Remote Sensing Commons^™

Background And Study Concerning Water Wave Effects On Airborne Imagery, Charles R. Bostater

Ocean Engineering and Marine Sciences Faculty Publications

This paper describes ongoing research and initial results regarding collection of airborne imagery for detection of submerged features in optically shallow water types. The approach is to utilize land surface, water surface and submerged or in-situ line targets of various types during the airborne flights or fixed platforms. The imagery collected by the airborne sensing systems is processed in concept to correct for the presence of the water surface wave effects and water column effects. The correction approach is based upon calculation of a residual image between either (a) the observed submerged target image and the non-submerged image or (2) …

Geo-Rectification Of Aerial Images For Detecting Changes In Terrain, Diana Vincent

Electrical & Computer Engineering Theses & Dissertations

With increasing terrorist attacks around the world, detection of hidden bombs like IEDs (Improvised Explosive devices) has become very important. The main aim of this thesis is to develop an automatic change detection system to detect changes in terrain. It is mainly used in military applications for protection of military convoys. In order to detect the presence of IED's, an Unmanned Aerial Vehicle (UAV) is flown over a proposed convoy route to develop a baseline scene. Prior to the launch of the convoy the UA V is flown again over the same route to detect any significant scene changes that …

Aerial And Satellite Image Processing Applications, Srinivas K. Jakkula

Electrical & Computer Engineering Theses & Dissertations

Aerial and satellite images are used extensively in many trip and mapping software packages, such as Google Earth etc. Aerial images differ significantly due to the variations in atmospheric clarity, atmospheric layer density, humidity, temperature, and season under which the aerial images are captured. Among the issues in effective utilization of aerial images, color tone discrepancy is the inconsistency in brightness, saturation, or color balance between images representing adjacent areas, causing adjacent areas appear significantly different that would otherwise be similar. Aenal images are also routinely used as ground textures to simulate Earth surface and 3D features on Earth in …

Statistical Methods For Polarimetric Imagery, Daniel A. Lemaster

Theses and Dissertations

Estimation theory is applied to a physical model of incoherent polarized light to address problems in polarimetric image registration, restoration, and analysis for electro-optical imaging systems. In the image registration case, the Cramer-Rao lower bound on unbiased joint estimates of the registration parameters and the underlying scene is derived, simplified using matrix methods, and used to explain the behavior of multi-channel linear polarimetric imagers. In the image restoration case, a polarimetric maximum likelihood blind deconvolution algorithm is derived and tested using laboratory and simulated imagery. Finally, a principal components analysis is derived for polarization imaging systems. This analysis expands upon …

Defining A Fire Year For Reporting And Analysis Of Global Interannual Fire Variablility, Luigi Boschetti, David P. Roy

GSCE Faculty Publications

The interannual variability of fire activity has been studied without an explicit investigation of a suitable starting month for yearly calculations. Sensitivity analysis of 37 months of global MODIS active fire detections indicates that a 1-month change in the start of the fire year definition can lead, in the worst case, to a difference of over 6% and over 45% in global and subcontinental scale annual fire totals, respectively. Optimal starting months for analyses of global and subcontinental fire interannual variability are described. The research indicates that a fire year starting in March provides an optimal definition for annual global …

Western Juniper (Juniperus Occidentalis) Ecology With An Exercise In Remote Sensing Techniques, Elizabeth A. Goralski

Geography Masters Research Papers

Western juniper (Juniperus occidentalis var. occidentalis) has been expanding its biogeographic range since the mid-1800's, resulting in decreased biodiversity, altered wildlife habitat, increased soil erosion, reduced stream flows and reduced forage production. The direct causes of western juniper aforestation are unclear but appear to be related to altered fire regimes, over grazing, and climatic shifts.

This study seeks to determine how Landsat images combined with Digital Orthoquads (DOQs) can be used to examine the geographic distribution of western juniper. Satellite imagery has yet to be applied to the large scale mapping of western juniper aforestation, resulting in the lack of …

"Sustainable Development": Critical Concepts In Geography, Tyler Vick

Geography Masters Research Papers

This paper reviews significant geographic contributions to academic literature in the arenas of conservation, environmental thought, and "sustainable development", in order to understand why geographers have not been more central contributors to the sustainable development movement. A review of geographic literature reveals no lack of understanding on the "sustainable development" concept. However, the disciplines' contributions are lacking in numbers relative to published articles and in developing research and practical methods for directly benefiting the "sustainable development" movement. In fact, only a handful of geographers have made multiple literary contributions on the topic of "sustainable development."

