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Dissertations / Theses on the topic 'Google Engine Earth'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Vahidi, Mayamey Farzad. "Improving the water-extent monitoring of Swedish wetlands with open-source satellite data and Google Earth Engine." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022.

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Wetlands are essential for controlling the global climate, sustaining the global hydrological cycle, conserving ecological variety, and ensuring human wellbeing. As wetlands are one of the most endangered environments due to land conversion, infrastructure development, and overexploitation, they require constant monitoring. In Sweden, there are 68 sites recognized as wetlands with international importance. The inundated area and the connectivity of the wetlands are affected by climate change. For this reason, we need to better delineate water bodies in these valuable environments. Advances in

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2

FATTORE, CARMEN. "Verso un approccio multi-scala, multi-temporale e multi-sensore per il monitoraggio del Capitale Naturale nell’era dei Big Earth Data. Metodi, tecniche e sviluppi futuri per la valutazione del danno post-evento." Doctoral thesis, Università degli studi della Basilicata, 2022. http://hdl.handle.net/11563/158586.

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La crescente disponibilità di nuove tecnologie, il miglioramento e la miniaturizzazione di quelle attuali, la maggiore accessibilità ai dati con particolare riferimento all’ accesso gratuito a numerosi (NASA, ESA) archivi di immagini telerilevate, la crescita delle potenzialità offerte dalle tecnologie di Earth Observation (EO), possono offrire una grande quantità di informazioni (EO) destinate alla comunità scientifica e non. Tuttavia, per estrarre utili informazioni dalla immensa quantità di dati oggi disponibili occorre definire, progettare ed implementare nuovi approcci di analisi ed inte

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3

Ільченко, Катерина Володимирівна. "Космічний моніторинг забудови території міста Києва". Thesis, Національний авіаційний університет, 2020. http://er.nau.edu.ua/handle/NAU/41605.

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Об’єкт дослідження: територія міста Києва. Предметом є її зміна за рахунок забудови, в тому числі неспланованої та незаконної. Мета дипломної роботи: визначення проблем та встановлення масштабів забудови території міста Києва за допомогою методів космічного моніторингу. Методи дослідження: обробка літературних джерел, застосування методів класифікації для візуалізації масштабів забудови території міста Києва, використання платформи Google Earth Engine для виконання класифікації та порівняння її результатів, аналіз отриманих даних, виконання певних розрахунків на основі отриманих даних. Рез

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4

Ganem, Khalil Ali. "Classificação da cobertura do solo na Caatinga a partir de imagens do Landsat-8 e da ferramenta Google Earth Engine : uma comparação entre dados com e sem correção atmosférica." reponame:Repositório Institucional da UnB, 2017. http://repositorio.unb.br/handle/10482/23501.

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Dissertação (mestrado)—Universidade de Brasília, Instituto de Geociências, Programa de Pós-Graduação em Geociências Aplicadas, 2017.<br>Submitted by Raquel Almeida (raquel.df13@gmail.com) on 2017-05-12T19:49:30Z No. of bitstreams: 1 2017_KhalilAliGanem.pdf: 7800118 bytes, checksum: 7922fe6795a865561d79dc0353d14fe4 (MD5)<br>Approved for entry into archive by Raquel Viana (raquelviana@bce.unb.br) on 2017-05-16T17:02:32Z (GMT) No. of bitstreams: 1 2017_KhalilAliGanem.pdf: 7800118 bytes, checksum: 7922fe6795a865561d79dc0353d14fe4 (MD5)<br>Made available in DSpace on 2017-05-16T17:02:32Z (GMT). No.

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5

Schirinzi, Mattia. "Action cam per la raccolta di verità a terra propedeutica all'identificazione di colture agricole attraverso immagini ottiche del satellite Sentinel-2." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/22341/.

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Il telerilevamento ha reso possibile l’applicazione di tecnologie in grado di ridurre gli impatti sull’ambiente. Tra queste, la missione Sentinel-2 di ESA è in grado di fornire informazioni per contrastare il cambiamento climatico. In questo elaborato, l’utilizzo di una action cam per il monitoraggio di appezzamenti agricoli correlata all’utilizzo di bande Sentinel-2 e degli indici NDVI e NDWI hanno permesso di valutare l’andamento fenologico in una serie di appezzamenti della Provincia di Ravenna. Il primo risultato è stato quello di ottenere ground truth (GTs) a basso costo che potessero int

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6

Martino, Filippo. "Analisi multitemporale del dissesto da immagini satellitari Sentinel (provincia di Forlì-Cesena)." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2020.

