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 31 for “"Google Earth Engine"”.
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Machine Learning & Big Data Analyses for Wildfire & Air Pollution Incorporating GIS & Google Earth Engine
… and severe wildfires. This portion employs the Google Earth Engine (GEE) platform to navigate its geospatial datasets of Moderate Resolution Imaging Spectroradiometer (MODIS) MYD14A1 V6, MCD19A2 Version 6 level 2, and Sentinel-5 Precursor (Sentinel-5P) to validate fire incidents and determine …
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Flood risk modeling and impact assessment using google earth engine in Mpumalanga province, South Africa
… risk assessment and monitoring framework using Google Earth Engine (GEE) cloud computing platform and multi-source spatial data (Sentinel-1 SAR, Sentinel-2 and CHIRPS). The study aimed to assess flood dynamics in the study area through two main components: a detailed assessment of flood events …
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A study of aquatic sedimentation in Chattanooga, Tennessee, using GIS and remote sensing technology integrated with hydrodynamic and watershed models
… there. The obtained results indicate that using Google Earth Engine (GEE), Landsat satellite can be used to estimate historical turbidity in the Tennessee River. Using field measurements and laboratory analyses the obtained satellite derived turbidity estimation can be converted to SSC, which can …
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robustraster - A Python Software Package To Lower the Barrier of Entry for Large-Scale Geospatial Analysis
… Notably, cloud-based geospatial APIs like Google Earth Engine (GEE) have emerged as a formidable solution to this problem, offering access to petabytes of satellite imagery and a suite of analytical tools, all while removing the concerns regarding data storage and computational resources. …
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Metodología para la Calibración de Modelos de Transporte de Sedimentos en puertos. Aplicación a la costa del Perú
… hidrográficos, batimétricos y satelitales (e.g. Google Earth Engine, Sentinel-2) de cada zona portuaria y su entorno. Con esta información se calibraron y validaron modelos de transporte de sedimentos, determinando las variaciones morfológicas y estandarizando una metodología aplicable a la costa …
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Impacts of land use land cover changes in mountainous catchments – a case study of Klaserie Catchment, Mariepskop Mountain
… the Random Forest classifier, processed within Google Earth Engine (GEE). This approach was used to detect and delineate spatiotemporal changes across four major LULC categories: vegetation, bare land, built-up areas, and water bodies. Classification accuracies averaged (91–97%) with Kappa …
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Sustainable Intensification of Agriculture: Opportunities and Challenges for Food Security and Agrarian Adaptation to Environmental Change in Bangladesh
… time series model, the Landsat archive, and Google Earth Engine. Major findings from this dissertation include: (1) agrarian communities in the polder region face food insecurity during the peak of monsoonal paddy rice production and could improve production by adopting HYV or second season …
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National crop field delineation for the United States
… can be readily used with geospatial tools like Google Earth Engine. Our work provides a practical starting point for future research on mapping fields across the contiguous U.S. Potential directions for improvements may involve developing sharper boundary predictions, exploring direct instance …
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Identifying Biophysical Drivers of Evapotranspiration for Forest Cover in a Mountainous Region
… from 2015 to 2020 were obtained through the Earth Engine Evapotranspiration Flux (EEFLUX) platform on Google Earth Engine. Using supplementary GridMET reference evapotranspiration (ETr) data, temporal interpolation methods were applied to generate pixel-level daily ET profiles for the entire …
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Avaliação temporal da conversão de uso do solo e implicações para emissões de carbono no município de Rio Verde (GO)
… Solo Coleção 2.1, processados na plataforma Google Earth Engine (GEE). As análises incluíram a elaboração de matrizes de transição, o cálculo de estoques de carbono no solo e na biomassa, e a conversão dos resultados em CO₂ equivalente (CO₂eq), conforme as diretrizes do IPCC (2006; 2019). Os …
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SOARNET, Deep Learning Thermal Detection for Free Flight
… conditions and terrain information obtained from Google Earth Engine and thermal regions encountered as truth labels. We were able to converge very well on the training and validation set, proving our method with around a 0.98 F1 score. These results indicate success in creating a custom dataset …
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Wildfire path spread prediction system using machine learning: use of ANN, convolutional autoencoder, and ConvLSTM ML model
… domain knowledge of fire behaviour and utilised Google Earth Engine(GEE) weather data and Sentinel Hub burned scars satellite data to train a logistic method for simulating fire burn maps. The ML models were then trained, tested, and validated using this data. An analysis of the models' …
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A Global GIS Analysis of Primate Diversity and Biogeography: Assessing Trends in Habitat Loss and Extinction Risk to Inform Primate Conservation
… most diverse and threatened species groups on earth with more than two-thirds classified as “Threatened” (i.e. Vulnerable, Endangered or Critically Endangered) by the IUCN. Primates are keystone species and essential to ecosystem function through their roles as pollinators and seed dispersers. …
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Ανάπτυξη Γεωχωρικού Μοντέλου Αξιολόγησης Πλημμυρικής Επιδεκτικότητας με Χρήση Τεχνολογιών Τηλεπισκόπησης και Μεθόδων Μηχανικής Μάθησης. Εφαρμογή στην Νήσο της Ρόδου
… γεωχωρικά δεδομένα και υλοποίηση σε περιβάλλον Google Earth Engine. Αρχικά πραγματοποιούνται συλλογή, εναρμόνιση και προεπεξεργασία των δεδομένων, τεκμηρίωση ιστορικού πλημμυρικών συμβάντων και δημιουργία δειγμάτων πλημμύρας/μη-πλημμύρας για την εκπαίδευση και έλεγχο των μοντέλων, ενώ …
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Remote Detection of Surging Glaciers Across High Mountain Asia
… using satellite imagery were delimited using Google Earth Engine Digitisation Tool (GEEDiT). Subsequently, using terminus change profiles, a 6-part classification scheme was developed to characterise surge phenomenology. Surging variables, including duration, terminus advance distance, …
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Land Use Change in The Knysna River Catchment and Its Impacts on the Geomorphological Characteristics of the Estuary between 1984 and 2019
… datasets.' (Liu et al., 2020) method namely Google Earth Engine (GEE) is applied utilizing multi-temporal satellite imagery and Sentinel as interpretation to understand land use change over 35 years. A timeseries associated with land use changes and biodiversity loss were considered between …
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Reconstruction of multiple climate variables at high spatiotemporal resolution based on Big Earth data platform
… expected to become more frequent and severe. A Google Earth Engine-based toolkit named heat wave tracker (HWT) is developed, which can be used for dynamic visualization, extraction, and processing of complex heat wave events. The datasets, toolkit, and findings we developed contribute to global …
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Remote sensing characterisation of the forest-tundra ecotone
… data availability and computing powers of the Google Earth Engine (GEE) platform. Building on the theory of treeline ‘forms’, a continuous measurement of fragmentation is developed based on window spectral analysis to represent the spatial characteristics of the FTE. Statistical relationship …
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Remote sensing evaluation of Cape parrot habitat in the Eastern Cape: implications for conservation
… an open and accessible product in the form of a Google Earth Engine App to share with conservation managers in the area.
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Detecting and predicting land use and land cover change in the cross-sanaga-bioko coastal forest region for sustainable forest management
… will be accomplished with the aid of GIS tools (Google Earth Engine and ArcGIS Pro) and remote sensing data (LULC maps and digital elevation models) in the CSB region. Land use and land cover (LULC) changes in forested regions are critical indicators of environmental transformation, contributing …
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