Land degradation refers to the decline in land quality and productivity caused by human activities and natural processes. This environmental issue has negative consequences for ecosystems and human well-being. In this study, the Global Assessment of Human-induced Soil Degradation (GLASOD), geographical information system (GIS), and remote sensing (RS) techniques were integrated to assess and understand the land degradation processes on the northwestern coast of Egypt. Land degradation severity levels were categorized as low, moderate, high, and very high, depending on the degree and extent. The main physiographic units were defined using GIS and remote sensing data. The results revealed that the study area is dominated by Aeolian Plain (A), Coastal Plain (C), Deltaic Plain (D), Lacustrine Plain (L), Pediment Plain (P), and Plateau (U) landforms. Salinization, alkalinization, soil compaction, and waterlogging were identified as the key indicators of land degradation in the study area. Salinization severity classes in the lacustrine plain were classified as medium, representing 82%, high representing 14%, and very high representing 4%. Alkalinization severity classes in the Aeolian plain were classified as low and high, representing 98% and 2% respectively. Soil compaction in this unit was high, covering an area of 136 km2, i.e., 14%, and very high, covering an area of 1018 km2. The land degradation assessment due to waterlogging in the lacustrine plain unit was categorized as very high, covering an area of 1021 km2. Salinization, alkalinization, soil compaction, and waterlogging were identified as the most consequential processes contributing to land degradation over the study area.