This workbook was compiled to democratize geospatial analysis, aiming to teach the reader through worked out programming problems. The Geospatial Workbook provides the reader with an example geospatial problem (with input files) and corresponding solutions (and discussion). These tutorials assumes that the reader has some knowledge of GIS and basic understanding of the Unix command line.
There are multiple ways to contribute to the workbook:
- Github pull requests (preferred)
- Edit online in GitHub
- Send a write up of the tutorial (word/markdown/script) to the Genome Informatics Facility (gifhelp at iastate.edu).
Feel free to use the following Jupyter Notebook Template -- Template.ipynb
- USDA Map Gallary
- Campbell, J.E. and Shin, M., 2011. Essentials of geographic information systems. https://www.saylor.org/books/.
- Google Earth Engine
- Recent PubMed Articles using "Google Earth Engine" - see list
- Google Earth Engine online editor - Editor
- Publishing analysis via Google Earth Engine App - Code Guide
- Example Apps - Global Forest Watch
- 9th Geo for Good Summit - Watch On Demand
- API to pull and analyze Landsat & Sentinal data, can also upload own datasets
- Lightweight Geospatial Analysis
- Heavyweight Geospatial Analysis
- Recent "geospatial information systems" PubMed Articles
- Datasets
- Landsat - NASA Description
- Sentinal
- MODUS
- Customized Sensor/video/device