鄂西北地区矿山生态修复植被适应性研究

Study on vegetation adaptability of mine ecological restoration in Northwest Hubei Province

工业生产消耗了大量矿产资源,而资源的开采过程中占用了大量的森林以及居民用地,为此提出鄂西北地区矿山生态修复植被适应性研究。依据矿区遥感图像信息表示的实际地物,对地物信息进行提取,采用机器学习法完成植被覆盖数据的自动“学习”,对不同区域植被覆盖样本进行获取,更新矿区生态修复情况数据。根据矿区实际情况制定出有针对性的生态修复措施,种植植被前需对选用种类进行调查,选择合适的种植品种,以保证矿区生态环境得到改善。

Industrial production consumes a lot of mineral resources,and the exploitation of resources takes up a lot of forest and residential land.According to the actual features represented by remote sensing image information of mining area,the feature information is extracted,and the automatic"learning"of vegetation cover data is completed by machine learning method.The vegetation cover samples of different areas are obtained,and the ecological restoration data of mining area is updated.According to the actual situation of the mining area,the targeted ecological restoration measures should be formulated.Before planting vegetation,the selected species should be investigated and the appropriate planting species should be selected to ensure the improvement of the ecological environment of the mining area.