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Articles 1 - 16 of 16
Full-Text Articles in Remote Sensing
Object-Oriented Building Extraction And Three-Dimensional Representation Of Building Temperatures In Indianapolis, U.S.A., Jing Han
All-Inclusive List of Electronic Theses and Dissertations
With a rapid development of world population, urbanization has become an important issue in the past century and generated great pressure on the environment. In order to assist urban decision-makers to present, analyze, and solve related issues, accurate and timely spatial information is n~eded in urban areas. This research focused on building information extraction and the relationship analysis of buildings and temperatures in the downtown Indianapolis, IN. Through object-oriented classification, the image derived from LiDAR data was segmented into objects, and spectral, spatial, and textual attributes of objects were measured and selected to extract buildings. Moreover, each building's surface temperature …
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 …
Relationships Between Landscape Pattern And Land Surface Temperature And Their Applications To The Study Of West Nile Virus: As Case Studies In Cities Of Indianapolis And Chicago, United States, Hua Liu
All-Inclusive List of Electronic Theses and Dissertations
A new synthesis of remote sensing and landscape ecology approaches was developed to establish relationships between the landscape patterns and land surface temperatures (LST) in the city of Indianapolis, Indiana, United States. Land use and land cover (LULC) and LST images were derived from Terra Satellite's Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) imagery. An analytical procedure using landscape metrics was developed, applying configuration analysis oflandscape patterns and land surface temperature zones. Detailed landscape pattern analyses at the landscape and class scales were conducted using landscape metrics in the City of Indianapolis. The effects of spatial resolution on the …
Modeling Of Culicidae Population Capacity Using Remote Sensing, Gis, And Fractal Geometry, Daniel Patrick Johnson
Modeling Of Culicidae Population Capacity Using Remote Sensing, Gis, And Fractal Geometry, Daniel Patrick Johnson
All-Inclusive List of Electronic Theses and Dissertations
A remote sensing and fractal geometric approach is proposed for the surveillance of mosquito population. The spread of vector-borne pathogens is becoming increasingly important with recent discussions of extensive human urbanization and global climate change. To date most studies dealing with mosquito transmitted disease surveyed by remote sensing and Geographic Information Systems have been conducted in tropical homogenous locales. This study approached the issue in a rapidly suburbanizing county in the Midwestern portion of the United States. Adult mosquitoes were trapped over a several year period and the landscape of the surrounding patches analyzed via remote sensing, fractal geometry, and …
Biomass Estimation And Classification Of Secondary Succession Using Radar And Optical Remote Sensing Data Based On Textural And Spectral Analysis In Amazonia, Ping Jiang
All-Inclusive List of Electronic Theses and Dissertations
Deforestation that happened during past decades in the Amazon Basin has been potentially affecting the global climate and carbon-cycle by contributing a vast amount of carbon into the atmosphere. Above-ground biomass (AGB) estimation of secondary successional and mature forests using remote sensing technology has been attracting scientists' attention. Optical sensor data are sensitive to forest canopies only, and therefore have limitations in AGB estimation, especially for tropical forests with complex structures and abundant species. Radar signals have the ability to penetrate canopies to detect the sub-layers of forests, and therefore potentially have a better performance in AGB estimation. Based on …
People, Pixels, & Weights: Some Novel Applications Of Remote Sensing And Geographically Weighted Regression For Evansville, Indiana, Eric W. Lafary
People, Pixels, & Weights: Some Novel Applications Of Remote Sensing And Geographically Weighted Regression For Evansville, Indiana, Eric W. Lafary
All-Inclusive List of Electronic Theses and Dissertations
The exploration of urban-environmental changes and how those transformations co-vary with observed socio-economic realities is currently a major research initiative in geography. To that end, this thesis develops an urban-environmental assessment regime that examines how environmental change co-varies with observed socio-economic conditions. Research has demonstrated existing linkages between observed conditions in regard to socio-economic status (SES) and a particular greenness index, as represented by, normal difference vegetation index (NDVI). However, a gap within the literature has been identified concerning the current methodologies that propose to predict SES using remotely sensed data. Therefore, this thesis addresses this gap within the related …
