Workshops

2025, Virtual and in Maryland, U.S.A.

SEEDS: Satellite-Enabled Earth Observation and Digital Solutions for Agriculture

The SEEDS program is a one-year, structured capacity-building initiative designed to bridge the gap between Earth Observation (EO) science and real-world agricultural applications. As agricultural systems face increasing challenges from climate change and food insecurity, the integration of satellite data, AI-driven analytics, and machine learning into agricultural decision-making has become crucial. SEEDS responds to this need by training a new generation of digital agriculture practitioners, including researchers, government agencies, private sector actors, agronomists, and early-career scientists.

There are three workshops to be held, starting in 2025:

April 14, 2025 in Helena, MT, U.S.A.

Working with Gridded Climate
Data in Python

In this workshop, based in the Python programming language, we introduce participants to NASA’s free-to-use climate datasets, demonstrating how to search for, access, and manipulate satellite-based and modeled data on air temperature, precipitation, soil moisture, and humidity, among many potential climate variables. Participants will be introduced to hierarchical data formats, including HDF5 and netCDF4, along with the xarray library in Python. Our workshop offers hands-on experience with subsetting, resampling, and visualizing spatial data cubes: gridded climate variables that vary over space and time.

Workshop computing exercises will be based entirely in the Python programming language and learners are expected to bring their own laptops. Participants should have prior experience with basic Python programming. The instructor(s) of this workshop do not collect any money from participants or from MAGIP. The instructor(s) of this workshop are independently funded by NASA.

June 24-27, 2024 in Algiers, Algeria

Engaging with Open Science for Agriculture Using NASA
Climate Data

A hybrid workshop at Centre de Recherche en Économie Appliquée pour le Développement (CREAD), Algiers, Algeria. The workshop consists of instructor-led, hands-on-keyboard computing exercises in the morning and guest lectures in the afternoons. The computing exercises will feature, over the last two days, our NASA-funded ScienceCore curriculum, which emphasizes the use of publicly available NASA data for reproducible climate- and agriculture-related studies.

Workshop computing exercises will be entirely in Python and learners are expected to bring their own laptops; see Installation and Setup requirements here. Workshop will be taught in English with French and Arabic facilitation; workshop materials will be made available in French and Arabic in late Summer 2024.
  • Day 1/ Jour 1: Introductions and Guest Lectures by NASA Scientists
  • Day 2/ Jour 2: Python Fundamentals: Intro to NumPy and Intro to Raster Data (Le Matin); Guest Speakers (Aprés le Midi)
  • Day 3/ Jour 3: "Open Climate Data" (Le Matin); Guest Speakers (Aprés le Midi)
  • Day 4/ Jour 4: "Computational Climate Science" (Le Matin)

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