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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.

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

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

Terramonitor Web Store

Terramonitor Web Store

Press release, May 28 2020 Terramonitor launches a Web Store that provides easy access to analysis-ready satellite images and up-to-date satellite maps. By processing thousands of satellite images per day with AI and cloud computing, Terramonitor provides revolutionary tools for monitoring and analyzing the globe from space. Terramonitor, a leader

New partnership agreement between Wuudis and Terramonitor

New partnership agreement between Wuudis and Terramonitor

Terramonitor maps and data now available in Wuudis to identify precise information on urgent care works and seedling thinning sites.

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

Raster Matrix Algebra part 1

Machine Learning

Raster Matrix Algebra part 1

In geoinformatics, a raster image is a dot matrix data structure that represents a (generally) rectangular grid of pixels. Most satellite images are stored into a raster file format at some part of the processing chain. GeoTiff and JPG2000 are examples of raster file formats that can have a specific

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

HEDIMED - PROJECT

HEDIMED - PROJECT

HOW CAN SPACE DATA HELP MEDICAL RESEARCH? We joined a Hedimed- consortium in early 2019 to take part in EU Horizon 2020 -application process. The project got thru the evaluation led by the University of Tampere and gor the funding decision by the European Commission. In the project consortium is

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.

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

Tree-G – forests of the future

Tree-G – forests of the future

The implementation of the latest digital technology is changing the way the forestry industry works. But how do you digitalise a tree?

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

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.

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.

Finnish Space Data Company
Terramonitor Enters Russian Market
with LesnoyMonitor

Finnish Space Data Company Terramonitor Enters Russian Market with LesnoyMonitor

Press Release HELSINKI 15.8.2019 Terramonitor released a service for forest owners in Russia to easily track and report forest loggings with satellite images. Terramonitor, a leader in space data solutions, has today launched a service called LesnoyMonitor (www.lesnoymonitor.ru [http://www.lesnoymonitor.ru/]) for the Russian market.

CollectiveCrunch and Terramonitor Announce Strategic Partnership

CollectiveCrunch and Terramonitor Announce Strategic Partnership

HELSINKI, Finland (August 14th, 2019) CollectiveCrunch and Terramonitor are tech startups that utilize satellite data among other things to help gaining new insights for forestry industry as well as GIS professionals. So we’re competing, right? Well, no. Looking under our respective technology hoods we realized that some of what

Deforestation in the Amazon

Deforestation in the Amazon

Satellite data is a useful and effective tool to detect changes in the forest. For example, it can be used to analyze deforestation in the Amazon. Deforestation is an issue, especially in rain forests.

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?

Forbes: 25 Machine Learning Startups To Watch In 2019

Forbes: 25 Machine Learning Startups To Watch In 2019

Terramonitor was listed as one of "25 Machine Learning Startups To Watch In 2019" by Forbes.

Power grid monitoring using satellite data

Power grid monitoring using satellite data

Headpower and Terramonitor receive 250 000 euros in funding to monitor changes near power lines.

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

Eduskuntavaalitulos avaruudesta, osa 2

Eduskuntavaalitulos avaruudesta, osa 2

Korreloiko puolueiden kannatus taimikonhoidon laadun kanssa? Tutkimme puolueiden kannatuksen ja Terramonitorin kehittämän VESA-indeksin yhteyttä.