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Criação da Equipa "Camarate sob Investigação" no Microsoft Teams.

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Trabalho de pesquisa sobre os gases e os satélites que iremos utilizar

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Apresentação e levantamento de questões sobre o projeto detectives do clima.

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Exploração do ES Browser

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EO Browser makes it possible to browse and compare full resolution images from all the data collections we provide. You simply go to your area of interest, select your desired time range and cloud coverage, and inspect the resulting data in the browser. Try out different visualizations or make your own, download high resolution images and create timelapses.

Sentinel Hub services are providing long-term analysis in an efficient way. We keep EO Browser, our showcase of Sentinel Hub functionality free to use, to make these features available to just about anyone. Some of the most exciting new EO Browser features are collected in our Medium blog posts from March 2020, July 2020, August 2021, February 2022 and August 2022.
Start Exploring!
Webinar Showcase Video User Guide Tutorials

Explore EO Data

EO Browser allows you to visualize satellite data from numerous satellites and data collections instantly. The process in the background takes care of the selection of appropriate scenes, download and processing of data, as well as mosaic creation. Browsing satellite data has never been so easy!

To make it even more exciting, we have prepared a special education mode of EO Browser, where you can explore 12 unique themes, with the selected locations of interest and chosen visualizations. This EO content is perfect for students and teachers or anyone interested to explore satellite data.

Custom Visualization

Satelite imagery in EO Browser can be visualized based on user's desired configuration. There are already several visualizations with legends and descriptions prepared for you, such as true color, false color, NDVI, EVI, etc.

By choosing Custom it is possible to choose any combination of bands and make a composite by simply drag and dropping the bands into the RGB channels. On the image below, Danakil Depression has been visualized using SWIR, RED and BLUE bands of Sentinel-2.

The index tool makes it possible to quickly create remote sensing indices and control the visualization, by drag and dropping bands into the equation.

Our custom script functionality is a powerful tool for visualizing satellite data. Using Javascript, you have full control over your visualization, allowing you to make computations, logical operators and conditions, data fusion, multitemporal scripting, etc. You could for example calculate the snow index and display only the pixels you calculated to be snow as blue, and return all the remaining pixels in natural color.

Data fusion makes it possible to combine satellite data collections in a single image, take advantage of each, and bring your scripting to a new level. In this example, you can see Sevastopol area, with cloudy pixels returned in Sentinel-1, which penetrates clouds, and the rest in Sentinel-2 true color. Read more about data fusion in our Medium blog post.

Additionally, you can modify your image by editing the strength of the three color channels, contrast (gain) and luminance (gamma) in the effects pannel.

To make your own visualizations, visit our custom scripts documentation to get started.

Pins and Image Comparison

EO Browser makes it possible for you to save your preffered locations and visualizations as pins, and allows you to share them with others. You can add descriptions to your pins as well, and share them via link, or via a JSON file by exporting it.

If you would like to compare satellite imagery of an area on different dates or from different data collections, you can do that by adding your pins to the compare pannel, and compare them using split or opacity sliders.

The comparison below displays the striking Aral sea water level reduction from 2005 (ENVISAT) to 2019 (Sentinel-2).

Pin Story Builder

You can quickly create a story of your pins of the same area in our pin story builder.

Below, we have created an example story of the California 2018 wildfires, displaying visualizations from different satellites to study the event. It includes gas concentrations from Sentinel-5P, thermal imagery from Landsat 8 and various visualizations of the fire and burned area from Sentinel-2.

Time-lapse

Time lapse functionality makes it possible for you to create gifs of changes through time. To make a timelapse, go to your area of interest, select your preffered data collection (e.g. Sentinel-2) and visualization setting (e.g. NDVI). Then click on the Create timelapse animation button on the right, where you can choose your time range and select your preffered data frequency. EO Browser will find all the available scenes for the area and present them as "frames".

You can then preview the time-lapse in the right part of the window. Note that the cloud coverage condition is applied on the full scene level (e.g. 100km x 100km), so there might still be some frames with too many clouds. Just uncheck anomalous frames on the left. Note also that timelapse functionality supports only 300 images at once, so if you need a longer time-frame, select for example a monthly data option.

Below you can see the example timelapse of Shanghai ship traffic, made with a Sentinel-1 custom composite visualization. You can observe the moving ships as time passes.

Read more about time-lapse updates in our Medium blog post.

Statistical Analysis

Outline the area and select the statistical info chart (buttons on the top right). Note that this works only for layers with one output component (e.g. indices, single band products, etc.).

Because of the clouds which get in the way and which distort the NDVI significantly (cloud NDVI values are low) - growth curve is not as orderly as one would have hoped for. Therefore, we have added a simple local area cloud detection algorithm based on the Braaten-Cohen-Yang method (this can be replaced with the L2A scene classification data or some other algorithm) and the result is much nicer. You can also check the numerical values of each point. Statistical information can be exported into a .csv file.

Have you ever wondered how many pixels in your area of interest have the specific value? Now you can find this out in EO Browser directly, by enabling the histogram feature on the right. This is especially useful when doing analysis or creating custom visualizations.

