New API for accumulated temperature and precipitation data!

New API for accumulated temperature and precipitation data!

We are happy to announce our new APIs based on historical data and focused primarily on users from the agro-sector. API for accumulated temperature data and API for accumulated precipitation data.
Accumulated temperature data is an index that denotes an amount of warm. This index is determined as a sum of average daily air and soil temperatures which exceeds a definite threshold of 0, 5, 10 degrees or a biological minimum of temperature level which is crucial for some specific plant.
Accumulated precipitation data is calculated as a sum of all parameters for a peculiar period.

Accumulated precipitation data for agriculture

Accumulated precipitation data for agriculture

Precipitation, mostly rains, has a huge impact on agriculture. For the growing all the plants need a smallest amount of water at least, and rain is still one of the most effective ways of watering despite the development of modern technologies. Too much or otherwise too little precipitation is bad and even harmful for agricultural plants. Drought can destroy the harvest and can increase erosion as well as the overly humid weather is able to trigger a growth of unfavorable fungi. Moreover, various kinds of plants demand different amounts of precipitation. For example, some succulent species require little water while tropical plants need hundreds of inches of rain a year just to maintain their living.
A fluctuation of precipitation amounts is quite substantial in continental climates. A fluctuation of month amounts is bigger than those of year. A considerable precipitation variation leads to situations when there is a precipitation lack during some years, and drought takes place thus forming the areas of unstable hydration. With a long absence of rains and at high temperatures the reserves of moisture in the soil dry out due to evaporation. A previous arid season brings a shortage of a crop yield even in a humid season as the harvest lacks time to ripen. Thus disadvantageous conditions for an ordinary plant development are established, and a crop yield of agricultural plants decreases or perishes.  
Along with precipitation amounts, the number of days with precipitation a month or a year is also a significant climatic index. Plants are sensitive about a matter whether a given precipitation amount falls at once during only several days or it rains often and a precipitation amount is distributed comparatively evenly throughout a month. For instance, even one great downpour in a prairie area in summer has a little ability to improve an arid situation.
Employing a data set of a precipitation amount and a number of days one can calculate an accumulated precipitation amount for any region during a specific period of time.

Accumulated temperature data for agriculture

Accumulated temperature data for agriculture

Temperature, and especially accumulated temperature, is an important factor and it plays a fundamental role in agricultural productivity. Plants and insects develop in accordance with temperature. The warmer weather, the faster they grow and reproduce, and otherwise, the colder, the slower the processes go.

All species have a biological minimum of a temperature level, and the development does not take place at all below this level. When temperature of environment begins to exceed this minimum level, it gives a start to growth and reproduction. The value of this basic temperature (or a development threshold) has a crucial significance, and it differs for a definite species of plants and insects.

Accumulated temperature (AT) represents an integrated excess or lack of temperature regarding a fixed starting point. This index is calculated as a sum of average daily temperature of air and soil, which exceeds a certain threshold of zero, 5, 10 degrees or a biological minimum of a temperature level.

Basically speaking, this is a way to include temperature and time into one dimension for quantitative evaluation of growth speed of plants and insects. Usually the index of accumulated temperature data is used to create models of crop growth.  
In the near future we will introduce our new API for the accumulated temperature data. API will be based on historical data and will be focused primarily on users from the agricultural sector.  

We are happy to announce that one of our products - API for UV-index has got significant improvement

We are happy to announce that one of our products - API for UV-index has got significant improvement

We are happy to announce that one of our products - API for UV-index has got significant improvement.    
- Now besides current and historical data, you can also get UVI forecasts for periods of 8 days.    
Syntax has got considerably easier,  it has become clearer and more unified like other APIs version 2.5.  
- There is a new feature to request data on any geographic coordinates without limits on accuracy.
Accuracy of UVI modeled data has been increased twice (the interpolation grid step decreased from 0.5 to 0.25 degrees).      
- Soon the support of search by city name, city id and zip-code will be available. 