Biomass Estimation Using Statistical And Neural Network Analysis Of Aster Data, Vijay O. Lulla
Biomass Estimation Using Statistical And Neural Network Analysis Of Aster Data, Vijay O. Lulla
All-Inclusive List of Electronic Theses and Dissertations
This study assessed the performance of different biomass estimation methods using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) lll data in a temperate forest. Multiple linear regression statistics of spectral band data and derived indices with biomass values were compared with advanced neural network models created with spectral band data and indices to model biomass values. Biomass for the study area was estimated using both of these methods and the results were discussed. The data were analyzed using multivariate statistical analysis. Correlation analysis and regression analysis were employed to understand the relationship of biomass to the spectral data and …
The Effect Of Scaling-Up On Remotely Derived Leaf Area Index Estimators In The Brazilian Amazon, John I. Menzies
The Effect Of Scaling-Up On Remotely Derived Leaf Area Index Estimators In The Brazilian Amazon, John I. Menzies
All-Inclusive List of Electronic Theses and Dissertations
This research compared a traditional statistical technique with artificial neural networks to determine their effectiveness for modeling LAI in the Santarem region of the Brazilian Amazon. In addition, different satellite sensors in the form of ETM+, ASTER, MO DIS, and IKONOS were used to assess if spatial and spectral resolutions play a role in the ability to estimate LAI. This study focused on the following: (1) Determining if neural networks perform more accurately than multiple regression for LAI modeling (2) the effectiveness of different resolution satellite data including ETM+, ASTER, MODIS, and IKONOS for LAI estimation; (3) determining if spatial …
The Use Of Aster Visible And Near-Infrared Reflectance Values To Estimate Aboveground Biomass In Terre Haute, In, Joel M. Overpeck
The Use Of Aster Visible And Near-Infrared Reflectance Values To Estimate Aboveground Biomass In Terre Haute, In, Joel M. Overpeck
All-Inclusive List of Electronic Theses and Dissertations
Researchers have established that a relationship exists between biomass and satellite reflectance values (Franklin, 1986; Anderson, 1993). Such studies focus on areas with high vegetative homogeneity, with little research being conducted in urban areas. The purpose of this study was to attain a relationship between aboveground biomass and reflectance values from ASTER's (Advanced Spacebome Thermal Emission and Reflection Radiometer) Visible and Near Infrared (VNIR) sensor. In addition a normalized difference vegetation index (NDVI) was generated from the near infrared and red bands to test its relationship with biomass. Aboveground biomass values were calculated from fifty-one 15 x 15 meter randomly …
Classifying Mollisol Soils Using Hyperspectral Remote Sensing Data, Adil M. Wadia
Classifying Mollisol Soils Using Hyperspectral Remote Sensing Data, Adil M. Wadia
All-Inclusive List of Electronic Theses and Dissertations
Soil classification is a complex task that involves several factors. Soil classifications that have been published usually need to be updated as soil series definitions and boundaries change over time. Most existing soil classification surveys in the United States, although often very good, lack the required accuracy for selected applications such as precision agriculture. 111 Hyperspectral remote sensing data, with its 100+ bands and very high spectral resolution can help facilitate soil classification detail not achieved through traditional remote sensing methods. The study area selected for research was Wolf Field, near Homer, Champaign County, Illinois, which is a very agriculturally …
Identification Of Spatial And Temporal Patterns Of Secondary Succession Changes In Altamira, Brazil: Integrating Remote Sensing And Gis Technology, Hui Li
All-Inclusive List of Electronic Theses and Dissertations
There has been extensive use of remote sensing to study secondary succession of moist tropical forests in the Amazon Basin. However, scientists have not totally understood the dynamic processes of secondary succession of Amazon forests. A lack of consensus remains about what is the best approach for biomass estimation in the Amazon Basin using remotely sensed data. It is not clear which spectral wavelength bands have the best relationship with biomass values and what are the specific relationships between biomass and TM satellite radiance. The strategies in this research, based on analysis of detailed ground-based data and satellite TM image …
