In this page, you will find tutorials developed by the community related to GEONETCast-Americas and the usage of its content.
Satellite / NWP Data Processing
- Python programming for acquisition, visualization and processing of GOES-16 imagery: Pre-course
- Python programming for acquisition, visualization and processing of GOES-16 imagery: COLAB
- Python programming for acquisition, visualization and processing of GOES-16 imagery: Slides
- Python programming for acquisition, visualization and processing of GOES-16 imagery: Recording
- VLAB: Entrenamiento Virtual en Aplicaciones de Satélites para la AR-III de la OMM (Ejecutando Scripts Python Localmente)
- VLAB: Entrenamiento Virtual en Aplicaciones de Satélites para la AR-III de la OMM (Google Colab)
- VLAB: Entrenamiento Virtual en Aplicaciones de Satélites para la AR-III de la OMM (Slides)
- Python programming for acquisition, visualization and processing of Numerical Weather Prediction Models (NWP) (Pre-course / COLAB / Slides / Recording)
- Presentations from the WMO RA-III Virtual Training on Satellite Applications Workshop (GEONETCast / Python)
- Part I: Extracting Values and Basic Plotting
- Part II: Basemaps, Grids, Legend and Exporting the Result
- Part III: Getting information from the file name and header
- Part IV: Adding a background, changing transparency and adding a land / sea mask
- Part V: Adding Shapefiles and using CPT color tables
- Part VI: Reprojection, Subsecting, Resolution and Julian Day Conversion
- Part VII: Better Look, K to °C, Add Logos and Export to GeoTIFF
- Part VIII: Reprojecting CONUS, Mesoscales and NetCDF’s in other domains
- Part IX: Full Resolution Plots and Removing Image Borders
- Part X: How to automate the generation of products
- Part XI: Making georeferenced plots to open them in a GIS
- VLAB: Processamento de Dados de Satélites Geoestacionários [Pré-Curso – Brasil]
- RA-IV Satellite Workshop: Introducción al Procesamiento de Imágenes Satelitales con Python [Pre-Taller – RA-IV Training]
- Python + Satellite Imagery Quickstart [Barbados Training]
- Introducción al Procesamiento de Imágenes Satelitales con Python [AmeriGEO Week]
- GOES-R And Python Subplots
- GOES-16 + GOES-17 Plot With Cartopy
- Plot 0.5 km GOES-R Full Disk Regions
- [Video] Introducción al Procesamiento de Imágenes Satelitales con Python – MARN El Salvador [Spanish]
- VLab Hands-On Activity: Introduction to Satellite Data Reception and Processing [Portuguese]
- Learning Folium With Fire!
- Converting L1b Radiances to BT’s and Reflectances
- GEONETClass: Accessing GRB Data From Unidata THREDDS With Python (Part I)
- GEONETClass: Downloading Data From Amazon AWS With Python and Rclone (Part I)
- GEONETClass: Downloading Data From Amazon AWS With Python and Rclone (Part III)
- GEONETClass: Downloading Data From Amazon AWS With Python and Rclone (Part II)
- Processing Sentinel-2 Data With Python
- Processing Sentinel-3 Data With Python
- Python Script For NUCAPS Soundings
- Python Scripts: Flood Map Products
- GEONETCode: Python Code Examples for GNC-A (March 26, 2019)
- GEONETCode: Python Code Examples for GNC-A [PNG’s] (October 25, 2019)
- The Journey to Create a Nice Image Using Only Bands 02 and 13 from GNC-A
- Journey to Create a Nice Image Using Only Bands 02 and 13 from GNC-A [2]
- Journey to Create a Nice Image Using Only Bands 02 and 13 from GNC-A [3]
- Journey to Create a Nice Image Using Only Bands 02 and 13 from GNC-A [4]
- A Nice GOES-16 Composite Made With Python
- A Nice GOES-16 Composite Made With Python [2]
- Python and GOES-16 RGB’s (Tutorials Coming Soon)
- GLM: A Python Script (in the end of the blog post)
- Superimpose GOES-16 L2 Products: A Python Script
- GOES-R Level 2 Products: A Python Script
- Derived Motion Winds: A Python Script
- Optimized Python Script for JPSS Bands
- Blended TPW and TPW Anomaly Products: A Python Script
- Manipulating fire / hotspots SHAPEFILES with Python
- Manipulating SST NetCDF’s with Python
- Manipulating NPP GeoTIFF’s with Python
- Day Night Band: A Python Script
- JPSS, GEONETCast And Python
- Python Script Example to Manipulate GOES-16 NetCDF’s Provided By INPE Via FTP
- Python and GFS Part I: Reading GRIB2 files and making a basic plot
- Python and GFS Part II: Selecting a region to visualize and creating contour / filled contour plots
- Coming soon: Pytroll Tutorial! (script at the end of the post!)
