Welcome to WordPress. This is your first post. Edit or delete it, then start writing!

We now offer our customers data and expert analysis of the US Supply Chain Management in near-real-time as seen from satellite images.

While SAR data are extremely useful for highly skilled defense & intelligence analysts, SpaceKnow cutting edge development and deployment of AI/ML algorithms enables full automation of the imagery analytics process, finally unlocking this state-of-the-art technology to the wider market.

In this study, we illustrate how our satellite-based nowcasting solutions can be used to track the evolution of the economic impact during one month of the nationwide lockdown in Malaysia imposed in June 2021 in response to the latest surge of the pandemic.

Remote Sensing Technologies are being used to determine the physical properties of land and what it is used for. Deforestation/reforestation, illegal logging, safety of critical infrastructure like power lines and railway lines, and vegetation health are among the many use cases for this technology. Our Chief Scientist, Michal Reinstein, describes SpaceKnow solution in this blog.

With modern SAR satellites from providers such as Sentinel 1 or Iceye, SpaceKnow provides deep insights in 3D surface mapping and monitoring. Read our blog to learn how our technology helps the mining industry.

With high tensions and the whole world watching the Russia-Ukraine border last month, we decided to apply our machine learning algorithms to analyze the assets at the Morozovsk Air Base located nearby. Our aim was to detect and evaluate any unusual activity, compared to previous years.

SpaceKnow Spotlight gives you a window into our company – our people, style of work, and personality. This post, the first of our Spotlight series, introduces one of our rockstar Data Scientists.

With all the new satellites and satellite imagery providers coming to the market, we’ve had to be creative in our approach to algorithm development. In this blog, our Chief Scientist dives into our methodology.

Satellites can image almost every corner of the earth. ML algorithms can be developed to recognize objects, detect changes, and measure economic activity with these images. This opens up endless possibilities. The question is not only what to look for – but where to look for it?

Public and private service providers need reliable and up-to-date information about the urban landscape in order to efficiently plan maintenance, improvement and building of infrastructure. Satellites orbiting the Earth generate vast amounts of unstructured data. Using AI, we are able to analyze this data instantaneously and provide decision makers with unique insights into urban monitoring worldwide.

COVID has driven the demand for electronics through the roof, causing a global shortage of semiconductors, which has forced a variety of auto manufacturers to temporarily cease operations. Our algorithms process satellite data to capture these shutdowns in near-real time.

In the past year, we’ve launched lots of new, groundbreaking datasets. SpaceKnow Insights is a data platform that brings these pieces together, giving our customers a front-row seat to see what’s happening in every industry observable from space, every day.

It’s no secret we live in a data-driven world. As more satellites get launched into the sky, image resolution becomes finer, costs go down, and satellite data analytics becomes more useful to organizations of all kinds. This article will prepare you to leverage this advanced technology.

More than half of the world’s population live in cities. 17 of the top 20 fastest-growing economies are cities in India. Using satellite data, we provide timely alternative data in regions where information is scarce. In this article, we use our proprietary AI/ML algorithms to analyze urban growth in the fastest-growing city in the world: Surat, India.

As a second wave of COVID19 lockdowns hit Europe, we look at our new nowcasting Satellite Activity Indices (SAI) to assess the effect on economic activity. Read our blog to find out how the second wave compares to the last lockdown, and how various sectors in different countries are responding.

In late July, a cargo ship called MV Wakashio ran aground south of Mauritius, causing the biggest ecological disaster ever faced in the Indian Ocean. In this article, we use our proprietary Change Detection algorithms to analyze the crisis from space.

In this blog, we look at insights from our new Activity Structure Index – a warning signal for economic inflection points by looking at how COVID-19 lockdowns impacted auto production.

In this article, we uncover insights into China’s auto industry rebound post COVID lockdown, using our new China Automotive Satellite Activity Index. This is one of many industry specific indices we will be releasing in the near future, built using satellite data.

Our team has developed AI/ML algorithms designed to precisely classify military equipment on the ground using high-resolution satellite imagery. We analyzed Yelizovo Air Force Base and Avacha Bay to see if we could validate what was reported by the press.

Our China Satellite Manufacturing Index (June number released today) is an independent snapshot of overall manufacturing activity from space. In this post, we break the index down into specific categories ranging from distribution centers to container ports and more.

We are proud to announce the launch of SpaceKnow Nowcasting Solutions (SKNOW), an independent, near real-time product suite that tracks economic activity across a range of countries and industries.

“Climate change remains the single greatest threat to the livelihoods, security and wellbeing of the peoples of the Pacific,” according to the Boe Declaration of the 18 countries at the 49th Pacific Islands Forum in September 2018. It’s not only carbon emissions like methane (CH4) and carbon dioxide (CO2) that disturb the atmosphere and threaten climate change, […]

Increasing ocean vitality vulnerability led SpaceKnow to investigate artificial islands across the globe where the impact of trash has severely affected the ecosystem. We tracked ship activity as well as the progression of urbanization. See how the activity of ships around artificial landfills is tracked and detected by SpaceKnow analytics.

We provide our users with the capability to count cranes in construction zones and receive the precise GPS coordinates of each. Cranes represent construction, urban growth and economic activity. SpaceKnow uses ‘machine learning’ to create algorithms that detect trends in satellite imagery received from our providers like Planet, Airbus, and Digitalglobe. The images here are […]

China continues to push its economic agenda into the 21st Century with massive modernization to the Silk Road. The new initiatives are called the Silk Road Economic Belt and the 21st-century Maritime Silk Road. With clients of SpaceKnow highly focused on this project over the next decade, we continue our studies of China and its economic ambitions with […]

The recent droughts have had a severe impact on urban vegetation in the European Union. SpaceKnow recently examined the drought in Germany, revealing changes in vegetative health and yield in cities. SpaceKnow used its Normalized Difference Vegetation Index (NDVI), a graphical calculator capable of analyzing surface coverage to examine the drought. The NDVI algorithm measures […]

We now offer our customers data and expert analysis of the US Supply Chain Management in near-real-time as seen from satellite images.

