Fuel Types modelling for INSPIRE: Advancing Forest Fuel Mapping Techniques in Europe

Fuel Types modelling
for INSPIRE

Forest Fires 2012 Conference
Session ArcFUEL:
Advancing Forest Fuel Mapping Techniques in Europe

Giacomo Martirano
Epsilon Italia srl | Mendicino CS, IT
T: +390984631949 | g.martirano@epsilon-italia.it
3rd International Conference on Modelling, Monitoring and Management of Forest Fires 1
22 – 24 May, 2012, New Forest, UK

Introduction

Description of the steps to be applied to any Fuel
Type Classification Map in order to make it
INSPIRE compliant.

Application to the Fuel Classification Map (FCM)
datasets generated within the ArcFUEL project.

2
Giacomo Martirano; EPSILON Italia; T:+39 0984 631949; g.martirano@epsilon-italia.it

INSPIRE for FCM

A preliminary fit-for-purpose analysis has been
conducted in order to identify the most
applicable INSPIRE data theme within the
ArcFUEL context.

Among the 34 INSPIRE data themes, the
following three have been identified as candidate
and the relevant Data Specification (DS)
analyzed: (ι) Natural Risk Zones, (ιι) Land Cover
and (ιιι) Land Use.

The Land Cover (LC) data theme has been
selected as the most applicable and the relevant
DS has been deeply analyzed.
3

INSPIRE Land Cover
Data Specification
• Directive (2007/2/EC) defines Land Cover (LC) as the
Physical and biological cover of the earth's surface including
artificial surfaces, agricultural areas, forests, (semi-)natural
areas, wetlands, water bodies.
• The LC data specification does not prescribe or recommend
any particular land cover nomenclature for use in INSPIRE.
• There is a multitude of different ways to describe land
cover.
• There is only one "real world" but many different
descriptions of this world depending on the aims,
methodology and terminology of the observer.
• The approach taken by LC DS is instead to allow many
different land cover nomenclatures to coexist in the context
of INSPIRE.

4

INSPIRE Land Cover (LC)
Data Specification (DS)
• The data specification for land cover is separated into (i) two core
models and (ii) an extended model. The two core models are
conceptually similar, but for technical reasons separated into one
core model for vector data and one core model for raster data.
• The LC DS defines the following application schemas:
LandCover CoreVector application schema;
LandCover CoreRaster application schema;
LandCover Extended application schema.
• LC data shall be modelled trough one of the two core applications
schemas:
LandCover CoreVector defines a vector representation (i.e. points
or surfaces) to support Land Cover data.
LandCover CoreRaster defines a raster representation to support
Land Cover data.

5

INSPIRE Land Cover
Data Specification

Land cover conceptual core model
6

INSPIRE Land Cover
Data Specification
The selection of the application schema to be applied within the
ArcFUEL context was made taking into consideration the end-user
requirements of the final ArcFUEL output (i.e. the FCM - Fuel
Classification Map).

This requirements consists in using the final ArcFUEL output as
input for Fire Simulators processes, for this reason the CoreRaster
application schema has been selected.

The
LandCoverCoreRaster
application schema
defines how Land
Cover data can be
supported by a raster
representation.

7

LandCoverCoreRaster
application schema

LandCoverGridCoverage
defines how a grid
coverage can support
Land Cover information.

LandCoverNomenclature
defines the references
to understand and
interpret the
classification values.
8

LandCoverCoreRaster
application schema

Name of the Land
Cover coverage.

External object identifier
of the spatial object.

The extent of the dataset, in
space, time or space-time.
Information about the nomenclature
used in the coverage.

All the elements of the selected
application schema will be
structured into a database, for
LandCoverGridCoverage further creation of the INSPIRE
compliant gml using a proper
transformation tool.

9

LandCoverCoreRaster
application schema

For the encoding of the FCM values
the use of the external file option
has been investigated, as also
recommended by the
Recommendation 4 of Section
9.2.1.2 of the DS_v2.9.2.

In order to physically implement
this option have been followed the
indications contained in point 4 of
the Annex C of “D2.7: Guidelines
for the encoding of spatial data,
Version 3.2”.

