盘锦市湿地信息提取与动态变化监测

Wetland information extraction and dynamic monitoring of Panjin

针对近年来盘锦市湿地动态变化信息相对匮乏的问题,提出了基于Landsat遥感影像,采用决策树模型进行湿地信息提取,运用景观生态学及转移矩阵模型进行湿地变化分析的湿地动态变化监测方法。在决策树分类技术支持下,实现光谱特征、环境特征和空间特征等多特征融合,完成研究区三期湿地信息提取。通过与地理国情监测数据对比分析,验证了实验提取结果满足湿地动态变化监测需求。实验结果表明,所提方法可以从空间格局、景观格局及空间演变特征上,对盘锦市湿地变化进行全面的定性和定量分析,研究结果可供盘锦市湿地的管理和保护工作参考。

In view of the relative lack of dynamic change information about Panjin wetland in recent years, this paper put forward an idea of wetland dynamic change monitoring based on Landsat remote sensing image. It used decision tree model to extract wetland information and apply landscape ecology and transfer matrix model to analyze dynamic changes in wetland. With the support of decision tree classifica- tion technology, multi-feature fusion was achieved by spectral features, environmental features and spatial features, and the three phases of wetland information were extracted. The experimental results based on the change analysis of wetland in Panjin City showed that the proposed method could analyze the wetland changes in Panjin City quantitatively and qualitatively by spatial pattern, landscape pattern and spatial evolution comprehensively with satisfying accuracy, which would provide a reference for the management and protection of wetland in Panjin city.