Use of Google earth imagery in urban change detection analysis was also explored by utilizing the images of 20. The percentage split of all the four landuse classes were 60.69, 31.21, 7.83 and 0.26 for open land, built-up, agricultural and water bodies respectively. Next to open land, built-up area occupies an area of 28.83 sq.km. It was found that the area occupied by open land is 56.07 sq.km, which is the highest when compared to other landuse classes. The area of various landuse classes was found using the prepared landuse map and zone-wise/ward-wise analysis was also performed.
CAD-Earth Plus also allows you to perform slope zone analysis, along with many other additional features. With CAD-Earth Plus, you can additionally import terrain configurations from Google Earth, draw contour lines, and create cross sections or profiles. So if you need the new version of this Google Earth App to run into your Windows PC, yeah. With CAD-Earth Basic you can import and export images and objects to Google Earth. They were then mosaicked and clipped to facilitate onscreen digitizing using GIS software. This Windows General app is updated to the last version at.
This free PC software can deal with the following extensions: '.kml', '.kmz' or '.eta'. The most popular versions of the software 7.1, 7.0 and 6.2. We cannot confirm if there is a free download of this software available. The present study is an attempt in this direction, in which 340 individual tiles of Google earth images covering Vellore in Tamilnadu were extracted using Elshayal Smart open source software. was on the developer's website when we last checked. and hence can be best utilized for urban related applications. An alternative solution is to utilize Google earth imagery which is open source and provides clear view of buildings, roads, etc.
To overcome this, one has to buy latest high resolution satellite image which is more expensive to purchase and sometimes it may not be possible to get the data due to security reasons. The images are of lower or medium resolution type and in many cases it may not be possible to obtain the latest image. The free satellite imagery provided in global landcover facility (GLCF) which can be used to prepare the landuse maps as attempted in many studies has certain limitations. The fundamental data required by urban planners and policy makers is accurate information on current landuse practices in a city or town and how it changes over the past for carrying out various urban planning and management activities.