LandViewer is a simple, intuitive web interface that EOS provides as a direct market product to the public

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

The standard "false color" composite. Vegetation appears in shades of red, urban areas are cyan blue, and soils vary from dark to light browns. Ice, snow and clouds are white or light cyan. Coniferous trees will appear darker red than hardwoods. This is a very popular band combination and is useful for vegetation studies, monitoring drainage and soil patterns and various stages of crop growth. Generally, deep red hues indicate broad leaf and/or healthier vegetation while lighter reds signify grasslands or sparsely vegetated areas. Densely populated urban areas are shown in light blue. This band combination gives results similar to traditional color infrared aerial photography.
The Standardized Burning Index NBR uses the NIR and SWIR channels to highlight the burned areas, while muffling the difference in lighting and atmospheric conditions. Before using this index, your images should be corrected for reflection values.
Refers to a group of color rendering methods used to display images in color which were recorded in the visible or non-visible parts of the electromagnetic spectrum. A false-color image is an image that depicts an object in colors that differ from those a photograph (a true-color image) would show.
The Normalized Differential Vegetation Index is often used to monitor drought, monitor and predict agricultural production, assist in predicting hazardous fire zones, and map desert encroachment. The NDVI is a standardized vegetation index which allows us to generate an image showing the relative biomass. The chlorophyll absorption in Red band and relatively high reflectance of vegetation in Near Infrared band (NIR) are using for calculating NDVI.

Map land use, manage resources, monitor urbanization

  • Get easy access to satellite images of your area of interests
  • Monitor infrastructure growth and urbanization
  • Use historical data to see how lands have changed over time
  • Monitor urban, vegetative, and geological sites of interest
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Examples of using LandViewer:

1. Find and save your area of interest

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.

2. Detect, monitor, and assess the spread and impact of wildfires

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.

3. Improve REDD+ Measurement, Reporting, and Verification

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.

4. Automatically detect building, roads and other urban objects

Use such indices as Color Infrared and Falce color (Urban) for artificial buildings detection and greenery to buildings correlation assessment.

Additional features

Additional features

Integrate LV data to your professional apps

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.

Visualize changes of environment

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.