Dashboard update: Current and historical soil data

Dashboard update: Current and historical soil data

The OpenWeather team is pleased to announce that we continue to expand the functionality of our Dashboard.

World Observation Business Week in Paris

World Observation Business Week in Paris

OpenWeather participated in one of the most significant conferences in the industry - World Observation Business Week in Paris

We have integrated time zones into our weather API products!

We have integrated time zones into our weather API products!

The OpenWeather team is pleased to inform you that we have successfully integrated time zones into our weather API products.

Dashboard update: Accumulated parameters and weather history

Dashboard update: Accumulated parameters and weather history

The OpenWeather team is pleased to inform you that once again we have significantly expanded the functionality of our Dashboard

Visualisation of the NDVI index on satellite maps. Custom palettes for agricultural applications.

Visualisation of the NDVI index on satellite maps. Custom palettes for agricultural applications.

For developers of agricultural services or applications, we offer several predefined color palettes.

Statistical Weather Data API is now available!

Statistical Weather Data API is now available!

Statistical Weather Data is an API that can provide its users with aggregated statistical weather data for cities.

Climate API: Climate forecast for 30 days

Climate API: Climate forecast for 30 days

We are glad to introduce our users to a new product which is based on a statistical approach to our historical weather data.

The second version of our updated Dashboard: Weather data!

The second version of our updated Dashboard: Weather data!

Now you are able to use our Weather data in addition to the functions which are already implemented in the Dashboard.

Our New Weather Product - Hourly forecast!

Our New Weather Product - Hourly forecast!

The OpenWeather team is pleased to present you our new product, Hourly forecast


The first version of our updated Dashboard!

The first version of our updated Dashboard!

We are pleased to inform you that we have launched the first version of our updated Dashboard!

Our team is actively developing a new version of the Agricultural Dashboard!

Our team is actively developing a new version of the Agricultural Dashboard!

The main purpose of the significantly advanced version of Dashboard is to visually demonstrate you all data that we provide in our Agricultural API 

Data from Modis in VANE platform!

Data from Modis in VANE platform!

The OpenWeather team is pleased to present a new source of current data for the VANE platform service from two Modis satellites: Terra and Aqua.

Weather map 2.0 and Relief maps. #1 Description of products

Weather map 2.0 and Relief maps. #1 Description of products

Weather map 2.0 and Relief maps are products that allow developers to add weather and relief maps to their applications using simple URL requests. 

Satellite imagery API | Part 5 -  How to get your polygon in GeoTIFF format with "data"?

Satellite imagery API | Part 5 - How to get your polygon in GeoTIFF format with "data"?

This is the fifth article from the series Satellite imagery API.

How to move from Weather Underground to OpenWeather

How to move from Weather Underground to OpenWeather

OpenWeather will help you easily and quickly move to our Weather API for anyone who has  affected from the Weather Underground API closing.

OpenWeather 2018 Results of the Year

OpenWeather 2018 Results of the Year

So the new year 2019 has come and it's time to sum up the results of the past year for our company, OpenWeatherMap, provider of one of the best weather APIs in the world.

Satellite imagery API | Part 4  - How to get metadata and statistics of your polygon?

Satellite imagery API | Part 4 - How to get metadata and statistics of your polygon?

Satellite imagery API allows you to get NDVI and EVI vegetation indices for your polygon. You can get this data in the form of an image or in numerical form.

OpenWeather team announces Relief maps!

OpenWeather team announces Relief maps!

Relief maps allows you to get relief maps around the world. Set the position of the sun in parameters and you will receive precise illumination of the earth’s surface and its relief for conditions set.

Satellite imagery API | Part 3  - How to get tiles with your polygon in PNG format with "tile"?

Satellite imagery API | Part 3 - How to get tiles with your polygon in PNG format with "tile"?

Satellite imagery API allows you to get satellite data in the form of a tile containing your polygon in PNG format.

OpenWeather team announces Weather maps 2.0!

