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

Satellite images API is the dataset from the Landsat8 and Sentinel2 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. Satellite images API, 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.

TRUE color

Paddy fields in Pangasinan province, Philippines

Using the NDV index enables the field boundaries to be clearly discerned

With NDVI, the sections of the fields are displayed as barren, in white color. In the False color regime, it can be seen that part of them is waterlogged.

NDVI

Rice terraces in Tuguegarao province, Philippines.

 The EVI image looks clearer 

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.

The full set of the AGRO API capabilities can be seen here 

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

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.

What we offer:

About Agriculture API
Our product comprises a set of straightforward and user-friendly APIs which are easy to embed in farming applications. Each API is dedicated to its own particular area which means the user can be flexible about how often the data is updated and receive only information that is necessary.
By using our satellite and weather data, the user can assess the condition of farmland in real time and start planning.
This product is also geared toward the insurance and banking sector and can be used as a farm rating tool.
We provide the full range of data from satellites and weather stations for monitoring the condition of farmland and for making subsequent decisions.
All data processing is carried out online

Weather: Current, Forecast, History
Air temperature, humidity, wind speed, etc.. We provide not only current readings but also historical data for analysis and weather forecasts.

TSOIL & MSOIL: Temperature and Soil Moisture
Crucial indices allowing you to adjust irrigation work and prevent crop root damage

PA & TA: Accumulated Temperature and Precipitation
Temperature quantity index, expressed as the sum of diurnal temperatures exceeding a set threshold. Humidity quantity index, expressed as the sum of precipitation . This data is essential to decision-making regarding the date and favorability of conditions for sowing important crops.

NDVI & EVI: Normalized Difference Vegetation Index & Enhanced Vegetation Index
One of the most common indices allowing assessment of vegetation cover. We provide
current and historical data to allow analysis of vegetation growth rates and subsequent forecasting.

UV index: Ultraviolet Index
UV radiation has a direct effect on plant photosynthesis. Short-wavelength UV light in small quantities can increase the growth of certain types of plants and have a beneficial effect on further development, while constant exposure to medium-wavelength UV can kill crops. This index is useful for a complete analysis of potential agricultural land.

TRUE & FALSE Color:
Mainly used to visualize vegetation cover and differentiate it from urban land and any land not used for agricultural purposes. With these images it is also possible to distinguish between different types of vegetation.

Weather data can be requested both for a particular point and for a polygon*.
We are offering you the chance to try out our free package. All you have to do is set up a user account** and you will receive a personal API key.
We have also put together paid services as part of which the user is provided with a wider range of functions, which you can find out about here

* Currently, as part of the existing paid packages, we are providing data that is of the utmost relevance to agribusiness. Other territories can be added upon request.
** Users who are already registered can use their username and password for their new account 

NEW! Agro API - service for Agriculture

OpenWeatherMap 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 sector and can be used as a farm rating tool.

As part of this product, we are providing an API for receiving weather data (current weather, forecasts and history), satellite data (current and historical) and weather and vegetation indices based upon this.  As well as the data we already provide in other products, here we have added specialized agricultural indices such as soil temperature and moisture, accumulated temperature, cumulative precipitation and satellite data*: images from space and vegetation indices (EVI and NDVI) based upon them. Weather data can be requested both for a particular point and for a polygon. Find out more here.
We are offering you the chance to try out our free package. All you have to do is set up a user account** and you will receive a personal API key.

We have also put together paid services as part of which the user is provided with a wider range of functions, which you can find out about here

* Currently, as part of the existing paid packages, we are providing data that is of the utmost relevance to agribusiness. Other territories can be added upon request.
** Users who are already registered can use their username and password for their new account

We look forward to your feedback and comments! We will be glad to answer any questions you might have.