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Forestry applications using
LiDAR
Ariadna Just(1), Mariló Cabré(1), Antonio Magariños(1), Jordi
Vayreda(2)
(1) ICGC (2)CREAF
41%
15%
30%
6%
8%
Soil orders in
Catalonia
2
56% Forest
INSPIRE Conference 2016 Barcelona, 29th September, 2016
Forest presence
3
INSPIRE Conference 2016 Barcelona, 29th September, 2016
Source: BIOLULIA
Existing forestry
maps
4
INSPIRE Conference 2016 Barcelona, 29th September, 2016
Forest land cover
LAND COVER MAP OF CATALONIA: MCSC
SPANISH FOREST MAP: MFE50
OTHER LAND COVER MAPS:
- CTFC: Map of Pure and mixed forest formations of Catalonia
 Resolution: 2m
 Coverage: Catalonia
 Epoch represented: 2009
 Distributor: CREAF, Ecological
and Forestry Applications
Research Centre
 Resolution: 1:50000
 Coverage: Spain
 Epoch represented: 1997-2006
 Distributor: MAGRAMA. Ministry
of Agriculture, food and
environment.
Existing forestry
maps
5
INSPIRE Conference 2016 Barcelona, 26th– 27th September, 2016
Forest structure
0 (t/ha)
1-10 (t/ha)
10-20 (t/ha)
20-30 (t/ha)
30-40 (t/ha)
40-50 (t/ha)
50-60 (t/ha)
60-70 (t/ha)
>=70 (t/ha)
Total aerial carbon
% Trees in Catalonia Bark volume growth
Source: SIBosC
National forest inventory: IFN3 (2000-2001 )
Source: SIBosC Source: Vangdata
Applications:
Other forest inventories
ICGC. Cartography of
Catalonia
6
INSPIRE Conference 2016 Barcelona, 29th September, 2016
 Topographic maps:
 From 1:5000 to 1:50000 over Catalonia
 1:1000 in urban areas
 Ortophotos:
 25cm, 50cm, 2.5m over Catalonia
 10cm on the coast
 Geological cartography
 Digital Terrain Models
Existing cartography
Medium Height
Foliage Biomass
Forest Canopy Cover
7
LiDAR Forestry maps
High resolution forestry maps:
mvba20m
Bark volume
Total Aerial Biomass
Breast Height
Total Aerial Carbon
Basal Area
INSPIRE Conference 2016 Barcelona, 29th September, 2016
8
LiDAR Forestry maps
High resolution forestry maps:
mvba20m
Plots of forest inventory
Land Cover Map
LiDAR data
Cartography of Catalonia forest
biophysical variables (mvba20m)
 Total aerial carbon (t C/ha)
 Total aerial biomass (t/ha)
 Bark volume (m3/ha)
 Basal area (m2/ha)
 Foliage biomass (t/ha)
 Diameter at breast height (cm)
 Forest canopy cover (%)
 Medium height (m)
INSPIRE Conference 2016 Barcelona, 29th September, 2016
9
LiDAR Forestry maps
High resolution forestry maps:
mvba20m
Main characteristics:
 Resolution: 20m
 Coverage: Catalonia woodland
 Epoch represented: 2005
 Distribution:
 WMS OGC service http://geoserveis.icc.cat/icgc_varbiofisiques_forest/wms/service?
 Download as GeoTIFF format: http://www.icc.cat/vissir/ or http://www.icc.cat/appdownloads/index.html?c=dlfxmvba
More info: http://www.icgc.cat/Administracio-i-empresa/Descarregues/Capes-de-geoinformacio/Mapes-de-variables-biofisiques-
de-l-arbrat-de-Catalunya
INSPIRE Conference 2016 Barcelona, 29th September, 2016
10
LiDAR Forestry maps
High resolution forestry maps:
mvba20m
Comparison of different variables
in La Garrotxa Volcanic
Zone Natural Park
INSPIRE Conference 2016 Barcelona, 29th September, 2016
11
LiDAR Forestry maps
High resolution forestry maps:
mvba20m
Total Aerial Carbon (t C/ha)Total Aerial Carbon (t C/ha)
Resolution: 1000x1000m Resolution: 20x20m
Before 2016 Nowadays
Resolution 2500 larger than the traditional forest inventories
INSPIRE Conference 2016 Barcelona, 29th September, 2016
Source: CREAF
LiDAR Forestry maps
12
Initial data LiDAR
metrics
Model
adjustment
Product
Generation
Workflow
LiDAR pointLiDAR point
LiDAR dataLiDAR data
Land cover mapLand cover map
Forest inventoryForest inventory
LiDAR
point
statistics
Land
cover
map
Forest
inventory
cloud statisticscloud statistics
Statistic modelsStatistic models Cover mapsCover maps
INSPIRE Conference 2016 Barcelona, 29th September, 2016
LiDAR Forestry maps
13
Workflow – Initial data
LiDAR data capture LiDAR data processing
 Trajectory calculation
 Sensor calibration
 Point cloud generation
 Point cloud QC
 Strip adjustment
 Adjustment QC
 Automatic classification
 Editing (Manual classification)
LiDAR data distribution
 Flight dates: 2008 - 2011
 Sensor: ALS50 II Leica
 Point density: 0.5pt/m
2
 Format: LAS & LAZ 1.2
 Classes: Ground, vegetation,
building, towers, wires, noise,
low points, air points
 Download:
http://www.icgc.cat/en/Public-
Administration-and-
Enterprises/Downloads/Eleva
tion/Dades-lidar2
LiDARCAT
INSPIRE Conference 2016 Barcelona, 29th September, 2016
