Using Repeat Landscape Photography to Assess Vegetation Changes in Rural Communities of the Southern Appalachian Mountains in Virginia, USA

Mapping Secondary Forest Succession on Abandoned Agricultural Land with LiDAR Point Clouds and Terrestrial Photography

“…Terrestrial photographs play an important role in landscape research [52] because of their ability to illustrate landscape changes [30,[53][54][55][56]. For example, visual analysis of repeated terrestrial photographs in several areas of the Polish Carpathians demonstrated their potential in assessing long-term, gradual landscape changes that are related to forest succession and expansion on agricultural land [22].…”

Assessing Modernization In Honduran Landscapes Using Repeat Photography

“…As a recent volume on the method (Webb and others 2010) reflects, much of the work in repeat photography has focused on assessing environmental change (Humphrey ; Veblen and Lorenz ; Byers ; Lewis ; Clark and Hardegree ; Hendrick and Copenheaver ; Nyssen and others 2008; Michel and others 2009). However, as Martha Works and Keith Hadley () showed, it is often cultural change that affects change in environmental conditions.…”

Exploring Landscape Change in Mountain Environments With the Mountain Legacy Online Image Analysis Toolkit

“…The ability to create categories (eg snow / ice, rock / scree, coniferous forest, etc) and apply them to images has featured prominently in many mountain rephotography studies (Rhemtulla et al 2002;Zier and Baker 2006;Roush et al 2007;Hendrick and Copenheaver 2009;Taggart-Hodge et al 2015). In studies like these, such categorization is usually handled within a geographic information system (GIS) or some type of graphics software package (eg Photoshop).…”

“…This can pose problems if practitioners want to use these images to speak about change in the broader landscape. However, several studies (Rhemtulla et al 2002;Hendrick and Copenheaver 2009) indicate that if appropriate criteria are used when selecting image pairs for analysis, and if validation of category distribution over an entire set of images is performed (Fomin et al 2015), then issues with representation and scale can be at least partially mitigated. New developments in a technique known as monoplotting (Bozzini et al 2012;Stockdale et al 2015) show promise in allowing georeferencing and orthorectification of oblique-angle photographs.…”