LandViewer functionality

Change Detection

The objective of Change Detection is to compare the spatial representation of two points in time by controlling all variances caused by differences in variables that are not of interest and to measure changes caused by differences in the variables of interest.  Change detection for GIS  is a process that measures how the attributes of a particular area have changed between two or more time periods, comparing two satellite images taken at different times. Change detection has been widely used to assess deforestation, urban growth, the impact of natural disasters and land cover changes etc.

To get started with the Change Detection function, please follow several simple steps:

1. Firstly set/upload/draw your area of interest (AOI). Once it’s done, in the FILTERS tab select the sensor, set Cloudiness and Sun Elevation values. After that, go to Analysis Tools menu and click Change Detection.

NB You need to select the scene to make the Change Detection active.

2. Once the first image is chosen, it appears on the map in the left side of the Comparison slider, while the right part contains the search panel to find the second image. When you get started with searching, a prompt message on how to proceed in a proper way occurs in the right menu. The Cloudiness is set up to 30% and the data source is chosen accordingly to the first image sensor by default.  Use the buttons L / R to switch between the images on the slider.

3. At this step, please select the second image, dating from a different period of time to detect and assess the changes happened.  Once both images appear on the map, click the Change Detection button to access the feature’s menu.

4. Choose the index you want to detect the changes for from the list in the Indices drop-down menu. To make whatever setting’s changes Click the “Back to scene search” button in the right upper menu. You can also check both images metadata and switch between the images on the map clicking the thumbnail pictures in turn. In order to select the necessary index go to Band combination drop-down menu. The scenes are displayed in “natural color”.

5. Once all the options are set, click Calculate. The outcome image is displayed over the originals ones.  Once it is calculated, a slider to change the transparency of the difference layer appears on the map, and, below you can find the Change Detection Legend, displaying the index values by different colors. In our case, the resulting image shows positive changes in NDVI values.

6. Now you can either download the image in .png, .tiff or .jpeg  format on your device or save it to your EOS Storage account.

Time Series Analysis

With Time Series Analysis, you can visualize the data dynamics, constructing a spatiotemporal time series vegetation indices (VI) graph. The approach is widely employed in regional vegetation growth dynamics observation, phenological crop identification, land use change detection, etc. To use the Time Series Analysis is easy.  You just need to set the AOI, time period and vegetation index. Once the graph is built,  check the metric details of the selected Scene, Preview it on the map and download the result data as Excel file for further processing.  

To get started with Time Series Analysis, take the following steps:

  • Set the AOI (maximum processing area –  200 km2) and click the Time Series Analysis icon

  • Choose the spectral index (NDVI, NDWI, NDSI) from the drop-down menu in the Time Series section on the top of the graph. Then select the sensor from the drop-down menu and time period; time intervals of (1, 3, 6, 12) months and (3, 5, 10) years are set by default. To build analytics with the selected parameters click Apply

  • click Figure or Table on the right of the graph to download the result data as CSV file for further processing

  • Left-click the point on the graph to check the metric details of the particular Scene, that is Source Data, Cloudiness, Mean, P10/P90, Median, sd, Min / Max

  • To Preview the result, click Visualize in the top right of the image and the selected Scene shows up on the map

High resolution images

LandViewer is connected to Airbus SE via API, therefore you can preview high-res satellite images, select the one that fits your AOI most and purchase it. The procedure is as follows:

  • Set the AOI and select High resolution category in the Source drop-down menu of All Filters tab. Apply the other filters

Preview the available scenes on the map and check the details. The price is given in US dollars and highlighted in green. It also provides you with the information about the area of intersection between the selected image and your AOI the final price is based on. In other words, the larger the area of intersection, the higher the price charged. Select the necessary images and click Add to cart.

Check the adding progress status, which is displayed in the bottom right of the screen. Once the process is completed, the notification In cart shows up in the image field.

Click Your Cart icon to check the order.

