In the era of the high level of technological achievements of remote sensing of the Earth and the high level of development of web cartography, interactive web applications for the analysis of data of remote sensing of the Earth are gaining more and more popularity. Considering the large amount of space image data, and the complexity and heterogeneity of the analysis tools that need to be developed, the question arises of quickly and efficiently creating an interactive web application for the analysis of space images that will help scientists monitor and study changes in the Earth's surface and predict optimal ways of territory development with minimal expenditure of time and resources. In solving such a question, the specialized web platform Google Earth Engine (GEE) can help. The purpose of the article is to highlight the characteristics and advantages of the GEE platform by creating an interactive web application using the example of analysing changes in the NDVI index. Analysing GEE allows us to conclude that this web-platform provides a comprehensive solution for creating interactive cartographic web applications for the analysis of space images with a built-in IDE. It will help to significantly reduce development time and costs, allowing for quick and efficient analysis of Earth remote sensing data.

The study aimed at examining the spatial pattern of residential densification in housing submarkets of Bida, an ancient traditional town in Nigeria. The study adopted the 2015 standard residential density of Niger State Urban Development Board to determine the level of residential density and occupancy rates of the various submarkets of the town. The study also adopted primary method of data collection through the use of satellite images, handheld GPS and georeferencing of demarcated areas and the buildings, using point features and vector approach in ArcGIS environment to achieve the area coverage, number of buildings and buildings per hectare (ha) in the housing submarkets. The finding of the study reveals that in 2008 Town housing submarket has the highest area coverage, followed by the Project Quarters and then GRA, but in terms of residential density, four housing submarkets of Town, Rahmatu Dangana, Gbazhi and Wadata have high densities above the other seven submarkets. The study further reveals that in the year 2013, additional eight housing submarkets have high residential densities, GRA medium density while Eyagi and Prject Quarters had low densities respectively. It was therefore recommended that there is the need for rational densification (planned densification) for urban development in order to check the increasing unplanned residential density that reduces the green and open spaces in urban environment.