The purpose of this paper is to extract the features of landscape ecological culture data through DL (Deep learning) model and formulate corresponding protection strategies to promote the effective protection and sustainable development of landscape ecological culture. In order to achieve this goal, this paper first constructs a DL model and uses it to extract the features of the collected landscape eco-cultural data. During the experiment, the training process, parameter setting, and feature extraction results of the model are recorded in detail, and the experimental results are displayed and analyzed by various data charts and visualization tools. The results show that the accuracy of landscape eco-cultural feature extraction is over 90%, and the feature extraction efficiency is high. In addition, the expert evaluation results are excellent, with a score of about 9.2. DL model is excellent in extracting landscape ecological and cultural features and can automatically learn hierarchical feature representation in data, avoiding the complexity and subjectivity of traditional methods. This study not only provides new scientific methods and technical support for the protection of landscape ecological culture, but also lays the foundation for the follow-up research in related fields.