LiDAR Forestry maps
14
Workflow – Initial data
Land Cover Map of Catalonia
 Resolution: 2m
 Epoch represented: 2009
 Coverage: Catalonia
 Distributor: CREAF, Ecological
and Forestry Applications
Research Centre
Plots of forest inventory
 IFN3, 3rd National Forest Inventory
(2000-2001)
 CREAF forest inventories (2004,
2007, 2008, 2010, 2011)
INSPIRE Conference 2016 Barcelona, 29th September, 2016
LiDAR Forestry maps
15
Initial data LiDAR
metrics
Model
adjustment
Product
Generation
Workflow
LiDAR pointLiDAR point
LiDAR dataLiDAR data
Land cover mapLand cover map
Forest inventoryForest inventory
LiDAR
point
statistics
Land
cover
map
Forest
inventory
cloud statisticscloud statistics
Statistic modelsStatistic models Cover mapsCover maps
INSPIRE Conference 2016 Barcelona, 29th September, 2016
LiDAR Forestry
Applications
16
Workflow – LiDAR metrics
OH all point cloud – OH TIN terrain = H above ground
From 3m
Orthometric Height Height above ground
INSPIRE Conference 2016 Barcelona, 29th September, 2016
LiDAR Forestry maps
17
Initial data LiDAR
metrics
Model
adjustment
Product
Generation
Workflow
LiDAR pointLiDAR point
LiDAR dataLiDAR data
Land cover mapLand cover map
Forest inventoryForest inventory
LiDAR
point
statistics
Land
cover
map
Forest
inventory
cloud statisticscloud statistics
Statistic modelsStatistic models Cover mapsCover maps
INSPIRE Conference 2016 Barcelona, 29th September, 2016
LiDAR Forestry
Applications
18
Workflow – Model adjustment
LiDAR explanatory variables
Hmean, Hmax, percentiles,
Num Points, Elev Skewness,
FCC, Diff years, etc.
Plots of forest inventories
Stepwise regression
Model adjustment
Statistical model for
each specie and a
general model
Model validation
CAT = ∗ ∗ ∗
_
∗ _
List of main species
INSPIRE Conference 2016 Barcelona, 29th September, 2016
LiDAR Forestry maps
19
Initial data LiDAR
metrics
Model
adjustment
Product
Generation
Workflow
LiDAR pointLiDAR point
LiDAR dataLiDAR data
Land cover mapLand cover map
Forest inventoryForest inventory
LiDAR
point
statistics
Land
cover
map
Forest
inventory
cloud statisticscloud statistics
Statistic modelsStatistic models Cover mapsCover maps
INSPIRE Conference 2016 Barcelona, 29th September, 2016
LiDAR Forestry maps
20
Workflow – Product generation
The model is applied to each 20x20m pixel
LiDAR dataLiDAR data
Land cover mapLand cover map
CAT = ∗
Statistical modelStatistical model
INSPIRE Conference 2016 Barcelona, 29th September, 2016
Total Aerial Carbon
LiDAR Forestry
Applications
21
Mbva20 - Applications
 Forest resources management planning
 Management/planning of estates or protected
areas (Natura 2000, ENPEs…)
 Location and characterisation of mature
forests
 Forest inventories (with or without field
support)
INSPIRE Conference 2016 Barcelona, 29th September, 2016
LiDAR Forestry
Challenges
22
Challenges
Challenges:
 Update mvba20 for the next decade (2015-2025)
 LIDARCAT2. Flight dates: 2016
 IFN4. Publication: by the end of 2016
 Maps of biophysical variables for the scrubland cover
 Applications: Fire danger maps…
 Increase the amount of forestry products
 INSPIRE directives
INSPIRE Conference 2016 Barcelona, 29th September, 2016
Institut Cartogràfic i Geològic
de Catalunya
Parc de Montjuïc,
E-08038 Barcelona
41º22’12” N, 2º09’20” E (ETRS89)
www.icgc.cat
icgc@icgc.cat
twitter.com/ICGCat
facebook.com/ICGCat
Tel. (+34) 93 567 15 00
Fax (+34) 93 567 15 67
23
INSPIRE Conference 2016 Barcelona, 29th September, 2016

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Forestry applications using LiDAR

  • 1. Forestry applications using LiDAR Ariadna Just(1), Mariló Cabré(1), Antonio Magariños(1), Jordi Vayreda(2) (1) ICGC (2)CREAF
  • 2. 41% 15% 30% 6% 8% Soil orders in Catalonia 2 56% Forest INSPIRE Conference 2016 Barcelona, 29th September, 2016 Forest presence
  • 3. 3 INSPIRE Conference 2016 Barcelona, 29th September, 2016 Source: BIOLULIA
  • 4. Existing forestry maps 4 INSPIRE Conference 2016 Barcelona, 29th September, 2016 Forest land cover LAND COVER MAP OF CATALONIA: MCSC SPANISH FOREST MAP: MFE50 OTHER LAND COVER MAPS: - CTFC: Map of Pure and mixed forest formations of Catalonia  Resolution: 2m  Coverage: Catalonia  Epoch represented: 2009  Distributor: CREAF, Ecological and Forestry Applications Research Centre  Resolution: 1:50000  Coverage: Spain  Epoch represented: 1997-2006  Distributor: MAGRAMA. Ministry of Agriculture, food and environment.
