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.

Satellite images API

Satellite images API

Today, we would like to look in more detail at one of the essential elements of our Agro API, Satellite images API. 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 color, NDVI, and EVI

We provide a 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 satellite 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.  Learn more.

Please note that there are limitations on the total area for which data can be requested as well as the number of requests that can be made 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 do not run and hide!*

All of the details and the full set of the Agro API capabilities can be viewed here.
As always, we would be glad to hear your remarks 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.

Helping farmers manage their enterprises: weather and satellite APIs for agroservices

Helping farmers manage their enterprises: weather and satellite APIs for agroservices

Objectives:
As farms mainly consist of crop fields, which can be hundreds of acres in size, much time and 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 fertilizers, 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 maximize 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 neighboring 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, Agro API, with universal and simple syntax.