Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1080/01431161.2018.1430917 |
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
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ISSN | 0143-1161 |
EISSN | 1366-5901 |
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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