Satellite imagery API | Part 5 -  How to get your polygon in GeoTIFF format with "data"?

Satellite imagery API | Part 5 - How to get your polygon in GeoTIFF format with "data"?

This is the fifth article from the series Satellite imagery API.

Satellite imagery API | Part 4  - How to get metadata and statistics of your polygon?

Satellite imagery API | Part 4 - How to get metadata and statistics of your polygon?

Satellite imagery API allows you to get NDVI and EVI vegetation indices for your polygon. You can get this data in the form of an image or in numerical form.

Satellite imagery API | Part 3  - How to get tiles with your polygon in PNG format with "tile"?

Satellite imagery API | Part 3 - How to get tiles with your polygon in PNG format with "tile"?

Satellite imagery API allows you to get satellite data in the form of a tile containing your polygon in PNG format.

Dashboard for Agricultural Monitoring

Dashboard for Agricultural Monitoring


Dashboard for Agricultural Monitoring is a service created for visual demonstration of a satellite data (NDVI) and weather data (forecast, historical & accumulated parameters), which you can get for the area of your interest (for your polygons). 


Satellite imagery API | Part 2 - How to get an image of your polygon in PNG format?

Satellite imagery API | Part 2 - How to get an image of your polygon in PNG format?

 Satellite imagery API allows you to get a processed image from the satellite of your polygon 

Satellite imagery API | Part 1- Why Satellite imagery API? How to work with Satellite imagery API?

Satellite imagery API | Part 1- Why Satellite imagery API? How to work with Satellite imagery API?

It was not easy to work with satellite imagery and use them in applications. You had to have deep expertise in the satellite imagery area and have access to massive computing capacity. Fortunately, now these data are available in a much easier way through our APIs.

Dive into Agro API  |  Part 2 - Polygons

Dive into Agro API | Part 2 - Polygons

This article is a step-by-step description of of how to work with polygons using our instruments QueryBuilder and Agro API. The previous part explained to you how to use your personal account of the OpenWeather company, be sure to use it before starting to read this article.

How do we process satellite imagery so that customer can operate with Ready-to-use Data

How do we process satellite imagery so that customer can operate with Ready-to-use Data

1) Satellite data search.
1.1. Selection of suppliers or distributors of satellite data.
1.2. Data search in archives. Search is based on the following criteria: - date of satellite imagery, percent of cloud coverage, type of satellite imagery system, level of data preprocessing, geographical area of interest (AOI).

Dive into Agro API | Part 1 - Personal Account

Dive into Agro API | Part 1 - Personal Account

This April, the OpenWeather company presented a brand new product, Agro API, which was intended to change the working process of agricultural applications. Our algorithms for collecting and processing satellite scenes and weather data combined with the simplified delivery of prepared products to the end user make this product wholly unique and convenient.

Satellite Images API for Agriculture: NDVI, EVI, TRUE and FALSE color

Satellite Images API for Agriculture: NDVI, EVI, TRUE and FALSE color

 Satellite images API on the basis of which we calculate quantitative indices, such as NDVI, EVI, and others, and from which we also obtain ready-made images of territories in True and False color, NDVI, and EVI , along with other APIs to data such as Weather Data, Soil Data, Accumulated Temperature and Precipitation Data all go into making our new Agro API product.

TRUE Color and False Color

TRUE Color — "True color" is a rendering of red, green and blue satellite imagery spectral bands to the RGB composite image that seems to look natural.

False Color (b5 b4 b3) — "False color" is a rendering using NIR (near infrared) band which is more useful to visualize land cover and differentiate it from the urban and farmland areas. In these images it is possible to pick out different types of vegetation. Also easily discernible is the boundary between land and water, which enables changes in shorelines to be tracked.


NDVI and EVI vegetation indices

Some of the most common indices enabling quantitative assessment of vegetation cover. Convenient for tracking the growth rate of plants and monitoring any changes to them.

NDVI - This is an index calculated according to a set formula which uses near infrared and red wavelengths. Used in calculating and monitoring vegetation growth and its dynamics. NDV Index is displayed in images using the white to green palette where dark green indicates a good yield and white indicates a poor one or lack of vegetation.

EVI  -  In areas of the dense canopy where the Leaf Area Index (LAI) is high, NDVI values can be improved using information from the blue wavelength. Information in this part of the spectrum can help correct atmospheric influences and background interference caused by soil.