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La tesi ha l'obbiettivo di testare le capacità del software Google Earth Engine nel telerilevamento satellitare del dissesto e più precisamente nell'individuazione di frane. L'analisi svolta considera frane recenti note avvenute nella provincia di Forlì-Cesena e cerca di riconoscerne l'attivazione attraverso il confronto di immagini satellitari Sentinel nel tempo. Lo scopo è definire le caratteristiche (tipologia, dimensioni) dei fenomeni effettivamente riconoscibili con questa tecnologia, nella prospettiva che essa possa trovare applicazione in ambiti quali lo studio dell'occorrenza delle f

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7

Sanchez, Luna Maria M. "MAPPING SMALL SCALE FARMING IN HETEROGENEOUS LANDSCAPES: A CASE STUDY OF SMALLHOLDER SHADE COFFEE AND PLASTIC AGRICULTURE FARMERS IN THE CHIAPAS HIGHLANDS." Miami University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=miami1564228778095931.

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8

Stromann, Oliver. "Feature Extraction and FeatureSelection for Object-based LandCover Classification : Optimisation of Support Vector Machines in aCloud Computing Environment." Thesis, KTH, Geoinformatik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-238727.

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Mapping the Earth’s surface and its rapid changes with remotely sensed data is a crucial tool to un-derstand the impact of an increasingly urban world population on the environment. However, the impressive amount of freely available Copernicus data is only marginally exploited in common clas-sifications. One of the reasons is that measuring the properties of training samples, the so-called ‘fea-tures’, is costly and tedious. Furthermore, handling large feature sets is not easy in most image clas-sification software. This often leads to the manual choice of few, allegedly promising features. In

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9

Althén, Bergman Felix, and Evelina Östblom. "GIS-based crisis communication : A platform for authorities to communicate with the public during wildfire." Thesis, KTH, Geoinformatik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-253072.

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Today, people are used to having technology as a constant aid. This also sets expectations that information should always be available. This, together with ongoing climate change that has led to more natural disasters, has laid the foundation for the need to change the methodology for how geographical data is collected, compiled and visualized when used for crisis communication. This study explores how authorities, at present, communicate with the public during a crisis and how this can be done in an easier and more comprehensible way, with the help of Geographical Information Systems (GIS). T

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10

Guo, Qi. "Bangladesh Shoreline Changes During the Last Four Decades Using Satellite Remote Sensing Data." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1503258115717912.

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11

BELCORE, ELENA. "Generation of a Land Cover Atlas of environmental critic zones using unconventional tools." Doctoral thesis, Politecnico di Torino, 2021. http://hdl.handle.net/11583/2907028.

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12

Costa, Susana Elisabete Pereira da. "Google Earth™ search engine: classificação de imagens aéreas." Master's thesis, 2013. http://hdl.handle.net/10400.6/3695.

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O reconhecimento de padrões com recurso a redes neuronais é cada vez mais utilizado, numa tentativa de dotar as máquinas computacionais de inteligência e capacidade de aprendizagem. Neste trabalho pretende-se reconhecer determinados elementos naturais como ’água’, ’casas’ ou ’estradas’, em imagens aéreas provenientes do Google EarthTMe do Google MapsTM, recorrendo à utilizando redes neuronais para o efeito. Foram realizadas experiências com quatro conjuntos de imagens utilizados para o treino da rede neuronal, com variação de número de neurónios, e foram analisados os erros de classiﬁcação tes

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13

Torres, Maria Leticia Cardozo, and 馬莉亞. "Deforestation Assessment in the Paraguayan Chaco using Google Earth Engine." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/wh3fu4.

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碩士<br>國立中央大學<br>國際永續發展碩士在職專班<br>107<br>Forests act as a reservoir of biodiversity, shelter to wildlife, carbon sinks, and mitigates climate change. Despite their importance, they have been threatened by human activities, which is the main driver of deforestation. The objectives of this study are the assessment and analysis of deforestation in the Paraguayan Chaco, South America, by means of satellite image classification and analysis through the cloud-based Google Earth Engine (GEE) platform. Landsat images from the years of 2013 and 2017 were classified by a pixel-based supervised Random Fore

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14

Silva, Ana Luísa Fernandes. "Estudo de seca na Península Ibérica usando o Google Earth Engine." Master's thesis, 2018. https://hdl.handle.net/10216/118799.

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15

Silva, Ana Luísa Fernandes. "Estudo de seca na Península Ibérica usando o Google Earth Engine." Dissertação, 2018. https://hdl.handle.net/10216/118799.

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16

Alwahas, Areej. "Using Google Earth Engine for the Automated Mapping of Center Pivot Irrigation fields in Saudi Arabia." Thesis, 2021. http://hdl.handle.net/10754/668981.

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Groundwater is a vital non-renewable resource that is being over exploited at an alarming rate. In Saudi Arabia, the majority of groundwater is used for agricultural activities. As such, the mapping of irrigated lands is a crucial step for managing available water resources. Even though traditional in-field mapping is effective, it is expensive, physically demanding, and spatially restricted. The use of remote sensing combined with advanced computational approaches provide a potential solution to this scale problem. However, when attempted at large scales, traditional computing tends to

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17

Almeida, Sabrina Couto de. "ANÁLISE DO ABANDONO AGRÍCOLA NO BAIXO VOUGA LAGUNARRECORRENDO AO ÍNDICE DE NDVI E AO GOOGLE EARTH ENGINE." Master's thesis, 2020. https://hdl.handle.net/10216/128197.