- GEONETClass: Manipulating MSG HRIT Data With Pytroll – Part I
- Hurricane Aletta – Python Examples
- Handy NumPy fuction to calculate NDVI
- True Color RGB on GNC-A: a nice “Workaround” (or “Gambiarra”, in Portuguese)
- True Color
- True Color [2]
- True Color [3]
- Mosaicing and Subsecting RGB’s Sectors From GNC-A
- All Python Plots From The Blog In a Single Gallery (or “Hundreds of Reasons To Learn Python”)
- Python Script Examples to Generate GOES-16 / 17 RGB’s: Part I
- Python Script Examples to Generate GOES-16 / 17 RGB’s: Part II
- Python Script Examples to Generate GOES-16 / 17 RGB’s: Part III
- Reading MODIS / TERRA HDF Files with PyHDF
- Cropping GOES-16 Derived Stability Indices
- Custom Color Enhancement For GOES-16 Imagery
- Reprojection to Mercator (EPSG:3857)
- Python Package to Download and Manipulate GOES-16/17 Data [Joao Huamán]
- SST Anomaly NetCDF’s Available on GNC-A + Python Script Example
- Using Conda Environments With Jupyter Notebooks
- SST, SST Anomaly, SST Trend NetCDF’s Available on GNC-A + Python Script Examples
- Ocean Color NetCDF’s Available on GNC-A + Python Script Example
- Checking the GOES-R File Latencies
- Downloading GOES-16 Animations With DSAT-cli (developed by INPE)
- Python Script to Calculate GOES-16 Lat / Lon Coordinates
- SHOWCast: Simple Visualization for GEONETCast-Americas
- [Español] SHOWCast: Visualización Simple Para GEONETCast-Americas
- New SHOWCast Release: v1.1.0
- New SHOWCast Release: v1.2.0
- New SHOWCast Release: v1.3.0
- New SHOWCast Release: v1.4.0
- New SHOWCast Release: v2.0.0
- New SHOWCast Release: v2.1.0
- New SHOWCast Release: v2.2.0
- New SHOWCast Release: v2.2.1
- New SHOWCast Release: v2.3.0
- New SHOWCast Release: v2.4.0
- New SHOWCast Release: v2.5.0
- New SHOWCast Release: v2.5.1
- SHOWCast: Customization Example
- SHOWCast Multiple Windows
- Testing SHOWCast v 1.2.0 with EUMETCast 15 min Data
- SHOWCast: Christian Peters
- SHOWCast: Classroom Show [IPMet]
- SHOWCast: MARN – El Salvador
- SHOWCast: Peruvian Air Force
- SHOWCast: Uruguayan Air Force
- Web Interface Based on SHOWCast (Paraguay)
- Nice SHOWCast Hack! (INMET)
- SHOWCast: Visualization on Google Earth (INMET)
- Another SHOWCast Hack! (MARN)
- SHOWCast 2.0 To Be Released Next Week
- Blended Rain Rate on SHOWCast 2.0
- Automatic Data Download From the Cloud Coming to SHOWCast v 2.1
- GRB Data From UNIDATA THREDDS To Be Added To SHOWCast Cloud
- “SHOWCastGR” – A Contribution from Greece
- “SHOWCast.GR”: A Contribution From Greece [print screens]
- SHOWCast.GR v1.1 Available For Download
- VLab Hands-On Activity: Introduction to Satellite Data Reception and Processing [Portuguese]
- SHOWCast 2.2.1 Screenshots
- GFS Processing / Visualization Being Added to SHOWCast
- GFS Processing / Visualization Being Added to SHOWCast [2]
- NWS ISCS (International Services and Communication Systems) being added to SHOWCast
- JPSS TOAST Product Activation and SHOWCast Visualization
- Homebrew GOES-16 HRIT/EMWIN Receive Station For Less Than $200
