基于多时相遥感和GIS技术的湿地识别研究

本以江苏省洪泽湖湿地为例,首先利用秋季成像的TM影像进行分类,采用了混和分类法。然后利用同年度春季成像的TM影像制作湖泊掩膜来纠正分类中湿地类型与高地类型的错分现象。研究发现,该方法能有效地降低分类的误差,提高分类的精度。

Identification on Wetland Based on GIS and Multi-temporal Remote Sensing Images

Wetland, which is called "the kidney of the Earth", plays a significant role in the global ecosystem. However, recently, wetland is endangered or is being damaged due to the development of economy. Some wetlands or their functions have been lost. The protection of the wetland has drawn more and more attention.. And the understanding of wetland status and its evolution law is the prerequisite for establishing the protection measurements. Remote sensing is an efficient tool in the investigation of wetland resources. In the paper, Hongze Lake, one of the five big fresh lakes in China, has been taken as a test area and remotely sensed data of two dates are used to identify the wetland. At first, Hybrid classification scheme is used to classify the remote sensing images acquired on September 16, 2000. Then GIS rules are used to improve the accuracy of the classification. It is found that the method used here is practical and efficient.