Date (Creation)

2023-05-17

Identifier

IDEC / variables-biofisiques-arbrat-v1r1-2016-2017

Purpose

The specific objectives of this geoinformation are: To facilitate the knowledge and interpretation of the structure of the wooded mass from diverse fields, especially the environmental one and biological; Provide information on broad coverage and monitoring of policies implemented in terms of ecosystem services, forest management, use and exploitation; Generate objective, time-reproducible forest metrics and reduce costs of fieldwork-based approaches; Facilitate operational analysis in combination with other thematic products and field data, such as coverages and habitats maps; Facilitate the knowledge of the spatial distribution of the tree cover, since it is a fundamental requirement in the analysis of the changes, impacts and potential evolutions of changes of the covers in the time; Prevent forest fires, through the design of prevention infrastructures and actions on the fuel loads exerted by the use of wood and forest biomass.

GEMET - INSPIRE themes, version 1.0

• Land cover

IDEC - llocs

• Catalonia
• Spain
• Europe

IDEC - temes

• Wooded forest bodies
• Biomass

Specific usage

Some use cases of this geoinformation are: PREVINCAT Project: Use of the biophysical variables of the trees to carry out simulations of forest fires. Project developed by the CTFC jointly with the Department of Climate Action, Food and Rural Agenda (DAC); Soil moisture prediction: The dominant height and foliar biomass variables are used, together with soil information and forest inventories, to make soil moisture predictions. The CTFC carries out projects in this area; SIGPAC (DAC): Determination of grass coefficients, based on the tree cover of each plot; Obtaining growth models of holm oak and chestnut trees (Barcelona Provincial Council): The volume with bark and the dominant height are used for the stratification of the sampling areas; Drafting of instruments for the management of public estates (Barcelona Provincial Council): Stratification of the forest inventory and calculation of dasometric variables in hardly accessible monospecific stands; Valuation of estates for their acquisition (Barcelona Provincial Council); Drafting of Municipal Forest Plans: Municipal and supra-municipal Forest Management Instruments (Girona Provincial Council); Studies of splinter production potential in the Girona counties (Girona Provincial Council); Development of landscape models that project some of the biophysical variables into the future (CREAF-CTFC); Link of biophysical variables with biodiversity information (forest birds) in order to be able to interpret new forest biodiversity indicators (CREAF-CTFC); Detection at cabinet of mature forests (CREAF-CTFC): Biophysical variables provide complementary and prospective information; Map of vulnerability to drought for all of Catalonia: VULNEMAP (CREAF-CTFC).

Access constraints

Other restrictions

Other constraints

No limitations

Use constraints

Other restrictions

Other constraints

Creative Commons Attribution 4.0 International (CC BY 4.0)

Spatial representation type

Grid

Distance

20  m

Metadata language

Catalan; Valencian

Character set

UTF8

Topic category

• Imagery base maps earth cover
• Biota
• Environment

Description

Spatial extent covers all Catalonia. Temporal extent refers to the dates of the source data.

Begin date

2013-12-01

End date

2018-01-01

Unique resource identifier

ETRS89 UTM zone 31 North (EPSG:25831)

Distribution format

• GeoTIFF ( 1.1 )

OnLine resource

Data download

Access point

OnLine resource

WMS view service ( OGC Web Map Service )

Access point

OnLine resource

WMS view service (Description)

Access point

OnLine resource

Technical specifications

Access point

Hierarchy level

Dataset

Statement

The 20 m resolution maps of biophysical variables of the trees are obtained mainly from LiDAR data, forest inventory data and the Land Cover Map of Catalonia, following the methodology described below: 1. The LiDAR data are processed to obtain a good classification of the vegetation and terrain points and calculate the LiDAR metrics that define the structural characteristics of the wooded forest masses; 2. The allometric equations are applied for each species at the tree level of the forest inventories to obtain the estimation of biophysical variables; 3. The land cover maps are processed to assign each of the 20x20 m cells the corresponding tree cover; 4. From the LiDAR metrics, the statistical models that best fit the forest inventory are calculated; 5. The cartography is generated by applying to the LiDAR metrics the models obtained based on the species and tree categories indicated on the cover map; 6. Confidence intervals are calculated.

Description

LiDAR data

Description

Forest inventory data

Description

Land Cover Map of Catalonia

File identifier

variables-biofisiques-arbrat-v1r1-2016-2017 XML

Metadata language

Catalan; Valencian

Character set

UTF8

Hierarchy level

Dataset

Date stamp

2023-05-23

Metadata standard name

IDEC profile of metadata of spatial datasets

Metadata standard version

Version 5.0