2nd technical meeting - wp2
TRANSCRIPT
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Project SLOPE1
WP 2 Forest information collection and analysis
San Michele allAdige 19-21 Jan 2015
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SLOPE WP 2 Task 2.1
Alberto Lupidi, PhD
Remote sensing and multispectral analysis
Remote Sensing DepartmentFlyby S.r.l.
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Task 2.1: participants
CNR
Coastway
Flyby S.r.l. (Task Leader)
TreeMetrics
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Task 2.1: general description
1. Define a methodology to obtain a description of the scenarios using available remote sensing data (From satellite, UAV and on ground instrumentation)
2. Define how to realize a more complete forest inventory
AIMs:
Flyby Define the approachto monitor tree growth and health in mountainous environment (Using different vegetation indexes)
CoastWay/TreemetricsDefine the approach to monitor the forest using UAV and on ground sensors
CNR/FlybyDefine the approach to fuse heterogeneous information (derived by satellites or other instrumentations)
Participants Role
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Main Results
Definition of VI from sensed data
Estimation of biological parameters from VI
Analysis of parameter with growing level of
detail (Satellite -> UAVs -> Laser scanner)
Utilizability
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Issues, delays and actions
Case study chosen, with a posterior inspection, revealed too
young/thin trees
The alternative (Gortahile forest) was not present in Sat data
(geographical mismatch)
Delays from due date (30 Aug 14) to achieve a suitable solution.
Action Taken: utilization of a combination of Ballyredmond and
Trentino data to show the effectiveness in VI utilization at different
scales and with different sensors
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Working on a case study
IRELAND
MONTESOVER
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RapidEye satellite imagery
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Vegetation Indices
redNIRredNIRNDVI
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redREredRENDRE
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NDVINDRECCCI =
Normalized Difference Vegetation IndexUsed for vegetation/wood detection. Saturates in dense wood areas
Normalized Difference Red-Edge IndexCan be utilized to estimate chlorophyll levels /health status of trees.Unaffected by saturation
Canopy Chlorophyll Content IndexProposed as an alternative to measure variations in biomass, chlorophyll and nourishment (Nitrogen content)
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NDVI / NDRE
NDVI
Oct - Jul
NDRE
Oct - Jul
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CCCI
October 2012 July 2013
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Chlorophyll estimation
October 2012 July 2013
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NDVI Chl , UAV sensed data
Trentino dataset enhancement of detail and granularity
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From forest database to stem characterization
Trunks analysis with terrestrial laser sensor
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From data to information: the workflow
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Conclusions Development of an integrated wood monitoring system
Definition of a chain processing for data from different platoforms
Relation between VI indices and biomass productivity index
Toward very detailed information to tree-level for woodcutting operators
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Alberto Lupidi, PhDFlyby s.r.l.Corso Ferrucci 77/9, 10138 Torino, ItalyVia Puini 97, 57128 Livorno, Italywww.flyby.it
Thanks
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http://www.flyby.it/
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Species recognition by foresters
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Contours added to create DSM
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Post Processing can be time consuming as time is spent looking for the targets
New RTK unit will include all open areas in the DSM
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The same GCP location identified in 6no. Photographs is difficult to tie dow
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First Step - After Irish Tests
Identification of The Test Sites in Piscine & Montesover
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Second Step Submit Flight Plans to ENAC
(Italian Aviation Authority)
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WP2 Overall Progress of Tasks - Submitted and Pending deliverables
Task 2.1- Remote sensing and multispectral analysis FlyBy declared complete 14/10/2014
Task 2. 2 - UAV data acquisition and processing Coastway declared complete 14/01/2015
Task 2.3 - On-field digital survey systems Treemetrics declared complete 16/12/2014
Task 2.4 Harvest simulation tool based on 3D forest model Declaration required
Task 2.5 - Road and Logistic Planning Boku declaration required to be discussed
WP2 meeting required involving all Contributors San Michele allAdige 19-21 Jan 2015
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WP2 - Submitted and Pending Deliverables
Task 2.1- Remote sensing and multispectral analysis FlyBy declared complete 14/10/2014Task 2.1- Remote Sensing and Multispectral analysis FlyBy Plan for Austrian Test
Task 2. 2 - UAV data Acquisition and Processing Coastway Revise document Plan for Austria
Task 2.3 - On-field Digital Survey Systems Treemetrics Revise Document Plan for Austria
Task 2.4 Harvest simulation tool based on 3D forest model deliverable required
Task 2.5 - Road and Logistic Planning Boku deliverable required
Questions to be asked in meeting;
Will the same reports be produced for the Austrian site?San Michele allAdige 19-21 Jan 2015
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WP2 Criticalities
Prepare Flight Plan and Site Criticalities for WP2 Forest Information Collection and Analysis to be a success are
FlyBy, Coastway , Treemetrics, CNR have shared data this must continue.
