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Classifying LANDSAT images: Beginner’s edition (Jun20, 2017)

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Presentation on theme: "Classifying LANDSAT images: Beginner’s edition (Jun20, 2017)"— Presentation transcript:

1 Classifying LANDSAT images: Beginner’s edition (Jun20, 2017)
Prakhar Misra, D3 Wataru Takeuchi Lab The University of Tokyo

2 Some common problems Downloading dataset Downloading incorrect dataset Processing huge dataset Sharing dataset

3 Google Earth Engine “ cloud based platform for planetary-scale Earth science data & analysis” Not Google Earth Fill application to get access Programming skills preferable Lot of people assist A note of caution

4 Some examples

5 はじめましょう

6 Goal Display images Preparation dataset Preparing training data
Supervised classifying Save result

7 Image collections https://explorer.earthengine.google.com/
8 day, 32 day, Annual composites calculated already Also NDVI, EVI, BAI, NDWI Filter by date/location

8 Try

9 Clean, add more bands Remove clouds Use cloud mask Add NDVI, etc bands
Overlay

10 Try

11 Training dataset or ‘High Resolution training with Google Earth’
Use Google Earth Save as .kml Upload and Convert to Fusion Table

12 Try

13 Classify Supervised/ Unsupervised Instantiate a classifier
Train it over training data Classify the image

14 Try

15 Save result To Google Drive


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