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Social and Behavioral Sciences Commons™
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Articles 1 - 7 of 7
Full-Text Articles in Social and Behavioral Sciences
Techniques For Tree Species Classification With Hyperspectral Imagery At Neon Science Sites, Anthony T. Albanese
Techniques For Tree Species Classification With Hyperspectral Imagery At Neon Science Sites, Anthony T. Albanese
Theses and Dissertations
Studies three sets of techniques for hyperspectral tree species classification at NEON science sites, aiming to work towards producing a general classification model.
Identification Of Poverty Areas By Using Machine Learning Classification Methods From Satellite Imagery In Buraydah City, In The Qassim Region Of Saudi Arabia, Amal Alfawzan
Murray State Theses and Dissertations
Saudi Arabia is a wealthy country with its many resources, but it has seen an increase in poverty recently because of a high rate of population growth with a high rate of unemployment. Some estimate that the number of Saudi Arabians living in poverty is between two and four million. This research aims to develop a way to detect poverty through remote sensing. The study area is Buraydah City, the largest city of the Qassim region, an important agricultural center that plays a significant role in the economy of Saudi Arabia. The research hypothesized that there are poor areas within …
How Does Land Cover Classification In Google Earth Engine Compare With Traditional Methods Of Land Cover Classification? What Are The Tradeoffs?, Carlos Sebastian Reyes
How Does Land Cover Classification In Google Earth Engine Compare With Traditional Methods Of Land Cover Classification? What Are The Tradeoffs?, Carlos Sebastian Reyes
Open Access Theses & Dissertations
The project focuses on comparing land cover classification of traditional methods such as ArcGIS with newer ones such as Google Earth Engine (GEE) as well as discussing any potential tradeoffs. Two studies were performed in both platforms, the first involved analyzing land cover change in the Middle Rio Grande (MRG) region of southern New Mexico, far west Texas, and northern Chihuahua, Mexico. The MRG study focused on urban and agricultural change in the region using two different classification methods. The second study focused on creating a post-hurricane damage assessment (PDA) with the goal of developing an automated method of estimating …
Classifying Nominal Voltage Of Electric Power Transmission Lines Using Remotely-Sensed Data, Erik Herman Schmidt
Classifying Nominal Voltage Of Electric Power Transmission Lines Using Remotely-Sensed Data, Erik Herman Schmidt
Masters Theses
Geospatial data of national infrastructure are a valuable resource for visualization, analysis, and modeling. Building these geospatial foundation-level infrastructure datasets presents numerous challenges. Among those challenges is that of acquiring non-visible attribution of particular infrastructure entities for which there is no viable tabular source. In the case of electric power transmission lines, these data are difficult to acquire, particularly nation-wide. The route, or geometry of transmission lines can be determined from aerial imagery, but nominal voltage, a fundamental requirement for analysis and modeling, is not readily apparent. However, inferences can be made about the nominal voltage based on visual characteristics, …
Classification Of Satellite Time Series-Derived Land Surface Phenology Focused On The Northern Fertile Crescent, Brian Embree Bunker
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 …
An Alternate Approach To Ecosystem Mapping: Fusing Orthophotography With Landsat Etm+ Data For A Object-Based Classification, South Eastern Arkansas., David Mcfee
Graduate Theses and Dissertations
Maintaining representative sampling of biologically rich and rare ecosystems has become an important means to preventing biodiversity loss. A limitation in indentifying and quantifying ecosystems is the cost of obtaining high resolution imagery necessary for a high resolution land cover assessment. This research shows how free, different resolution imagery (orthoimages and LANDSAT ETM+) could be combined to produce a hybrid dataset with enhanced spectral, spectral and temporal properties, and processed to obtain a object-based classification of land cover of bottomland and pine hardwood forest in south eastern Arkansas. Three classification techniques were evaluated: 1) a human derived, rule based method, …
A Comparison Of Two Common Classification Procedures For Economical Urban Land Cover Mapping Using Naip Imagery, Kent Lowell Simons
A Comparison Of Two Common Classification Procedures For Economical Urban Land Cover Mapping Using Naip Imagery, Kent Lowell Simons
Theses and Dissertations
Detailed urban land cover maps are increasingly useful and important applications of remote sensing. Municipal agencies and others use land cover maps and data for numerous critical local planning and monitoring functions and for urban geographical research studies. Because of this, there is a demand for accurate urban land cover maps that can be produced quickly and economically. The availability of very high resolution multispectral imagery is an important factor in enabling such production, as the judicious selection of source imagery has a large impact on the resulting map products. Likewise, the implementation of appropriate digital image processing methods is …