KLAUS KDA1 – Biomass Estimation

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Presentation transcript:

KLAUS KDA1 – Biomass Estimation Progress Meeting 7 09 Jun. 2011 09.06.2011 KLAUS Progress Meeting 7

KLAUS Progress Meeting 7 Structure Critical User Requirements System Architecture Implementation Future steps: Implementation Finalization Test and Validation Performance Evaluation TTO Delivered Items 09.06.2011 KLAUS Progress Meeting 7

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 09.06.2011 KLAUS Progress Meeting 7

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 09.06.2011 KLAUS Progress Meeting 7

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 09.06.2011 KLAUS Progress Meeting 7

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 09.06.2011 KLAUS Progress Meeting 7

Input Specifications 1/4 2007 2008 2009 2010 1 ALAV2A-LAI-no57-zero-values.tif 2 3 ALAV2A-20070300-LAI-no57-interp-orig.tif 4 ALAV2A-20090410-20090407-LAI-no57.tif 5 ALAV2A-20070500-LAI-no57-interp.tif ALAV2A-20080500-LAI-no57-interp.tif ALAV2A-20090500-LAI-no57-interp.tif ALAV2A-20100500-LAI-no57-interp.tif 6 ALAV2A-20070600-LAI-no57-interp.tif ALAV2A-20080600-LAI-no57-interp.tif ALAV2A-20090600-LAI-no57-interp.tif ALAV2A-20100600-LAI-no57-interp.tif 7 ALAV2A-20070703-20070720-LAI-no57-average.tif ALAV2A-20080705-20080722-LAI-no57-average.tif ALAV2A-20090708-20090909-LAI-no57-average.tif ALAV2A-20100711-20100728-LAI-no57-average.tif 8 9 10 ALAV2A-20071000-LAI-no57-interp.tif ALAV2A143732740-20081005-LAI-no57-average.tif ALAV2A197412740-20091008-LAI-no57-average.tif ALAV2A-20101000-LAI-no57-interp.tif 11 ALAV2A-20071100-LAI-no57-interp.tif ALAV2A-20081100-LAI-no57-interp.tif ALAV2A-20091100-LAI-no57-interp.tif ALAV2A-20101100-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 09.06.2011 KLAUS Progress Meeting 7

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 09.06.2011 KLAUS Progress Meeting 7

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 09.06.2011 KLAUS Progress Meeting 7

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) 09.06.2011 KLAUS Progress Meeting 7

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 09.06.2011 KLAUS Progress Meeting 7

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) 09.06.2011 KLAUS Progress Meeting 7

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) 09.06.2011 KLAUS Progress Meeting 7

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) 09.06.2011 KLAUS Progress Meeting 7