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Full-Text Articles in Geographic Information Sciences

Global Digital Elevation Model Accuracy Assessment In The Himalaya, Nepal, Luke G. Miles Dec 2013

Global Digital Elevation Model Accuracy Assessment In The Himalaya, Nepal, Luke G. Miles

Masters Theses & Specialist Projects

Digital Elevation Models (DEMs) are digital representations of surface topography or terrain. Collection of DEM data can be done directly through surveying and taking ground control point (GCP) data in the field or indirectly with remote sensing using a variety of techniques. The accuracies of DEM data can be problematic, especially in rugged terrain or when differing data acquisition techniques are combined. For the present study, ground data were taken in various protected areas in the mountainous regions of Nepal. Elevation, slope, and aspect were measured at nearly 2000 locations. These ground data were imported into a Geographic Information System …


Mius News : Maps And Imagery User Services @ Fiu Green Library: Vol. 5 Issue 1 Fall 2013, Matthew Toro, Evan Cook, Peter Harlem Oct 2013

Mius News : Maps And Imagery User Services @ Fiu Green Library: Vol. 5 Issue 1 Fall 2013, Matthew Toro, Evan Cook, Peter Harlem

MIUS News

Florida International University's Fall 2013 Map and User Imagery Services Newsletter


Using Remotely Sensed Data To Detect Tamarisk Along Colorado’S San Miguel River, William E. Johnson May 2013

Using Remotely Sensed Data To Detect Tamarisk Along Colorado’S San Miguel River, William E. Johnson

Geography and the Environment: Graduate Student Capstones

Tamarisk, an invasive tree native to Eurasia, has become widespread in river corridors across the southwestern United States. Accused of excessive water consumption and degradation of native habitats, it has been the target of extensive eradication and restoration efforts. Identifying its ever-changing distribution and extent benefits natural resource managers tasked with planning and prioritizing invasive plant management activities.

The use of GIS tools and remotely sensed data offers the potential to speed and improve our ability to locate tamarisk distributions. This project searches for tamarisk by classifying land cover vegetation (including tamarisk) based on spectral reflectance values from three-band natural …


Classification Of Satellite Time Series-Derived Land Surface Phenology Focused On The Northern Fertile Crescent, Brian Embree Bunker May 2013

Classification Of Satellite Time Series-Derived Land Surface Phenology Focused On The Northern Fertile Crescent, Brian Embree Bunker

Graduate Theses and Dissertations

Land surface phenology describes events in a seasonal vegetation cycle and can be used in a variety of applications from predicting onset of future drought conditions, to revealing potential limits of historical dry farming, to guiding more accurate dating of archeological sites. Traditional methods of monitoring vegetation phenology use data collected in situ. However, vegetation health indices derived from satellite remote sensor data, such as the normalized difference vegetation index (NDVI), have been used as proxy for vegetation phenology due to their repeated acquisition and broad area coverage. Land surface phenology is accessible in the NDVI satellite record when images …


Agricultural Production And Stability Of Settlement Systems In Upper Mesopotamia During The Early Bronze Age (Third Millennium Bce), Tuna Kalayci May 2013

Agricultural Production And Stability Of Settlement Systems In Upper Mesopotamia During The Early Bronze Age (Third Millennium Bce), Tuna Kalayci

Graduate Theses and Dissertations

This study investigates the relationship between rainfall variation and rain-fed agricultural production in Upper Mesopotamia with a specific focus on Early Bronze Age urban settlements. In return, the variation in production is used to explore stability of urban settlement systems. The organization of the flow of agricultural goods is the key to sustaining the total settlement system.

The vulnerability of a settlement system increases due to the increased demand for more output from agricultural lands. This demand is the key for the success of urbanization project. However, without estimating how many foodstuffs were available at the end of a production …


Object-Based Urban Building Footprint Extraction And 3d Building Reconstruction From Airborne Lidar Data, Ting Zhao Apr 2013

Object-Based Urban Building Footprint Extraction And 3d Building Reconstruction From Airborne Lidar Data, Ting Zhao

Electronic Thesis and Dissertation Repository

Buildings play an essential role in urban intra-construction, urban planning, climate studies and disaster management. The precise knowledge of buildings not only serves as a primary source for interpreting complex urban characteristics, but also provides decision makers with more realistic and multidimensional scenarios for urban management. In this thesis, the 2D extraction and 3D reconstruction methods are proposed to map and visualize urban buildings. Chapter 2 presents an object-based method for extraction of building footprints using LiDAR derived NDTI (Normalized Difference Tree Index) and intensity data. The overall accuracy of 94.0% and commission error of 6.3% in building extraction is …


Mius News: Maps And Imagery User Services @ Fiu Green Library: Vol. 4, Issue 2 Spring/Summer 2013, Matthew Toro, Tiffany Selvidge Apr 2013

Mius News: Maps And Imagery User Services @ Fiu Green Library: Vol. 4, Issue 2 Spring/Summer 2013, Matthew Toro, Tiffany Selvidge

MIUS News

Florida International University's Spring/Summer 2013 Map and User Imagery Services Newsletter.


Proximal Sensing As A Means Of Characterizing Phragmites Australis, Travis Yeik Feb 2013

Proximal Sensing As A Means Of Characterizing Phragmites Australis, Travis Yeik

Department of Geography: Dissertations, Theses, and Student Research

Phragmites australis is an invasive wetland weed found throughout much of the United States. Documenting and mapping the growth and spread of this emergent macrophyte can be an important step in developing and implementing successful management strategies. Characterizing the phenology of a vegetation species with a sensor capable of hyperspectral resolution, positioned at close proximity to the canopy of interest, is often a first step necessary for understanding the basic species-specific reflectance patterns, and for quantifying the manner in which light interacts with the plants comprising particular communities. Spectral data over a P. australis canopy were collected during 22 field …


Tandem-X High Resolution Dems And Their Applications To Flow Modeling, Kelly M. Wooten Jan 2013

Tandem-X High Resolution Dems And Their Applications To Flow Modeling, Kelly M. Wooten

Dissertations, Master's Theses and Master's Reports - Open

Lava flow modeling can be a powerful tool in hazard assessments; however, the ability to produce accurate models is usually limited by a lack of high resolution, up-to-date Digital Elevation Models (DEMs). This is especially obvious in places such as Kilauea Volcano (Hawaii), where active lava flows frequently alter the terrain. In this study, we use a new technique to create high resolution DEMs on Kilauea using synthetic aperture radar (SAR) data from the TanDEM-X (TDX) satellite. We convert raw TDX SAR data into a geocoded DEM using GAMMA software [Werner et al., 2000]. This process can be completed in …


Sagebrush Ecosystem Characterization, Monitoring, And Forecasting With Remote Sensing: Quantifying Future Climate And Wildlife Habitat Change, Collin G. Homer Jan 2013

Sagebrush Ecosystem Characterization, Monitoring, And Forecasting With Remote Sensing: Quantifying Future Climate And Wildlife Habitat Change, Collin G. Homer

Electronic Theses and Dissertations

Sagebrush (Artemisia spp.) ecosystems constitute the largest single North American shrub ecosystem and provide vital ecological, hydrological, biological, agricultural, and recreational ecosystem services. Disturbances continue to alter this ecosystem, with climate change possibly representing the greatest future disturbance risk. Improved ways to characterize and monitor gradual change in this ecosystem are vital to its future management. A new remote sensing sagebrush characterization approach was developed in Wyoming which integrates three scales of remote sensing to derive four primary continuous field components (bare ground, herbaceousness, litter, and shrub), and four secondary components (sagebrush, big sagebrush, Wyoming sagebrush, and shrub …