基于深度学习时序制图的夷陵区国土空间规划土地利用研究OA

To address the problems of low resolution and long update cycle of the traditional land use data in the complex mountainous areas of the Three Gorges Reservoir Area,which can hardly support the refined management and control of the"Three Zones and Three Lines",this paper takes Yiling District in Yichang City as the research area,and conducts land use mapping by using the TSSCD deep learning model based on 10 m resolution Sentinel-2 time-series images on GEE platform.After localized parameter tuning,the classification Kappa coefficient of the model reaches 0.884.The analysis on high-precision data from 2019 to 2022 shows that during the study period,the net expansion of impervious surface reached 54.47 km2,and the net reduction of cultivated land reached 73.69 km2,with prominent spatial conflicts among urbanization,ecological protection and cultivated land protection.The research results can provide support for the refined territorial spatial governance of mountainous counties.