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 108 for “"Earth Observation"”.
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Rule-based system architecting of Earth observation satellite systems
… The framework is applied to the domain of Earth observing satellite systems (EOSS). Three EOSS are studied in depth: the NASA Earth Observing System, the NRC Earth Science Decadal Survey, and the Iridium GEOscan program. The ability of the framework to produce useful results is shown, and …
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Campaign-level science traceability for Earth observation system architecting
The Earth Sciences Decadal Survey of 2007 presented a comprehensive vision for the evolution of space-based Earth Science resources. The practical development of the Decadal campaign, however, has highlighted four challenges to the original plan: the growth of expected costs and the reduction of …
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Integrating spacecraft and aircraft in Earth Observation System architectures
The Global Earth Observation System (GEOS) is the essential data gathering network that enables the advancement of Earth science. In recent years, efforts have been made to understand the major GEOS architectural tradeoffs. Several decision support tools have been developed, including the …
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Reconfigurable satellite constellations for geo-spatially adaptive Earth observation missions
Continuously increasing demand for Earth observation in atmospheric research, disaster monitoring, and intelligence, surveillance and reconnaissance (ISR) has been met by responsive architectures such as unmanned aerial systems (UAS) or artificial satellites. Space-based architectures can provide …
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Tradespace analysis for Earth Observation Constellations : a value driven approach
In recent years, the Earth Observation (EO) industry has experienced rapid growth and development, but the tools to analyze EO constellations and space systems are lagging behind the curve. In particular, as costs continue to decrease to the point where constellations are treated like commodities, …
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Feature extraction and data reduction for hyperspectral remote sensing Earth observation
Earth observation and land-cover analysis became a reality in the last 2-3 decades thanks to NASA airborne and spacecrafts such as Landsat. Inclusion of Hyperspectral Imaging (HSI) technology in some of these platforms has made possible acquiring large data sets, with high potential in analytical …
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Real-Time Multiresolution Management of Spatiotemporal Earth Observation Data Using DGGS
Earth observation (EO) data play a crucial role in environmental monitoring, climate analysis, and other large-scale geospatial applications. However, the rapid growth in the volume, spatial resolution, and temporal frequency of modern EO datasets has made their storage, processing, and access …
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Near-real-time insight delivery pipeline for earth observation satellite images
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-19 without embargo terms
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Using Earth Observation-Informed Modeling to Inform Sustainable Development Decision-Making
… impact, with a particular emphasis on the use of earth observation data. To accomplish this, it explores the efficacy and difficulties of collaboratively developing a systems-architecture-informed, multidisciplinary GIS decision support system for sustainable development applications that makes …
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Toward Real-time Earth Observation with Satellite Constellation Crosslinks and Propulsion
… has created the potential for high-resolution Earth-observation data to reach end users faster. This work investigates how propulsion and intersatellite links enable constellations to continuously collect and deliver data faster than constellations without these capabilities. This work has four …
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Deep image representation learning for knowledge discovery from earth observation data archives
… support researchers to have access to massive Earth observation data archives. To automatically extract knowledge from these archives on a large-scale, deep learning (DL) based RS image representation learning (IRL) has attracted great attention. However, existing methods have limitations on: …
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Earth observation technologies for improved agricultural decision support systems in South Africa
This work investigates the application of remotely sensed data and advanced machine learning techniques in enhancing sustainable agricultural practices in South Africa, focusing on crop monitoring, water use efficiency, and land management. Firstly, a systematic review of remote sensing …
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Integrating earth observation in hydrological modeling: A data and computing-intensive approach
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-08-01
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The Impact of Radiometric Calibration Error on Earth Observation-supported Decision Making
Earth Observation through satellites enables decision makers to assess situations near real-time with unprecedented spatial coverage. The data-value added products from radiometric satellite images often use indices derived from the unique spectral properties of materials and are sensitive to the …
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Design and evaluation of distributed spacecraft missions for multi-angular Earth observation
… are gaining momentum in their application to Earth science missions owing to their ability to increase observation sampling in spatial, spectral and temporal dimensions. This thesis identifies a gap in the angular sampling abilities of monolithic spacecraft in Earth observation missions and …
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PyrSat - Prevention and response to wild fires with an intelligent Earth observation CubeSat
Forest fires are a pervasive and serious problem. Besides loss of life and extensive environmental damage, fires also result in substantial economic losses, not to mention property damage, injuries, displacements and hardships experienced by the affected citizens. This project proposes a low-cost …
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Towards high fidelity mapping of global inland water quality using earth observation data
… applicable water quality retrieval models using Earth Observation data for freshwater systems. Eutrophication and increasing prevalence of potentially toxic algal blooms among global inland water bodies have become a major ecological concersn and require direct attention. There is now a growing …
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VLEO-Bench: A Framework to Evaluate Vision-Language Models for Earth Observation Applications
… capabilities on natural images transfer to Earth observation (EO) data, which are predominantly satellite and aerial images less common in VLM training data. In this work, we propose VLEO-Bench, a comprehensive evaluation framework to quantify the progress of VLMs toward being useful tools …
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A Deep Learning Study on the Retrieval of Forest Parameters from Spaceborne Earth Observation Sensors
… bio-physical forest parameters from spaceborne Earth Observation (EO) data. This work explores for the first time the combined use of TanDEM-X single-pass interferometric products and convolutional neural networks for canopy height estimation at country scale. To achieve this, a novel deep …
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