Developments in Land Use and Land Cover Classification Techniques in Remote Sensing: A Review

Studies on land use and cover changes (LULCC) have been a great concern due to their contribution the policies formulation strategic plans in different areas at scales. The LULCC when intense global scale can be catastrophic if not detected monitored affecting key aspects of ecosystem’s functions. For decades, technological developments tools geographic information systems (GIS), remote sensing (RS) machine learning (ML) since data acquisition, processing results diffusion investigated access landscape conditions hence, classification performed levels. Providing coherent guidelines, based literature review, examine, evaluate spread such could rich contribution. Therefore, hundreds relevant studies available databases (Science Direct, Scopus, Google Scholar) demonstrating advances achieved local, regional products spatial, spectral temporal resolutions over past decades were selected investigated. This article aims show main tools, data, approaches applied for analysis, assessment, mapping monitoring investigate some associated challenges limitations that may influence performance future works, through progressive perspective. Based this study, despite archived recent issues related multi-source, multi-temporal multi-level robustness quality, scalability need further studied as they constitute sensing.