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Yépez, Figueroa Santiago Paul. "Etude intégrée de la dynamique des flux hydrosédimentaires dans le bas cours du fleuve Orénoque (Venezuela) par mesures in-situ et télédétection." Thesis, Toulouse 3, 2018. http://www.theses.fr/2018TOU30167/document.

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L'objectif principal de cette thèse est d'étudier la dynamique des flux hydrosédimentaires dans le bas cours de l'Orénoque à partir de la mise en œuvre de diverses techniques qui combinent directement la mesure des données in situ et la modélisation par séries chronologiques d'images satellites. Cette thèse aborde pour la première fois trois méthodologies complémentaires pour analyser les flux hydrosédimentaires dans les grands fleuves : (i) un algorithme d'inversion robuste pour l'estimation de MES à l'aide de données Landsat-8(OLI)permet de suivre de façon systématique et fiable les variatio
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Cavonius, Johansson Hanna, and Jens Henriksson. "Skattning av skogliga variabler genom satellitbilder från Sentinel 2 : Estimation of forest variables using satellite images from Sentinel 2." Thesis, Linnéuniversitetet, Institutionen för skog och träteknik (SOT), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-94004.

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Stora arealer skog behöver övervakas. Att göra detta på ett kostnadseffektivt sätt är något som skogssektorn efterfrågar. Syftet med studien var att undersöka möjligheten att skatta skogliga variabler med satellitbilder från Sentinel 2. Korrelationen mellan granskogens uppmätta reflektans i satellitbilder från Sentinel 2 och uppmätta variablerna i fält har beräknats och analyserats. Resultatet visar att styrkan i korrelation skiljer sig mellan olika rumsliga upplösningar, vilken tid på året satellitbilderna är tagna, vilka spektrala band och vegetationsindex som används samt vilka skogliga var
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Gottardi, Beatrice. "Automatic methods for crop classification by merging satellite radar (sentinel 1) and optical (sentinel 2) . data and artificial intelligence analysis." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/20635/.

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Land use and land cover maps can support our understanding of coupled human- environment systems and provide important information for environmental modelling and water resource management. Satellite data are a valuable source for land use and land cover mapping. However, cloud-free or weather independent data are necessary to map cloud-prone regions. Merging radar with optical images would increase the accuracy of the study. Agricultural land cover is characterized by strong variations within relatively short time intervals. These dynamics are challenging for land cover classifications on th
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Pineda, Ancco Ferdinand Edgardo. "A generative adversarial network approach for super resolution of sentinel-2 satellite images." Master's thesis, Pontificia Universidad Católica del Perú, 2020. http://hdl.handle.net/20.500.12404/16137.

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Recently, satellites in operation offering very high-resolution (VHR) images has experienced an important increase, but they remain as a smaller proportion against existing lower resolution (HR) satellites. Our work proposes an alternative to improve the spatial resolution of HR images obtained by Sentinel-2 satellite by using the VHR images from PeruSat1, a Peruvian satellite, which serve as the reference for the superresolution approach implementation based on a Generative Adversarial Network (GAN) model, as an alternative for obtaining VHR images. The VHR PeruSat-1 image dataset is u
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Erik, Graff. "Agriculture monitoring using satellite data." Thesis, Luleå tekniska universitet, Rymdteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-85112.

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As technology advances, the possibility of using satellite data and observations to aid inagricultural activities comes closer to reality. Swedish farmers can apply for subsidies for their land in which crop management and animal grazing occurs, and every year thousands of manual follow-up checks are conducted by Svenska Jordbruksverket (Swedish Board of Agriculture) to validate the farmers’ claims to financial aid. RISE (Research Institutes of Sweden) is currently researching a replacement for the manual follow-up checks using an automated process with optical satellite observations from prim
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Sangiorgi, Nicola <1991&gt. "Use of Sentinel-2 satellite imagery for forest site evaluation and forest harvesting detection." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amsdottorato.unibo.it/9437/1/Tesi_dottorato_Nicola_Sangiorgi_reviewed.pdf.

