Query Builder Palette

Query Builder Palette

When you work with single-channel images, you need to focus in depth on a narrow range of values and clearly evaluate the researched data.

How to get free satellite imagery from Sentinel-2

How to get free satellite imagery from Sentinel-2

If you want to download Sentinel-2 satellite data, you’ve come to the right place! Our Satellite Images API was created exactly for this purpose.

Dive into the Agro API | Part 2 – Polygons

Dive into the Agro API | Part 2 – Polygons

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.

How we process satellite imagery so that you can operate with ready-to-use data

How we process satellite imagery so that you 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, percentage cloud coverage, type of satellite imagery system, level of data preprocessing, geographical area of interest (AOI).

Dive into the Agro API | Part 1 – Personal account

Dive into the Agro API | Part 1 – Personal account

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.

Satellite Images API for Agriculture: NDVI, EVI, True and False colour

Satellite Images API for Agriculture: NDVI, EVI, True and False colour

In this article, we would like to look in more detail at one of the essential elements of our Agro API: the Satellite Images API. The Satellite images API is the dataset from the Landsat 8 and Sentinel-2 satellites 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 colour, NDVI and EVI.

We provide historical data as well as satellite images that are as up to date as possible (allowing for the data source and cloud cover) for the very nearest time period. These images are available to all account users, including those who are using the free package. For non-paying users, the range for satellite data requests is 6 days. For the paid service, it is one year. You can learn more about our pricing plans here.

Please note that there are limits to the total area for which you can request data, and to the number of requests that you can make per minute. However, should you exceed these figures, we will continue to provide you with the data you need so that your work is not affected and your customers will not run and hide!*

You can find all the details and the full set of the Agro API‘s capabilities here.

As always, we would be glad to hear your comments and suggestions regarding our product!

* At the end of your billing month, we will provide you with a separate bill for any additional area, beyond the tariff limits, for which you requested data.

Weather and satellite APIs for precision farming

Weather and satellite APIs for precision farming

Objectives

As farms mainly consist of crop fields, which can be hundreds of acres in size, much time and a great deal of resources are demanded of farmers in obtaining an accurate picture of the overall condition of these farms.

Drying out of plants or, conversely, an excess of moisture and a rise in the number of pests: these can all take their toll on the size and quality of the harvest and demand a rapid response. There are also such problems as the danger of overusing fertilisers, which poses a threat not only in terms of extra costs but also in that it is harmful to the environment and primarily to the health of farmers themselves.

To maximise harvests, constant monitoring is required throughout the season; and it is not easy finding the time to keep up with changes for each crop, not to mention monitoring the condition of every single acre. When deciding on long-term plans, a comparative analysis has to be carried out for both the usual course of the seasonal cycle and, in particular, any crises that have arisen.

To assess the current situation and to keep track of changes compared with preceding seasons and with the condition of neighbouring fields, accurate information on both the past and the present is needed as well as future forecasts that are as precise as possible.

Solutions

There are currently numerous services that help with managing farms for any acreage: checking boundaries and nutrient and moisture intake, monitoring the negative effects of weather conditions and diseases, and controlling pest numbers. And this can all be done without having to visit the fields, just by using a phone or tablet screen or a PC.

It is exactly to provide these services that OpenWeather offers a wide range of APIs for different weather and satellite data combined in the one product, the Agro API, with universal and simple syntax.

Agro API – service for agriculture

Agro API – service for agriculture

The OpenWeather team are pleased to announce that we are launching a new product aimed primarily at specialists developing agricultural services and addressing the specific requirements of this sector. This product is also geared toward the insurance and banking sectors and can be used as a farm rating tool.

VANE platform: The Polygon tool

VANE platform: The Polygon tool

An example of one of the services for agricultural applications offered by VANE has now been added to the Query Builder interface.

The Polygon tool allows you to isolate any outline you want in the photograph, process the satellite images in RGB and EVI, and arrange any colour palette with any scale for a specific area.

It is possible to edit it, obtain data on the depicted polygon and download it from the GeoJSON file.

You can then get the URL with the assembled polygon and copy it to your site.

VANE platform news

VANE platform news

The filter algorithm for selecting BEST coverage tiles has changed.

BEST is the method for overlaying images (parameter value order), and is the best way possible, depending on the parameters selected: date range, satellite, percentage cloud cover.

Changes to the algorithm have enabled the quality of coverage to be significantly enhanced:

Sentinel-2 - before

Sentinel-2 - after

– combined data sources Landsat 8 and Landsat 8 TOA.


Landsat 8

Landsat 8 + Landsat 8_TOA