OpenWeather is delighted to offer fast and simple APIs for both weather data and satellite imagery. 

Specifically for agro-users, we have selected a set of APIs that can be incredibly useful for work in the context of agricultural digital solutions development. Additionally, we offer more specialized  APIs as well.

Historical NDVI API is a part of an overall functionality of Agro API, a digital tool created for the needs of agricultural users.

The OpenWeather team is pleased to present a new source of current data for the VANE platform service – two Modis satellites: Terra and Aqua.

OpenWeather will help you easily and quickly move to our Weather API if you have been affected by the closure of the Weather Underground API.

Relief Maps allows you to get relief maps from around the world. Set the position of the sun in your parameters and you will receive precise illumination of the earth’s surface and its relief for the conditions you have set.

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

In the past, it was not easy to work with satellite imagery and use the images in applications. You had to have deep expertise in the satellite imagery area and have access to massive computing capacity. Fortunately, now this data is available in a much easier way through our APIs.

This article is a step-by-step description of how to work with polygons using our QueryBuilder and Agro API instruments. Part 1 explained how to use your personal OpenWeather account – be sure to set it up before starting to read this article.

This April, OpenWeather presented a brand new product, the 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 very convenient.

The drawings show global coverage obtained between 1 June 2017 and 1 September 2017 using data from the MODIS spectroradiometer aboard KA Terra and Aqua.

The current cloudless coverage of the Earth by medium and low-resolution satellite images is an important element in the regional and global systems that monitor the territorial changes caused by natural and man-made factors. For example, assessing the damage inflicted by forest fires caused by deforestation, volcanic eruptions, flooding and so on. Also, such types of coverage are popular as the base layer for cartographic web services.

The main stages of creating such coverage are: the selection of images, the masking of clouded areas, tonal adjustment of images taken at different times of the year, and pasting them into single coverage using so-called “cutlines”, which enable, to a certain extent, the joins between the pasted images to be hidden. Such operations, as a rule, are carried out in semi-automatic mode and require specialised software and highly qualified experts, which substantially increases both the time taken to create such a product and its cost.