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 17 of 17 for “"Remote Sensing (RS)"”.
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Improving satellite data interoperability: Large-scale data integration and agricultural applications in the US Midwest
… monitoring is more needed than ever. Satellite remote sensing (RS) offers unique insights into this field of research. Scalability is perhaps the most irreplaceable advantage of satellite RS for earth system models. However, accompanied with the surge of satellite data availability is the …
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Geospatial Technology/Traditional Ecological Knowledge-Derived Information Tools for the Enhancement of Coastal Restoration Decision Support Processes
… The primary goal was to provide resource managers with a comprehensive method of assessing localized ecological change in the Gulf Coast region that can benefit community sustainability. Using Remote Sensing (RS), Geographic Information Systems (GIS), and other geospatial technologies integrated …
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Protection and management of marine areas in the Mediterranean Sea: applications of satellite remote sensing
… and communities), maintaining the biological diversity, and safeguarding the associated historical and cultural resources. MPAs accommodate local communities and regulate the different uses of the sea, fostering more sustainable use of marine resources. Moreover, MPAs are increasingly being used …
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Measuring grassland response to management using optical remote sensing
… response to management methods using optical remote sensing (RS) imagery. More specifically, the purpose is to overcome the challenges facing the application of optical RS for evaluating grassland conditions (dead material estimation and the issue of mixed pixel for green vegetation …
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Ecological risk models for visceral leishmaniais [sic] in Bahia, Brazil and diagnosis of Trypanosoma cruzi infection in dogs in south central Louisiana
… system using earth observing satellite remote sensing (RS), the Genetic Algorithm for Rule-Set Prediction (GARP) and the growing degree day-water budget (GDD-WB) concept to predict the distribution and potential risk of visceral leishmaniasis (VL) in the State of Bahia, Brazil. The …
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CLIP-RS: A Cross-modal Remote Sensing Image Retrieval Based on CLIP, a Northern Virginia Case Study
… Despite the abundance of publicly available remote sensing images, very few remote sensing (RS) images are labeled and even fewer are multi-captioned.These scarcities limit the scope of fine tuned state of the art models to at most 38 classes, based on the PatternNet data, one of the largest …
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A Deep Learning Framework for Investigating Spatio-temporal Evolution of Land Use and Land Cover Patterns
… substantial impacts on climate change, biodiversity, food production, and social-economic inequality. This makes it urgent to understand the changes in urban Land-use and Land-cover (LULC) patterns. At present, the understanding of the spatio-temporal evolution of LULC patterns is heavily …
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Deep image representation learning for knowledge discovery from earth observation data archives
Advances in remote sensing (RS) technology have increased the availability of images regularly acquired by satelliteborne and airborne sensors, while free data policies support researchers to have access to massive Earth observation data archives. To automatically extract knowledge from these …
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Robust Deep Learning Methodologies for Weakly Supervised Remote Sensing Image Classification
… and sequential data processing. However, in remote sensing (RS), DL is often hindered by scarce and imperfect labeled data. This limits the effectiveness of DL in RS, requiring the development of DL techniques that exploit different kinds of imperfect and weak annotations. This thesis …
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A framework for determining remote sensing capabilities for ecosystem services valuation
… for informed economic and development decisions. Remote sensing (RS) technology offers a powerful way to monitor natural capital (e.g., mapping forest cover, assessing water quality). However, current data lack the accuracy and precision needed for robustly monitoring the value of these services. …
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A study of remote sensing based natural and built environment monitoring: from fully supervised to weakly supervised learning
Remote Sensing (RS) has been one of the pivotal technologies in the monitoring of natural and built environments and has been widely applied for disaster monitoring, damage detection for civil structures and infrastructure, impact assessment, and many decision-making tasks. In this dissertation, I …
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IMAGE CAPTIONING FOR REMOTE SENSING IMAGE ANALYSIS
… them into a sentence. In the context of remote sensing (RS) analysis, IC has been emerging as a new research area of high interest since it not only recognizes the objects within an image but also describes their attributes and relationships. In this thesis, we propose several IC methods …
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The Assessment of habitat condition and consevation status of lowland British woodlands using earth observation techniques.
… status at a range of scales based on indicators. Woodland condition can be described in terms of compositional and structural attributes (e.g. overstorey, understorey, ground flora), evidence of natural turnover (e.g. deadwood and tree regeneration), andanthropogenic influences …
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Distributed Hydrologic Modeling of the Upper Roanoke River Watershed using GIS and NEXRAD
… use "lumped" or spatially averaged parameters. Lumped model parameters often must be developed empirically or through optimization rather than be calculated from field measurements or existing data. Recent advances in geographic information systems (GIS) remote sensing (RS), radar …
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Advanced Methods for Remote Sensing Image Captioning
… semantic representation of the image, understanding its contents. This ability, although instinctive and almost effortless for us, is very difficult to reproduce inside machines. Researchers have worked to replicate human image perception for decades, initially focusing on categorizing …
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Remote Sensing-based Channel Modeling and Deployment Planning for Low-power Wireless Networks
… properties of the target location and understand where to place the wireless nodes. The characteristics of the environment, both static (e.g., obstacles obstructing the link line of sight) and dynamic (e.g., changes in weather conditions) cause variability in the communication performance, …
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SQUATTER SETTLEMENTS IN TRIPOLI, LIBYA: ASSESSING, MONITORING, AND ANALYZING THE INCIDENCE AND PREVALENCE OF URBAN SQUATTER AREAS IN THE PERI-URBAN FRINGE
… the success rate has been low, due to many factors. The ambition of this dissertation is to identify insights concerning the factors that led to the incidence and the prevalence of the squatter settlements. In this dissertation, a critical qualitative method included face to face interviews. The …