The discipline of geography is …

Radiative Forcing Over The Conterminous United States Due To Contemporary Land Cover Use Albedo Change, Christopher Barnes, David P. Roy

GSCE Faculty Publications

Recently available satellite land cover land use (LCLU) and albedo data are used to study the impact of LCLU change from 1973 to 2000 on surface albedo and radiative forcing for 36 ecoregions covering 43% of the conterminous United States (CONUS). Moderate Resolution Imaging Spectroradiometer (MODIS) snowfree broadband albedo values are derived from Landsat LCLU classification maps located using a stratified random sampling methodology to estimate ecoregion estimates of LCLU induced albedo change and surface radiative forcing. The results illustrate that radiative forcing due to LCLU change may be disguised when spatially and temporally explicit data sets are not used. …

Integration Of Remote Sensing And Census Data For Land-Use And Land Cover Classification And Population Estimation In Indianapolis, Indiana, Guiying Li

All-Inclusive List of Electronic Theses and Dissertations

Increasing population and economic growth has resulted in rapid urban expansion in the past decades. Timely and accurately mapping urban land-use and land-cover (LULC) and associated population dist1ibution are often required for many applications such as urban management and planning, and environmental monitoring and assessment. Although many techniques have been developed, urban LULC classification is still a challenge based on remote sensing data. This research explored the integration of Landsat ETM+ image and census data for improving urban LULC classification accuracy, focusing on the distinction of different densities of residential use. The housing data were examined for use at three …

Land-Use/Land-Cover Characterization Using An Object-Based Classifier For The Buffalo River Sub-Basin In North-Central Arkansas, Robert C. Weih Jr., D. White Jr.

Journal of the Arkansas Academy of Science

Sensors for remote sensing have improved enormously over the past few years and now deliver high resolution multispectral data on an operational basis. Most Land-use/Land-cover (LULC) classifications of high spatial resolution imagery, however, still rely on basic image processing concepts (i.e., image classification using single pixel-based classifiers) developed in the 1970s. This study developed the methodology using an object-based classifier to characterize the LULC for the Buffalo River sub-basin and surrounding areas with a 0.81- hectare (2-acre) minimum mapping unit (MMU). Base imagery for the 11-county classification was orthorectified color-infrared aerial photographs taken from 2000 to 2002 with a one-meter …

Seasonal Adaptation Of Vegetation Color In Satellite Images, Srinivas Jakkula, Vamsi K.R. Mantena, Ramu Pedada, Yuzhong Shen, Jiang Li, Hamid R. Arabnia (Ed.)

Electrical & Computer Engineering Faculty Publications

Remote sensing techniques like NDVI (Normal Difference vegetative Index) when applied to phenological variations in aerial images, ascertained the seasonal rise and decline of photosynthetic activity in different seasons, resulting in different color tones of vegetation. The rise and fall of NDVI values decide the biological response, either the green up or brown down [1]. Vegetation in green up period appears with more vegetative vigor and during brown down period it has a dry appearance. This paper proposes a novel method that identifies vegetative patterns in satellite images and then alters vegetation color to simulate seasonal changes based on training …

Vegetation Identification Based On Satellite Imagery, Vamsi K.R. Mantena, Ramu Pedada, Srinivas Jakkula, Yuzhong Shen, Jiang Li, Hamid R. Arabnia (Ed.)

Electrical & Computer Engineering Faculty Publications

Automatic vegetation identification plays an important role in many applications including remote sensing and high performance flight simulations. This paper presents a method to automatically identify vegetation based upon satellite imagery. First, we utilize the ISODATA algorithm to cluster pixels in the images where the number of clusters is determined by the algorithm. We then apply morphological operations to the clustered images to smooth the boundaries between clusters and to fill holes inside clusters. After that, we compute six features for each cluster. These six features then go through a feature selection algorithm and three of them are determined to …

Surface Temperature Mapping Of The University Of Northern Iowa Campus Using High Resolution Thermal Infrared Aerial Imagery, Alexander Savelyev

Dissertations and Theses @ UNI

The goal of this study was to produce and analyze a heat loss map of the University of the Northern Iowa campus using thermal infrared remote sensing data. Aerial data with the spatial resolution of 0.29m and radiometric resolution of 14 bit was collected. A model for the pixel to radiance and temperature conversion was developed with its parameters estimated with an R² of 0.78. Temperature imagery was shown to be consistent over the time of the survey and accurate to within 12°C. The temperature map then was used to assess the conditions of the rooftops and steam pipelines …