Google Earth Engine

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…

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…

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…

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….

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,…

Plotting a Digital Elevation Model Profile in GEE

Plotting a Digital Elevation Model Profile in GEE

A digital elevation model is a representation of the bare ground topographic surface of the earth exclusive of trees, buildings and other objects on the earth’s surface. Digital elevation models are extracted from sources such as topographic maps, high resolution LiDAR (Light Detection and Ranging) or IfSAR (interferometric Synthetic Aperture Radar). However, LiDAR and IfSAR…

Using Landsat 8 Image To Perform Cloud Masking on GEE

Using Landsat 8 Image To Perform Cloud Masking on GEE

Landsat 8 images are widely used for a variety of applications. However, cloud and cloud shadow cover issues are still a challenge. Clouds and cloud shadow decrease accuracy of remote sensing application results because they obscure the land surface, and the brightening effect of clouds and the darkening effect of cloud-shadow’s influence the reflectance capability…

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…

Computing MNDWI using Sentinel 2 on Google Earth Engine

Computing MNDWI using Sentinel 2 on Google Earth Engine

What is MNDWI? Modified Normalized Difference Water Index (MNDWI) is a spectral index used to analyze water bodies such as rivers, lakes and dams especially in built-up areas since it can reduce or even remove built-up land. This index uses two bands:  green and short-wave infrared (SWIR). MNDWI values range from -1 to +1 where…

Google Earth Engine: Applying joins between features

Google Earth Engine: Applying joins between features

Joins are used to combine elements from different collections (e.g. Image Collection or Feature Collection) based on a condition specified by an ee.Filter. The filter is constructed with arguments for the properties in each collection that are related to each other. Specifically, left Field specifies the property in the primary collection that is related to…

Computing a Buffer in Google Earth Engine.

Computing a Buffer in Google Earth Engine.

Google Earth Engine supports a wide variety of geometric operations. These include operations on individual geometries such as computing a buffer, centroid, bounding box, perimeter, convex hull, etc. A buffer is a zone that is drawn around a point, line or polygon that includes all the area within a specified distance of the geometric feature….

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…

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