Urban ecological environment space planning strategy considering land use efficiency

In order to solve the problem of insufficient compact utilisation of ecological environment space, an urban ecological environment space planning strategy considering land use efficiency is designed. Using unmanned aerial vehicles to collect site data before urban ecological environment space planning, a remote sensing image stitching method based on convolutional neural network (CNN) and optimal suture fusion method is used to perform remote sensing image stitching processing on the collected data. Considering land use efficiency, following the principles of urban sustainable development, urban-rural integration, and efficient urban operation, a trinity urban ecological environment space planning strategy is designed to achieve urban ecological environment space planning. The test results show that the highest greening rate in the area of this method exceeds 37%, and the highest building density in the area reaches 53.1%, achieving high land use efficiency.