In the cart box specify the number of end-users in License field, tick the EULA (End-User License Agreement) box to confirm you agree to terms and click Submit. To find the terms of  EULA, follow the link.

NB We also offer a flexible discount system that depends on the number of images as well as the size of the area purchased.

The notification box shows up once your request is successfully sent. Once all the purchased details are agreed, the payment link or invoice shows up in the middle of the screen. When the payment is received, the image is distributed it to your EOS Storage account within three business days. At this step, you can download the purchased high-resolution satellite images directly from the EOS Storage.

 

3D Modeling

Create a three-dimensional representation of your AOI with a powerful visualization tool – 3D Terrain Modeling. How to use it:

  • set the AOI, select the Terrain layer and click the 3D Modeling icon in the toolbar on the left

  • wait a few seconds until 3D Modeling is in progress

  • customize your 3D Model, using (+) and (-),  the mouse buttons and keyboard arrows

Zoom in to view the terrain details

To make a 3D Model of the satellite image, set the AOI, select the image and apply 3D Modeling feature

Wait a few seconds until 3D Modeling is in progress and navigate the Model according to your needs

WMS

With WMS (Web Maps Serviсе) you can integrate LandViewer data into 3rd party tool. Using the function, browse the imagery from LandViewer directly in your desktop or online software applications like QGIS, ArcGIS, EOS Vision, etc. for further processing

*To add the data to WMS you should have a client with WMS 1.3 protocol support only

To get started with WMS, take the following steps:

  • Set the AOI and click add to WMS layer in the context menu

  • Once it’s done, in the special WMS box set the Date, check the specifications and click Add to get a wms url link

  • Copy it and use for further processing whenever you need

To check, edit and copy the list of your WMS links, stored in the section, go your Profile settings and select WMS

Compare images

To view and compare two images from one or several satellites, use the Comparison slider that splits the screen into two parts. You can also apply the band combinations and spectral indices. To use it:

  • set the AOI
  • process the image according to your needs
  • click Comparison slider in the right sidebar
  • once the screen is split into 2 parts (the left part – the processed image, the right one – the base map), repeat the workflow described above.
  • move the slider left and right to change the size of the parts

Clustering

Another progressive functionality is designed to specify definite, averaged in definite index ranges, zones within the AOI, with clear boundaries, displaying the results of zone parameters’ calculation and the ability to export them to other software.

How it works

The tool transforms a high-resolution raster map into zones that share common index values. As a result of clustering + vectorization, you will get two new layers within the selected AOI. The first one is a raster layer containing the zones, which are highlighted with respective color and their boundaries determined by the same color. And the other one is vector layer, which contains b/w image, where each particular zone is indicated by a black color outline, and the detailed information about each zone that can be exported directly to a shapefile for further processing in other applications.

1. To get started with Clustering, you should draw your AOI using the tool-box on the left, choose the data source and select the image, covering your AOI 100%.

2. Once it’s done, click Clustering icon on the right

3. Select the Band combination from the drop-down menu, set the number of Classes (zones) and the Minimum zone area you are going to analyze. After that make step 1 and apply Show preview to display the results of raster zone calculation.

4. Make step 2 and click Calculate metrics to start vector calculation. Once the calculation is completed, the results are saved in your EOS Storage account by default. To download the layers on your device, click the Download button in the bottom menu.

5. To check the metrics details of the specific zone, left – click any place of the selected zone. Manage color and borders setting using Fills and Borders buttons respectively. Choose the downloading geo-format from the list available.

Applied fields

Agro monitoring: identification of high/low crop yield and affected vegetation areas, different types of vegetation areas to build fertilizers, sowing/resting, watering as well as drones’ routes and farming equipment map.

Coastal monitoring: analysis of coastal zones, coral reefs to assess and analyze water temperature, salinity, phytoplankton, hydrology, changes in coastline, bathymetry, soil moisture as well as potential threats to shores.

Forestry: identification of specific zones by vegetation density, vegetation type, monitoring of deforestation yet together with the vegetation change dynamics using time series approach.