class: top, left, inverse, title-slide .title[ #
Global Methane Monitoring using Sentinel-5P Time Series
] .author[ ### Lampros Sp. Mouselimis ] .institute[ ###
Monopteryx
] .date[ ### 2023-01-03
monopteryx-dashboard/
mlampros.github.io/
] --- class:hide_logo # Potential Sources of Methane Emissions .pull-left[ <img src="images/livestock.jpg" width="60%" style="display: block; margin: auto;" /> <img src="images/energy_industry.jpg" width="60%" style="display: block; margin: auto;" /> <img src="images/landfills.jpg" width="60%" style="display: block; margin: auto;" /> ] .pull-right[ The main <b>causes of Methane Emissions</b> are - Agricultural (livestock, cultivation, etc.) - Energy and Industry (Natural gas and petroleum systems) - Waste Management (landfills) - Ice Melting in the Arctic (Global Warming) <br><br><br><br><br> <img src="images/ice_melting.jpg" width="35%" style="display: block; margin: auto auto auto 0;" /> ]
--- class:hide_logo # Copernicus Sentinel-5P Tropomi .pull-right[ <br><br> <img src="images/ESA_Sentinel 5P_infographic.png" width="110%" style="display: block; margin: auto;" /> **Source**: [sentinels.copernicus.eu](https://sentinels.copernicus.eu/web/sentinel/missions/sentinel-5p) **Credit**: This presentation contains modified *Copernicus Sentinel data 2019-2022* processed by *Monopteryx* ] .pull-left[ The *Copernicus Sentinel-5 Precursor* - is the first Copernicus mission dedicated to monitoring the atmosphere - its main objective is to perform atmospheric measurements with high spatio-temporal resolution, to be used for - air quality - ozone & UV radiation - climate monitoring - forecasting The mission consists of one satellite carrying the *TROPOspheric Monitoring Instrument (TROPOMI)* *Data Products* (to name a few): - Ozone (O3) - Nitrogen Dioxide (NO2) - Sulfur Dioxide (SO2) - Carbon Monoxide (CO) - Methane (CH4) - etc. ] --- # Quality Assured Methane Data - A Database of pre-processed (*Quality Assured*) global **Methane** (CH4) offline (OFFL) data from **2019-09-20** to **present** (more than 3 years of time-series) - The Database includes **Analysis ready data** in tabular format (*.csv*, *.xlsx*, *.zip*) and upon request any of the available Sentinel-5P Methane columns can be included, <img src="images/tabular_format.png" width="60%" style="display: block; margin: auto;" /> - Available Columns (tabular data): .pull-left[ - Date - Time - latitude - longitude ] .pull-right[ - methane_mixing_ratio_bias_corrected - methane_mixing_ratio_precision - cloud_fraction_VIIRS_SWIR_IFOV - aerosol_optical_thickness_NIR - surface_altitude ] <br> --- # Expertise & Data Accumulation .pull-left[ <img src="images/global_grid.png" width="80%" style="display: block; margin: auto;" /> <img src="images/water_bodies.png" width="50%" style="display: block; margin: auto;" /> <img src="images/r_packages_web.jpeg" width="60%" style="display: block; margin: auto;" /> ] .pull-right[ <br><br> - **Expertise** & **data accumulation** related to: - monitoring of specific sites based on a **fixed global grid** (spatial resolution) - combining of Methane values with **other datasets** to extract valuable information - developing of **web browser application prototypes** (with **R programming**) for demonstration purposes - forecasting based on the fixed-grid *time-series* (by including *Confidence Intervals*) using machine learning algorithms (*Time-Series Linear Models*, *Prophet*, *Ensemble Models*) <br> <img src="images/img_forecasting.png" width="75%" style="display: block; margin: auto auto auto 0;" /> ] --- class:hide_logo # Methane values globally * The following map highlights in **black color** the highest Methane values (**99.75** quantile based on the *time-series of the last 3 years*) <img src="images/quantile_99_75_methane_updated_pinta.png" width="100%" style="display: block; margin: auto;" /> --- # Ice Melting Methane values .pull-left[ | Location | Time-Series | | ------------- |:-------------------:| | **Greenland** | Jan.2021 - Oct.2022 | <br> * Time-series Plot **(a)** * Forecasting DataTables **(b)** * Land Cover Classes **(c)** * Forecast Line Plots **(d)** <br> <div