In this study, a knowledge-based fuzzy classification method was used to classify possible soil-landforms in urban areas based on analysis of morphometric parameters (terrain attributes) derived from digital elevation models (DEMs). A case study in the city area of Berlin was used to compare two different resolution DEMs in terms of their potential to find a specific relationship between landforms, soil types and the suitability of these DEMs for soil mapping.

Introduced as a soil erosion deterrent, salt cedar has become a menace along riverbeds in the desert southwest. Salt cedar replaces native species, permanently altering the structure, composition, function, and natural processes of the landscape. Remote sensing technologies have the potential to monitor the level of invasion and its impacts on ecosystem services. In this research, we developed a species map by segmenting and classifying various species along a stretch of the Lower Gila River.

Climate change has the potential to disrupt ecosystem services and further exacerbate the effects of human activities on natural resources. This has significant implications for educational institutions and the populations they serve. As the current crop of landscape architecture students struggles to define its role within the climate crisis and its related social and political underpinnings, a core mission of colleges and universities moving forward should be to provide students with applied knowledge about how climate change affects the landscape.