Graphitec to reveal how this data is being used
Boku to share the scientific data with all WP2 contributors
Equipment to be upgraded in line with current developments for Austrian test
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WP2 Recommendations
Data to be discussed between the Survey Group and the Scientists
A larger area of the forest to be scanned to complete a full model
The current model to be revealed with a viewer for all parties
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T2.3- TLS data and analysis
Kick-off Meeting 8-9/jan/2014
Delive- rableNumber61 Deliverable Title
Lead benefi-ciary number
Estimated indicative person- months Nature 62
Dissemi-nation level 63
Delivery date 64
D2.01 Remote Sensing data and analysis 7 14.00 R PU 8
D2.02 UAV data and analysis 4 11.00 R PU 8
D2.03 TLS data and analysis 9 13.00 R PU 10
D2.04 Harvest simulation tool based on 3D forest model 1 20.00 R PU 15
D2.05 Road and logistic simulation module 10 12.00 R PU 13
Total 70.00
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D2.03 TLS data and analysis
Kick-off Meeting 8-9/jan/2014
D2.03) TLS data and analysis: This deliverable will contain a report on TLS data collected, the methodologies and algorithm to extract needed information and the generated output information. [Completed on time in month 10] (Updated following edits 16/12/2014)
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Overview of Forestry Analysis
Kick-off Meeting 8-9/jan/2014
Typical Forest inventory workflow and monitoring
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Types of Samples (plots and transects)
Kick-off Meeting 8-9/jan/2014
Sample Plots
Stratum sizes
Variability inside the strata
Inventory costs and accessibility that might vary between strata
Target accuracy
Inventory Planning is Essential in order to:1. Ensure efficient and effective data collection2. Minimise cost3. Optimise accuracy
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Treemetrics Field Gathering App
Kick-off Meeting 8-9/jan/2014
The advantage of in field application:
Bluetooth recording with callipers
2 way communication between office and field using GPRS or Wifi.
Easy navigation in field for operator
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Field Measurement
Kick-off Meeting 8-9/jan/2014
TLS Height recording hypsometer DBH recording
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Field Data Analysis
Kick-off Meeting 8-9/jan/2014
Dendrometric study the measurement of the various dimensions of trees, such as their diameter, size, shape, overall volume, etc.
Using the TLS the following data is available:
Stem profile
Diameter at Breast Height (DBH)- DBH v Height, DBH v Crown Size
Tree Volume
Quality indicators (Straightness)
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TLS Analysis for Plot 2
Kick-off Meeting 8-9/jan/2014
Stem 3D profile in Autostem
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Kick-off Meeting 8-9/jan/2014
Demonstration
Overview of the Demo area
The first demonstration area is located in Piscine (Province of Trento, Italy). This demo area has 4.18 ha of mixed age forestry. It is composed mainly of Norway spruce (Picea abies) mixed intimately with other secondary species: Scots pine (Pinussylvestris), European larch (Larixdecidua), silver fir (Abies alba) and Pinus cembra.
