Spatial and temporal variations in land development and impervious surface creation in Oakland County, Michigan, 1945–2005

Change in event-scale hydrologic response in two urbanizing watersheds of the Great Lakes St Lawrence Basin 1969–2010

“…through engineered infrastructure) (Navratil et al, 2013); changes in evaporative demand within the watershed (Tomer and Schilling, 2009), possibly complicated by heat island effect (Adamowski and Prokoph, 2013). Lower impervious land cover in more recent periurban subdivisions (Aichele and Andresen, 2013) and efforts to apply low impact development stormwater management techniques (Hood et al, 2007) may alter the relationship of urban land use to flow response in more recent years. Climate-related changes, such as increased evapotranspiration may also be effecting change in flow patterns (Grillakis et al, 2011).…”

Hydrology of peri-urban catchments: Processes and modelling

“…They also show the impact of this modification on the water balance components. Finally, Aichele et al (2013) explore the change in the form of peri-urban developments between 1950 and 2005 in Oakland county, Michigan, with an emphasis on imperviousness. They exploit cadastral (land tax) information (in particular land parcel size and land cover images) to show that, in the study area, land occupation is increasing at a faster rate than is imperviousness (with newer properties generally having lower impervious areas, and a lower rate of connection to the storm sewer).…”

Integrated modeling in urban hydrology: reviewing the role of monitoring technology in overcoming the issue of ‘big data’ requirements

“…However, such limitations have since been relaxed and high-resolution satellite imagery (e.g., IKONOS-2, ORBIMAGE Inc, and Quickbirk-2) are now widely available, providing scope to track real-time changes within urban areas. [112][113][114][115][116] Most urban applications of RS have used optical data, although radar and LiDAR are becoming increasingly common. For urban hydrology, there are three key types of dataset derived from RS, specifically land cover classifications, impervious surface, and topography.…”

“…Commercial high‐resolution sensors have traditionally been restricted owing to international security concerns. However, such limitations have since been relaxed and high‐resolution satellite imagery (e.g., IKONOS‐2, ORBIMAGE Inc, and Quickbirk‐2) are now widely available, providing scope to track real‐time changes within urban areas …”