New date: Oct 4. How to reproject, clip and interactively plot HDFs with Python and GDAL

Large amount of spatial data is indexed and delivered through files in Hierarchical Data Format (HDF). These files are compatible with desktop GIS software as QGIS but they are not so easy to open/read/process with standard Python libraries as Rasterio, or with dedicated libraries. On our research we found the spatial functionality on the powerful GDAL binaries and library for Python.  We have done an applied case for the download, reproject (to WGS84) and clip to the area of interest of several MYD16A2 actual evapotranspiration images. We have also create an interactive visualization of the clipped images that allow us to examine the precipitation trends and the challenges in the use of these data products.

Instructor / Instructor:

Saul Montoya M.Sc

Hydrogeologist - Numerical Modeler

Mr. Montoya is a Civil Engineer graduated from the Catholic University in Lima with postgraduate studies in Management and Engineering of Water Resources (WAREM Program) from Stuttgart University – Germany with mention in Groundwater Engineering and Hydroinformatics. Mr Montoya has a strong analytical capacity for the interpretation, conceptualization and modeling of the surface and underground water cycle and their interaction. He is in charge of numerical modeling for contaminant transport and remediation systems of contaminated sites. Inside his hydrological and hydrogeological investigations Mr. Montoya has developed an holistic comprehension of the water cycle, understanding and quantifying the main hydrological dynamic process of precipitation, runoff, evaporation and recharge to the groundwater system.

Language / Lenguaje:

English

Event date / Fecha del evento:

Wednesday, Oct 4, 2023 6:00 p.m. Amsterdam Time

Hosted by / Organizado por:

Hatarilabs

Stream link / Enlace de transmisión:

https://meet.google.com/dbi-eqbp-rjr

Input data / Datos de entrada:

https://owncloud.hatarilabs.com/s/441caddEYlDMFE2

Additional instructions / Instrucciones adicionales:

Password to download data: Hatarilabs. For this webinar you need: 1. Windows Subsytem for Linux (WSL) in your computer: On Powershell please check: wsl --status If you dont have it installed please type: wsl --install 2. An account in NASA earthdata: urs.earthdata.nasa.gov/users/new