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

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Presentation transcript:

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

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

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

Some examples

はじめましょう

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

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

Try

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

Try

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

Try

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

Try

Save result To Google Drive