Geospatial Raster Data Analytics in Python

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𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧

- Why raster analytics?

1. 𝐓𝐡𝐞 𝐂𝐨𝐧𝐭𝐞𝐱𝐭 𝐨𝐟 𝐆𝐞𝐨𝐬𝐩𝐚𝐭𝐢𝐚𝐥 𝐃𝐚𝐭𝐚

- Brief recap on geospatial data and analytics

- Overview of raster data

- Data acquisition

2. 𝐓𝐡𝐞 𝐁𝐚𝐬𝐢𝐜𝐬 𝐨𝐟 𝐑𝐚𝐬𝐭𝐞𝐫 𝐃𝐚𝐭𝐚

- Creating dummy raster data

- Spatial referencing and saving raster data

- Reading and characterizing raster data

- Visualizing single- and multi-band raster data

- Chapter 2 Coding Challenge

3. 𝐑𝐚𝐬𝐭𝐞𝐫 𝐃𝐚𝐭𝐚 𝐄𝐱𝐩𝐥𝐨𝐫𝐚𝐭𝐢𝐨𝐧

- Read and characterize real-world raster data

- Clip real-world raster data with vector data

- Visualize real-world raster data

- Zonal statistics on raster data

- Chapter 3 Coding Challenge

4. 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬

- Prepare real-world raster data

- Elevation raster data

- Reprojecting raster data

- Resampling raster data

- Create multiband raster data

- Applying simple functions on raster data: Part 1

- Applying simple functions on raster data: Part 2

- Applying simple functions on raster data: Part 3

- Applying complex functions on raster data