Lauri - Terramonitor Feed

Optimal land cover sampling

Land cover is defined as the physical material at the surface of Earth. Different types of land cover classes include for example grass, asphalt, trees, bare ground and water. Information on land cover is usually captured using field surveys and analysis of remotely sensed imagery. Land cover sampling is a

Satellite images and type 1 diabetes

Type 1 diabetes is a chronic autoimmune disease that affects millions of people around the world. It occurs when the body's immune system mistakenly attacks and destroys the insulin-producing cells in the pancreas, resulting in a lack of insulin production and regulation of blood sugar levels. One possible factor that

Calibration

Introduction to radiometric calibration

Absolute radiometric calibration is a technique used to ensure the accuracy of the radiance values measured by satellite sensors. Radiance is a measure of the amount of light that is reflected from the earth's surface, and is an important factor in the interpretation and analysis of satellite imagery. To perform

Environment

Supporting ecosystems using satellite images

Forests are essential in maintaining healthy ecosystem interaction and biodiversity on Earth. They are in a key role in the fight against climate change since they can restore increasing carbon stocks. Hence, several national and international initiatives (including the UNFCCC Paris Agreement and the EU LULUCF Regulation) require regular reporting

Climate change

Climate change mitigation using satellites

Forest biomass and carbon monitoring play a key role in climate change mitigation. Operational large area monitoring approaches are needed to enable forestry stakeholders to meet the increasing monitoring and reporting requirements. Terramonitor provided calibrated satellite images for a scientific research project carried out with VTT Technical Research Centre of

Recruitment

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

Recruitment

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

News

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

Forestry

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

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

AI

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 of the

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 anything on

Forestry

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

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

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

Recruitment

We are hiring - GIS developer

We are looking for know-how in satellite data processing.

Recruitment

We're hiring - Space Sales Manager

We’re looking a sales and marketing developer to scale our business

Webinar

Introduction to Terramonitor

At the end of June 2018, Terramonitor released the world's most up-to-date cloudless satellite map of the globe. Today the service is used by hundreds of users around the world with various use cases, including infrastructure and forest monitoring, asset management, environmental research, mapping, emergency services and visualization. Our goal

Story

Our Story

Terramonitor's mission is to make space data reachable for anyone, anywhere and anytime.