Using LiDAR data to map gullies and headwater streams under forest canopy: South Carolina, USA

Detailed Hydrographic Feature Extraction from High-Resolution LiDAR Data

“…Second, the point cloud may be used directly to perform discrete hydrographic feature extractions, without first creating an interpolated DEM. There have been fewer investigations involving hydrographic feature extraction from LiDAR-derived DEMs (Braud, 2009;Colson, 2006;Garcia, 2004;James et al, 2006;Lashermes et al, 2007;Leopold and Wolman, 1975;Mark 1983;Passalacqua et al, 2010;Vianello et al, 2009). …”

“…An extension of such topographic analyses is hydrographic feature extraction, including derivation of stream profiles and watersheds, and delineation of streams or networks of streams that provide drainage of the watersheds (Colson, 2006;Garcia, 2004;James et al, 2006;Lashermes et al, 2007;Passalacqua et al, 2010;Vianello et al, 2009). …”

Effects of vegetation and soil on evapotranspiration, flow regime, and basin storage in three nearby catchments in northeast Japan

“…Thus, percentage changes in forest cover and vegetation status are needed more detail to evaluate water yield. Moreover, although detailed catchment-scale topographical data of the forest area can be generated by airborne laser scanner (Setojima et al 2002;James et al 2007), it remains extremely difficult to investigate soil at a catchment scale. In addition, insufficient vegetation and soil data are available compared to those based on topographical information.…”

Airborne laser scanning : for forested landslides investigation in temperate and tropical invironments

“…In spite of the ability to automatically classify ground points and non-ground points, complex scenarios such as the preservation of discontinuities, vegetation on slopes, low vegetation and influence of outliers, still require further improvement of the filtering algorithms (Sithole and Vosselman, 2004) and some manual editing is often carried out by the data vendor. The selection of the appropriate filtering algorithm depends on the type and complexity of the landscape (Sithole and Vosselman, 2004;James et al, 2007). An optimal method for landslide inventory mapping is currently not known.…”

“…These cases are predominantly observed for recognizing landslides in tropical environments. Therefore, the selection of an appropriate filtering algorithm and its parameterization is required for such complex landscapes (Sithole and Vosselman, 2004;James et al, 2007). So far, there have been relatively limited studies to properly evaluate the quality of ALS-derived DTMs in the tropics (Blair and Hofton, 1999;Hofton et al, 2002;Clark et al, 2004;Haneberg et al, 2009), particularly for mapping and classifying the tropical landslides.…”