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The access to Earth Observation data leaded researcher to a different point of view in the forest sector. Immediately tropical forest deforestation drawn the majority of interests (Perbet et al., 2019; Tang et al., 2019; Shimizu et al., 2017; Asner et al., 2009), heading to the development of many different tools for tropical forest monitoring. This study was focused on the application of satellite remote sensing data (derived from Sentinel-2) to two cardinal aspect for Italian forest. Since wood production plays a key role in developing a rural economy and stimulating the use of sustainable
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Portela, De Araujo Bernacke Samir. "principi di funzionamento del tropospheric monitoring instrument – sentinel-5p tropomi." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/23034/.

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In questo elaborato vengono descritti brevemente i mezzi utilizzati per costruire Sentinel-5P e per il suo corretto posizionamento in orbita, le tecnologie impiegate per il mantenimento delle telecomunicazioni fra la sonda e le basi a terra e, infine, viene fatta una descrizione più accurata dello strumento principale di bordo: TROPOMI, che si occupa della scansione dei gas terrestri, sfruttando diverse bande dello spettro elettromagnetico.
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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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Cazals, Cécile. "Apport des données Sentinel-1 pour la cartographie des milieux humides." Thesis, Paris Est, 2017. http://www.theses.fr/2017PESC1226/document.

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Les milieux humides sont menacés par le changement climatique et l'anthropisation des milieux naturels. La télédétection est un moyen efficace de suivre des variables environnementales sur de grands espaces. Cependant, lorsqu’il s’agit de l’étude de la dynamique hydrologique, une résolution temporelle importante est indispensable. Or celle-ci est difficilement accessible par l'imagerie optique satellitaire du fait de l’important couvert nuageux qui masque le sol. Les capteurs radars, travaillant dans le domaine des micro-ondes, sont tout particulièrement adaptés à la caractérisation des dynami
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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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CIRCELLI, Luana. "Integration Vis-NIR spectroscopy and satellite Sentinel-2 data to assess soil organic carbon pool of an organic farm in south of Italy." Doctoral thesis, Università degli studi del Molise, 2021. http://hdl.handle.net/11695/106279.

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Il suolo svolge un ruolo importante nel ciclo globale del carbonio e l’equilibrio tra i tassi di input e output determina su larga scala la quantità e il turnover del carbonio organico del suolo (SOC). Pertanto, il suolo può fungere sia da deposito di carbonio che da fornitore di emissioni dello stesso aumentando i gas serra atmosferici (GHGs), con un grande potenziale nella mitigazione dei cambiamenti climatici. I cambiamenti nell’uso del suolo sono quelli particolarmente coinvolti nell’accumulo di SOC e nella perdita di anidride carbonica (CO2) nell’atmosfera sotto forma di GHGs. A tal fine,
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Piragnolo, Marco. "Geomatics as support to remote sensing data analysis from UAV technology using GIS open source platforms." Doctoral thesis, Università degli studi di Padova, 2018. http://hdl.handle.net/11577/3426840.

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The recent years saw a growing usage of remote sensing platforms, such as satellites and unmanned aircraft vehicles (UAVs). The Copernicus observation programme is an example of a new satellite constellation improving and promoting easy free access dataset, timely updated. The high popularity of UAVs is related to the obtaining high-resolution data, quickly at a relatively low cost. As result, sensors with high spatial and temporal resolution produce a great number of data, and these data increase exponentially. Consequently, the software for image processing play a key role in the diffusion o
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Shu, Song. "Satellite Radar and Laser Altimetry for Monitoring of Lake Water Level and Snow Accumulation in Arctic Regions." University of Cincinnati / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1561394321584998.

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Skogsmo, Markus. "A Scalable Approach for Detecting Dumpsites using Automatic Target Recognition with Feature Selection and SVM through Satellite Imagery." Thesis, Uppsala universitet, Avdelningen för visuell information och interaktion, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-418792.

