Query Builder: Modes and control elements. Creating a map.

We begin the publication with a series of short instructions on worked with our new web interface Query Builder for Vane platform.

Modes and control elements:

0 - settings panel;
1 - layer selection - map, satellite image, space image, and legend (hybrid map);
2 - full-screen mode;
3 - quick switch to hybrid map;
4 - search by place name;
5 - scale;
6 - from the bottom left, the geographical coordinates and and coordinates of the tile under the cursor are shown.

Creating a map

To create a map, you must complete a few simple tasks:

  1. Select a data source;

  2. Select a processing type;

  3. Set the time range.

Additionally, you can set display parameters and choose spectral bands specific to your objective.

After selecting operations and sources and setting the desired parameters, the only thing left is to get the generated link as requested by clicking the GET THE URL button.

Use this tile server URL in your application as a template with any standard mapping libraries like Leaflet, Mapbox, Google Map, and Open Layers.

Important! You need to get API key and replace {APIKEY} with your personal one

Monitoring of fields by satellite imagery. NDVI by Landsat 8 and Sentinel 2

Monitoring of fields by satellite imagery. NDVI by Landsat 8 and Sentinel 2

Let’s consider an example of the application where you can trace a condition of any part of fields timely and with visual representation. For that, for your specified polygon on a satellite image we calculate Vegetation index (NDVI ) for a time period of several years.   

The weather alerts on our meteorological data

The weather alerts are ones of the tools that we offer for agricultural monitoring of fields  http://agromonitoring.com/. For your convenience we have designed an interface for our API where you can create triggers for a polygon of any shape. These triggers will work out in case of emergence of specified weather conditions (temperature, humidity, pressure, etc.) during a certain period of time.    

For example, there is a field where some plants are inclined to suffer from freezing, while other plants need measures to be taken in case of strong wind – and you can easily get this information with our tool. Just set specific trigger conditions and if they happen you will get a program warning.  

Open Dashboard for Agricultural Monitoring

Today we’d like to show you what you can do with our data. Open Dashboard for Agricultural Monitoring (http://agromonitoring.com/) is a presentation of possible use of weather and satellite data in your agriculture applications. This is a service where everyone can find weather data and satellite imagery of their fields easily through our APIs. All you need to do is just to register, to draw a polygon and you get all the necessary stuff in an instant.

Here you can evaluate a condition of fields from satellite imagery and get clear information for analysis of the dynamic changes taking place on these fields. Also this service provides weather data for any specified area: forecasts, historical data and notifications about critical weather situations for a stated period.

If you are interested in embedding this service in your application you can find further information here: http://agromonitoring.com/

Parameter “op”. Values and examples of usage.

Parameter “op”. Values and examples of usage.

Value of parameter “op” indicates a type of operation used for image processing. By default value op=rgb

Parameter “op” can have the following values:    

op = rgb (RGB)
op = ndi (Normalized Difference Index)
op = evi (Enhanced Vegetation Index)

With these values any combination of available bands is possible.

Attention! Each operation accepts a definite number of bands. If an irrelevant number of bands is denoted, then an error message will be shown.    

Presets with installed order and set of bands:

op = truecolor (a composite image that seems to look natural)
op = falsecolor (is a view using NIR band)
op = ndvi (Normalized Difference Vegetation Index)

Attention! If incompatible values of some parameters are specified (for example, in
case of putting “select”), then an error message will be shown.    

We are glad to introduce a new version of our satellite image processing platform VANE

We are glad to introduce a new version of our satellite image processing platform VANE.

So, what’s new:

Now a request with an error or invalid values will return a response with the recommendations on how to fix it. Also the validation of values became stricter. For example, the “select” parameter takes only a definite amount of bands. Parameters’ specifications themselves have gone through some changes

You can find  the detailed description here   http://owm.io/vaneLanguage.

It’s easier to work with colors now by using default color schemes and palettes. A corresponding default color palette is automatically generated depending on an operation (the “op” parameter) and a current data source (the “from” parameter). And of course you can make your own color scheme.

How to choose images for a specific date or a particular period. Parameter of query “where”

Choose images on the specific date, for the particular period, pick up the best images for the last month or week, and many other options.

Color correction and customization of color scheme. Parameter of query “color”

You can apply a variety of color processing to your images

VANE images from any Earth observation satellites. Parameter of query “from”

VANE processes images from any Earth observation satellites. The publicly available coverage (see Global Satellite Map) consists of open data from MODIS  (Terra, Aqua), Landsat- 8 and Sentinel-2 sources, the commercial data includes Planet's imagery (Rapideye, Planetscope) and more data to come.

from=modis (Aqua+Terra)
from=aqua (Aqua)
from=terra (Terra)
from=l8 (Landsat- 8)
from=s2 (Sentinel-2)
from=re (Rapideye)

VANE language use cases

Here is a sample query to get last Sentinel-2 image for some location, adjusting gamma and contrast to have rendering of Red, Green and Blue satellite imagery spectral bands to the RGB composite image that seems in natural colors - so called “True Color”.


Next we can switch it to the “False Color” with few other params - adding infrared band and increasing the contrast to distinguish urban areas and farm fields:


Note that you can get instant visual result with the help of VANE SQL-viewer - this is a very basic and useful tool to build and try your queries.
See Vane Language documentation for more information and examples.