High-quality urban land-use maps are essential for grasping the dynamics and scale of urban land use, predicting future environmental trends and changes, and allocating national land resources. This paper proposes a multisample “voting mechanism” based on multisource data and random forests to achieve fine mapping of urban land use. First, Zhengzhou City was selected as the study area. Based on full integration of multisource features, random forests were used to perform the preliminary classification of multiple samples.

Land-use planning identifies the best land-use options by considering environmental, economic, and social factors. Different theoretical land-use plan models can be found in the literature; however, few studies focus on its practical application and particular challenges in different contexts, especially in the Global South. We use expert surveys to explore the feasibility and relevance of integrated land-use planning and data acquisition in developing countries using Paraguay as an example.

The underutilisation or overutilisation of various interdependent and interacting factors poses a challenge to sustainable development and requires the development of an appropriate methodology to evaluate the sustainability of tourism development projects in rural Land (TDPRL). However, most previous evaluations of TDPRL sustainability are macro-oriented and ignore the entire project life cycle.