среда, 12 октября 2016 г.

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.    
Dense population in the regions whose economics are in direct correlation with agricultural productivity, low income, lack of social protection, and limited opportunities of risk management – all these factors make the consequences of climatic change really devastating: thousands of people can lose their livelihoods, and the threat of famine for the whole countries is no longer the illusory in the coming decades.
However it would be a big mistake to consider that this disaster can happen only to agrarian countries. Shortage of crop can affect the entire agricultural supply chain and bring substantial losses to companies and corporations throughout the world:
  • bulk companies may not be able to use its infrastructure to the full capacity, as a result, they will be likely to face a reduction in operating income, and in severe cases, they will be unable to cover their fixed costs;
  • providers of logistics services may be unable to generate enough revenue to cover their fixed costs;
  • manufacturers may get non-fulfillment of sale contracts in a supply chain since they cannot provide previously agreed amount of agricultural products, and as a result, traders will have to purchase additional amount of  products at market prices;
  • due to a drop in sale volume manufacturers of agricultural equipment may suffer as  agricultural manufacturers cannot afford to invest in more modern technologies.  
And as an overall result, the majority of costs have to be covered by ordinary consumers who will have to pay more for food basket.

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

вторник, 11 октября 2016 г.

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.