This article proposes a three-dimensional (3D) vegetation extraction workflow to extract urban grasses and trees at individual tree level in urban areas using airborne LiDAR and hyperspectral data. Results suggest that two- and three-dimensional urban vegetation extraction could play a significant role in spatial layout optimization and scientific management of urban vegetation.

Article introduces a semi-automated method for extracting stream channels and channel profiles from high-resolution digital elevation models (DEMs) using image processing techniques. The method is implemented as an ArcGIS Python add-in toolbar named Channel Extraction and demonstrated using a lidar-derived DEM in a study area along the San Andreas fault in California, USA.

This article proposes a toe line tracking (TLT) method for the automated measurement of dune migration rate and direction using multi-temporal digital elevation models (DEM) derived from light detection and ranging (LiDAR) data to overcome a major limitation of the existing method of pairs of source and target points (PSTP).

Article describes survey identifying opportunities for hydrologic modeling and monitoring to support overlapping management contexts.

Article describes the efficient and accurate identification of canopy gaps is the basis of forest ecosystem research, which is of great significance to further forest monitoring and management. One major limitation of the traditional methods of remote sensing to map canopy gaps is that they cannot finely extract the complex edges of canopy gaps in mountainous areas. The authors proposed an object-oriented classification method that integrates multi-source information.

Article examines the association between incorrect knowledge of ovulation and unintentional pregnancy/child among young women in sub-Saharan Africa countries.