Knowledge Resource Center for Ecological Environment in Arid Area
Using a time series of Landsat TM data for digital mapping to fill information gaps in topsoil texture central Tunisia | |
Shabou, Marouen1,2; Mougenot, Bernard1; Chabaane, Zohra Lili2; Walter, Christian3; Boulet, Gilles1; Ben Aissa, Nadhira2; Zribi, Mehrez1 | |
通讯作者 | Shabou, Marouen |
会议名称 | 1st International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) |
会议日期 | MAR 17-19, 2014 |
会议地点 | Sousse, TUNISIA |
英文摘要 | In arid and semi-arid areas, bare soils occupy a larger area than the vegetation cover. The vegetation covers only 10% to 30% of the soil surface with seasonal chlorophyll activity. The soil surface should thus be directly detectable by remote sensing. Concerning our study site in central Tunisia, existing soil maps are neither exhaustive nor sufficiently precise for environmental modeling or thematic mapping. The main purpose of our study was to produce topsoil texture map at fine spatial resolution over our area by combination of Landsat Thematic Mapper data. Landsat images were acquired in summer and in the plowing and sowing period in fall. A maximum of one image was selected per year. Vegetation areas were masked using a sill of the normalized difference vegetation index for each image. Relationships between textural indices (MID-Infrared) and particle size analysis were studied and were used to produce clay map at a spatial resolution of 30 m. Ordinary kriging and cokriging, by combining more than one image, were used to fill in the gaps created by the vegetation mask and to predict clay content of each pixel of the image at 100 m grid spatial resolution. Results showed that ordinary kriging can identify certain linear structures such as the wadi bed with low estimated clay content. Cokriging using more than one date improved the prediction of the soil fraction over the masked area. |
英文关键词 | Soil texture remote sensing Landsat Thematic Mapper Digital mapping Textural soil indices |
来源出版物 | 2014 1ST INTERNATIONAL CONFERENCE ON ADVANCED TECHNOLOGIES FOR SIGNAL AND IMAGE PROCESSING (ATSIP 2014) |
出版年 | 2014 |
页码 | 417-422 |
EISBN | 978-1-4799-4888-8 |
出版者 | IEEE |
类型 | Proceedings Paper |
语种 | 英语 |
国家 | France;Tunisia |
收录类别 | CPCI-S |
WOS记录号 | WOS:000356612100072 |
WOS类目 | Engineering, Electrical & Electronic ; Imaging Science & Photographic Technology |
WOS研究方向 | Engineering ; Imaging Science & Photographic Technology |
资源类型 | 会议论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/302698 |
作者单位 | 1.CESBIO, Toulouse, France; 2.Univ Carthage, GREF Dept, INAT, Tunis, Tunisia; 3.Agrocampus Ouest, SAS, UMR 1069, Rennes, France |
推荐引用方式 GB/T 7714 | Shabou, Marouen,Mougenot, Bernard,Chabaane, Zohra Lili,et al. Using a time series of Landsat TM data for digital mapping to fill information gaps in topsoil texture central Tunisia[C]:IEEE,2014:417-422. |
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