Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 118 for “"remotely sensed data"”.
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Machine learning for automatic classification of remotely sensed data
As more and more remotely sensed data becomes available it is becoming increasingly harder to analyse it with the more traditional labour intensive, manual methods. The commonly used techniques, that involve expert evaluation, are widely acknowledged as providing inconsistent results, at best. We …
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Rivers Hydromorphological Characterization from High Resolution Remotely Sensed Data
… primarily based on surface spectral reflectance data without accounting for water column attenuations. This study aims at retrieving the bottom reflectances in shallow rivers and then examining the effectiveness of inferred bottom spectra in mapping of substrate types. Bathymetry and diffuse …
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Spatial reasoning about remotely sensed data for drainage network mapping
… from the topographic information in the LANDSAT data. From the reflectance information, visible stream segments can be detected. From the topographic information, ridges and valleys can be located and assigned relative elevations by an elevation growing model. Based on these, a complete elevation …
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Estimation of Important Scenic Beauty Covariates from Remotely Sensed Data
… objective of this study was to determine if remotely sensed data could be used to model scenic beauty. Terrestrial digital images from within forest stands located in Prince Edward Gallion State Forest near Farmville, Virginia were rated for their scenic beauty by a group of students to …
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Automated Building Information Extraction and Evaluation from High-resolution Remotely Sensed Data
… challenging to extract building information from remotely sensed data, considering the complex nature of urban environments and their associated intricate building structures. Most 2D evaluation methods are focused on classification accuracy, while other dimensions of extraction accuracy are …
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Fusion Approaches to Individual Tree Species Classification Using Multi-Source Remotely Sensed Data
… (PAN), and Light Detection and Ranging (LiDAR) data for five object-based tree species classification in an urban environment. The results demonstrated that 3D structural features contributed more to tree species with broad crowns, such as honey locust and Austrian pine, whereas textural …
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A Data Fusion Framework for Floodplain Analysis using GIS and Remotely Sensed Data
… research was conducted to determine how remotely sensed data can effectively be used to produce accurate flood plain maps (FPMs), and to identify/quantify the sources of error associated with such data. Differences were analyzed between flood maps produced by an automated remote sensing …
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Spatiotemporal Informatics for Sustainable Forest Production Utilizing Forest Inventory and Remotely Sensed Data
… connection drives an increased need for improved data and analytical techniques for assessing the status and trends of forests, trees, their products, and their services. Techniques for using readily available data such as the Forest Inventory and Analysis (FIA) database and output from forest …
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Development of hydraulic relationships for estimating in-bank river discharge using remotely sensed data
<p>An evaluation of river hydraulic data currently or potentially available from satellite and other remote platforms was completed, and a set of discharge estimation models proposed that can use the remotely sensed information to estimate discharge with reasonable accuracy. Reasonable accuracy is …
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A Methodology For Using Thematic Mapper Landsat Remotely Sensed Data to Determine Environmental Quality
… the relationship between Landsat Thematic Mapper remotely sensed digital data and the spectral reflectance of an ecosystem. This relationship can be used to infer environmental quality of a pristine wilderness area, such as Piney Creek Wilderness. The environmental variables studied were geology, …
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Braided rivers: an exploratory study combining flume experiments and the analysis of remotely-sensed data
… The second and third parts of the research use remotely sensed data sets to explored (i) the degree to which a real river shows similar characteristics to those generated in the flume experiments and (ii) the variety in braiding patterns that are found in association with different boundary …
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Wetlands Characterization in the Congo River Basin Using Multi-source Remotely Sensed Data and Field Survey
… Multi-source and multi-resolution remote sensing data are used along with a state-of-the art decision tree classification method to map the wetlands extent in the Democratic Republic of the Congo (DRC). This map is then combined with vegetation and forest cover change maps published in Potapov et …
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A comparison of cross-stream velocities and Gulf Stream translations utilizing in-situ and remotely-sensed data
… of the Gulf Stream as measured by satellite data. Additionally, the effects of recently quantified cross-stream velocities associated with the curvature of Gulf Stream meanders were analyzed.
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Quantifying terrestrial ecosystem carbon dynamics with mechanistically-based biogeochemistry models and in situ and remotely sensed data
… biogeochemistry models and in situ and remotely sensed data.</p> <p>The upscaling studies based on FLUXNET network has provided us the spatial and temporal pattern of the carbon fluxes but it fails to consider the atmospheric CO2 effect given its important physiological role in carbon …
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A “Neighborhood” Approach for Using Remotely Sensed Data to Post-Process Species Distribution Models for Conservation Assessments
… can exceed the fine resolution of the additional data. Here, I present a novel yet simple methodological approach to reflect this reality of coordinate uncertainty of occurrence records and mismatch between climatic and habitat data resolution. I implement it for a forest-dwelling species …
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A comparison of cross-stream velocities and Gulf Stream translations utilizing in-situ and remotely-sensed data
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Earth, Atmosphere and Planetary Sciences, 1988.
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Classification and modeling of trees outside forest in Central American landscapes by combining remotely sensed data and GIS
… number ERB3514PL973202). Most of the raw data was provided for this research initiative and some of the results obtained in the project were used with the consent of the authors. <br>Study sites are located in Costa Rica and Honduras, both covering an area of 199,600ha. Both areas are …
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An Investigation Into the Detection and Analysis of Selected Landfills Within Central and Southwest Missouri Using Remotely Sensed Data
… Five. The on-board sensor captures reflectance data from several bands of the electromagnetic spectrum, some of which are used to detect plant vigor, barren soil, and certain plant species. Consequently, it has the potential to detect landfills and assess their physical characteristics. This …
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