Advancements and prospects of landsenses ecology research based on bibliometric analysis

The integration of landsenses ecology encompasses both the ecological and perceptual effects on the ecological environment. Although the theoretical framework has gradually matured, challenges persist, including a lack of research strength, incomplete evaluation systems, and ambiguous disciplinary boundaries. Therefore, a systematic review of landsense research is necessary to analyze its characteristics and explore future research trends to ensure that landscape ecology will flourish. This study conducted a bibliometric analysis of 37 Chinese articles from China National Knowledge Infrastructure (CNKI) and 46 English articles from Web of Science (WOS). As an emerging field in ecology, landsenses has grown in recent years. However, interconnectedness among the research teams is weak. The CNKI literature tends to be concentrated, with 70.27 % of the articles appearing in the journal Acta Ecologica Sinica. Researchers are predominantly affiliated with the Chinese Academy of Sciences, with fewer contributions from other institutions and universities. Future directions for landsenses ecology are outlined, including (1) enhancing interdisciplinary collaboration with emerging technologies, such as VR and AI, (2) refining quantifiable landsense metrics and evaluation systems, and (3) establishing a normal model and criteria for landsense creation services. By discussing the disciplinary boundaries and application of landsenses ecology, this study contributes a theoretical reference value for its development. This study proposes the concepts and associated contents of landsenses ecology and mixed marching data and explains the role of the meliorization model and Internet of Things (IoT) in landsenses ecology-based land-use planning, construction, and management. Utilizing the results of bibliometric research, this study proposes recommendations for the future application and theoretical development of landsenses ecology. These suggestions aim to bolster landsenses ecology application practices and theoretical foundations, enabling a more significant contribution to ecosystem services and facilitating sustainable development strategies.