAL OF REMOTE SENSING,39(14),4616-4639.
MLA Abid, Nesrine,et al."Remote-sensing estimation of the water stress coefficient and comparison with drought evidence".INTERNATIONAL JOURNAL OF REMOTE SENSING 39.14(2018):4616-4639.
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