Data Processing for GRACE: From Satellites to Climate Change

Partner: Udemy
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Description: The Gravity Recovery and Climate Experiment (GRACE) mission has completely transformed the way we understand groundwater, droughts, floods, and climate change. However, working with GRACE data can feel overwhelming because it comes in large NetCDF (.nc) files that require specialized tools and coding skills to process.This course is designed to bridge that gap. Using Python, I will take you step by step through the entire workflow of processing, analyzing, and interpreting GRACE satellite data. You don’t need to worry if you are new to this field — we start from the basics and gradually move towards advanced applications, ensuring that you build both technical skills and scientific understanding.Here’s what makes this course unique:You will get access to global GRACE data from April 2002 to May 2025 in .nc format, which you can use to practice along with me.The course is not just theory — it is structured around a real-world project, where we focus on a study area and apply all methods to actual data.You will learn how to use Python libraries such as xarray, geopandas, rasterio, and numpy to open, process, clean, and export GRACE data into usable formats like GeoTIFF.Together, we will build a time series of groundwater storage changes and interpret the results to understand drought, flood, and groundwater conditions over time.By the end of this course, you will be able to:Confidently handle GRACE datasets in NetCDF format.Clip and process satellite data for any region of interest.Convert raw data into meaningful maps, graphs, and time-series outputs.Apply your skills to real-world problems in hydrology, climate research, and water resource management.This course is perfect
Category: Teaching & Academics > Science > Remote Sensing
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Price: 124.99
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Source: Impact
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