class="figure" style="text-align: center"> <img src="images/ice_melting/icemelting_time_series.png" alt="<b>(a)<b/>" width="100%" /> <p class="caption"><b>(a)<b/></p> </div> <div class="figure" style="text-align: center"> <img src="images/ice_melting/icemelting_forecasting_tables.png" alt="<b>(b)<b/>" width="100%" /> <p class="caption"><b>(b)<b/></p> </div> ] .pull-right[ <div class="figure" style="text-align: center"> <img src="images/ice_melting/ice_melting_land_cover.png" alt="<b>(c)<b/>" width="70%" /> <p class="caption"><b>(c)<b/></p> </div> <div class="figure" style="text-align: center"> <img src="images/ice_melting/ice_melting_forecasts.png" alt="<b>(d)<b/>" width="70%" /> <p class="caption"><b>(d)<b/></p> </div> ] --- # Oil / Gas Methane values .pull-left[ | Location | Time-Series | | ------------- |:-------------------:| | **Turkmenistan** | Oct.2019 - Oct.2022 | <br> * Time-series Plot **(a)** * Forecasting DataTables **(b)** * Land Cover Classes **(c)** * Forecast Line Plots **(d)** <br> <div class="figure" style="text-align: center"> <img src="images/combustion_sources/combustion_sources_time_series.png" alt="<b>(a)<b/>" width="100%" /> <p class="caption"><b>(a)<b/></p> </div> <div class="figure" style="text-align: center"> <img src="images/combustion_sources/combustion_sources_forecasting_tables.png" alt="<b>(b)<b/>" width="100%" /> <p class="caption"><b>(b)<b/></p> </div> ] .pull-right[ <div class="figure" style="text-align: center"> <img src="images/combustion_sources/combustion_sources_land_cover.png" alt="<b>(c)<b/>" width="70%" /> <p class="caption"><b>(c)<b/></p> </div> <div class="figure" style="text-align: center"> <img src="images/combustion_sources/combustion_sources_forecasts.png" alt="<b>(d)<b/>" width="70%" /> <p class="caption"><b>(d)<b/></p> </div> ] --- # Agricultural Methane values .pull-left[ | Location | Time-Series | | ------------- |:-------------------:| | **India** | Oct.2020 - Dec.2022 | <br> * Time-series Plot **(a)** * Forecasting DataTables **(b)** * Land Cover Classes **(c)** * Forecast Line Plots **(d)** <br> <div class="figure" style="text-align: center"> <img src="images/agricultural/agricultural_time_series.png" alt="<b>(a)<b/>" width="100%" /> <p class="caption"><b>(a)<b/></p> </div> <div class="figure" style="text-align: center"> <img src="images/agricultural/agricultural_forecasting_tables.png" alt="<b>(b)<b/>" width="100%" /> <p class="caption"><b>(b)<b/></p> </div> ] .pull-right[ <div class="figure" style="text-align: center"> <img src="images/agricultural/agricultural_land_cover.png" alt="<b>(c)<b/>" width="70%" /> <p class="caption"><b>(c)<b/></p> </div> <div class="figure" style="text-align: center"> <img src="images/agricultural/agricultural_forecasts.png" alt="<b>(d)<b/>" width="70%" /> <p class="caption"><b>(d)<b/></p> </div> ] --- class:hide_logo # Shiny R programming Application Shiny application development depending on the user's requirements for usage in * Rstudio * Cloud instance (web browser) .pull-left[ <img src="images/shiny_app/simple_auth.png" width="80%" style="display: block; margin: auto;" /> ] .pull-right[ <img src="images/shiny_app/main_page.png" width="110%" style="display: block; margin: auto;" /> ] --- # Pricing The **Pricing** depends on the type of service offered: * For the following **R & Python programming related tasks** potential clients are charged **per hour** * **data & time-series processing** * **shiny application development** * **machine & deep learning** * For **Data requests** related to pre-processed **Methane** *Measurements* potential clients are charged based on * the **Number of requested Hexagons** where each Hexagon corresponds to a **spatial pixel** (Sentinel-5P Methane **spatial resolution**) * the **Number of requested Dates** for the **selected Hexagon(s)** <br /> [The Number of dates vary depending on the selected Area] * the **Methane values** [high vs. low Methane hexagons] Feel free to reach out and request a quote by filling out the [Inquiry Form](https://monopteryx.netlify.app/contact/) <br /> in the following weblink: [https://monopteryx.netlify.app/contact/](https://monopteryx.netlify.app/contact/)