1. KLAUS KDA1 – Biomass Estimation
Progress Meeting 7
09 Jun. 2011
KLAUS Progress Meeting 7

2. KLAUS Progress Meeting 7
Structure
Critical User Requirements
System Architecture
Implementation
Future steps:
Implementation Finalization
Test and Validation
Performance Evaluation
TTO
Delivered Items
KLAUS Progress Meeting 7

3. KDA1 Development Status
Users Identification
User Requirements Collection
URD -> Technical Specifications
TS -> Software implementation / Delivery to users
Users Service usage and validation
Service delivery to ESA
KLAUS Progress Meeting 7

4. Critical User Requirements
[KDA1-UR 01] It shall estimate the BIOMASS changes on a middle and large scale (Regional and National scale)
[KDA1-UR 02] It shall used as less as possible on ground surveys
[KDA1-UR 03] It shall be based especially on satellites surveys
[KDA1-UR 06] It shall provide NDVI, FPAR and LAI maps to be associated to the CLC (Corine Land Cover) layers.
[KDA1-UR 07] It shall provide Images at a spatial resolution of 10 metres or less for a visual identification of features
[KDA1-UR 08] It shall provide a seasonal estimation of biomass
KLAUS Progress Meeting 7

5. KLAUS Progress Meeting 7
System Architecture
Proposed Approach
3D-CMCC Model for general forest types
(Multi-layer (tridimensional), Multi-species, Multi-age, Dynamic Hybrid (HMs), Monthly time-step, Plot scale – regional scale, Spatially explicit / implicit) Provided by University of Viterbo, DISAFRI.
Application – data Model scheme
Satellite data time series (5 years) at 10m resolution
KLAUS Progress Meeting 7

6. System Architecture LAI multitemporal maps (3D)
Remote sensing data
Data from processing of remotely sensed data
DATA MODEL
GIS layer
Tables
APPLICATION MODEL
Validation
Environmental Parameters
Climatological multitemporal maps (3D)
Static layers (1D/ 2D)
Input interface (1 point information extraction)
3D-CMCC execution (single point)
Single point output management
2D – 3D output maps
KLAUS Progress Meeting 7

7. Input Specifications 1/4
2007
2008
2009
2010 1
ALAV2A-LAI-no57-zero-values.tif 2 3
ALAV2A LAI-no57-interp-orig.tif 4
ALAV2A LAI-no57.tif 5
ALAV2A LAI-no57-interp.tif
ALAV2A LAI-no57-interp.tif
ALAV2A LAI-no57-interp.tif
ALAV2A LAI-no57-interp.tif 6
ALAV2A LAI-no57-interp.tif
ALAV2A LAI-no57-interp.tif
ALAV2A LAI-no57-interp.tif
ALAV2A LAI-no57-interp.tif 7
ALAV2A LAI-no57-average.tif
ALAV2A LAI-no57-average.tif
ALAV2A LAI-no57-average.tif
ALAV2A LAI-no57-average.tif 8 9 10
ALAV2A LAI-no57-interp.tif
ALAV2A LAI-no57-average.tif
ALAV2A LAI-no57-average.tif
ALAV2A LAI-no57-interp.tif 11
ALAV2A LAI-no57-interp.tif
ALAV2A LAI-no57-interp.tif
ALAV2A LAI-no57-interp.tif
ALAV2A LAI-no57-interp.tif 12
Zero values
Original
Combined (“merged” vertically)
Averaged (“merged” horizontally)
Interpolated (vertically)
Satellite data: LAI Value per grid point
1 file per year [xsize_domain, ysize_domain, 12]
4 seasons identified:
No growth / no leaves (Dec, Jan, Feb): same value for each month
Growing Season (March, Aplil, May, June): different values
Summer Season (July, August, Sept): same value for each month
Falling season (Oct, Nov ): different values
KLAUS Progress Meeting 7

8. Input Specifications 2/4
Meteo-climatological data average montlhy values per grid point
1 file per year [xsize_domain, ysize_domain, 12]
Cumulated Precipitation
Average Temperature
Global Solar Radiation
Vapour Pressure Deficit (VPD)
Meteo-climatological data retrieved from the ISPRA site and interpolated (linear) over the domain
KLAUS Progress Meeting 7

9. Input Specifications 3/4
Forest Structure file (max 5 vegetation types per grid point)
1 file per parameter [xsize_domain, ysize_domain, 5]
Age (Class Age)
Species
Phenology
Management
N (Number of trees)
AvDBH (Diametric Class)
Height (Height Class) Wf Wr Ws
Information provided by the local admininstration, or estimated through fotointerpretation
KLAUS Progress Meeting 7

10. Input Specifications 4/4
Species characterization file (one for each involved specie [text file])
Canopy Quantum Efficiency
Assimilation use Efficiency
Max Age
Optimum growth temperature
etc
Site parameters (not mandatory)
KLAUS Progress Meeting 7

11. KLAUS Progress Meeting 7
Output Parameters
Net primary productivity (NPP) – monthly/yearly
Gross Primary Productivity (GPP) – monthly/yearly
Above Ground Biomass (AGB) –yearly
Underground Biomass (UGB) - yearly
Mean Annual Volume Increment (MAI) –yearly
Current Annual Volume Increment (CAI) –yearly
KLAUS Progress Meeting 7

12. Advances with respect to the state of the art
Inclusion of satellite data into the 3D-CMCC
 inclusion of observational data
 explicit account of forest phenology
 identification of not-modeled features (e.g cuts, burned areas, etc)
Modification of 3D-CMCC for LAI partition (based on crowns cell coverage)
3D-CMCC model spatialization (iteration over 2D domain)
KLAUS Progress Meeting 7

13. KLAUS Progress Meeting 7
Future Activities
Implementation Finalization (30 June 2011)
KEO Modules
Data Model
Modules Test and Validation (30 June 2011)
Performance Evaluation (31 July 2011)
TTO (31 July 2011)
KLAUS Progress Meeting 7

14. KLAUS Progress Meeting 7
Delivered Items
D5.1.4:
KLAUS_D5.1.4_1.0_TN (KLAUS-TN-SSM-GS-0108) Vegetation management applications – KDA complete description, validation results and open issues (delivery  V1.0)
KLAUS Progress Meeting 7