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Throughout the world, there is a great demand to map out the increasing environmental changes and life habitats on Earth. The vast majority of Earth Observations today, are collected using satellites. The Global Watch Center (GWC) initiative was started with the purpose of producing a global situational awareness of the premises for all life on Earth. By collecting, studying and analyzing vast amounts of data in an automatic, scalable and transparent way, the GWC aims are to work towards reaching the United Nations (UN) Sustainable Development Goals (SDG). The GWC vision is to make use of qual
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Rodes, Arnau Isabel. "Estimation de l'occupation des sols à grande échelle pour l'exploitation d'images d'observation de la Terre à hautes résolutions spatiale, spectrale et temporelle." Thesis, Toulouse 3, 2016. http://www.theses.fr/2016TOU30375/document.

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Les missions spatiales d'observation de la Terre de nouvelle génération telles que Sentinel-2 (préparé par l'Agence Spatiale Européenne ESA dans le cadre du programme Copernicus, auparavant appelé Global Monitoring for Environment and Security ou GMES) ou Venµs, conjointement développé par l'Agence Spatiale Française (Centre National d 'Études Spatiales CNES) et l'Agence Spatiale Israélienne (ISA), vont révolutionner la surveillance de l'environnement d' aujourd'hui avec le rendement de volumes inédits de données en termes de richesse spectrale, de revisite temporelle et de résolution spatiale
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Jiang, Jingyi. "Retrieving leaf and canopy characteristics from their radiative properties using physically based models : from laboratory to satellite observations Estimation of leaf traits from reflectance measurements: comparison between methods based on vegetation indices and several versions of the PROSPECT model a model of leaf optical properties accounting for the differences between upper and lower faces Speeding up 3D radiative transfer simulations: a physically based approximation of canopy reflectance dependency on wavelength, leaf biochemical composition and soil reflectance Effective GAI for crops is best estimated from reflectance observations as compared to GAI and LAI Optimal learning for GAI and chlorophyll estimation from 1D and 3D radiative transfer model inversion: the case of wheat and maize crops observed by Sentinel2." Thesis, Avignon, 2019. http://www.theses.fr/2019AVIG0708.

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La mesure des caractéristiques des feuilles et du couvert végétal par télédétection est un moyen efficace et non destructif d’effectuer un suivi des cultures, que ce soit pour la prise de décision dans la gestion d’itinéraires techniques an agriculture de précision ou pour le phénotypage au champ pour améliorer l'efficacité de la sélection variétale. Grâce à l’augmentation de la puissance de calcul des machines et à la disponibilité croissante d'images à haute résolution spatiale, les méthodes d’estimation peuvent maintenant bénéficier de simulations plus précises des modèles de transfert radi
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PAMPANONI, VALERIO. "A scalable fire danger index based on sentinel imagery." Doctoral thesis, 2023. https://hdl.handle.net/11573/1666953.

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The incidence of wildfires and megafires and their disastrous consequences is increasing all over the planet. According to the latest European Forest Fire Information System annual fire report, in 2021 alone wildfires burned a surface area more than twice the size of Luxembourg, including more than a thousand square kilometres of Natura 2000 protected areas. In addition, 2022 has registered the highest number of wildfires since 2006, and will also be recorded as one of the driest years on record. Assuming that the most efficient and cost-effective way limit the damage caused by wildfires consi
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"Semi-automatic landslide detection using sentinel-2 imagery: case study in the Añasco River watershed, Puerto Rico." Tulane University, 2019.

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Müterthies, A., K. Pakzad, C. Yang, et al. "Praxisbezogene Erfahrungen bei der Auswertung und Analyse von Radar-Daten der Sentinel-Satelliten unter besonderer Berücksichtigung der Monitoring-Aufgaben im Alt- und Nachbergbau." 2019. https://tubaf.qucosa.de/id/qucosa%3A34490.

