Google Earth Engine

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…

Creating a chart in Google Earth Engine

Creating a chart in Google Earth Engine

Charts are used to represent data. They can be in different forms; such as pie charts, bar charts, column charts, line charts, scatter plots, and histograms. This blog will show a simple code for the creation of a bar chart in GEE. The result when the code is run is a bar chart as shown…

Computation of Principal Components Analysis in GEE

Computation of Principal Components Analysis in GEE

Principal components analysis (PCA) is a technique applied to hyperspectral and multispectral data acquired through remote sensing. PCA converts an original correlated image into a smaller image with uncorrelated variables. These variables represent most of the information existing in the original image or dataset. PCA reduces the dimensions of data. When PCA is done on…

Importing vector and raster data in the Google Earth Engine.

Importing vector and raster data in the Google Earth Engine.

Vector and raster data formats are used in analysis in the Google Earth Engine. Vector data can be in formats such as shapefile, which is the most commonly used, Digital Line Graph (DLG), Keyhole Markup Language (KML), GeoJSON (Geographic JavaScript Object Notation), among others. Raster data formats on the other hand can be in GeoTIFF,…

Computation of NDBI in Google Earth Engine

Computation of NDBI in Google Earth Engine

What is NDBI? Normalized Difference Built-up Index (NDBI) is a spectral index used to analyze built-up areas. This index uses two bands: the short-wave infrared (SWIR) and the near infrared (NIR). Areas with more built-up structures reflect shortwave-infrared (SWIR) more while areas with less built-up have a low Near-Infrared (NIR) reflectance. NDBI values range from…

Preview of an Image Collection Using a Time Series Animation.

Preview of an Image Collection Using a Time Series Animation.

Images composing an ImageCollection can be visualized as either an animation or a series of thumbnails referred to as a filmstrip. These methods provide a quick assessment of the contents of an ImageCollection and an effective medium for detecting spatiotemporal change. This article focuses on how to prepare an Image Collection for visualization, provide example…

Unsupervised Classification in the Google Earth Engine

Unsupervised Classification in the Google Earth Engine

This blog covers unsupervised classification in the Google earth engine. Source: Google Earth Engine The process of unsupervised classification in GEE is carried out using  the ee.Clusterer package. The package has been adopted from Weka Loading of the image The image used in classification is from the landsat program. A landsat 7 image is used…

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…