LandViewer allows non–expert users to select a geographic area for analysis, an earth observation data types, and then apply their choice of on–the–fly imagery analytics
Save your time - use the search on location or coordinates to move to the objects you are interested in. Draw AOI and save it in your list My AOI. Now, it takes you only 2 clicks in the LV menu to move to the needed area.
Satellite data makes it possible to react promptly on different natural disasters and help to take emergency actions to minimize the consequences. Use Color Infrared or NBR Band combination for burnt areas detection and damage evaluation.
You can detect changes of greeneries using vegetation indices and direct comparison of data for different periods in Slider. An archive of satellite images since 1982 allows tracking global tendencies of deforestation to evaluate the risk zones management.
Receive important metrics about the environment condition and segment the area you are interested in on separated parts to make analysis easier. You can also use clustering as a base for further classification of vegetation types or lands cover types.
Use such indices as Color Infrared and Falce color (Urban) for artificial buildings detection and greenery to buildings correlation assessment, so as the influence of urbanization on the environment
Receive relevant satellite data right in your software, which you use in your professional activity. We provide data loading via WMS if your software maintains this format. The full integration with the use of API is available.
Analyze and share the visual information about the condition of observed objects with the help of Time Lapse animation tool. You can make an animation for any period of time, applying different indices and saving it on the computer or sharing in social networks.
Do you want to use specific indices for data analysis? Use the Custom Band Combination tool. You can see an example of GEMI index use in the picture. This index is more sustainable to atmospheric phenomena, but unlike popular vegetation indices, it requires additional knowledge for results interpretation.