  • 5. Existing forestry maps 5 INSPIRE Conference 2016 Barcelona, 26th– 27th September, 2016 Forest structure 0 (t/ha) 1-10 (t/ha) 10-20 (t/ha) 20-30 (t/ha) 30-40 (t/ha) 40-50 (t/ha) 50-60 (t/ha) 60-70 (t/ha) >=70 (t/ha) Total aerial carbon % Trees in Catalonia Bark volume growth Source: SIBosC National forest inventory: IFN3 (2000-2001 ) Source: SIBosC Source: Vangdata Applications: Other forest inventories
  • 6. ICGC. Cartography of Catalonia 6 INSPIRE Conference 2016 Barcelona, 29th September, 2016  Topographic maps:  From 1:5000 to 1:50000 over Catalonia  1:1000 in urban areas  Ortophotos:  25cm, 50cm, 2.5m over Catalonia  10cm on the coast  Geological cartography  Digital Terrain Models Existing cartography
  • 7. Medium Height Foliage Biomass Forest Canopy Cover 7 LiDAR Forestry maps High resolution forestry maps: mvba20m Bark volume Total Aerial Biomass Breast Height Total Aerial Carbon Basal Area INSPIRE Conference 2016 Barcelona, 29th September, 2016
  • 8. 8 LiDAR Forestry maps High resolution forestry maps: mvba20m Plots of forest inventory Land Cover Map LiDAR data Cartography of Catalonia forest biophysical variables (mvba20m)  Total aerial carbon (t C/ha)  Total aerial biomass (t/ha)  Bark volume (m3/ha)  Basal area (m2/ha)  Foliage biomass (t/ha)  Diameter at breast height (cm)  Forest canopy cover (%)  Medium height (m) INSPIRE Conference 2016 Barcelona, 29th September, 2016
  • 9. 9 LiDAR Forestry maps High resolution forestry maps: mvba20m Main characteristics:  Resolution: 20m  Coverage: Catalonia woodland  Epoch represented: 2005  Distribution:  WMS OGC service http://geoserveis.icc.cat/icgc_varbiofisiques_forest/wms/service?  Download as GeoTIFF format: http://www.icc.cat/vissir/ or http://www.icc.cat/appdownloads/index.html?c=dlfxmvba More info: http://www.icgc.cat/Administracio-i-empresa/Descarregues/Capes-de-geoinformacio/Mapes-de-variables-biofisiques- de-l-arbrat-de-Catalunya INSPIRE Conference 2016 Barcelona, 29th September, 2016
  • 10. 10 LiDAR Forestry maps High resolution forestry maps: mvba20m Comparison of different variables in La Garrotxa Volcanic Zone Natural Park INSPIRE Conference 2016 Barcelona, 29th September, 2016
  • 11. 11 LiDAR Forestry maps High resolution forestry maps: mvba20m Total Aerial Carbon (t C/ha)Total Aerial Carbon (t C/ha) Resolution: 1000x1000m Resolution: 20x20m Before 2016 Nowadays Resolution 2500 larger than the traditional forest inventories INSPIRE Conference 2016 Barcelona, 29th September, 2016 Source: CREAF
  • 12. LiDAR Forestry maps 12 Initial data LiDAR metrics Model adjustment Product Generation Workflow LiDAR pointLiDAR point LiDAR dataLiDAR data Land cover mapLand cover map Forest inventoryForest inventory LiDAR point statistics Land cover map Forest inventory cloud statisticscloud statistics Statistic modelsStatistic models Cover mapsCover maps INSPIRE Conference 2016 Barcelona, 29th September, 2016
  • 13. LiDAR Forestry maps 13 Workflow – Initial data LiDAR data capture LiDAR data processing  Trajectory calculation  Sensor calibration  Point cloud generation  Point cloud QC  Strip adjustment  Adjustment QC  Automatic classification  Editing (Manual classification) LiDAR data distribution  Flight dates: 2008 - 2011  Sensor: ALS50 II Leica  Point density: 0.5pt/m 2  Format: LAS & LAZ 1.2  Classes: Ground, vegetation, building, towers, wires, noise, low points, air points  Download: http://www.icgc.cat/en/Public- Administration-and- Enterprises/Downloads/Eleva tion/Dades-lidar2 LiDARCAT INSPIRE Conference 2016 Barcelona, 29th September, 2016
