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FÖRECAST 2.0

Förecast 2.0: scalating forest intelligence. A BigData-driven step forward

COMPANY
FORA FOREST TECHNOLOGIES, SLL
DOMAIN
Forestry
COUNTRY
Spain
YEAR
2021

DESCRIPTION

The förecast 2.0 project addresses its scalability in terms of computational development, geoprocessing optimization, and business model.

To improve the current functionalities of förecast and to address its scalability objectives, förecast 2.0 will improve the architecture and procedures under a Big Data framework and integrate procedures and protocols to upgrade forest inventory using LiDAR data.

förecast has a module devoted to forest monitoring (change detection) using Sentinel-2 satellite imagery. förecast 2.0 pretends to analize the large-scale, geospatial data, greatly reducing the time required for computation.

Main Objectives

The main objective is to improve the current functionalities of förecast in terms of computational development, geoprocessing optimisation, and business model.

Main innovations
  • An intelligent workflow architecture to combine the different image layers and forestry algorithms, that reflects the real situation of every forest.
  • Automatic and on demand processes to increase the simultaneous working capacity of the platform.
Impacts
  • förecast 2.0 offers real-time information of forest characteristics and changes. This functionality is key for the reduction of the risk of forest fires. Lost forest areas and their associated biodiversity may be avoided with proper forest information and subsequent decision making.
  • A data-driven Sustainable Forest Management is proven to optimize the carbon uptake of the forests, that account for absorbing around the 10% of the global emissions in Europe.
  • Real-time and precise forest information allows better decisions and, subsequently, leads to more resilient but, also, profitable forests.
Key Exploitable Results (KERS)

A fully updated version of forecast to cope with a future high demand enhancing computation and geospatial capabilities, as well as developing business tools for an optimal commercial roadmap.

Technical KPIS

KPI 1: Scaling services in forest LiDAR inventory.
KPI 2: Spatial geoprocessing modelling for forest monitoring service.
KPI 3: Big Data geoprocessing application.
KPI 4: Business innovation consulting.

COMPANY INFO

Fora forest technologies (föra) is a forest technology and innovation company specialized in turning complex remote sensing data sources into actionable forestry insights. Using our expertise in LiDAR, satellite imagery, AI, and computing power, föra aims to contribute protecting the earth’s forests by providing data-driven and actionable forest intelligence.

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