OpenWeather team announces Weather maps 2.0!

OpenWeather team announces Weather maps 2.0* where now you can work not only with current weather layers but with historical and forecast maps! 

Dashboard for Agricultural Monitoring

Dashboard for Agricultural Monitoring


Dashboard for Agricultural Monitoring is a service created for visual demonstration of a satellite data (NDVI) and weather data (forecast, historical & accumulated parameters), which you can get for the area of your interest (for your polygons). 


Satellite imagery API | Part 2 - How to get an image of your polygon in PNG format?

Satellite imagery API | Part 2 - How to get an image of your polygon in PNG format?

 Satellite imagery API allows you to get a processed image from the satellite of your polygon 

Satellite imagery API | Part 1- Why Satellite imagery API? How to work with Satellite imagery API?

Satellite imagery API | Part 1- Why Satellite imagery API? How to work with Satellite imagery API?

It was not easy to work with satellite imagery and use them in applications. You had to have deep expertise in the satellite imagery area and have access to massive computing capacity. Fortunately, now these data are available in a much easier way through our APIs.

Query Builder Palette

Query Builder Palette

When you work with single-channel images, you need to focus in depth on a narrow range of values and clearly evaluate researched data.

How to get free satellite imagery from Sentinel-2

How to get free satellite imagery from Sentinel-2

If you want to download Sentinel-2 satellite data, then you’ve come to the right place! Our Satellite Images API was created exactly for this purpose.

Dive into Agro API  |  Part 2 - Polygons

Dive into Agro API | Part 2 - Polygons

This article is a step-by-step description of of how to work with polygons using our instruments QueryBuilder and Agro API. The previous part explained to you how to use your personal account of the OpenWeather company, be sure to use it before starting to read this article.

How do we process satellite imagery so that customer can operate with Ready-to-use Data

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).

Dive into Agro API | Part 1 - Personal Account

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.

Satellite Images API for Agriculture: NDVI, EVI, TRUE and FALSE color

Satellite Images API for Agriculture: NDVI, EVI, TRUE and FALSE color

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.

Weather and satellite APIs for precision farming

Weather and satellite APIs for precision farming

Objectives:
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.

Solutions:
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.

It is exactly to provide these services that OpenWeather offers a wide range of APIs for different weather and satellite data combined in the one product, Agro API, with universal and simple syntax.

NEW! Agro API - service for Agriculture

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.

Temperature and Soil Moisture. Their Interaction and Effect on Plant Growth

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.

VANE Platform - The Polygon tool

VANE Platform - The Polygon tool

An example of one of the services for agricultural applications offered by VANE has now been added to the Query Builder interface.

The Polygon tool allows you to isolate any outline you want in the photograph, process the satellite images in RGB and EVI, and arrange any color palette with any scale for a specific area.
It is possible to edit it, obtain data on the depicted polygon and download it from the geojson file.

 Then you can get the URL with the assembled polygon and copy it to your site

VANE Platform News

VANE Platform News

- the filter algorithm for selecting BEST coverage tiles has changed.
BEST - is the method for overlaying images (parameter value order), and is the best way possible, depending on the parameters selected: date range, satellite, percentage of cloud cover.
Changes to the algorithm have enabled the quality of coverage to be significantly enhanced:

Sentinel-2 - before

Sentinel-2 - after

- combined data sources Landsat 8 and  Landsat-8_TOA


Landsat-8

Landsat-8 + Landsat-8_TOA

OpenWeatherMap 2017: Results of the Year

OpenWeatherMap 2017: Results of the Year

So the, new year, 2018 has come, and it's time to sum up the results of the past year for our company, OpenWeatherMap (UK, US and Latvia), developers of one of the best weather APIs in the world.
A lot happened and much has changed.
During the year, our number of users grew from 600,000 to 1 million. We participated in the Startup Grind Global Conference in Silicon Valley where the team from OpenWeatherMap was named in the top 50 Startup Exhibitions of 2017. Our mature team was filled up with excellent professionals and wonderful people.
We did a lot of new things and qualitatively improved our current developments.
In 2017, we were pleased to present to you:

Weather data: API and Weather Maps

  • The Open Dashboard for Agricultural Monitoring
     can help give you an idea of the possible use for meteorological and satellite data in your agricultural applications.
  • Specially for the agriculture sector, we launched an API for accumulated temperature data and an API for accumulated precipitation data.
  • The Weather Historical Bulk service.
    Now you can simply choose a city (or several cities) and download an archive, which contains bulk file with the weather history up to 5 years - any day, week or even several years.
  • A new and improved version of an API for UV-index
     

    Throughout the entire year, we worked constantly on our history weather API. For this year, the amount of data supplied and speed to process that data increased significantly. Also, we made it possible to quickly upload data in a format that doesn’t require additional processing and can be understood by any user.
    Our Weather Maps app changed qualitatively.
    This year, we added the ability to switch the layers of weather and satellite maps, create various combinations with them, and connect them to mobile and web apps.

Satellite data: Vane platform

This year, we significantly improved our satellite platform. Our team undertook a huge amount of work and in June were able to present  a new version  of the satellite image processing  platform VANE.

Based on the Vane platform, we developed a new product called  Global Satellite Base Map, which uses visual tools and query language to generate a map from satellite images. The uniqueness of the product is that all data processing is done on the fly, and there are no presets or pre-made calculations. The user defines the parameters for a calculation and image processing and immediately receives a result for any territory. This capability was only possible thanks to Vane, our super powerful data processing platform.

We recently presented you with Query Builder, our new interface for the Vane platform. Now you can use this simple tool to create your own map in just a few seconds, and with just one click receive a completed link for display on your site or app using a web map library like Leaflet, Open Layer, Mapbox and Google Map.

We are grateful to everyone that worked with us for all this time. We thank you all your feedback and for not getting bored by our tech support.
We have a ton of plans for the coming year. Stay tuned, and you will see a lot of the new and interesting things to come. Subscribe to our Telegram Channel https://t.me/openweathermap and get news first about our updates and new products!

Cloudless: global cloudless composite coverage based on the VANE Platform

Cloudless: global cloudless composite coverage based on the VANE Platform

In the drawing is global coverage obtained between 06.01.2017 and 09.01.2017 using data from the MODIS spectroradiometer aboard KA Terra and Aqua.

The current cloudless coverage of the Earth by medium and low-resolution satellite images are an important element in the regional and global systems that monitor the territorial changes caused by natural and man-made factors. For example, assessing the damage inflicted by forest fires caused by deforestation, volcanic eruptions, flooding,etc. Also, such types of coverage are popular as the base layer for cartographic web services.

The main stages of creating such coverage are: the selection of images, expert as a rule, the masking of clouded areas, tonal adjustment of images taken at different times of the year, and pasting them into single coverage using so-called “cutlines” which enable, to a certain extent, the joins between the pasted images to be hidden. Such operations, as a rule, are carried out in semi-automatic mode and require specialized software and highly qualified experts, which substantially increases both the time taken to create such a product and its cost.

Weather widget’s new geolocation and weather map functionality

Weather widget’s new geolocation and weather map functionality

We invite anyone wishing to do so to try out our weather widget’s new geolocation and weather map functionality - https://openweathermap.org (please note that HTTPS in the URL is required), which can be targeted to the user’s specific location. 

You are invited to test the new web interface Query Builder for our Vane platform

You are invited to test the new web interface Query Builder for our Vane platform

You are invited to test the new web interface Query Builder for our Vane platform.
You can use this simple tool to create your own map in just a few minutes, and with just one click receive a completed link for display on your site or app using a web map library like Leaflet, Open Layer, Mapbox and Google Map.

