Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1109/IGARSS.2011.6049388 |
EMPIRICAL MODEL FOR SOIL SALINITY MAPPING FROM SAR DATA | |
Grissa, M.1; Abdelfattah, R.1,2; Mercier, G.2; Zribi, M.3; Chahbi, A.4; Lili-Chabaane, Z.4 | |
通讯作者 | Grissa, M. |
会议名称 | IEEE International Geoscience and Remote Sensing Symposium (IGARSS) |
会议日期 | JUL 24-29, 2011 |
会议地点 | Vancouver, CANADA |
英文摘要 | Soil salinization is one of the most hazardous phenomenon accelerating the land degradation processes. Mapping and tracking soil salinity changes is fundamental for anticipating natural disaster, such as desertification, in arid and semi-arid regions. In this work, we establish an empirical model for soil salinity mapping based on a gaussian mixture and using field electrical conductivity (EC) measures. The developed model is tested on saline soil samples collected from the semi-arid region of Kairouan located in central Tunisia. It is based on statistical moments derived from multiband (HH and VV) intensity synthetic aperture radar (SAR) data of the Envisat satellite. The resulting salinity map is composed of three classes of salinity (Low, Medium and High) with respect to the EC measurements. The developed model is validated for low salinity distribution, whereas, it needs more samples to be generalized for medium and high soil salinity content. |
英文关键词 | SAR mixture model soil salinity electrical conductivity mapping |
来源出版物 | 2011 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) |
ISSN | 2153-6996 |
出版年 | 2011 |
页码 | 1099-1102 |
EISBN | 978-1-4577-1005-6 |
出版者 | IEEE |
类型 | Proceedings Paper |
语种 | 英语 |
国家 | Tunisia;France |
收录类别 | CPCI-S |
WOS记录号 | WOS:000297496301043 |
WOS类目 | Engineering, Electrical & Electronic ; Geosciences, Multidisciplinary ; Remote Sensing |
WOS研究方向 | Engineering ; Geology ; Remote Sensing |
资源类型 | 会议论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/299882 |
作者单位 | 1.Univ Carthage, Ecole Super Telecoms, Route Raoued,Km 3-5, El Ghazala 2083, Tunisia; 2.Telecom Bretagne Technopole Brest Iroise, Inst Telecom, F-29238 Brest 3, France; 3.Inst Rech pour dev, Tunis 1004, Tunisia; 4.Inst Natl Agronomique Tunisie, Tunis, Tunisia |
推荐引用方式 GB/T 7714 | Grissa, M.,Abdelfattah, R.,Mercier, G.,et al. EMPIRICAL MODEL FOR SOIL SALINITY MAPPING FROM SAR DATA[C]:IEEE,2011:1099-1102. |
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