czkat / satellite-imagery-land-cover-classification-by-tensorflow

Welcome to data extraction from planet map and land cover classification by tensorflow 👋

In this project, satellite RGB image tiles are downloaded from PLANET website in 4-band and merged into an image mosaic according to their coordinates; then selected tiles are organized into four categories: cloud, developed, green and water, and an image classification algorithm in tensorflow will be run on these selected tiles.

Usage

conda 4.10.3, python 3.7.10

Author

👤 Chu Zheng

• Website: github.czkat
• Github: @czkat

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