When you take a picture 800 kilometres away from the subject, chances are the picture is out of focus, has […]
Normalizing and classifying raster data using gdal_translate and gdal_calc Read More »
A central goal of Terramonitor is to provide easily accessible and up-to-date satellite imagery. There is no one specific use
Combining geospatial data with Terramonitor and neural networks Read More »
HEDIMED aims to identify the disease mechanisms and environmental factors of type 1 diabetes, celiac disease, asthma, and allergies. HEDIMED
ENABLING THE USE OF SPACE DATA FOR MEDICAL RESEARCH Read More »
Optimal Land Cover Sampling Land cover is defined as the physical material at the surface of Earth. Different types of
Optimal land cover sampling Read More »
Eduskuntavaalit avaruudesta -sarjan ensimmäisessä osassa tutkimme kasvillisuuden määrän ja puolueiden kannatuksen välistä riippuvuutta. Tällä kertaa katse kohdistuu taimikoiden vesakoitumiseen. Korreloiko
Eduskuntavaalitulos avaruudesta, osa 2 Read More »
How can I get multi-band satellite data for my area of interest? Terramonitor’s Sentinel-2 Mosaic Service provides automated satellite image
Introducing the Sentinel-2 Mosaic Service Read More »
Press Release HELSINKI 15.8.2019 Terramonitor released a service for forest owners in Russia to easily track and report forest loggings
Finnish Space Data Company Terramonitor Enters Russian Market with LesnoyMonitor Read More »
Terramonitor maps together with an elevation model enable simple 3D visualization. Read more to find out how easy it is…
3D modeling with Terramonitor Read More »
Terramonitor has developed a machine learning-based mapping service, which locates harmful shrubs in boreal forests. The service provides valuable information
VESA Index technology Read More »
We were recently featured in Sentinel Success Stories, a series focusing on how Copernicus Sentinel data is being used in
Terramonitor featured in Sentinel Success Stories Read More »