Custom Configurations

In EO Browser, you can display and explore your own configurations with your custom visualization layers, which you can create using our Sentinel Hub Dashboard. Below you can see our personal configuration with two commercial Pleiades data layers.

Image and Data Download

Any image you see on the EO Browser screen, can be downloaded in various file formats. You can download quick PNG or JPG image, selecting whether you want to keep the logo, legend or captions, you can download high resolution imagery, or TIFF data for further analysis, all for free.

3D Feature

View Earth observation imagery in 3D! Navigate and even fly through terrain effortlessly, and when done exploring, pin, share or download your visualization. Terrain Viewer has a series of useful tools; using vertical terrain scaling you can make flatter areas appear more dynamic, and you can even simulate the movement of the sun and its projected shadows at any time of day. Using various tools, one can manipulate the accuracy and strength of shadows, and even control the ambient, diffuse, and specular light factors of terrain. Check our blog post, to find out what you can do with it and see some cool examples.

Commercial Data

In EO Browser, you can search, order and visualize commercial high-resolution data all in one place! You can choose between Planet PlanetScope, Planet SkySat Archive, Airbus Pleiades, Airbus SPOT and Maxar WorldView data. They offer global daily data in high spatial resolution of 0.5 meters (Pleiades, SkySat Archive and WorldView), 1.5 meters (SPOT) and 3 meters (PlanetScope). See how easy it is in the following demonstration video and check the PDF tutorial for step by step instructions.

License

Non-commercial use and media: The use of EO Browser application is free of charge for non-commercial use and any use in media.

CC BY 4.0 license: Data exported from EO Browser can be used under CC BY 4.0 license. Please mention Sentinel Hub EO Browser along with the relevant data collection in the credits.

Subscribers of Sentinel Hub services can use the license based on the subscription package when it suits them.
In addition to the above the standard terms and licenses of specific data collections (e.g. Landsat, Copernicus, etc.) apply. See "Collection specific terms and conditions" section in Sentinel Hub Terms of Service.
Note that timelapse, high resolution image download, pin saving and sharing, story builder and distance measurments are only available if logged in. The registration is completely free.
Contact us if special license is required.

Open EO Browser Free sign up for all features

Read about EO Browser features and updates in our Medium blog posts:

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EO Browser makes it possible to browse and compare full resolution images from all the data collections we provide with Sentinel Hub.

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Desenvolvimento da investigação

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Evolução da concentração dos gases NO2 em Março 2019 e 2020.

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Evolução da concentração dos gases NO2 em Abril de 2019 e 2020, retirado do Sentinel 5p.

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Jovem Repórter João Vieira da turma 8ºA

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Reportagem elaborada pelo Jovem Repórter João Vieira da turma 8ºA da Escola Básica de Camarate

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Conclusões

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https://www.esero.pt/587/Detetives-do-Clima:-Webinar-ESERO-PT-%7C-12-Abril

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Entre 2019 e 2020 nos meses de Março e Abril. Retirado do Sentinel 5p.

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Compilação dos resultados das três turmas.

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Jovens Repórter Nádia Quaresma e Patrícia Cruz, 8ºE

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A reportagem pretende dar a conhecer o trabalho de investigação desenvolvido pelos alunos das tumas A, B e E do oitavo ano de escolaridade da Escola Básica de Camarate. O objetivo principal do trabalho de investigação foi tentar entender se houve alguma diferença na qualidade do ar durante o confinamento.

Durante este ano, nas aulas de Ciências Naturais e Físico-Química, participamos no projeto "Detetives do Clima - Camarate sob Investigação!", com o objetivo de avaliar a qualidade do ar durante o período de confinamento. Atendendo a que a nossa escola se encontra muito perto do aeroporto de Lisboa e durante a Pandemia sentimos que a circulação de aviões era muito menor, tentamos entender se houve alguma relação entre a qualidade do ar envolvente durante o confinamento.

Com a ajuda da European Space Agency (ESA) observámos imagens de vários satélites, em especial do satélite Sentinel-5 Precursor, que facilitou a pesquisa e proporcionou esta reportagem. Recorremos à aplicação EO Browser, para recolher as seguintes imagens e criar um timelapse, que permitiu reproduzir as emissões de gases poluentes, tais como, NO ₂, durante os meses de março e abril de 2019 e 2020 na zona de Camarate.

As conclusões são que durante o confinamento (mês de março e abril de 2020) houve uma diminuição das emissões de gases, em particular de Dióxido de Nitrogénio (NO ₂), quando comparamos com o mesmo período no ano anterior (2019).

O gif é a evolução da concentração de NO ₂ nos meses de março e abril de 2019 e 2020.

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Qualidade do ar em Camarate durante o confinamento

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A reportagem pretende dar a conhecer o trabalho de investigação desenvolvido pelos alunos das tumas A, B e E do oitavo ano de escolaridade da Escola Básica de Camarate. O objetivo principal do trabalho de investigação foi tentar entender se houve alguma diferença na qualidade do ar durante o confinamento.

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Apresentação Internacional dos Projetos