Digital elevation model

directing single laser pulses on targets and performing an analysis on time taken to receive the reflected pulses (Finkl, 2013). The data collected helps in the determination of elevation details of an area. Additionally, engineers can use the global positioning system (GPS) and digital photography with the LiDAR elevation details to present accurate and comprehensive information about the desired location for a project. The current paper focuses on the LiDAR data generated from aerial sources although

Bloom 1998; Ritter et al. 2002). In recent years Digital Elevation Model (DEM) data and Geographical Information System (GIS) technologies have been extensively used to determine the morphometric properties of tectonically active regions. In addition the use of Remote Sensing and GIS techniques to evaluate the tectonic formation of

7. Case Study 2: Visakhapatnam City Geographically, Visakhapatnam is situated in the middle of Chennai-Kolkata Coromandal Coast. The city coordinates lies between 17°41'18″North latitude and 83°13'07″East longitude. This area is covered with hills of range between 30 m to 594 m above mean sea level. Geologically, Visakhapatnam has major folds which are traced in the direction of north east and south west of Eastern Ghats hilly region. The geography and geomorphologic characteristics make it prone

Introduction Evapotranspiration (ET) is a primary component of determining crop water requirement and ultimately irrigation requirement. ET consists of transpiration of water from plants and evaporation of water from the soil surface. 65% of the precipitation is lost into the atmosphere through evaporation and transpiration (Kite, 2000).Potential evapotranspiration (PET) is a representation of the evapotranspiration rate of a short green crop (grass/alfalfa), completely shading the ground, of uniform

In contrast to all other phases, digital images are used instead of aerial photographs. With the availability of storage devices which permit rapid access to digital imagery, and special microprocessor chips, digital photogrammetry began in earnest only a few years ago. The field is still in its infancy and has not yet made its way into the photogrammetric practice.Photogrammetry

to Fig. 1 this report has limited the study area to the (7) districts: Dhading, Dolakha, Gorkha, Lamjung, Nuwakot, Rasuwa and Sindhupalcho. Together these districts have a total land area of 14,564 km2 (representing ~10% of Nepal proper) with an elevation range 189 m to 7,922 m. Within this study area n=4,201 landslides occurred as a result of the Mw7.8 and Mw7.3 events. The study area spans the middle-high Himalaya where population is relatively low and sparsely distributed (Kargel et al., (2016)

IKONOS-2 SGT Erin Sperry IWF 35G30 17-002 As Geospatial Satellite Sensors progress over time they become a more valuable asset to the intelligence community and are playing a bigger role in today’s ongoing missions. The IKONOS-2 Satellite Sensor played a role in developing the impact that the Geospatial Satellite Sensors have today and will continue to in the future. What follows is a more in depth look at the IKONOS-2 capabilities, pros and cons of how it would best support the GEOINT

the most important parameter to monitor as it is a key to glacier volume and glacier mass balance studies using the geodetic method. Topography of glacier can be mapped using various data types such as terrestrial photography, aerial photography, digital camera data, airborne radar data, satellite radar data (SAR), very high resolution satellite imagery and laser scanner data. By means of interferometric processing DEM could be retrieved by Synthetic aperture radar images with

Bathymetry derived terrain variables are indicative of seabed morphology and can be used as predictors of suitable benthic habitats. A digital elevation model (DEM) is a digital representation of the elevation of locations on the land surface, and in the case of this report can be used as a digital representation of underwater bathymetry. The DEM can be used to derive various benthic terrain variables of underwater systems (Pescus 2012). Some terrain variables include depth, slope, rugosity, aspect

an interpolated height map from segment contour lines opened the Operations menu in the main window, chose Interpolation, and then chose Contour Interpolation. The output map is a Digital Elevation Model. c) Calculated height differences in X-direction: start the Filter operation, selected the Digital Elevation Model as the input map and selected linear filter dfdx. Called the output map as DX. d) Calculated height differences in Y-direction: start the Filter operation, selected