Remote Sensing Term Recap

In summary, our module was a valuable process for using remote sensing to analyze and understand the complexities of urban environments. During the term we learnt about creating reproducible remote sensing workflows, policy application of remote sensing, using SNAP for basic operations and Google Earth Engine. I have recorded some of the resources that was helpful to my journey:

Remote Sensing Basics, Machine Learning and GEE

• PCA explained by Hyeon Gu Kim

• Lecture series on GIS and remote sensing

• Clipping Polygons in GEE by Youtuber Fech

• GEE data catalog

• GEE community catalog

• GEE polygon

• GEE upload your own shapefile

• GEE Map by Professor. Qiusheng Wu

• GEE slider (feature to be added to Jakarta NDVI/Building Lookup APP later )

HTML, CSS and Quarto

Here are a list of resources that I have used and adapted for this Quarto book:

• Embedding multiple images

• Embedding videos

• Data visualisation in quarto with Observable JS

• General introduction to CSS

Future Works

The trend now seems to be building application with Python + GEE, therefore, I am planning to use the Python / GEE tool suite for parts of the visualization work with thesis work. Hopefully it will be interactive and with a touch of satellite images showing the road networks for the transport in a city.