Harmonization of Soil Information in the Alps

Technical and Operational Procedures

Harmonization of Soil Information in the Alps

Technical and Operational Procedures

Swiss-Italian ECALP Pilot AreaSwiss-Italian ECALP Pilot Area

Stefano Brenna, Alberto Rocca

ERSAF – Agency for Agriculture and Forests - Lombardy

Stefano Brenna, Alberto Rocca

ERSAF – Agency for Agriculture and Forests - Lombardy

Ispra, 3-4 February 2005

Swiss-Italian ECALP pilot area

Lombardy - “state of art”

Swiss-Italian ECALP pilot area

Lombardy - “state of art”

topics

• cartographic issues

• exchange format

• first results

• workplan

topics

• cartographic issues

• exchange format

• first results

• workplan

ECALP GIS Layer:administrative boundaries and lakes

Coordinate system:ETRS-LAEA

ECALP GIS Layer:administrative boundaries and lakes

Coordinate system:ETRS-LAEA

Switzerland

Italy, Lombardy

Cartographic issues - Swiss-Italian Pilot AreaCartographic issues - Swiss-Italian Pilot Area

geography surface distribution

Unit Km Italy Switzerland border total

[Xmin,Ymin] [4236, 2522] pixel 218 127 55 400

Range X [4236-4256] area (km2) 243.30 156.70 400

Range Y [2522-2542] area (%) 60.8 39,2 100

Result of spatial overlay of ERSAF GIS layer with ECALP GIS layer:

Result of spatial overlay of ERSAF GIS layer with ECALP GIS layer:

Projection to Lambert coordinate systemProjection to Lambert coordinate system

area pro Switzerland

area pro Italy

area not present in ECALP data

ERSAF GIS Layers:soil and land use maps(scale 1:250.000)

coordinate system:origin: Gauss-Boaga Westdestination: ETRS_LAEA

DATUM transformationED_1950 to WGS_1984_1

ERSAF GIS Layers:soil and land use maps(scale 1:250.000)

coordinate system:origin: Gauss-Boaga Westdestination: ETRS_LAEA

DATUM transformationED_1950 to WGS_1984_1

surface distribution

Italy Switzerland border total

pixel 200(218)

125(127)

75(55)

400

area (km2) 237.51 162.49 400

area (%) 59.4 40.6 100

1 over information 2 lack of information

3 both over and lack of information 4 no information (in theory)

Geometric incongruity of the maps at the Swiss-Italian borderGeometric incongruity of the maps at the Swiss-Italian border

Possible situations for “shared” pixelsPossible situations for “shared” pixels

Grid transformation in Gauss-Boaga West coordinate systemGrid transformation in Gauss-Boaga West coordinate system

- grid is not perfectly squared - grid cells sides are segmented- grid cells area: 0,9992 km2

comparing the percentage of cell occupied by SMU

in Lambert and Gauss-Boaga West coordinate system:

• difference between the two cases fits a Gaussian distribution:

mean value 0,08 km2 and standard deviation 6,4 km2;

• no perfect equivalence: error is often relevant (up to 16 %)

comparing the percentage of cell occupied by SMU

in Lambert and Gauss-Boaga West coordinate system:

• difference between the two cases fits a Gaussian distribution:

mean value 0,08 km2 and standard deviation 6,4 km2;

• no perfect equivalence: error is often relevant (up to 16 %)

ECALP GIS layer: alpine 1k grid

coordinate system:origin: ETRS_LAEA destination: Gauss-Boaga West

ECALP GIS layer: alpine 1k grid

coordinate system:origin: ETRS_LAEA destination: Gauss-Boaga West

Exchange format ver. 6.2

comments and remarks

Exchange format ver. 6.2

comments and remarks

AGRI-USE Which uses are considered agricultural uses?Which uses are considered agricultural uses?

Other limitations, often more relevant for agriculture, can occur, such as slope gradient, slope shape, climate, …

AGLM could be identify as “pedological limitation to agricultural use”.

Other limitations, often more relevant for agriculture, can occur, such as slope gradient, slope shape, climate, …

AGLM could be identify as “pedological limitation to agricultural use”.

AGLM1.AGLM2

TEXT-TOP-SEC In the Lombardy soil database:

• only modal attributes of STU are usually formalised:secondary information is not available.

• texture classes proposed are rather wide:soils having so different textures belong to different STU.

In the Lombardy soil database:

• only modal attributes of STU are usually formalised:secondary information is not available.

• texture classes proposed are rather wide:soils having so different textures belong to different STU.

WM1, WM2 Information not available because it is not an attribute of STU (information more related to “land” than to “soil”)Information not available because it is not an attribute of STU (information more related to “land” than to “soil”)

PX-OBSPX-NPROF

Information accuracy in the pixel depends on the scale of the soil survey carried out in the area and not on the number of soil observations.

Information accuracy in the pixel depends on the scale of the soil survey carried out in the area and not on the number of soil observations.

profiles

other field observations

Exchange format ver. 6.2 Exchange format ver. 6.2

First resultsFirst results

Source of data: land use map (DUSAF) SUR-BARE, SUR-URB, W-Body, STU-TOT

soil map (scale 1:250.000) other parameters

Switzerland (total/dominant)

Lombardy (total/dominant)

Prealps

(Po Plain and) Morainic hills

Lakes

Swiss-Italian Pilot area Swiss-Italian Pilot area Soil RegionsSoil Regions

Land UseLand Use WRB Soil Reference GroupsWRB Soil Reference Groups

lakes

seeding

pasture-land

forest (conifers, broadleaf)

urban

CM - Cambisols

LP - Leptosols

LU - Luvisols

PH - Phaeozems

UM – Umbrisols

Lakes

First resultsFirst results

• provided:

method to identify the dominant STU occurring in the

pixels by means of Microsoft Access database query

• under construction:

web utility to get the possibility to see “grid maps” and

data stored in the pixel

• provided:

method to identify the dominant STU occurring in the

pixels by means of Microsoft Access database query

• under construction:

web utility to get the possibility to see “grid maps” and

data stored in the pixel

Support toolsSupport tools

pixel ID SMU ID area

4236_2522 113 0,766

4236_2522 91 0,118

4236_2522 121 0,116

SMU ID STU ID STU/SMU

113 33 89 %

113 34 11 %

91 189 48 %

91 130 29 %

91 13 23 %

121 36 100 %

pixel ID SMU ID SMU area STU ID % STU/SMU STU area

4236_2522 113 0.766 33 89 % 0.682

4236_2522 113 0.766 34 11 % 0.084

4236_2522 91 0.118 189 48 % 0.057

4236_2522 91 0,118 130 29 % 0.034

4236_2522 91 0,118 13 23 % 0.027

4236_2522 121 0,116 36 100 % 0.116

method to identify the dominant STUmethod to identify the dominant STU

dominant STU

Work planWork plan

• Integrating Swiss experience and contribution

• Assessing geometric incongruity at the border

• Identifying rules for shared pixels

• Filling the database

• Field excursion: 17-18th of February (to be confirmed)

For the future:

• INTERREG project (?)

• Integrating Swiss experience and contribution

• Assessing geometric incongruity at the border

• Identifying rules for shared pixels

• Filling the database

• Field excursion: 17-18th of February (to be confirmed)

For the future:

• INTERREG project (?)

Next steps – ECALP Pilot Area

Thanks for your attention!Thanks for your attention!