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GIS

A geographic information system (GIS) is a system designed to capture, store, manipulate, analyze, manage, and present spatial or geographic data. GIS applications are tools that allow users to analyze spatial information.

We're hiring - GIS Project Manager

We're hiring - GIS Project Manager

We are looking for a full-time Project Manager with know-how in some of the following fields: * Project management * Satellite data analysis * Geoprocessing * Python, GDAL, PostGIS, Machine learning If you are interested in working at Terramonitor on some of these topics, please do not hesitate to contact lauri.hame@terramonitor.com

How GIS Tech is Paving the Way for Smart Cities of the Future

How GIS Tech is Paving the Way for Smart Cities of the Future

The smart city: Though it sounds like a futuristic dream, you may have already unknowingly visited one. Currently, Singapore is the world's gold standard for smart cities, and following close behind include cities like New York, Toronto, London, Reykjavík, and Dubai. But what is a smart city, anyway?

The Fastest Way to Extract Values from Geospatial Data

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.

Normalizing and classifying raster data using gdal_translate and gdal_calc

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.

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

PostGIS and why we like it

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.

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

A practical comparison of GeoTIFF compression algorithms

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.

Shapefile vs. GeoJSON vs. GeoPackage

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?

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

3D modeling with Terramonitor

3D modeling with Terramonitor

Combination of satellite image and elevation model brings new viewpoints to landscape. Terramonitor maps together with an elevation model enable simple 3D visualization.

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