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Mit dem Europäischen Erdbeobachtungsprogramm 'Copernicus' und seinen Sentinel-Satelliten sowie den beteiligten Missionen steht ein leistungsfähiges Monitoringinstrument zur Verfügung. Das Programm, dessen Umfang fortlaufend erweitert wird, ist auf eine langfristige Nutzung ausgerichtet. Die Daten der satellitengestützten Sensoren besitzen eine hohe zeitliche und räumliche Auflösung und sind kostenfrei verfügbar. Für die Überwachung von Bodenbewegungen und Bodenwassergehalten können die Radar- Daten der beiden Sentinel 1-Satelliten genutzt werden. Die Multispektralsensoren der Sentinel 2-Satell
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Ayo, Brenda. "Integrating openstreetmap data and sentinel-2 Imagery for classifying and monitoring informal settlements." Master's thesis, 2020. http://hdl.handle.net/10362/93641.

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Dissertation submitted in partial fulfilment of the requirements for the degree of Master of Science in Geospatial Technologies<br>The identification and monitoring of informal settlements in urban areas is an important step in developing and implementing pro-poor urban policies. Understanding when, where and who lives inside informal settlements is critical to efforts to improve their resilience. This study aims at integrating OSM data and sentinel-2 imagery for classifying and monitoring the growth of informal settlements methods to map informal areas in Kampala (Uganda) and Dar es Sala
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NOVELLI, Antonio. "Improved pre-processing techniques to enhance the accuracy of extracted information from passive satellite data." Doctoral thesis, 2017. http://hdl.handle.net/11589/100176.

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L’obbiettivo di questa tesi è il miglioramento della fase di pre-propcessing per dati satellitari telerilevati passivi. I miglioramenti proposti sono stati in primis rivolti ad una singola classe di copertura del territorio e, in seguito, alla generale correzione radiometrica relativa di dati satellitari multispettrali passivi. Il primo dei due grandi capitoli è connesso alla problematica dell’estrazione coperture plastiche in ambito agricolo e allo sviluppo di nuove procedure e strumenti che hanno dimostrato la loro efficacia ottenendo elevate ac-curatezze nei risultati. Sebbene i risultati o
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Feng, Leon Gaw Yan. "Unmanned aerial systems in remotely sensed biomass estimates : how they improve the quality of existing satellite based approaches." Master's thesis, 2018. http://hdl.handle.net/10362/33792.

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Dissertation submitted in partial fulfilment of the requirements for the degree of Master of Science in Geospatial Technologies<br>Forests of the world provide an important ecosystem service in the fight against climate change by sequestering carbon from the atmosphere and storing them as biomass. However, cloud cover and terrain inaccessibility hamper studies of forest biomass using satellites, especially in the dense jungles of the tropics. This study investigated the use of UAS to complement existing satellite based approaches by exploring what information can be derived from UAS sensors an
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Silva, Nuno Alexandre Pereira da. "Using LUCAS survey and Recurrent Neural Networks to produce LCLU classification based on a Satellite Image time series of Sentinel-2." Master's thesis, 2021. http://hdl.handle.net/10362/122980.

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Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence<br>The need of timely and accurate information for the territory has increased over the years, making Land Cover Land Use (LCLU) mapping one of the most common application of remote sensing. Recently, the advances in satellite technology and the open access policies for remote sensing data increased the interest in exploring satellite image time series. In addition, the attention of researchers has shifted from standar
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Filippucci, Paolo. "High-resolution remote sensing for rainfall and river discharge estimation." Doctoral thesis, 2022. http://hdl.handle.net/2158/1275871.

