SPATIAL DATA ANALYSIS





SPATIAL ANALYTICS - THE HEART OF OUR SERVICES


Data is only valuable when properly analyzed. This is why Bitcomp offers versatile spatial analysis services for enhancing business in forestry, agriculture and environmental sectors. We utilize newest machine learning algorithms and cloud solutions, which enable quick combining and refining of large spatial data sets into custom-tailored analysis products.

With our analysis products, you receive the information that matters to you - for example the value of the forest and how it will evolve in the future - always based on up-to-date data from multiple sources, processed with the help of artificial intelligence.


SATELLITE-BASED SPATIAL DATA


Recently we have been focusing on utilizing the Sentinel 1 radar (SAR) data and drone data to meet the needs of forestry and agricultural sectors - namely for forest inventory and change detection as well as crop monitoring. We also use optic satellite data (Sentinel 2, Landsat) and other remote sensing data (LiDAR, aerial images) in combination with data from other spatial big data sources. These sources include for example spatial notes created by mobile users, open map data and weather data.

The analysis products are available as map layers (WMS/WFS). Alternatively, they can be accessed via real-time analysis service. Also, with the analysis service the summary statistics for a user-given area can be calculated dynamically.


Our analysis products are fully customizable to customers’ needs and they can be included both in Bitcomp’s own or 3rd party web or mobile applications via data interfaces.


LET'S PLAN

FOREST CHANGE DETECTION SERVICE


Cut down the costs by focusing costly field work to the correct areas. Satellite data, processed utilizing artificial intelligence, enables faster-than-before automatized monitoring of the state of the environment. This allows quick estimation of, for example, damages caused by forest fires, storms or insects.

The analysis of remote sensing data can also be utilized for mapping out optimal actions for carbon storage by combining the analyzed data with carbon balance models.

In production since June, the next steps for the forest change detection service are adding features to the current service and the integration to other services, for example as a map layer to WoodsApp. The service also has great potential to be expanded to other countries.


GET IN TOUCH
Changed area marked to an aerial image

RECENT PROJECTS

Multi-source forest inventory

Pilots in Finland and Germany

Read more

Online forest value estimation service,

used by OP-Metsä

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Drone-based forest mapping and species recognition using machine learning

(pilots in Finland and Germany)

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Using drones for monitoring quality of forest operations

LaatuKuva project


Monitoring agricultural fields and detecting vegetation based on Sentinel 1 radar data

Detecting of storm damages and environmental risk mapping based on drone data and satellite images
(pilot in Finland)
 

Detecting snow damages based on Sentinel 1 radar data
 


Contact us and let’s plan analysis services for your needs


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Sanna Härkönen
R&D Manager
tel. +358 40 120 9451
email sanna.harkonen@bitcomp.fi