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 8 of 8 for “"multi-temporal remote sensing"”.
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Broad-scale Assessment of Crop Residue Management Using Multi-temporal Remote Sensing Imagery
… of when and where it is practiced. Spatial and temporal specifics of tillage practices form important dimensions for development of effective crop management practices and policies. Because Landsat has been and will continue to image the Earth globally, it provides opportunities for systematic …
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Multi-temporal remote sensing for estimation of plant available water-holding capacity of soil
… explain a large proportion of the spatial and temporal crop yield variability. The overall aim of this research was to develop a methodology to estimate spatial pattern of PAWC at a high spatial resolution using satellite-based remote sensing techniques. The underlying hypothesis is that the …
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Multi-temporal Remote Sensing of Changing Agricultural Land Uses within the Midwestern Corn Belt, 2001-2015
… studies. The first study examined spatial and temporal dimensions of agricultural land use dynamics in east-central Iowa, 2001-2012. Results of this study indicated that increases in corn production in response to US biofuel policies had been achieved mainly by altering crop rotation. This …
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Cybergis-enabled remote sensing data analytics for deep learning of landscape patterns and dynamics
… light detection and ranging (LiDAR) remote sensing data provides tremendous opportunities to unveil complex landscape patterns and better understand landscape dynamics from a 3D perspective. LiDAR data have been applied to diverse remote sensing applications where large-scale …
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Quantitative rice mapping with remote sensing image time series
… algorithms for quantitative rice mapping with remote sensing time series, including data pre-processing, crop identification, rice classification, and rice variety separation. Time-series optical and Synthetic-Aperture Radar (SAR) data delivered by the Sentinel satellites are utilised. Testing …
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A Deep Learning Framework for Investigating Spatio-temporal Evolution of Land Use and Land Cover Patterns
… At present, the understanding of the spatio-temporal evolution of LULC patterns is heavily constrained by the lack of efficient and precise methods of mapping and predicting LULC changes, particularly for the areas that have few established data sources. The main aim of the research is to …
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Study of spatiotemporal changes within the abandoned flotation plant site of Kirki (NE Greece) via clustering on Sentinel-2 data
… research at the site, the spatial extent and temporal dynamics of surface mineral assemblages have never been examined through satellite-based spectral analysis. This thesis applies multi-temporal remote sensing to characterize contamination patterns across the Kirki tailings complex between …
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Ground-based hyperspectral and spectro-directional reflectance characterization of Arctic tundra vegetation communities : field spectroscopy and field spectro-goniometry of Siberian and Alaskan tundra in preparation of the EnMAP satellite mission
… remaining closest to its untouched condition. Remote sensing is able to provide information at regular time intervals and large spatial scales on the structure and function of Arctic ecosystems. But almost all natural surfaces reveal individual anisotropic reflectance behaviors, which can be …