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(2/4) Visuals time series in Earth Engine using Python |Geo for Good 2023

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This Jupyter Notebook provides code snippets and practical exercises for the Earth Engine Python workshop at the Geo for Good Summit. → https://geemap.org/workshops/G4G_2023
Watch FULL workshop playlist →    • Introduction to Google Earth Engine i...  
More about the 2023 Geo for Good Summit → https://g.co/earth/geoforgood23

❤ DESCRIPTION:
Master the art of geospatial analysis with our Geemap Guide! Unlock a world of data as Dr. Qiusheng Wu takes you through the intricacies of geospatial data handling using the powerful Geemap tool. From sourcing comprehensive datasets to converting JavaScript to Python, this guide is your key to efficient mapping and analysis. Dive into practical exercises, explore the vast Earth Engine Data Catalog, and learn shortcuts to streamline your geospatial projects. Whether you're a beginner eager to learn or an expert expanding your toolkit, this video empowers everyone to contribute to a more informed and sustainable future. Start your geospatial journey now and transform the way you interact with our planet's data!

#geospatialdata #GeemapGuide #EarthEngineDataCatalog #GeospatialAnalysis #mappingtechnology #remotesensing #EarthEngine #cloudcomputing #GeographicInformationSystem #GIS #ClimateAnalysis #EarthObservation #climatechange #sustainability #geospatial #GeoAnalysis

TIMESTAMPS:
0:00 Introduction to Earth Engine
1:33 Earth Engine Data Catalog Tutorial
10:12 JavaScript to Python Syntax in Earth Engine
14:19 Earth Engine Exercise: Image Clipping
19:44 CloudFree Mosaic Creation on Earth Engine
22:19 PreBreak Q&A Session
26:32 Data Visualization Techniques in Earth Engine
28:19 Earth Engine Plotting Tools Overview
32:19 Creating Legends in Earth Engine
34:30 Color Bar Implementation for Maps
36:36 Earth Engine Split Map Feature
39:48 Time Series Analysis with Earth Engine
41:05 Time Slider Functionality in Earth Engine
43:08 Sentinel2 Imagery Visualization Techniques
43:15 Image Collection Visualization in Earth Engine
43:59 Time Slider Tool for Image Collections
45:42 Conclusion of Earth Engine Morning Session

SPEAKERS:
Qiusheng Wu, University of Tennessee Knoxville

USGS GAP CONUS,Geospatial Data Analysis,Google Earth Engine,Remote Sensing,Earth Engine Data Catalog,Google Earth Engine Python Tutorials,Python Gis,Geospatial Data,Google Earth Engine Python,Geospatial Visualization,Geemap Guide,Cloudfree Mosaic,Geospatial Python,Interactive Geospatial Analysis,Jupyter Notebook,Sentinel2 Visualization,Google Earth Engine Qgis Plugin,Data Visualization

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