This version is an improvement over the previous one in terms of simplicity of use and layout. The user can select either one of the available data sources and the required combination of spectral bands or one of the derivative index products such as NDVI, EVI, etc. You can also set up display parameters, including clarity, contrast and gamma correction, or use one of the available schemes provided. After that, all you need is to get an API key and insert it in the prepared link, and you can use it in your programming product.
We are ready to answer your questions and will be glad to hear any proposals you might have.

The influence of temperature on plant productivity in agriculture. Accumulated temperature.

The influence of temperature on plant productivity in agriculture. Accumulated temperature.

Accumulated temperature is a weather parameter which directly influences productivity of agricultural plants. All biological and chemical processes taking place in the soil are connected with air temperature. Heat supply of crops is characterized by a sum of average daily air temperatures that are higher than a biological minimum during a vegetation period. Both too high and too low temperatures spoil a course of biochemical processes in cells, and irreversible changes can be caused that lead to a stop of growth and death of plants.

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.

We extended the list of supported languages for weather conditions.

We extended the list of supported languages for weather conditions.

Do you want to receive weather data in your language? We extended the list of supported languages for weather conditions.
Now in our API the following languages are available:

Arabic (ar); Czech (cz); Greek (el); Persian(Farsi) (fa); Galician (gl); Hungarian (hu); Japanese (ja); Korean (kr); Latvian (la); Lithuanian (lt); Macedonian (mk); Slovak (sk); Slovenian (sl); Vietnamese (vi).

We invite all our users to test translations for weather conditions in different languages. We will be happy to extend our language support according to your wishes. If you have any questions or suggestions - please send them to https://openweathermap.desk.com/. The specification for all weather conditions in English is available here: http://openweathermap.org/weather-conditions

New styles for weather maps API

New styles for weather maps API

We added new version of rendering styles for Weathermap API.

To get weather map layers in new predefined styles you need to add _new to the appropriate layer name like the following:

http://tile.openweathermap.org/map/{layer}_new/{z}/{x}/{y}.png?appid={api_key}
History Bulk documentation

History Bulk documentation

For your convenience while working with our historical data we have created History Bulk section at OpenWeatherMap.com. There you can find a manual on data extraction for different time periods and cities, also there are examples of data extraction in JSON and CSV file formats and description of weather parameters.

Weather Historical Bulk is launched!

Weather Historical Bulk is launched!

We are happy to introduce you our new service which provides weather historical data for more than 30,000 cities for the last 5 years.

Now you can simply choose a city (or several cities) and download an archive, which contains bulk file with the weather history up to 5 years - any day, week or even several years. Pricing is simple and easy - just $10 for one city, no matter how much data will you receive http://openweathermap.org/price. Just sign in and place an order on your personal page https://home.openweathermap.org/history_bulks/new. Please note that our traditional History API stays the same.

How to know what particular imagery do you get from VANE Geospatial Platform

How to know what particular imagery do you get from VANE Geospatial Platform

The one of the ideas of VANE platform - no need of search by scenes and footprints. It is based on a simple assumption: each location in the world has metadata - click on any location and get information about all pixels containing this location. Such projects as cloudless atlases and Google base satellite maps are created according to this basic principle, stitching best imagery pixels in one seamless mosaic. According to scenes metadata VANE can preliminary compile the best satellite cover - users need to set up a parameter order=best for this operation. Even more, VANE language allows you to set up further requirements for your mosaic, providing appropriate parameters in your query - meaning: no older than (day>{yyyy-mm-dd})… or put all last imagery on the top (order=last)... or within the specific time interval (between({yyyy-mm-dd}:{yyyy-mm-dd}))…
Than you can go further, applying your custom colors to the result mosaic, according to VANE language specification.

Just to demonstrate this principle in work we’ve launched a very basic application called Finder.

Weather alerts from OpenWeatherMap

Weather alerts from OpenWeatherMap

We invite you to try our new product - the weather alerts which are based on our meteorological data.

