Geomorphological mapping and anthropogenic landform change in an urbanizing watershed using structure-from-motion photogrammetry and geospatial modeling techniques

Abstract

2020): Geomorphological mapping and anthropogenic landform change in an urbanizing watershed using structure-from-motion photogrammetry and geospatial modeling techniques, Journal of Maps, ABSTRACT Increasing urbanization and suburban growth in cities globally has highlighted the importance of land planning using detailed geomorphologic maps that depict anthropogenic landform changes. Such mapping provides information crucial for land management, hazard identification, and the management of the challenges arising from urbanization. The development and use of quantitative and repeatable methods to map anthropogenic and natural processes are required to advance the science of urban geomorphological mapping. This study investigated the application of geospatial modeling, structure-from-motion (SfM) photogrammetric methods and DEM differencing as means of quantifying anthropogenic landform changes from archival aerial imagery. Anthropogenic landforms were incorporated into a detailed geomorphologic map in an urbanizing watershed located in the Washington, D.C. metropolitan suburb of Vienna, Virginia. ARTICLE HISTORY

Sediment dynamics and implications for management: State of the science from long‐term research in the Chesapeake Bay watershed, USA

“…Additional lidar acquisitions coordinated through the USGS 3D Elevation Program is resulting in high‐quality of temporally‐repeated lidar datasets that will enable topographic change detection across entire counties (>1,000 km 2 ). Similarly, historical aerial photography has the potential to be processed with newer structure‐from‐motion photogrammetric (SfM) algorithms to create high‐resolution topographic datasets for change detection (Chirico, Bergstresser, DeWitt, & Alessi, 2020; Warrick, Ritchie, Adelman, Adelman, & Limber, 2017). Although these approaches may not be as sensitive to change as traditional field‐based approaches, the ability to identify erosional hotspots across the landscape, particularly in locations without historical monitoring, has potential to revolutionize the identification and monitoring of sediment erosion.…”

Nature-Based Solution Integration to Enhance Urban Geomorphological Mapping: A Methodological Approach

“…Aerial photography, as a valuable tool for earth feature analysis, presents expanded possibilities for enriching our comprehension of both cultural and natural landscapes. This method proves especially valuable in geographical applications by enabling the identification of alterations in physical and human phenomena through the systematic comparison of temporal sequences [25,[94][95][96].…”

“…Recent studies have emphasized the importance of mapping urban geomorphological forms and features as well as geoheritage, revealing the intricate interplay between natural processes, human actions, and urban growth [9,[25][26][27][28]. Geomorphological mapping utilizes various techniques to capture the dynamic interplay among geological forces, climatic factors, and surface processes [29].…”

Evaluating Elevation Change Thresholds between Structure-from-Motion DEMs Derived from Historical Aerial Photos and 3DEP LiDAR Data

“…It is a small watershed of approximately 10 km 2 with approximately 70 m of topographic relief. While native vegetation in this region is primarily mixed forest and grassy open areas, the area has been substantially modified by anthropogenic activities [7]. From the 1950s onward small farms have been replaced by urbanization and development expanding from the Washington, D.C. metropolitan area.…”

“…There is growing recognition of the importance of geomorphological mapping of three-dimensional (3D) change, particularly in the context of anthropogenic landscapes in urban environments [1][2][3][4][5][6][7]. One of the most significant advancements in geomorphological mapping over the past decade has been the increased availability of high-resolution digital elevation models (DEMs) produced from light detection and ranging (LiDAR) and other sources.…”