Research on Landform Classification of Beijing-Tianjin-Hebei Region Based on SRTM Remote Sensing Image Data

Abstract

In this paper, Beijing-Tianjin-Hebei region was selected as the research area, and ArcGIS geographic information system was used as a platform to study the elevation data of SRTM-1 in the study area and draw the elevation classification thematic map. The neighborhood analysis method is used to classify the terrain relief and draw the classification map of undulation degree. Using window analysis and mean-point change analysis, the Python module programming is used to automatically extract the best statistical units for topographic relief, and reference is made to the past landform morphological division criteria. Combined with the actual landforms in this area, the topographic relief and DEM are used for the best statistical unit, the study area is divided into 3 categories: plain basin area, low mountain and hilly area, and plateau mountainous area, the classification map of the Beijing-Tianjin-Hebei area is compiled and the area occupied by the various types of landscape is calculated. Compared with most of the current scholars who use SRTM-3 data, this study has improved the accuracy, enhanced the reliability of the topographic relief research and landform classification research, and provided the basis for geomorphological studies in the Beijing-Tianjin-Hebei region.