Arid
DOI10.17221/178/2020-SWR
Assessment and mapping of soil salinity using electromagnetic induction and Landsat 8 OLI remote sensing data in an irrigated olive orchard under semi-arid conditions
Gharsallah, Mohamed Elhedi; Aichi, Hamouda; Stambouli, Talel; Ben Rabah, Zouhair; Ben Hassine, Habib
通讯作者Aichi, H (corresponding author), Univ Carthage, Higher Sch Agr Educ, Lab Agr Prod Syst & Sustainable Dev, Tunis, Tunisia.
来源期刊SOIL AND WATER RESEARCH
ISSN1801-5395
EISSN1805-9384
出版年2021-10
英文摘要Salinisation threatens the sustainability of irrigated olive orchards in Tunisia. Electromagnetic induction measurements and soil spectral index calculations could help to survey the soil salinity. This study aimed to map changes in the soil salinity spatial pattern using geostatistical techniques and soil spectral index regression. The study area is located in Sminja, Tunisia. It is a 665 ha olive orchard, landscaped in ridges and furrows and managed following a very high-density planting system (1.5 x 4 m(2)). Electromagnetic readings measured in situ with an electromagnetic device (EM38) that was fitted, in turn, to the electrical conductivity of the saturated paste of five soil depths namely: 0-20, 20-40, 40-60, 60-80 and 80-100 cm and to the average electrical conductivity of the saturated paste of the 0-100 cm soil depth. Both the ordinary kriging and universal kriging performed similarly and well in mapping the soil salinity. (R-2=0.86 and 0.89 for the 0-20 cm and the 0-100 cm depths, respectively). Our results prove that mapping the soil salinity based on electromagnetic induction and kriging methods is an effective approach, which allows one to monitor the soil salinity within permanent croplands in semi-arid conditions. Salinisation that reaches intolerable values by olive trees, is especially accumulated on the top of the ridges, where the drippers are installed. Furthermore, based on two Landsat 8 images acquired on April 30, 2019 and May 16, 2019, respectively, we calculated seven soil spectral indices. Nevertheless, multiple regression models between the electromagnetic readings and various combinations of soil spectral indices were poor. In the coming investigations, under permanent land cover, spectral index regression models should integrate not only the soil, but also vegetation indices.
英文关键词EM38 geostatiscs kriging olive grove soil salinisation Tunisia
类型Article ; Early Access
语种英语
收录类别SCI-E
WOS记录号WOS:000710521300001
WOS关键词SPATIAL VARIABILITY
WOS类目Soil Science ; Water Resources
WOS研究方向Agriculture ; Water Resources
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/367630
作者单位[Gharsallah, Mohamed Elhedi] Univ Carthage, Natl Agron Inst Tunisia, Lab Agr Prod Syst & Sustainable Dev, Tunis, Tunisia; [Aichi, Hamouda; Stambouli, Talel; Ben Hassine, Habib] Univ Carthage, Higher Sch Agr Educ, Lab Agr Prod Syst & Sustainable Dev, Tunis, Tunisia; [Ben Rabah, Zouhair] Minist Natl Def, Natl Ctr Mapping & Remote Sensing, Tunis, Tunisia
推荐引用方式
GB/T 7714
Gharsallah, Mohamed Elhedi,Aichi, Hamouda,Stambouli, Talel,et al. Assessment and mapping of soil salinity using electromagnetic induction and Landsat 8 OLI remote sensing data in an irrigated olive orchard under semi-arid conditions[J],2021.
APA Gharsallah, Mohamed Elhedi,Aichi, Hamouda,Stambouli, Talel,Ben Rabah, Zouhair,&Ben Hassine, Habib.(2021).Assessment and mapping of soil salinity using electromagnetic induction and Landsat 8 OLI remote sensing data in an irrigated olive orchard under semi-arid conditions.SOIL AND WATER RESEARCH.
MLA Gharsallah, Mohamed Elhedi,et al."Assessment and mapping of soil salinity using electromagnetic induction and Landsat 8 OLI remote sensing data in an irrigated olive orchard under semi-arid conditions".SOIL AND WATER RESEARCH (2021).
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