In this study, we illustrate how our satellite-based nowcasting solutions can be used to track the evolution of the economic impact during one month of the nationwide lockdown in Malaysia imposed in June 2021 in response to the latest surge of the pandemic.

Satellites can image almost every corner of the earth. ML algorithms can be developed to recognize objects, detect changes, and measure economic activity with these images. This opens up endless possibilities. The question is not only what to look for – but where to look for it?

COVID has driven the demand for electronics through the roof, causing a global shortage of semiconductors, which has forced a variety of auto manufacturers to temporarily cease operations. Our algorithms process satellite data to capture these shutdowns in near-real time.

In the past year, we’ve launched lots of new, groundbreaking datasets. SpaceKnow Insights is a data platform that brings these pieces together, giving our customers a front-row seat to see what’s happening in every industry observable from space, every day.

As a second wave of COVID19 lockdowns hit Europe, we look at our new nowcasting Satellite Activity Indices (SAI) to assess the effect on economic activity. Read our blog to find out how the second wave compares to the last lockdown, and how various sectors in different countries are responding.

In this blog, we look at insights from our new Activity Structure Index – a warning signal for economic inflection points by looking at how COVID-19 lockdowns impacted auto production.

In this article, we uncover insights into China’s auto industry rebound post COVID lockdown, using our new China Automotive Satellite Activity Index. This is one of many industry specific indices we will be releasing in the near future, built using satellite data.

Our China Satellite Manufacturing Index (June number released today) is an independent snapshot of overall manufacturing activity from space. In this post, we break the index down into specific categories ranging from distribution centers to container ports and more.

We are proud to announce the launch of SpaceKnow Nowcasting Solutions (SKNOW), an independent, near real-time product suite that tracks economic activity across a range of countries and industries.

While SAR data are extremely useful for highly skilled defense & intelligence analysts, SpaceKnow cutting edge development and deployment of AI/ML algorithms enables full automation of the imagery analytics process, finally unlocking this state-of-the-art technology to the wider market.

With high tensions and the whole world watching the Russia-Ukraine border last month, we decided to apply our machine learning algorithms to analyze the assets at the Morozovsk Air Base located nearby. Our aim was to detect and evaluate any unusual activity, compared to previous years.

Our team has developed AI/ML algorithms designed to precisely classify military equipment on the ground using high-resolution satellite imagery. We analyzed Yelizovo Air Force Base and Avacha Bay to see if we could validate what was reported by the press.

Remote Sensing Technologies are being used to determine the physical properties of land and what it is used for. Deforestation/reforestation, illegal logging, safety of critical infrastructure like power lines and railway lines, and vegetation health are among the many use cases for this technology. Our Chief Scientist, Michal Reinstein, describes SpaceKnow solution in this blog.

In late July, a cargo ship called MV Wakashio ran aground south of Mauritius, causing the biggest ecological disaster ever faced in the Indian Ocean. In this article, we use our proprietary Change Detection algorithms to analyze the crisis from space.

“Climate change remains the single greatest threat to the livelihoods, security and wellbeing of the peoples of the Pacific,” according to the Boe Declaration of the 18 countries at the 49th Pacific Islands Forum in September 2018. It’s not only carbon emissions like methane (CH4) and carbon dioxide (CO2) that disturb the atmosphere and threaten climate change, […]

Increasing ocean vitality vulnerability led SpaceKnow to investigate artificial islands across the globe where the impact of trash has severely affected the ecosystem. We tracked ship activity as well as the progression of urbanization. See how the activity of ships around artificial landfills is tracked and detected by SpaceKnow analytics.

The recent droughts have had a severe impact on urban vegetation in the European Union. SpaceKnow recently examined the drought in Germany, revealing changes in vegetative health and yield in cities. SpaceKnow used its Normalized Difference Vegetation Index (NDVI), a graphical calculator capable of analyzing surface coverage to examine the drought. The NDVI algorithm measures […]

Public and private service providers need reliable and up-to-date information about the urban landscape in order to efficiently plan maintenance, improvement and building of infrastructure. Satellites orbiting the Earth generate vast amounts of unstructured data. Using AI, we are able to analyze this data instantaneously and provide decision makers with unique insights into urban monitoring worldwide.

More than half of the world’s population live in cities. 17 of the top 20 fastest-growing economies are cities in India. Using satellite data, we provide timely alternative data in regions where information is scarce. In this article, we use our proprietary AI/ML algorithms to analyze urban growth in the fastest-growing city in the world: Surat, India.

We provide our users with the capability to count cranes in construction zones and receive the precise GPS coordinates of each. Cranes represent construction, urban growth and economic activity. SpaceKnow uses ‘machine learning’ to create algorithms that detect trends in satellite imagery received from our providers like Planet, Airbus, and Digitalglobe. The images here are […]

China continues to push its economic agenda into the 21st Century with massive modernization to the Silk Road. The new initiatives are called the Silk Road Economic Belt and the 21st-century Maritime Silk Road. With clients of SpaceKnow highly focused on this project over the next decade, we continue our studies of China and its economic ambitions with […]

With all the new satellites and satellite imagery providers coming to the market, we’ve had to be creative in our approach to algorithm development. In this blog, our Chief Scientist dives into our methodology.