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首页> 外文会议>International symposium on remote sensing of environment;ISRSE-33 >Monitoring the Ichkeul Marches Vegetations (North Tunisia): the Use of Object-Oriented Multi-Resolution Image Classification and the Combined Topographic-Bathymetric Model
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Monitoring the Ichkeul Marches Vegetations (North Tunisia): the Use of Object-Oriented Multi-Resolution Image Classification and the Combined Topographic-Bathymetric Model

机译：监测艾奇凯尔行军的植被（北突尼斯）：面向对象的多分辨率图像分类和组合的地形测深模型的使用

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摘要

The purpose of this study is to show the feasibility of the integrated topographic-bathymetric data to improve the object-oriented classification of a multi-spectral imagery in order to monitor the coastal wetland vegetation. The study area concerns the Ichkeul Park : lake, marshes and mountain located in the north of Tunisia. First we settle the integrated topographic-bathymetric digital terrain model (DTM) by combining three datasets: the lake bathymetry, the marshes and the mountain topographies. Then the new topographic-bathymetric DTM was used with multi-spectral imagery from the MSS Landsat (1972), TM Landsat (1987), ETM+ Landsat (2001) and Aster (2007) in order to classify Ichkeul marshes. This is done by using the object-oriented classification based on botanic field observations. This method improved global precision of marshes vegetation mapping. It gives a 92% global classification precision with more than nine communities in 2007. However an Aster supervised classification based on pixel approach allowed identifying four plant associations with a global precision of 82% (Ghrabi and al. 2006). We provide herein therefore an operational tool to monitor any changes in wetland areas.
机译：这项研究的目的是展示整合地形测深数据以改善多光谱图像的面向对象分类以监测沿海湿地植被的可行性。研究区域涉及Ichkeul公园：位于突尼斯北部的湖泊，沼泽和山脉。首先，我们通过合并三个数据集（湖泊测深法，沼泽地和山区地形）来建立集成的地形测深数字地形模型（DTM）。然后，将新的地形测深DTM与来自MSS Landsat（1972），TM Landsat（1987），ETM + Landsat（2001）和Aster（2007）的多光谱图像一起使用，以对Ichkeul沼泽进行分类。这是通过使用基于植物场观察的面向对象分类来完成的。该方法提高了沼泽植被映射的整体精度。它在2007年为9个以上的社区提供了92％的全球分类精度。但是，基于像素方法的Aster监督分类可以识别全球精度为82％的四个植物协会（Ghrabi等，2006）。因此，我们在此提供一种可监测湿地面积变化的操作工具。

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