GEE

Visualize changes over time in GEE

Visualize changes over time in GEE

The area of interest, in this case, is Bungoma region of Kenya, and we would like to visualize changes over time. For this example, we shall focus over the years between 2013 and 2021 in the following steps. Search for the region of interest Add the data layer to the workspace and adjust the date…

Visualization Parameters in Google Earth Engine Explorer

Visualization Parameters in Google Earth Engine Explorer

Visualization parameters enable the user to have a better view of the dataset. On the layers panel of the Modis dataset, there is a visualization dropdown. Clicking on the dropdown results in the image below: In this platform, layers can be visualized in a single band or three-band display. A single-band display is used for viewing a…

Google Earth Engine Explorer

Google Earth Engine Explorer

This blog is an introduction to the Google Earth Engine Explorer. The Google Earth Engine Explorer comprises the data catalogue and the workspace. The catalogue is used for searching and import of data to the workspace, while the workspace is used for the viewing of data. Data Catalogue It provides the datasets available in earth…

NDVI Time series in Google Earth Engine.

NDVI Time series in Google Earth Engine.

The Normalized Difference Vegetation Index (NDVI)is a spectral index used to quantify the greenness of vegetation. Earlier on, we had calculated NDVI and this blog will focus on a time series chart of NDVI of a region over a period of time as follows: Define and import the region of interest. This is done using…

Exporting vector data in GEE

Exporting vector data in GEE

This blog shows how to export images from the google earth engine. The blog on supervised classification is used, and we will be exporting the classified image to Google Drive as shown below. The code for exporting the image is as follows: Once the code is run, the exportation process is visible on the task…

Adding a Legend in GEE

Adding a Legend in GEE

A legend is a quick guide and easy roadmap to enable the identification of the outputs of a particular analysis or study. In this blog, a legend is created for the supervised classification we did earlier. The following is a step-by-step guide for adding a legend in GEE. Create the legend title and style it….

Computation of NDVI using Google Earth Engine

Computation of NDVI using Google Earth Engine

Normalized Difference Vegetation Index (NDVI) is a spectral index used to quantify the greenness of vegetation. It is used to monitor the health of plants and understand vegetation density. Calculating NDVI is done using two bands: the red band and the near-infrared band. This computation can be easily adapted using the Google earth engine. This…

Supervised classification in GEE

Supervised classification in GEE

In this post, we will cover the use of machine learning algorithms to carry out supervised classification. Source: Google earth engine developers Supervised classification is enabled through the use of classifiers, which include: Random Forest, Naïve-Bayes, cart, and support vector machines. The procedure for supervised classification is as follows: Selection of the image The first…