The attribute rangeSet will be
LandCoverGridCoverage encoded as xlink to the external file.

10


LandCoverCoreRaster
application schema

The attribute used for documenting
the FCM nomenclature has a complex
dataType, LandCoverNomenclature

A LandCoverNomenclature defines
what information shall be provided to
right undertand and interpret the
classifcation codes contained in the
dataset.

LandCoverGridCoverage

11

LandCoverCoreRaster
application schema

External object identifier
of the spatial object.

This attribute defines
which organization (or
entity) defines or is
responsible for the
nomenclature.

LandCoverNomenclature This attribute references the
code list attached to the
nomenclature.
This attribute allows to provide an It will be used to document
URL pointing to the documentation the 44-classes Fuel Types
(specification or other document) classification, through its
describing the classification system encoding as an URI.
used and the nomenclature used.

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FCM data modelling

Group Group
FT No Fuel type name
No name
1 Peat bogs
1 GROUND FUELS
2 Wooded peatbogs

3 Pastures
S 4 Sparse grasslands
U F 5 Mediterranean grasslands and steppes
R U 6 Temperate, Alpine and Northern grasslands
7 Mediterranean moors and heathlands
2 F E 8 Temperate, Alpine and Northern moors and heathlands
A L 9 Mediterranean open shrublands (sclerophylous)
C S 10 Mediterranean shrublands (sclerophylous)
E 11 Deciduous broadleaved shrublands (thermophilous)
12 Alpine open shrublands (conifers)

T 13 Shrublands in Mediterranean conifer forests
F F
R
O
14 Shrublands in Mediterranean sclerophylous forests

Link 3A
U
E
L
A
N
S
I
O
N
A
L
R
E
S
15 Shrublands in Mediterranean montane conifer forests
16 Shrublands in thermophilous broadleaved forests
17 Shrublands in beech and mesophytic broadleaved forests
S T
T
S
18 Northern open shrublands in broadleaved forests
I 19 Shrublands in Alpine and Northern conifer forests
P
O
C 20 Mediterranean long needled conifer forest (mediterranean pines)
T O
F 21 Mediterranean scale‐needled open woodlands (juniperus, cupressus)
E N
O 22 Mediterranean montane long needled conifer forest (black and scots pines)
N I
R
C F 23 Mediterranean montane short needled conifer forest (firs, cedar)
T E
A E
S 25 Alpine long needled conifer forest (pines)
I R
N T 26 Alpine short needled conifer forest (fir, alp. spruce)
A O
S
O U 27 Northern long needled conifer forest (scots pine)
L
P S 28 Northern short needled conifer forest (spruce)
L
Y
k Y

Lin
F 29 Mediterranean evergreen broadleaved forest
3B B
L
O 30 Thermophilous broadleaved forest
I R
E
R
N A 31 Mesophytic broadleaved forest
O E
V 32 Beech forest
V A
E
S

O
D
D
T 33 Montane beech forest
S
L 34 White birch boreal forest
V
I M F 35 Mixed mediterranean evergreen broadleaved with conifers forest
I O
N T 36 Mixed thermophylous broadleaved with conifers forest
X R
S 37 Mixed mesophytic broadleaved with conifers forest
G E E
D S 38 Mixed beech with conifers forest

39 Riparian vegetation
40 Coastal and inland halophytic vegetation and dunes
4 OTHER FUELS
41 Aquatic Marshes
42 Agroforestry areas

5 PLANTATIONS 24 Central conifer forests (conifer plantations of central Europe)

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FCM Metadata profile

A FCM metadata profile will be
created and will comprise two groups
of metadata elements, as required in
the section 8 of the LC DS.
The common metadata elements, as
required by Regulation 1205/2008/EC
(implementing Directive 2007/2/EC of
the European Parliament and of the
Council as regards metadata) for spatial
datasets and spatial dataset series.

The theme-specific metadata
elements.
An FCM xml metadata profile will be
created for use within any metadata
editor to create the metadata for each
FCM dataset.
14


Thank you
on behalf
Giacomo Martirano

15

Fuel Types modelling for INSPIRE: Advancing Forest Fuel Mapping Techniques in Europe

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