- GEONETCast-Americas Product Manipulation using GDAL and GMT
- GEONETClass: Manipulating GOES-16 Data With “R” – A Contribution From UNALM
- Script to Download GOES-16 NetCDF’s from Amazon S3
- Great Web Interface to Download GOES-16 NetCDF’s from Amazon S3
- GOES-16 Product Manipulation using Free Software Tools
- GEONETCast-Americas Product Manipulation using ILWIS
- GEONETCast-Americas GeoTIFF Manipulation using McIDAS-V
Old Version of this page
- Part 1: Extracting Values and Basic Plotting
- Part 2: Basemaps, Grids, Legend and Exporting the Result
- Part 3: Getting information from the file name and header
- Part 4: Adding a background, changing transparency and adding a land / sea mask
- Part 5: Adding Shapefiles and using CPT color tables
- Part 6: Reprojection, Subsecting, Resolution and Julian Day Conversion
- Part 7: Better Look, K to °C, Add Logos and Export to GeoTIFF
- Part 8: Reprojecting CONUS, Mesoscales and NetCDF’s in other domains
- Part 9: Full Resolution Plots and Removing Image Borders
- Part 10: How to automate the generation of products
- Part 11: Making georeferenced plots to open them in a GIS,
General Python Examples for GNC-A Products-
- GLM: A Python Script (in the end of the blog post)
- Superimpose GOES-16 L2 Products: A Python Script
- GOES-R Level 2 Products: A Python Script
- Derived Motion Winds: A Python Script
- Optimized Python Script for JPSS Bands
- Day Night Band: A Python Script
- Blended TPW and TPW Anomaly Products: A Python Script
- JPSS, GEONETCast And Python
- Python Script Example to Manipulate GOES-16 NetCDF’s Provided By INPE Via FTP
- Manipulating fire / hotspots SHAPEFILES with Python
- Manipulating SST NetCDF’s with Python
- Manipulating NPP GeoTIFF’s with Python
-GFS GRIB2 / Python Tutorial Series-
- Part 1: Reading GRIB2 files and making a basic plot
- Part 2: Selecting a region to visualize and creating contour / filled contour plots
-Pytroll Tutorial Series-
- Part 1: Reading GRIB2 files and making a basic plot
- Part 2: Selecting a region to visualize and creating contour / filled contour plots
-“R” Language Tutorial-
- GEONETClass: Manipulating GOES-16 Data With “R” – A Contribution From UNALM: Link
-General Scripting-
-GDAL Tutorial Series-
GEONETCast-Americas Product Manipulation using GDAL and GMT [pdf, Spanish]
GEONETCast-Americas Product Manipulation using GDAL and GMT [ppt, Spanish]
Miscellaneous
GEONETCast-Americas Product Manipulation using ILWIS [pdf, Spanish]
GEONETCast-Americas GeoTIFF Manipulation using McIDAS-V [pdf, English]
GNC-A Accumulated Precipitation Product from INPE and IMERG Monthly Data Manipulation using McIDAS-V [pdf, English]
GNC-A NDVI Product from INPE (VIIRS) and NDVI AVHRR Data Manipulation using McIDAS-V [pdf, English]
McIDAS-V for Analysis and Visualization of EUMETCast Data [pdf, English]
You may use the procedures from this tutorial in order to visualize the SEVIRI HRIT data in the GEONETCast-Americas broadcast (“MSG-0degree/IMG-3h” folder).