SISREP | Management and analysis of reforestations on agricultural land

SISREP | Management and analysis of reforestations on agricultural land

SISREP | Gestión y análisis de reforestaciones en tierras agrarias
SISREP is a project that has developed an advanced statistical model that allows predictive and descriptive analyses to be carried out using a forestation survival prediction tool to ensure the success of new plantations. SISREP is based on the use of knowledge from historical in-situ visits to predict the probability of success of future plantations using machine learning techniques, and on a database with more than 50,000 observations referring to forestations carried out from 1993 to the present day.

The main objective of SISREP is to make use of the information obtained during inspections in the framework of aid for afforestation and the creation of forest areas in Castilla y León in order to:

  • Use of the information obtained in the field for the management of the controlled files.
  • Creation of a centralised and geo-referenced database with information on the state of plantations.
  • To be able to predict, by means of artificial intelligence techniques, the success of future plantations.
  • With the knowledge extracted, review and improve the planning of future actions, allowing the implementation of the most appropriate technical conditions for the new environmental circumstances.

To this end, an infrastructure has been designed and implemented that allows the digitalisation of the entire workflow, from data collection in the field to the use of these data in advanced statistical analysis tools.

The data collected in the field are for example species, altitude, density, slope, method, orientation, age, lithography, with or without sowing, or area.

Type of wood
Origin of wood
Kind of wood concerned
Reforestation and creation of forest areas
Sustainability Potential
Allows for better management of forests, and ensures the success of new plantations
Impact on environment & biodiversity

SISREP enables better forest management and ensures the success of new tree plantations, thus improving the preservation of the environment and the creation of new forest ecosystems.

Therefore, the project has a very positive impact on the environment and biodiversity. 

Income effect
Very positive. Better forest management can generate more income.
Specific knowledge needed
Use of digital tools.
Exploitation potential

Very positive, as SISREP is a support system for forest management in multiple variants, as well as a valuable aid to both private owners and managers in the task of creating new forests and, in the medium term, managing specific aspects of existing ones.

The use of data derived from the daily management of administrations is a highly valuable source of information that can help to improve the services offered by these administrations. To this end, the digitisation of processes becomes a fundamental and indispensable task. 

Key prerequisites

In order to carry out this project, it would be necessary to have a solid database, compiled over a number of years.

Inventory, monitoring
Forest management, ecosystem, resilience
Forest disturbances, risks
Reforestation database forecasting
Challenge addressed
1.- Improve forest resilience and adaption to climate change
Type of solution
Modelling, simulation, optimization
Digital solution
Country of origin
Scale of application
Start and end year
Contact data
Owner or author
CESEFOR, Junta de Castilla y León
Francisco Gallego
Fundación CESEFOR
Angela García de Arana
References and Resources
Project under which this factsheet has been created
Rosewood 4.0