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The European Union's Earth Observation program, Copernicus, aims to create a vast amounts of global data from satellites and ground-based, airborne and seaborne measurement systems with the goal of providing information to help service providers, public authorities, and other international organizations improve European citizens' quality of life. With the aim of reaching this goal, a new family of missions called Sentinels has been developed by the European Spatial Agency, ESA, specifically for the operational needs of the program. These missions carry a range of cutting-edge technologies, suc
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Klímová, Tereza. "Určení výskytu sněhových lavin z družicových dat pořízených radarem se syntetickou aperturou (SAR)." Master's thesis, 2019. http://www.nusl.cz/ntk/nusl-405425.

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DETECTION OF SNOW AVALANCHE DEBRIS FROM SATELLITE SYNTHETIC APERTURE RADAR (SAR) DATA Abstract This thesis engages with detection of snow avalanche debris at radar images taken with synthetic aperture radar on Sentinel-1 satellite. The aim is to find method for recognizing places at image where is the snow avalanche debris. A method is based on neural net principle, specifically on using pre-trained model of neural net VGG-19. According to results of neural net, training images are splitted into two cathegories: there is an avalanche and there is not. It is called binary classification. The re
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Kuthan, Tomáš. "Klasifikace vybraných zemědělských plodin v modelovém území Kutnohorska s využitím časové řady dat Sentinel-2 a PlanetScope." Master's thesis, 2019. http://www.nusl.cz/ntk/nusl-392614.

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Classification of selected agricultural crops from time series of Sentinel-2 and PlanetScope imagery in Kutnohorsko model area Abstract The thesis is focused on the analysis of spectral characteristics of selected agricultural crops druring agriculutural season from time series of Sentinel -2 (A and B) and PlanetScope sensors in the model area situated around the settlements of Kolín and Kutná Hora. It is based on the assumption that the use of multiple dates of image data acquired crops in different phenological phases of the crops allows better identification of crop species (Lu et al., 2004
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Silva, Fábio Miguel Domingues da. "LULC Map Comparison: Comparison and validation of land use land cover maps derived from satellite imagery." Master's thesis, 2022. http://hdl.handle.net/10362/134517.

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Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies<br>The technological evolution of remote sensing techniques has allowed for the ever-growing creation of land use land cover maps. Nowadays mapping entities from all around the globe are capable of producing their own products, be it for their region or country, or for a whole continent or even the whole world. However, this raises an issue regarding the comparison of these maps, in one sense direct comparison is difficult due to the lack of harmonization of the data,
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Jesus, Ismael José Fervença de. "Metodologias Automáticas para Criação de Dados de Treino a Partir da COS 2015, UA 2012 e OSM." Master's thesis, 2020. http://hdl.handle.net/10316/92222.

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Dissertação de Mestrado em Engenharia de Informação Geoespacial apresentada à Faculdade de Ciências e Tecnologia<br>Os mapas de uso e cobertura do solo (MUCS) permitem conhecer o território e geri-lo da melhor forma possível. Com o avanço das tecnologias, pretende-se criar estes mapas de forma rápida, mantendo-os atualizados. Assim, é necessário automatizar todo o seu processo de produção. Uma das fases a automatizar é a criação de dados de treino para a classificação de imagens de satélite, nomeadamente as imagens do Sentinel-2. Nesta dissertação são abordadas metodologias de criação de dados
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Belo, João Ricardo Moreira de Freitas. "Using satellite imagery to identify foraging habitats for shorebirds and model their distribution in the mudflats of the Bijagós archipelago, Guinea-Bissau." Master's thesis, 2019. http://hdl.handle.net/10451/40196.

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Tese de mestrado, Biologia da Conservação, Universidade de Lisboa, Faculdade de Ciências, 2019<br>As áreas intertidais situam-se na interface entre os ambientes marinhos e terrestres. Estas são áreas que estão expostas ao ar durante o período de baixa-mar e submersas pela água do mar durante o período de preia-mar. Como tal, estas áreas estão sujeitas a flutuações ambientais extremas e os organismos que aí habitam têm de ser capazes de tolerar estas variações (a salinidade elevada, o tempo de exposição ao ar e o de imersão no mar, por exemplo). Como as tolerâncias dos diferentes organismos são
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