GIS The Fastest Way to Extract Values from Geospatial Data A considerable part of what we do at Terramonitor can be summed up by the extract, transform, load (ETL) paradigm. This happens both in internal processes and in those that are externally triggered. And sometimes those processes are too slow.
GIS Normalizing and classifying raster data using gdal_translate and gdal_calc No satellite-borne instrument can fully deal with external artifacts and interference. Let's take a look at how gdal_translate and gdal_calc.py can be used to normalize and classify noisy real world data.
GIS PostGIS and why we like it A short introduction of PostGIS and why we chose it for storing our vector data. A case study of ST_Simplify.
GIS A practical comparison of GeoTIFF compression algorithms Not all GeoTIFFs are alike. Two images with identical information might have a different format for storing the data.
GIS Shapefile vs. GeoJSON vs. GeoPackage What if you were given the option to choose your GIS file format freely, is there one format which is technically superior to the others?
Cooperation Power grid monitoring using satellite data Headpower and Terramonitor receive 250 000 euros in funding to monitor changes near power lines.
Analysis Eduskuntavaalitulos avaruudesta, osa 2 Korreloiko puolueiden kannatus taimikonhoidon laadun kanssa? Tutkimme puolueiden kannatuksen ja Terramonitorin kehittämän VESA-indeksin yhteyttä.
Analysis Eduskuntavaalitulos avaruudesta, osa 1 Mitä eduskuntavaalitulos tarkoittaa kasvillisuuden kannalta? Päätimme Terramonitorilla tutkia kasvillisuuden määrää perustuen avaruusdataan, ja tutkia sitä suhteessa puolueiden kannatukseen.
Recruitment We're hiring - Space Sales Manager We’re looking a sales and marketing developer to scale our business
Machine Learning Combining geospatial data with Terramonitor and neural networks A central goal of Terramonitor is to provide easily accessible and up-to-date satellite imagery. There is no one specific use case on how to utilize our data, but rather a