Now you can use simple syntax and a few methods of the API to create triggers which will be working upon the occurrence of specified weather conditions (temperature, humidity, pressure, etc.) in a certain period of time. For example, if you are interested in the forecast of approach of frosts or probability of strengthening of wind in a certain place, then you can get this information by using our new tool. More detailed description of work with service is given below.

The alerts will be generated in our service after performing conditions of the trigger. It is necessary to poll service with a certain interval of time to receive it. In the future we are planning development of this direction, addition of push-notifications and new data sources.
http://openweathermap.org/triggers

Weather Alerts structure
http://openweathermap.org/triggers-struct

Satellite imagery: Landsat 8 and its Band Combinations.

Satellite imagery: Landsat 8 and its Band Combinations.

In the current version of VANE Language, we use images from Landsat8 satellite which captures the Earth’s entire surface every 16 days. The satellite makes hundreds of images with a unique name for each one like LC81410552016219LGN00 and a pixel size of 30 meters, each image consists of 11 bands, the size of the uncompressed image is 2 GB.
Landsat 8 Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) images consist of nine spectral bands with a spatial resolution of 30 meters for Bands 1 to 7 and 9. New Band 1 (ultra-blue) is useful for coastal and aerosol studies, and also new Band 9 is applicable for cirrus cloud detection. The resolution of Band 8 (panchromatic) is 15 meters. Thermal Bands 10 and 11 provide more accurate surface temperatures and are collected at 100 meters. Approximate scene size is 170 km north-south by 183 km east-west (106 mi by 114 mi).
By default, we get B2, B3, B4, B5, B7, but it is possible to download any other bands

Weather Stations API 3.0

Weather Stations API 3.0

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.  

How to use OpenWeatherMap UV index

How to use OpenWeatherMap UV index

Thank you for the article  Francesco Azzola
  http://www.survivingwithandroid.com
 @survivingwithan
  https://it.linkedin.com/in/francescoazzola

This post describes how to use OpenWeatherMap UV index. This is an interesting API because we can use it to explore some important aspects about Android and location aware API. Openweathermap provides this API for free! As you may already know, OpenWeatherMap provides also a full set of API about weather information: you can get current weather conditions, forecast, historical information and so on. This information is free and we can use OpenWeatherMap API free of charge.

Focusing on this article, at its end, we will build an Android app that gets UV index and show it using Material design guidelines.

Before diving into the app details is useful to have an idea about UV index.

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.

Map Editor 2.0: Map with bike routes

Map Editor 2.0: Map with bike routes

There are many online map services for those who prefer active leisure. For example, here is a map with bike routes http://www.thunderforest.com/maps/opencyclemap/.
Route maps are extremely useful! Also while choosing a route it would be beneficial to know the weather in a region of your travelling. Surely we can check the weather with http://openweathermap.org. And what if we combine a bike route map and weather data from OpenWeatherMap? Eureka!
MapEditor 2.0 can help us with that!

                    

                


Map Editor 2.0 is the newest version of our tool for customization of weather maps

Map Editor 2.0 is the newest version of our tool for customization of weather maps

And again OpenWeatherMap is here happy to announce our new useful and smart tool Map Editor 2.0! It allows you to create personalized weather maps on the basis of OpenWeatherMap’s data. Map Editor 2.0 provides a great variety of interface tools: you can choose peculiar weather phenomena and adjust its colour display. And like usually all these go in open access.To get this tool simply log in to your account or create a new one. Be ready to become a weather pro!

New air pollution APIs

New air pollution APIs

New air pollution APIs.

Taking into account great importance of climate change issue OpenWeatherMap would like to make their own contribution into making this world the better place. 

The first version of API includes several data sets: CO (carbon), NO2 (nitrogen dioxide), O3 (ozone), SO2 (sulfur dioxide)

We hope that air condition data, current  and historical, give you a great opportunity to create variety of new applications and analytic services to keep an eye on what we breath in real time and if there any improvement over time.