OpenWeatherMap is happy to announce good news for owners of private weather stations! We are launching a new version of Weather Stations API 3.0. Now there are more easy ways to manage your stations and transmit its data. http://openweathermap.org/stations-30
Weather maps: Rain modeling areas rendered by the VANE openweathermap platform
Maps is a very visually intuitive way for analyzing large-scale weather phenomena like cloudiness, pressure, rains, observing it in dynamic etc.
Maybe you’ve already tried to play out with our “Map Editor” tool - custom styled maps renderer that provides tile layers based on every 3 hr constantly updatable weather data sets.
We have just launched beta Jupyter notebooks on our VANE platform! Now you can test your data science algorithms on Landsat8 satellite imagery. Weather and IoT are coming soon! http://owm.io/jupyter/start
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.
Our booth is A191
Let's meet at Web Summit in Lisbon https://websummit.net!
See you on OpenWeatherMap stand A 191 in the Big Data Exhibition Area of Pavilion 3 on Wednesday, November 9.
These are maps, which you can compose by a combination of any three bands. For instance, use SWIR (band 7) instead of the red spectrum (band 4) and use NIR (band 5) instead of the green one (band 3), then you will get a map of land victimized by fire (See Fire detection, above).
To get a map of a necessary color, just choose a combination of bands and you will find out what it looks like to see the world through eagle or wolf eyes.
The NDVI is a major vegetation index for the agricultural industry and farming, and with VANE Language you can customize a colour scheme to get a proper picture. Here in contrast to just the NDVI option a user can set a color scale and define the colors of zones.