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Earth observation

Earth observation (EO) is the gathering of information about the physical, chemical, and biological systems of the planet via remote-sensing technologies, supplemented by Earth-surveying techniques, which encompasses the collection, analysis, and presentation of data.

Terramonitor joins the Destination Earth project

Terramonitor joins the Destination Earth project

Terramonitor is a subcontractor for the Forest Digital Twin Component project funded by the European Space Agency ESA and led by the VTT Technical Research Centre of Finland. The project will develop the European Digital Twin Destination Earth (DestinE) platform. Terramonitor is responsible for the technical integration and implementation of

Satellite images in business

Satellite images in business

Like businesses, satellite technology develops at breakneck speed, satellite images have proven to be valuable tools to support companies' business operations. Accurate and widely available images captured by satellites from the earth are changing the way we look at the world, also in business life. One of the most

How good are the satellite images compared to aerial images?

How good are the satellite images compared to aerial images?

Satellite images have become an everyday part of modern life, allowing us to view our life from a bird eye perspective. But what can be actually seen from these images? Optical satellite images are captured by orbiting satellites that use various bands to detect and radiation emitted or reflected by

When Space Data makes a difference

Earth observation

When Space Data makes a difference

How did we help to change how Finnish Forest Act is monitored? When we started working with Space Data, one of our first major projects was a project by the Government of Finland in cooperation with research institutes and public forest actocrs in Finland. In the project, we developed an

Terramonitor Analysis Ready - 4 examples of use cases

Earth observation

Terramonitor Analysis Ready - 4 examples of use cases

Terramonitor Analysis Ready product is a cloudless mosaic of preprocessed satellite data with 10-band multi-spectral data. The images used for mosaic are atmospherically corrected and radiometrically calibrated. The product is suitable for different use cases such as analyzing and monitoring land areas, vegetation, forests, and calculating indices. Below are represented

Monitoring Atmosphere

Monitoring Atmosphere

Satellite data provides an opportunity to monitor the atmosphere. One satellite suitable for monitoring is Copernicus Sentinel-5P. This satellite enables atmospheric measurements and to map gases such as nitrogen dioxide, ozone, sulphur dioxide, methane, carbon monoxide, formaldehyde and aerosols. As an example below is a map showing the change of

VESA Index technology

VESA Index technology

Terramonitor has developed a machine learning based mapping service, which locates harmful shrubs in boreal forests. The service provides valuable information for forest professionals about growth states of forests. The maps of Terramonitor’s VESA index help forest professionals for fast, easy and financially prudent shrub maintenance. Region-specific maps point

Satellite mosaic validation by Terramonitor Labs

Satellite mosaic validation by Terramonitor Labs

Let's say you have a Sentinel-2 satellite image mosaic over a large area, for example Russia. The image is supposed to represent the surface reflectance of the area. How do you know if the pixel values are actually correct and that the atmospheric correction and the radiometric normalization

Introducing the Sentinel-2 Mosaic Service

Earth observation

Introducing the Sentinel-2 Mosaic Service

How can I get multi-band satellite data for my area of interest? Terramonitor's Sentinel-2 Mosaic Service provides automated satellite image preprocessing and delivery, enabling GIS people to focus on what counts: interpretation and analysis of data. Sentinel-2 Mosaic Service: Algorithm at workThe Pain Space data is complex. Building

Earth observation

Cloud vs. Snow

Clouds are always challenging in remote sensing unless you are especially interested in clouds and want them to appear in your satellite imagery. How about snow? It is also white and in some cases, without further analysis, it might look like a cloud. So how to differentiate snow cover and

Errors related to the automatized satellite-based change detection of boreal forests in Finland

Errors related to the automatized satellite-based change detection of boreal forests in Finland

Terramonitor took part in a Finnish government head project related to detecting changes in boreal forests during 2016-2019. Time series change detection.The project was executed by Teknologian tutkimuskeskus VTT Oy, Natural Resources Institute Finland, Finnish Forest Centre, Finnish Environment Institute and Terramonitor. Examples of clear-cut and thinning detection.Some

Views on the World

Earth observation

Views on the World

While processing and handling satellite data you just simply realize how beautiful our precious earth is. That's why we wanted to share those nice little pieces of the earth with you everyday.

If algorithms could talk, part 1

Earth observation

If algorithms could talk, part 1

Currently thousands of earth observation satellites are sending data to the surface around the clock. My goal is to make the most out of that data. This story is about one of my recent projects. In the following example case, the goal was to produce a cloudless view of a

NDVI(BOA) vs. NDVI(TOA)

Earth observation

NDVI(BOA) vs. NDVI(TOA)

The normalized vegetation index (NDVI) is a remote sensing measure that describes the difference between visible and near-infrared reflectance and can be used to estimate the density of green vegetation on land. NDVI is defined by the formula where red and NIR stand for the spectral reflectance measurements acquired in