Mapping sediment types of muddy intertidal zone by means of TM remote sensing image

Abstract

<span style="font-size:9.0pt;mso-bidi-font-size: 11.0pt;font-family:" times="" new="" roman";mso-fareast-font-family:simsun;mso-bidi-font-family:="" mangal;mso-ansi-language:en-gb;mso-fareast-language:zh-cn;mso-bidi-language:="" hi"="" lang="EN-GB">Based on in situ samples collected in an intertidal zone of Jiangsu province in China, this approach aims to map spatial distribution of sediment type via Landsat TM remote sensing data. Results demonstrated that TM₄ possessed a linear relationship with the percentage of sediment components (sand, silt and clay). Further, we established models to predict the percentage of each sediment component and map distributions in TM image. Based on retrieved percentage and integrated with a well-known Shepard classification method, sediment types were determinated. It is showed that the remote sensing retrieval method could be well utilized for dynamic monitoring and analyzing of the depositional environment changes in muddy intertidal flat region.</span>