  • 14. LiDAR Forestry maps 14 Workflow – Initial data Land Cover Map of Catalonia  Resolution: 2m  Epoch represented: 2009  Coverage: Catalonia  Distributor: CREAF, Ecological and Forestry Applications Research Centre Plots of forest inventory  IFN3, 3rd National Forest Inventory (2000-2001)  CREAF forest inventories (2004, 2007, 2008, 2010, 2011) INSPIRE Conference 2016 Barcelona, 29th September, 2016
  • 15. LiDAR Forestry maps 15 Initial data LiDAR metrics Model adjustment Product Generation Workflow LiDAR pointLiDAR point LiDAR dataLiDAR data Land cover mapLand cover map Forest inventoryForest inventory LiDAR point statistics Land cover map Forest inventory cloud statisticscloud statistics Statistic modelsStatistic models Cover mapsCover maps INSPIRE Conference 2016 Barcelona, 29th September, 2016
  • 16. LiDAR Forestry Applications 16 Workflow – LiDAR metrics OH all point cloud – OH TIN terrain = H above ground From 3m Orthometric Height Height above ground INSPIRE Conference 2016 Barcelona, 29th September, 2016
  • 17. LiDAR Forestry maps 17 Initial data LiDAR metrics Model adjustment Product Generation Workflow LiDAR pointLiDAR point LiDAR dataLiDAR data Land cover mapLand cover map Forest inventoryForest inventory LiDAR point statistics Land cover map Forest inventory cloud statisticscloud statistics Statistic modelsStatistic models Cover mapsCover maps INSPIRE Conference 2016 Barcelona, 29th September, 2016
  • 18. LiDAR Forestry Applications 18 Workflow – Model adjustment LiDAR explanatory variables Hmean, Hmax, percentiles, Num Points, Elev Skewness, FCC, Diff years, etc. Plots of forest inventories Stepwise regression Model adjustment Statistical model for each specie and a general model Model validation CAT = ∗ ∗ ∗ _ ∗ _ List of main species INSPIRE Conference 2016 Barcelona, 29th September, 2016
  • 19. LiDAR Forestry maps 19 Initial data LiDAR metrics Model adjustment Product Generation Workflow LiDAR pointLiDAR point LiDAR dataLiDAR data Land cover mapLand cover map Forest inventoryForest inventory LiDAR point statistics Land cover map Forest inventory cloud statisticscloud statistics Statistic modelsStatistic models Cover mapsCover maps INSPIRE Conference 2016 Barcelona, 29th September, 2016
  • 20. LiDAR Forestry maps 20 Workflow – Product generation The model is applied to each 20x20m pixel LiDAR dataLiDAR data Land cover mapLand cover map CAT = ∗ Statistical modelStatistical model INSPIRE Conference 2016 Barcelona, 29th September, 2016 Total Aerial Carbon
  • 21. LiDAR Forestry Applications 21 Mbva20 - Applications  Forest resources management planning  Management/planning of estates or protected areas (Natura 2000, ENPEs…)  Location and characterisation of mature forests  Forest inventories (with or without field support) INSPIRE Conference 2016 Barcelona, 29th September, 2016
  • 22. LiDAR Forestry Challenges 22 Challenges Challenges:  Update mvba20 for the next decade (2015-2025)  LIDARCAT2. Flight dates: 2016  IFN4. Publication: by the end of 2016  Maps of biophysical variables for the scrubland cover  Applications: Fire danger maps…  Increase the amount of forestry products  INSPIRE directives INSPIRE Conference 2016 Barcelona, 29th September, 2016
  • 23. Institut Cartogràfic i Geològic de Catalunya Parc de Montjuïc, E-08038 Barcelona 41º22’12” N, 2º09’20” E (ETRS89) www.icgc.cat icgc@icgc.cat twitter.com/ICGCat facebook.com/ICGCat Tel. (+34) 93 567 15 00 Fax (+34) 93 567 15 67 23 INSPIRE Conference 2016 Barcelona, 29th September, 2016