06 Aug 2018
Dive into Agro API | Part 2 - Polygons
06 Aug 2018
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).
09 Jul 2018
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.
24 May 2018
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.
16 May 2018
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.
07 May 2018
Helping farmers manage their enterprises: weather and satellite APIs for agroservices
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.
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.
23 Apr 2018
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.
12 Apr 2018
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.
28 Mar 2018
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.