Geospatial IoT Insights — September 1

Using satellite data to calculate groundwater. Groundwater and how much we have of it is a great concern since a large number of cities rely on it. The many factors that influence groundwater levels has been difficult to calculate in the past, but new research from Stanford may bring us closer to understanding the water that lies beneath our feet. A new computer algorithm allows researchers to determine groundwater levels over large geographical areas using satellite imagery. [GIS Lounge]

The role of GIS in the aftermath of a wildfire. GIS have assumed a key role in firefighting operations in recent years. Sophisticated GIS-driven mapping can help responders track events and position resources, layering on weather information and demographic data to give rescuers a full picture of the situation on the ground. This story analyses what can be done using these solutions today, and what could be further improved. [Emergency Management]

This story was posted a while ago, but it resurfaced this week and definitely deserves attention if you are trying to figure out what is the value of weather data in the big data economy. Many great examples, like pharma companies using weather data to predict cold medicine demand, weather events driving shoppers from brick-and-mortar to online stores, any more. [Data Science Central]

To celebrate its 20th Anniversary, the National Imagery and Mapping Agency/National Geospatial-Intelligence Agency compiled an overview of the highlights of its history. This rare opportunity to take a glimpse into the secretive GEOINT world provides some use-cases illustrating how the intelligence community benefits from geospatial data. [National Geospatial-Intelligence Agency]

Flood forecasting gets major upgrade. provides a good overview of the latest developments in the flood forecasting modeling, which has an important role in saving human lives and billions of dollars’ worth of property. The new water forecast model we covered last month makes it possible to reduce the damage of future flooding. A good read for everyone who needs to consider flooding related risks in its business. []

Another educating story from explains how does the ocean drive weather and climate extremes. Oceans cover a majority of our planet, and Planet OS Datahub provides tons of ocean related data. Whereas we spend most of our days on the solid land, oceans are the engines behind the weather as we know it and therefore the ocean data has an essential role in weather forecasting business. []

Originally published at on September 1, 2016.

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