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Articles 1 - 12 of 12
Full-Text Articles in Social and Behavioral Sciences
Optimal Band Selection For Hyperspectral Remote Sensing Of Aquatic Benthic Features - A Wavelet Filter Window Approach, Charles R. Bostater
Optimal Band Selection For Hyperspectral Remote Sensing Of Aquatic Benthic Features - A Wavelet Filter Window Approach, Charles R. Bostater
Ocean Engineering and Marine Sciences Faculty Publications
This paper describes a wavelet based approach to derivative spectroscopy. The approach is utilized to select, through optimization, optimal channels or bands to use as derivative based remote sensing algorithms. The approach is applied to airborne and modeled or synthetic reflectance signatures of environmental media and features or objects within such media, such as benthic submerged vegetation canopies. The technique can also applied to selected pixels identified within a hyperspectral image cube obtained from an board an airborne, ground based, or subsurface mobile imaging system. This wavelet based image processing technique is an extremely fast numerical method to conduct higher …
Implementation Of A Ground Truth Process For Development Of A Submerged Aquatic Vegetation (Sav) Mapping Protocol Using Hyperspectral Imagery, Carlton R. Hall, Charles R. Bostater, Robert W. Virnstein
Implementation Of A Ground Truth Process For Development Of A Submerged Aquatic Vegetation (Sav) Mapping Protocol Using Hyperspectral Imagery, Carlton R. Hall, Charles R. Bostater, Robert W. Virnstein
Ocean Engineering and Marine Sciences Faculty Publications
Protocol development for science based mapping of submerged aquatic vegetation (SAV) requires comprehensive ground truth data describing the full range of variability observed in the target. The Indian River Lagoon, Florida, extends along 250 km of the east central Florida coast adjacent to the Atlantic Ocean. The lagoon crosses the transition zone between the Caribbean and Carolinian zoogeographic provinces making it highly diverse. For large scale mapping and management of SAV four common and three uncommon species of seagrass (Tracheophyta) and three broad groups of macroalgae; red algae (Rhodophyta), green algae (Chlorophyta), and brown algae (Phaeophyta) are recognized. Based on …
Dynamics And Control Of Tethered Satellite Formations For The Purpose Of Space-Based Remote Sensing, Kurt A. Vogel
Dynamics And Control Of Tethered Satellite Formations For The Purpose Of Space-Based Remote Sensing, Kurt A. Vogel
Theses and Dissertations
This dissertation assesses the utility of tethered satellite formations for the space-based remote sensing mission. Energy dissipation is found to have an adverse effect on foundational rigid body (Likins-Pringle) equilibria. It is shown that a continuously earth-facing equilibrium condition for a fixed-length tethered system does not exist since the spin rate required for the proper precession would not be high enough to maintain tether tension. The range of required spin rates for steady-spin motion is numerically defined here, but none of these conditions can meet the continuously earth-facing criteria. Of particular note is the discovery that applying certain rigid body …
How Earth Remote Sensing From The International Space Station Complements Current Satellite‐Based Sensors, Jennifer Gebelein, Dean Eppler
How Earth Remote Sensing From The International Space Station Complements Current Satellite‐Based Sensors, Jennifer Gebelein, Dean Eppler
Jennifer Gebelein
The International Space Station (ISS) will provide an Earth‐and space‐observing platform that will support sensors built by 16 different countries and deliver data and images for local, regional and global research. When complete, it will be an exceptional platform for conducting remote sensing of the Earth, astrophysics, and space physics research programmes. Additionally, the ISS will operate as a testbed for engineering studies and complex technological developments that will benefit future Earth‐observing capabilities. ...
