Identifying Land Use Changes over time in Suburban Denver, CO using Landsat8 Imagery

My final project in my Spring 2023 Remote Sensing class. This project is an exploration into land classification using google earth engine via python and hydroshare's jupyter notebook. This project identifies a region in the South Metro Denver, CO, pulls in NLCD and landsat8 images from multiple years to identify changes to land cover classification over time.

本项目为本人2023年春季遥感（Remote Sensing）课程的期末项目。本次研究围绕土地分类展开探索，通过Python语言调用谷歌地球引擎（Google Earth Engine），并依托HydroShare的Jupyter Notebook完成开发。研究选取美国科罗拉多州丹佛市南都会区作为研究区域，获取多个年份的美国国家土地覆盖数据库（National Land Cover Database，NLCD）数据与陆地卫星8号（Landsat 8）影像，以此分析随时间推移的土地覆盖分类变化。