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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…

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….

Shapefile Conditional Columns in GeoPandas and Numpy

Shapefile Conditional Columns in GeoPandas and Numpy

While most shapefiles acquired from various sources are fairly ready to use with little or no edits, other uses may dictate that changes are made to a shapefile. One such instance is the need to add a column to a shapefile based on some condition. In most instances, the conditions may be too complicated such…

Accuracy Assessment in Image Classification on GEE

Accuracy Assessment in Image Classification on GEE

This post covers accuracy assessment on a sentinel image in the Google Earth Engine. Selection of the area of interest and the classification classes This is done using the geometry tool as shown below. One can use the point tool or the polygon tool in the selection of the classes. Selection of the Image collection…

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…

The future of GIS

The future of GIS

GIS has come a long way. A few years ago, a lot of industries didn’t know it existed, let alone applying it in their decision-making process. Fast forward and GIS has revolutionized most industries, including Real Estate, Disaster Management, Marketing, and many more. And that’s not all, with the advancements in geospatial technology; GIS will…

GeoDjango Tutorial Guide

GeoDjango Tutorial Guide

Some months ago, I was requested to develop a written guide on web-mapping system development using GeoDjango as published on the playlist on My Channel . After great efforts, I have released a complete GeoDjango guide that serves as a written replica of the YouTube Playlist. The guide illustrates the possibilities of developing a fully-fledged…

Maps for the Color blind

Maps for the Color blind

We are living in an era of digital maps.We’ve evolved from static maps to dynamic maps where different formats(icons,pictures) of information are being developed and shared by a large group of people globally.When mapping,less often do we consider the color blind.How do you paint a picture or develop a map when the color blind is…