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18

Almeida, Sabrina Couto de. "ANÁLISE DO ABANDONO AGRÍCOLA NO BAIXO VOUGA LAGUNARRECORRENDO AO ÍNDICE DE NDVI E AO GOOGLE EARTH ENGINE." Dissertação, 2020. https://hdl.handle.net/10216/128197.

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19

Kanee, Sarah. "A Multi-platform Comparison of Phenology for Semi-automated Classification of Crops." Thesis, 2021. http://hdl.handle.net/10754/670218.

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Remote sensing has enabled unprecedented earth observation from space and has proven to be an invaluable tool for agricultural applications and crop management practices. Here we detect seasonal metrics indicating the start of the season (SOS), the end of the season (EOS) and maximum greenness (MAX) based on vegetation spectral signatures and the normalized difference vegetation index (NDVI) for a time series of Landsat-8, Sentinel-2 and PlanetScope imagery of potato, wheat, watermelon, olive and peach/apricot fields. Seasonal metrics were extracted from NDVI curves and the effec

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20

Santos, Maria João Gonçalves dos. "Classificação de culturas agrícolas de Inverno com recurso à plataforma Google Earth Engine e imagens dos satélites Sentinel-1 e Sentinel-2." Master's thesis, 2021. http://hdl.handle.net/10451/48443.

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Trabalho de projeto de mestrado em Sistemas de Informação Geográfica (Tecnologias e Aplicações), Universidade de Lisboa, Faculdade de Ciências, 2021<br>A área de deteção remota é uma área em desenvolvimento devido a sua capacidade em adquirir remotamente dados da superfície e da atmosfera da Terra ou de qualquer outro planeta. A quantidade massiva de dados e de imagens de satélite existentes, tem contribuído para uma melhoria e para um aumento da qualidade de informação de observação da Terra. As metodologias científicas tais como a classificação supervisionada por imagens de satélite têm sid

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21

Machado, Daniel Carlos dos Santos. "Analyzing Geospatial patterns of syrian refugee flows in southeastern Turkey by use of remote sensing and complementary data." Master's thesis, 2015. http://hdl.handle.net/10362/14556.

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Crisis-affected communities and global organizations for international aid are becoming increasingly digital as consequence geotechnology popularity. Humanitarian sector changed in profound ways by adopting new technical approach to obtain information from area with difficult geographical or political access. Since 2011, turkey is hosting a growing number of Syrian refugees along southeastern region. Turkish policy of hosting them in camps and the difficulty created by governors to international aid group expeditions to get information, made such international organizations to investigate and

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22

Traganos, Dimosthenis. "Development of seagrass monitoring techniques using remote sensing data." Doctoral thesis, 2020. https://repositorium.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-202011243787.

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Our planet is traversing the age of human-induced climate change and biodiversity loss. Projected global warming of 1.5 ºC above pre-industrial levels and related greenhouse gas emission pathways will bring about detrimental and irreversible impacts on the interconnected natural and human ecosystem. A global warming of 2 ºC could further exacerbate the risks across the sectors of biodiversity, energy, food, and water. Time- and cost-effective solutions and strategies are required for strengthening humanity’s response to the present environmental and societal challenges. Coastal seascape ecosys

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23

Paluba, Daniel. "Korekce lokálního dopadového úhlu SAR dat pro analýzu časových řad: metoda specifická pro krajinný pokryv." Master's thesis, 2020. http://www.nusl.cz/ntk/nusl-435973.

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To ensure the highest possible temporal resolution of SAR data, it is necessary to use all the available acquisition orbits and paths of a selected area. This can be a challenge in a mountainous terrain, where the side-looking geometry of space-borne SAR satellites in combination with different slope and aspect angles of terrain can strongly affect the backscatter intensity. These errors/noises caused by terrain need to be eliminated. Although there have been methods described in the literature that address this problem, none of these methods is prepared for operable and easily accessible time

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24

Baker, Jack. "Caring for lhuq'us (pyropia spp.): mapping and remote sensing of Hul'qumi'num culturally important seaweeds in the Salish Sea." Thesis, 2020. http://hdl.handle.net/1828/12149.

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Hul’qumi’num communities on south eastern Vancouver Island have concerns about the status and safety of marine foods potentially impacted by environmental change and the urbanization and industrialization of their territories. Collaborative research undertaken with the Hul’q’umi’num’ Lands and Resources Society is part of a broader effort to revitalize cultural practices, language, and food systems. Lhuq’us (the Hul’q’umi’num’ language term for pohrpyra/pyropia spp. (commonly known as red laver or black gold)) is a flavourful and nutritious intertidal seaweed that grows on rocky beaches across

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