You can find the instructions for the updated version here http://openweathermap.org/api/uvi 

Please pay attention that during 2 weeks UV-index data will be in open access.  Further, access to this data will be available only for paid plans starting from Developer. For more information on our plans please visit  http://openweathermap.org/price

The previous version of API (http://openweathermap.org/api/old-uvi) will be announced deprecated soon, and no support will be provided for this version.

How to make online products on satellite images and integrate them to agricultural applications

How to make online products on satellite images and integrate them to agricultural applications

Hello, everyone!
We have good news for you)
How to make online products on satellite images and integrate them to agricultural applications.
It is a scope of workouts that might be useful for precision agriculture applications. You can learn how to query satellite images to form scenes in RGB, NDVI with any color scheme with flexible customization of any parameters for any crops. Just integrate any query into the application to get instant result.
http://owm.io/cases/agri

Weather risk management on agricultural market through index-based insurance and weather data

Weather risk management on agricultural market through index-based insurance and weather data

In recent years, the problem of decreasing productivity of agriculture has arisen sharper due to climate change and long-term weather fluctuations; there is even the threat of famine in some countries, which are more dependable on crop productivity. This problem can be solved with traditional and known for centuries tools, i.e. by expansion of sowed land through deforestation.

Simultaneously, the intensification of manufacturing or the expansion of cultivated land into previously wild areas can lead to additional emission of greenhouse gases due to the removal of trees and also these processes can increase the amount of used fertilizers. These both actions are factors contributing to climate change and appearance of negative weather phenomena such as drought.

Financial impact of changing climate on agriculture

Financial impact of changing climate on agriculture

Recent years agriculture experiences much heavier losses caused by changing climate and alterations in global middle-season temperature. Even a small rise or drop of usual temperature takes a toll on yield, productivity and profitability of agricultural sector. In such situations both manufacturers and consumers of products undergo some difficulties.    

Profit and losses of manufacturers and consumers differ significantly depending on their location; mostly this burden comes to developing countries since they have much dependence on yield productivity and it’s more difficult for them to adopt changes.      

The role of agrosystems in air pollution: satellite technologies suggest a solution

The role of agrosystems in air pollution: satellite technologies suggest a solution

Recently the issue of environmental pollution and of its consequence such as global warming has been highly discussed at different levels from mass media to heads of governments. United Nations conference on climate change which took place in Dec, 2015 in Paris, France obliged countries that use hydrocarbon fuels to decrease emission of greenhouse gases to the atmosphere, and this fact correlates with world economics looking toward implementation of use of renewable fuels. However this process is unacceptable and almost impossible for many countries at the moment. It goes without saying for such countries as Saudi Arabia, Venezuela and India, and even in the USA this decision of the Paris climate summit found its opponents.The denial of vital questions of climate change and global warming is similar to practice of "burying the heads in the sand." These issues do exist and take their toll on world economy not in the best way.

Impact of climate change on agriculture: problems and their solutions

Impact of climate change on agriculture: problems and their solutions

It is not news nowadays that the climate on earth is changing. And this change is not a long-term prospect, this is a process happening here and now. Consequences of it one can observe in this day and age. Climate change has a global impact on the human environment, nature, wildlife. And surely it also takes its strongest toll on economics. Agricultural sector turns to be the most vulnerable one to climate change. Many agricultural plants, on manufacture and market sale of which economics of some countries and large sectors of world trade are based, are extremely susceptible to weather changes; unexpected climate changes, not to mention here a process of global warming, can affect production of these plants in the most disastrous way. In its turn this process can directly influence the majority of population of export countries, where cultivation of these plants is basically the only source of income, and in some cases the main element of the food supply.

Use of satellite technology for decreasing risks in agriculture. NDVI index.

Use of satellite technology for decreasing risks in agriculture. NDVI index.

The exploration of outer space and launching of satellites started in the 1960s. Having some romantic flair in the beginning, the satellite story went on and nowadays satellites are launched often and almost everywhere around the globe and their number is going to grow in the future. Together with that, a new question arose, what to do with a bunch of new information received? A huge lot of information has been gained in the satellite era, but its practical appliance can be seen only in certain spheres of economics.