Geo for Good 2022: Time-Series Processing using Google Earth Engine

Course Feature

Cost

Free
Provider

Youtube
Certificate

No Information
Language

English
Start Date

2022-10-21
Learners

No Information
Duration

No Information
Instructor

Google Earth

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2.0

3,960 Ratings

Learn how to properly prepare your remote sensing time-series for regression and trend analysis with Geo for Good 2022. Ujaval Gandhi from Spatial Thoughts will cover techniques for processing remote sensing time-series data for analysis along with their implementation in Google Earth Engine. Discover how to replace cloudy pixels and interpolate missing time-steps, as well as moving-window smoothing and savitzky–golay filtering. Join the session and view the video and slides on the Geo for Good Summit website.

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Geo for Good 2022: Time-Series Processing using Google Earth Engine

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Course Overview

❗The content presented here is sourced directly from Youtube platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 25th, 2023]

Geo for Good 2022 presents a session on Time-Series Processing using Google Earth Engine. Participants will learn techniques for processing remote sensing time-series data for analysis and their implementation in Google Earth Engine. The session will cover two topics: Time-Series Gap Filling and Time-Series Smoothing. Time-Series Gap Filling will focus on replacing missing pixels in an image with an interpolated value from its temporal neighbours. Time-Series Smoothing will cover example implementation of moving-window smoothing and savitzky–golay filtering. Ujaval Gandhi of Spatial Thoughts will be the speaker for this session. Additional information and slides can be found on the Geo for Good Summit website at https://earthoutreachonair.withgoogle....

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