Weather news

Examples of VANE Language: RGB

Examples of VANE Language: RGB

One of the simplest operations is to generate RGB map. Here an image consists of Bands 4-3-2 which correspond to the well-known RGB color model. Red, green and blue spectra combine together for creation of full color images.

Examples of VANE Language: Fire detection

Examples of VANE Language: Fire detection

Detect areas that were deforested after fire by simple coding of burn index and apply it to chosen area and data of events. You can easily compare images before and after fire by getting visual result immediately.

http://owm.io/beautiful-vane

OpenWeatherMap presents the release of the VANE Language service

OpenWeatherMap presents the release of the VANE Language service

OpenWeatherMap presents the release of a new service the VANE Language (former imagery API) with examples: http://owm.io/vaneLanguage 
Initially, we called it Imagery API but finally understood that this service is much bigger than just API calls. Language is a proper name for this service. It is like an SQL for satellite images. Something unique on the satellite market.The Language is entirely online service, there is no any manual procedures or presets like maps prepared in advance. 

One image that we receive from Landsat8 is not an image in common understanding but several layers that have to be processed and merged somehow before you can do anything with it. The weight of each unarchived number of bands is around 2 Gb, and obviously, it takes a lot of resources and time to process it. E.g to make a global map you need around 10,000 images that should be processed and merged. With VANE Language developer does not worry about time-costly pre-processing because we do it online immediately. We give him a powerful tool that is familiar to any developer and hides all complexity. In a short word VANE Language gives a full flexibility for a developer to do with images whatever they want and deploy result into applications. VANE also have a unique feature of configuring the formula of image processing. Means that developer can set up his logic of processing of the image to make specific vegetation indexes, false colors and any other images that he can use for analysis of objects, changes, yield health, etc.

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.      

Modern approach to use of weather data in effective marketing

Modern approach to use of weather data in effective marketing

Recently the approach to marketing has greatly changed. Simple broadcasting of information about goods and services, even in the most whimsical of forms, is getting out-of-date quickly. At the moment those companies are the most successful who experience a flexible approach towards using of information, both current and historical.

Regulation of energy on the basis of weather data and weather forecasts

Regulation of energy on the basis of weather data and weather forecasts

The electric power industry is likely to be the most weather sensitive sector in the world modern industry. Insurance against the risk of loss caused by natural fluctuations in weather condition has become a usual practice at the end of the last century.

Nowadays, due to the planet’s growing population the question of regulation of power consumption is started to increase its significance.

Weather risk insurance contributes to the steady economic situation while energy saving and control of power consumption provide cost saving and slow down the wasting of energy resources that all in all help to reduce the negative impact on the ecology of the planet.

Weather risk management in retail

Weather risk management in retail

Daily news mass media readily inform people about numerous natural disasters happening throughout the world. Such extreme weather conditions as floods in India and Louisiana, severe drought in California paralyze the life of entire states and have a harmful impact on the economy.


Weather risk management in the electrical power industry

Weather risk management in the electrical power industry

Risk management is an opportunity to prevent risk emergence, as well as to mitigate negative effects of different adverse situations. Weather risk is related to physical phenomena which can influence performance of a company and which cannot be controlled from company's side.

Influence of weather conditions on the electrical power industry

Influence of weather conditions on the electrical power industry

Weather phenomena have a substantial impact on safe operation of power systems, on modes of power generation and power consumption.

Influence of weather conditions on the electrical power industry is diversified. Here can be mentioned power lines as quite vulnerable objects. Power lines are affected by significant fluctuations in temperature, by ice and wind loads, by rapid freezing of wet snow, by showers and thunderstorms. Due to wind and ice there were cases of wire break on long distances of tens of kilometers, and also there were collapses of power lines supporting constructions. Thunderstorms can affect operation of urban substations, putting transformers and high-voltage equipment out of action.

Uncontrolled weather and controlled weather risks

Uncontrolled weather and controlled weather risks

Weather is changing and will continue to constantly, it cannot be stopped and there is nothing to do about it. Weather activities happening in the past few years speak for themselves: tornado in the southeast of the United States at winter time, unusual droughts, and exceptional outbreaks of extremely cold arctic weather in the northern part of the country.