Weather news

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 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.

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.

NEW! Agro API - service for Agriculture

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.

Temperature and Soil Moisture. Their Interaction and Effect on Plant Growth

Temperature and Soil Moisture. Their Interaction and Effect on Plant Growth

Crop farming covers around 40% of the globe and uses 85% of its fresh water.
Often, in countries where agriculture constitutes the principal occupation of farmers, due to drought and overpopulation, they find themselves in a constant battle to maintain everyday resources such as food and water etc. In such cases, productivity and crop prices assume critical importance. And they, in turn, depend primarily on atmospheric factors and soil conditions.

Our new office in Riga

Our new office in Riga

By the way, we really like our new office in Riga!
The view from our window to snow-covered tiled roofs of the Old City has been pleasing us even during the snowy European winter.
We have not yet managed to arrange all the furniture, but we already admire what surrounds us

Meteorological and Climate Indices for Assessing the Effects of Weather Events on Agriculture

Meteorological and Climate Indices for Assessing the Effects of Weather Events on Agriculture

During the entirety of their lifecycle, crops are affected by a whole range of factors, the greatest influence being exerted by weather events. These have a significant and occasionally decisive effect on the size, quality, and timeliness of a harvest and, consequently, on its value.
There exist a large number of indices for assessing this effect, including both direct measurements and the results of calculations.
Currently, the main source of information is complex weather models based on the mathematical processing of large amounts of data collected from tens of thousands of stations around the world as well as the data received from satellites.

UV-index as an indicator of UV radiation’s effect on improving productivity within agriculture

UV-index as an indicator of UV radiation’s effect on improving productivity within agriculture

Solar radiation is the main source of energy for all processes, which occur in the atmosphere and on the Earth’s surface. Its intensity has a profound impact on the chemical composition of plants, and subsequently, on the quality of agricultural crops. As to whether these changes – caused by an increase or decrease in the flux of UV radiation – are significant or insignificant or indeed constructive or harmful, depends on many factors.  

On the one hand, UV radiation favorably influences the life cycle of plants, it boosts the intensity of photosynthesis processes, facilitating the production of chlorophyll and nutrient absorption.  

On the other hand,  excessive UV exposure can cause protein degradation in leaf cells, leading them to die. Plants possess the ability to repair damaged DNA while several are able to protect themselves from synthesizing absorbed ultraviolet light pigment and from changes to key metabolic enzymes.    The danger occurs when the dose of radiation causes damage which exceeds a plant’s regeneration capabilities.   The damage leads to a decrease in crop yields, fertility, commercial quality and severe consequences, such as changes weed-crop synergies.

VANE Platform News: timeline function

VANE Platform News: timeline function

• To make searching for images easier, a timeline function has been added. This means that images for a period in question, specific dates, or as near as possible to them, can be quickly found and examined. Cloud cover metadata allows you to evaluate beforehand how useful the photos are and to choose the most appropriate ones. This function is available for images from Landsat-8 (l8), Sentinel(se) and RapidEye (re).

• Added to the contour drawing mode is the capacity to create several polygons there and then and enter the coordinates textually (geojson).

Using historical data to reduce losses caused by negative weather events

Using historical data to reduce losses caused by negative weather events

However rapid the pace at which technology evolves, more often than not, the surrounding reality remains the same. While one automobile is being launched into a heliocentric orbit, another is being dug out of a snowdrift with a trusty old shovel. And while the design of the shovel has changed many times in terms of style, high tech doesn’t change what essentially it is.
This is especially noticeable when we encounter climatic and meteorological phenomena which seriously complicate life and which can, in some cases, destroy it.
Unfortunately, at the present time, our influence over the weather is restricted predominantly to our polluting of the environment. Or otherwise to dispersing clouds over the city on public holidays.