基于遥感数据的土地利用监测研究
Research on Land Use Monitoring Based on Remote Sensing Data

为了准确掌握土地利用现状，为土地资源管理与规划等提供数据支撑，本文以卫星遥感影像数据为基础，提出基于ArcGIS空间分析的土地利用变更监测方法。该变更监测方法的实现的步骤为：首先，针对遥感影像中存在的噪声点等干扰信息，基于ArcGIS完成影像的滤波与增强处理；其次，向分类模块中输入处理后的遥感影像，通过多尺度土地利用多分类网络进行土地利用分类；最后，在土地分类结果的基础上，计算土地利用转移矩阵、动态度以及年综合变化率结果，并通过计算土地变化指标反映土地利用现状的改变，实现土地利用变更监测。通过某省卫星影像数据进行实验，结果表明，本文方法能够有效降低噪声对图像质量的影响，有效完成土地利用类别的提取，准确识别土地变更区域。
In order to accurately grasp the current situation of land use and provide data support for land resource management and planning, this paper proposes a land use change monitoring method based on satellite remote sensing image data and ArcGIS spatial analysis. The implementation steps of this change monitoring method are as follows: firstly, to address the interference information such as noise points in remote sensing images, the image filtering and enhancement processing are completed based on ArcGIS; secondly, input the processed remote sensing images into the classification module and use a multi-scale land use multi classification network for land use classification; finally, based on the land classification results, calculate the land use transfer matrix, dynamic degree, and annual comprehensive change rate results, and reflect the changes in land use status through the calculation of land change indicators, achieving land use change monitoring. Through experiments on satellite image data from a certain province, the results show that the method proposed in this paper can effectively reduce the impact of noise on image quality, effectively extract land use categories, and accurately identify land change areas.