Informal Development In Cairo, The View From Above: A Case Study Using Aerial Photo Interpretation To Examine Informal Housing In The Imbaba District Of Cairo, Stevan Bullard
Anthropology Theses
The goal of this study is to apply the extraordinarily rich set of historical cartographic and remote sensing data of Cairo, Egypt to the analysis of the problem of informal development in the twentieth century. Remote sensing of urban areas has been dominated in recent years by multispectral analysis of Landsat imagery. This restricts studies both temporally and in spatial resolution. In this study an aerial photo interpretation methodology is applied to images and maps spanning two centuries of Cairo’s history at a spatial resolution on the scale of individual buildings. From these techniques insights can be obtained of the …
Quantifying Chlorophyll A Content Through Remote Sensing: A Pilot Study Of Utah Lake, Tiana Davis
Quantifying Chlorophyll A Content Through Remote Sensing: A Pilot Study Of Utah Lake, Tiana Davis
Theses and Dissertations
Utah Lake is a really large but shallow lake located in the arid environment of the Western United States. Due to a variety of factors it is listed by the Environmental Protection Agency as an "impaired water body" and must be closely monitored. Because of its large extent and shallow depth the water quality is heterogeneous and can change rapidly. This means that traditional water quality monitoring methods, which require large investments in field personnel, equipment, and water sample analysis, cannot produce a model that is truly representative of the entire water body. This thesis examines the feasibility of using …
Terrain And Spatial Effects On Hazard Prediction And Assessment Capability (Hpac) Software Dose-Rate Contour Plot Predictions As Compared To A Sample Of Local Fallout Data From Test Detonations In The Continental United States, 1945-1962, Kevin D. Pace
Theses and Dissertations
Hazard Prediction and Capability (HPAC) Software is validated by comparing modeled predictions to historical test data. Reanalysis weather data is acquired and reformatted for use in HPAC. Simulations are made using various amounts of weather data by use of a spatial domain. Simulations are also varied by levels of terrain resolution. The predicted output of the software is numerically compared to historical test data. The result of this research culminated in the knowledge that HPAC prediction accuracy is improved by using terrain resolutions beyond the flat earth assumption. Furthermore, this research establishes that domain size variation produces no significant advantage …
Accuracy Assessment Of Land Cover Maps Derived From Multiple Data Sources, Daniel Unger, Hillary Tribby, Hans Michael Williams, I-Kuai Hung
Accuracy Assessment Of Land Cover Maps Derived From Multiple Data Sources, Daniel Unger, Hillary Tribby, Hans Michael Williams, I-Kuai Hung
Faculty Publications
Maximum Likelihood (ML) and Artificial Neural Network (ANN) supervised classification methods were used to demarcate land cover types within IKONOS and Landsat ETM+ imagery. Three additional data sources were integrated into the classification process: Canopy Height Model (CHM), Digital Terrain Model (DTM) and Thermal data. Both the CHM and DTM were derived from multiple return small footprint LIDAR. Forty maps were created and assessed for overall map accuracy, user's accuracy, producer's accuracy, kappa statistic and Z statistic using classification schemes from U.S.G.S. 1976 levels 1 and 2 and T.G.l.C. 1999 levels 2 and 4. Results for overall accuracy of land …
An Estimation Theory Approach To Detection And Ranging Of Obscured Targets In 3-D Ladar Data, Charles R. Burris
An Estimation Theory Approach To Detection And Ranging Of Obscured Targets In 3-D Ladar Data, Charles R. Burris
Theses and Dissertations
The purpose of this research is to develop an algorithm to detect obscured images in 3-D LADAR data. The real data used for this research was gathered using a FLASH LADAR system under development at AFRL/SNJM. The system transmits light with a wavelength of 1.55 micrometers and produces 20 128 X 128 temporally resolved images from the return pulse separated by less than 2 nanoseconds in time. New algorithms for estimating the range to a target in 3-D FLASH LADAR data were developed. Results from processing real data are presented and compared to the traditional correlation receiver for extracting ranges …
Spatial Characteristics Of The Remotely-Sensed Surface Urban Heat Island In Baton Rouge, La: 1988-2003, Lynn Copeland Hardegree
Spatial Characteristics Of The Remotely-Sensed Surface Urban Heat Island In Baton Rouge, La: 1988-2003, Lynn Copeland Hardegree
LSU Doctoral Dissertations
Our understanding of urban effects on local climate remains unsatisfactory due to several difficulties: 1) the inherent complexity of the city-atmosphere system, 2) lack of a clear conceptual theoretical framework for inquiry, and 3) the high expense and enormous difficulties of acquiring a sufficient quantity of high-quality, high-resolution (both spatially and temporally) observations in cities. Using remotely-sensed data, this study analyzes urban heat islands (UHI) that are manifested through an elevation in the surface thermal emissions within urban regions known as surface heat islands (SHI). The study area for this research endeavor is Baton Rouge, Louisiana. Whereas the surface air …
Detecting The Socioeconomic Conditions Of Urban Neighborhoods Through Wavelet Analysis Of Remotely Sensed Imagery, Guiyun Zhou
Detecting The Socioeconomic Conditions Of Urban Neighborhoods Through Wavelet Analysis Of Remotely Sensed Imagery, Guiyun Zhou
LSU Doctoral Dissertations
Wavelet analysis is an efficient approach to studying textural patterns at different scales. Artificial neural networks can learn very complex patterns in the data and could be an efficient classifier. However, whether wavelet analysis, in combination with artificial neural networks or other classifiers, can be used to detect the social-economic conditions of urban neighborhood is a key research question that needs further study. The hypotheses of this study were: 1) neural networks yielded higher classification accuracy than linear discriminant analysis and the minimum-distance classifier based on wavelet measures of urban land covers; 2) wavelet textural measures could be used to …
Burn Scar Mapping In The Sabine National Wildlife Refuge Using Landsat Tm And Etm+ Imagery, Chris Pennington
Burn Scar Mapping In The Sabine National Wildlife Refuge Using Landsat Tm And Etm+ Imagery, Chris Pennington
LSU Master's Theses
Marsh fires burn on a regular basis on the Southwestern Louisiana Coast from both natural and anthropogenic ignitions. Remote sensing based studies of these fires are scarce. Several burn scar mapping techniques have been developed and implemented for study of forest fires in the American West but have not been applied to marsh fires. Erdas Imagine and ArcGIS Software was used to process Landsat imagery of the Sabine National Wildlife Refuge in accordance with the most commonly used burn scar mapping spectral indices and tested for accuracy against manually digitized burn scar maps. Indices tested included the Normalize Burn Ratio …