WhereOS Introduces Satellite Data Application: Australia Bush Fires

Almost 200 000 square kilometers of land burned, tens of lives and thousands of homes lost, up to billion animals impacted during the 2019 & 2020 bushfires in Australia – more details and donate to help at WWF

To raise the attention of the situation, we’ve created an application using our newly launched Satellite Data Applications, showing the impact of the bush fires, based on European Space Agency Satellite data.

Open the Australia Bush Fires Visualization

WhereOS Satellite Data Application

The visualization was created with WhereOS, based on European Space Agency Sentinel 2 data using the Satellite Data Application (SDA). With the newly launched SDA, we can quickly perform different kinds of analyses, for environmental and climate change analyses, taking near real-time data from different satellite platforms and creating applications, visualizations or analyses based on the data.

The WhereOS SDA can be used also in connection with different machine learning and AI algorithms, for e.g. for landcover classification. The easy integration between satellite raster, polygon data (e.g. from OpenStreetMaps) and for example weather models (read article Rendering GRIB2 Data, 54 Hour Weather Forecast) enables rapid development of different kinds of applications for both business and public organizations.

Lowering Cost of Data Analysis

Using the WhereOS platform and pre-built applications, algorithms and services, customers of WhereOS are decreasing the cost of data analysis, and cutting development time from months to days.

Contact Us

If you have more questions about Australia Bush Fires application, or how you can use WhereOS to save data engineering and analysis costs, please write us at jp@eaglepeaks.com.

Development Platform & Ecosystem as a Service

WhereOS is both a development platform to rapidly develop data driven business and applications, and an Ecosystem as a Service, where different parties meet to create data driven solutions.

If you want to speed up development of your data driven business and applications you are in the right place. WhereOS Ecosystem as a Service makes it easier and faster for you to use WhereOS ecosystem data & technology from WhereOS Store and sign up world-class talent to your projects.

If you are interested in leveraging WhereOS ecosystem in your business, and to boost your development efforts in the areas of data driven business and applications, or get access to the WhereOS platform, and do the development on your own, please be in touch with us at support@eaglepeaks.com, and we will help you to get started.

Read more the topics:

How to use the development platform to accelerate the development of data driven applications?

What are the benefits of  WhereOS Ecosystem as a Service for my business?

What are the benefits of becoming a WhereOS ecosystem partner and how do it become one?

call_kone_elevator


Platforms: WhereOS, Spark, Hive
Class: com.whereos.udf.KONEElevatorCallUDF

More functions can be added to WhereOS via Python or R bindings or as Java & Scala UDF (user-defined function), UDAF (user-defined aggregation function) and UDTF (user-defined table generating function) extensions. Custom libraries can be added on via Settings-page or installed from WhereOS Store.

zscore


zscore(value, mean, stddev) – Returns a standard score (zscore)

Platforms: WhereOS, Spark, Hive
Class: hivemall.ftvec.scaling.ZScoreUDF

More functions can be added to WhereOS via Python or R bindings or as Java & Scala UDF (user-defined function), UDAF (user-defined aggregation function) and UDTF (user-defined table generating function) extensions. Custom libraries can be added on via Settings-page or installed from WhereOS Store.

zip_with


zip_with(left, right, func) – Merges the two given arrays, element-wise, into a single array using function. If one array is shorter, nulls are appended at the end to match the length of the longer array, before applying function.
Platforms: WhereOS, Spark, Hive
Class: org.apache.spark.sql.catalyst.expressions.ZipWith

More functions can be added to WhereOS via Python or R bindings or as Java & Scala UDF (user-defined function), UDAF (user-defined aggregation function) and UDTF (user-defined table generating function) extensions. Custom libraries can be added on via Settings-page or installed from WhereOS Store.

year


year(date) – Returns the year component of the date/timestamp.
Platforms: WhereOS, Spark, Hive
Class: org.apache.spark.sql.catalyst.expressions.Year

More functions can be added to WhereOS via Python or R bindings or as Java & Scala UDF (user-defined function), UDAF (user-defined aggregation function) and UDTF (user-defined table generating function) extensions. Custom libraries can be added on via Settings-page or installed from WhereOS Store.

xpath_string


xpath_string(xml, xpath) – Returns the text contents of the first xml node that matches the XPath expression.
Platforms: WhereOS, Spark, Hive
Class: org.apache.spark.sql.catalyst.expressions.xml.XPathString

More functions can be added to WhereOS via Python or R bindings or as Java & Scala UDF (user-defined function), UDAF (user-defined aggregation function) and UDTF (user-defined table generating function) extensions. Custom libraries can be added on via Settings-page or installed from WhereOS Store.

xpath_short


xpath_short(xml, xpath) – Returns a short integer value, or the value zero if no match is found, or a match is found but the value is non-numeric.
Platforms: WhereOS, Spark, Hive
Class: org.apache.spark.sql.catalyst.expressions.xml.XPathShort

More functions can be added to WhereOS via Python or R bindings or as Java & Scala UDF (user-defined function), UDAF (user-defined aggregation function) and UDTF (user-defined table generating function) extensions. Custom libraries can be added on via Settings-page or installed from WhereOS Store.

xpath_number


xpath_number(xml, xpath) – Returns a double value, the value zero if no match is found, or NaN if a match is found but the value is non-numeric.
Platforms: WhereOS, Spark, Hive
Class: org.apache.spark.sql.catalyst.expressions.xml.XPathDouble

More functions can be added to WhereOS via Python or R bindings or as Java & Scala UDF (user-defined function), UDAF (user-defined aggregation function) and UDTF (user-defined table generating function) extensions. Custom libraries can be added on via Settings-page or installed from WhereOS Store.

xpath_long


xpath_long(xml, xpath) – Returns a long integer value, or the value zero if no match is found, or a match is found but the value is non-numeric.
Platforms: WhereOS, Spark, Hive
Class: org.apache.spark.sql.catalyst.expressions.xml.XPathLong

More functions can be added to WhereOS via Python or R bindings or as Java & Scala UDF (user-defined function), UDAF (user-defined aggregation function) and UDTF (user-defined table generating function) extensions. Custom libraries can be added on via Settings-page or installed from WhereOS Store.

xpath_int


xpath_int(xml, xpath) – Returns an integer value, or the value zero if no match is found, or a match is found but the value is non-numeric.
Platforms: WhereOS, Spark, Hive
Class: org.apache.spark.sql.catalyst.expressions.xml.XPathInt

More functions can be added to WhereOS via Python or R bindings or as Java & Scala UDF (user-defined function), UDAF (user-defined aggregation function) and UDTF (user-defined table generating function) extensions. Custom libraries can be added on via Settings-page or installed from WhereOS Store.

xpath_float


xpath_float(xml, xpath) – Returns a float value, the value zero if no match is found, or NaN if a match is found but the value is non-numeric.
Platforms: WhereOS, Spark, Hive
Class: org.apache.spark.sql.catalyst.expressions.xml.XPathFloat

More functions can be added to WhereOS via Python or R bindings or as Java & Scala UDF (user-defined function), UDAF (user-defined aggregation function) and UDTF (user-defined table generating function) extensions. Custom libraries can be added on via Settings-page or installed from WhereOS Store.