Satellite Estimation Of Population And Housing Density In Marion County, Indiana, Guiying Li
Satellite Estimation Of Population And Housing Density In Marion County, Indiana, Guiying Li
All-Inclusive List of Electronic Theses and Dissertations
The world population and associated housing area have experienced a high growth rate in the past century and generated great pressure on Earth resources and environments. Accurate and timely population and housing estimates and distributions become important for many applications, such as regional design and development, policy-making, etc. This research reviewed four categories of methods to estimate population and housing using remotely sensed data in a previous study and explored the potentials of integration of Landsat ETM+ data with census data to estimate population and housing density in Marion County, Indiana. Spectral signatures, principal components, vegetation indices, fraction images, texture, …
Identification Of Spatial And Temporal Patterns Of Secondary Succession Changes In Altamira, Brazil: Integrating Remote Sensing And Gis Technology, Hui Li
All-Inclusive List of Electronic Theses and Dissertations
There has been extensive use of remote sensing to study secondary succession of moist tropical forests in the Amazon Basin. However, scientists have not totally understood the dynamic processes of secondary succession of Amazon forests. A lack of consensus remains about what is the best approach for biomass estimation in the Amazon Basin using remotely sensed data. It is not clear which spectral wavelength bands have the best relationship with biomass values and what are the specific relationships between biomass and TM satellite radiance. The strategies in this research, based on analysis of detailed ground-based data and satellite TM image …
Estimation Of Forest Stand Parameters And Application In Classification And Change Detection Of Forest Cover Types In The Brazilian Amazon Basin, Dengsheng Lu
All-Inclusive List of Electronic Theses and Dissertations
This research focuses on measurement of forest stand parameters using remote sensing which is applied to classification and change detection of tropical successional and mature forests in selected areas in the Brazilian Amazon Basin. Three study areas, Altamira, Bragantina, and Pedras, each with different biophysical environments, were selected for this research. Previous research has indicated that relationships between selected stand parameters and remotely sensed data are not clearly understood, especially in tropical areas. Rarely has remote sensing research been successfully conducted in quantitative estimation of forest stand parameters (e.g. biomass) and identification of vegetation growth stages. In this research, atmospherically …
Postfire Vegetation Change Detection Using Landsat Mss And Tm Data, Mark Edward Jakubauskas
Postfire Vegetation Change Detection Using Landsat Mss And Tm Data, Mark Edward Jakubauskas
All-Inclusive List of Electronic Theses and Dissertations
Three dates of Landsat digital data were classified and then analyzed using a geographic information system (GIS). The intent of this study was to determine if differences in burn severity relate to later vegetative cover within a northern pines forest. The May 5, 1980, Mack Lake Fire in the Huron National Forest, Michigan, was selected as the study site for this research. This wildfire burned over 9000 hectares of jack pine, red pine, and mixed deciduous forest within a six-hour period. Landsat MSS data from June 1973 and TM data from October 1982 were classified using an unsupervised approach to …
A Comparative Study Of Geologic Information Derived From Visually Interpreted Slar And Landsat Imagery, William Leo Barry
A Comparative Study Of Geologic Information Derived From Visually Interpreted Slar And Landsat Imagery, William Leo Barry
All-Inclusive List of Electronic Theses and Dissertations
Geologists have used numerous tYPes of remote sensors for the interpretation of earth surface features. Two of the more recently developed remote sensors are SLAR (side-looking airborne radar) and LANDSAT (ERTS, Earth's Resources Technology Satellite, renamed L~~DSAT). The author undertook a straightforward qualitative research study to ascertain and compare the amount, types and reliability of the geologic information which can be derived separately from visually interpreted LANDSAT and SLAR imagery. The area selected for this study is located in north-central Arizona. The imagery analyzed consists of unenhanced black and white ... multispectral scanner (MSS) bands 5, 6 and 7 LANDSAT …