Introduction to Remote Sensing with Python

Instructor: Yoh Kawano
Workshop materials: github.com/yoh...
Satellites are circling our planet, allowing us to "sense" things about the Earth. It is the art and science of making measurements using sensors. Remote sensing has thus become a valuable tool in research and applications in a wide range of disciplines, such as engineering, geology, geography, urban planning, public health, archeology, environmental studies, disaster research, forestry, and agriculture.
In this workshop, you will:
- learn the basic principles of remote sensing methods in research
- have a hands-on session on using Jupyter Notebooks to code in Python
- import Landsat imagery using Google Earth Engine's Python library
- conduct a basic NDVI (Normalized Difference Vegetation Index) analysis

[@smoekee]

As a GIS tech who is trying to teach themselves spatial data science, I sincerely appreciate these free videos. Thank you.

[@FrancoSkaterock16]

Hi, thanks a lot! It is a great start for those who wants to merge his python knowledge and satellite imagery.

[@corecode4491]

Wow..what a tutorial
Thank you so much❤❤

[@ninadkorgaonkar5134]

Fabulous Lecture

[@changsongzhao6097]

million thanks!

[@juliuskimani6726]

Once I save the folium html, after two days, the interactive visualization stops to display. What could be the problem?

[@muhammadumarakbar8946]

Great workshop, Can I found any advance level course of the instructor?

[@MontielGT23]

Apart from NDVI, can we calculate water indices using satellite imagery with Python?

[@evanskamash515]

Great

[@ojeifooziegbe360]

nice

[@muhammadizhar2789]

Sir Google is not allowing me to log in....?