Calculating the area of polygons in Google Earth Engine
This tutorial demonstrates polygon creation, perimeter and area calculations, and visualization using the JavaScript interface to Google Earth Engine.
Matt Oakley
Matt Oakley has contributed to the materials listed below. Matt worked with the Analytics Hub as an undergraduate intern in 2016 while pursuing his degree in computer science.Course Lessons
Course lessons are developed as a part of a course curriculum. They teach specific learning objectives associated with data and scientific programming. Matt Oakley has contributed to the following lessons:
Data tutorials
Introduction to the Google Earth Engine Python API
This tutorial outlines the process of installing the Google Earth Engine Python API client.
Introduction to the Google Earth Engine code editor
This tutorial introduces the code editor in Google Earth Engine and shows how to use LandSat imagery using the JavaScript API.
Using Leaflet and Folium to make interactive maps in Python
This tutorial shows how to make interactive maps in Python with folium.
Visualizing elevation contours from raster digital elevation models in Python
This tutorial shows how to compute and plot contour lines for elevation from a raster DEM (digital elevation model).
Calculating slope and aspect from a digital elevation model in Python
This tutorial shows how to compute the slope and aspect from a digital elevation model in Python.
Computing raster statistics around buffered spatial points Python
This tutorial shows how to compute raster statistics like the mean and variance around buffered spatial points in Python.
Using R and Python in the same Jupyter notebook
This tutorial shows how to use rpy2 in a Jupyter notebook to run both R and Python.
Create rasters from SMAP data in Python
This tutorial demonstrates how to access SMAP data, and how to generate raster output from this data.