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Kick-off Meeting 8-9/jan/2014
Demonstration
A second demonstration area located in Montsover (Province of Trento, Italy), was initially proposed for study. However TLS sample has been not recorded in this site, due that the trees for extraction had not been marked in the field when field data collection was performed. Therefore, the combination of TLS and aerial/satellite remote sensing cannot be performed.
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Spatial Analysis
Kick-off Meeting 8-9/jan/2014
Spatial information is essential in order to know how the forest parameters are spatially distributed in the forest stand. Therefore, the combination of forest parameters and remote sensing must be used to study how the dendrometric parameters are distributed.
Typically, the spatial analysis is based on the following steps: 1. Location of the forest area (Area of analysis).2. Pre-processing of the image3. Zoning for analysis.4. Delineation of the forest canopy (Forest productive area).5. Tree detection (if applicable).6. Forest stratification based on tree characteristics (if applicable).7. Inventory Plan (Samples plot location).8. Generalization based on field data (parameters distribution and final stratification).
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Kick-off Meeting 8-9/jan/2014
Demonstration
EO Photo UAV Photo
EO image UAV image
Source Bing Maps UAV
Resolution 0.5 m 0.1 m
Bands RGB RGB-Nir
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Kick-off Meeting 8-9/jan/2014
Demonstration
DTM Slope
DTM generated from LIDAR was available for the demo area. This has a resolution of 1m. From the DTM the slope has been calculated in order to have a better understanding of the demo area.
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Kick-off Meeting 8-9/jan/2014
Demonstration
Digital Height Model
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Kick-off Meeting 8-9/jan/2014
Demonstration
Productive Area
EO DATA UAV DATA with DTM
DHM from UAV data allows to detect scrub areas
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Kick-off Meeting 8-9/jan/2014
Demonstration
Stratification
EO DATA UAV DATA with DTM
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Kick-off Meeting 8-9/jan/2014
Demonstration
Tree Counting
EO DATA UAV DATA with DTMDHM from UAV data allows to detect scrub areas
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Kick-off Meeting 8-9/jan/2014
DemonstrationTree Counting EO data
PlotManual counting
Trees Detected(matches)
False detections
Over-segmented
Double crowns
MatchingValidation
rate1 20 15 1 9 2 75%2 24 20 3 4 2 83%3 21 14 0 2 3 67%4 24 15 5 2 4 63%5 20 16 1 0 2 80%
Total 109 80 10 17 13 73%
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Kick-off Meeting 8-9/jan/2014
DemonstrationTree Counting - UAV with DTM
PlotManual counting
Trees Detected(matches)
False detections
Over-segmented
Double crowns
MatchingValidation
rate1 20 20 1 2 0 100%2 24 21 2 4 0 88%3 21 20 1 1 0 95%4 24 21 1 3 0 88%5 20 20 0 0 0 100%
Total 109 102 5 10 0 94%
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Kick-off Meeting 8-9/jan/2014
Demonstrationy = 0.3573x2 - 2.2107x + 5.5136
R2 = 0.0335
0
1
2
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6
0 1 2 3 4 5
Crown diameter (m)
Volume(m3)
y = 137.46x2 - 11.411x + 2.239R2 = 0.0372
0
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2
3
4
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6
0.0 0.1 0.1 0.2
ExRG index
Volume(m)
No correlation with volume using EO data (Vegetation index and Crown Diameter)
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Kick-off Meeting 8-9/jan/2014
Demonstration
Good correlation with UAV DHM (DBH prediction from Crown Diameter) (Volume prediction from Height*Basal Area)
y = -0.0069x2 + 0.4969x - 0.0193R2 = 0.7064
0
1
2
3
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6
0 5 10 15
Predicted Height * Basal Area (m3)
Volume(m3)
y = 0.618x - 1.3349R2 = 0.6215
0
1
2
3
4
5
6
0 2 4 6 8 10Crown diameter (m)
DBH(m)
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Kick-off Meeting 8-9/jan/2014
Demonstration
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Technical Meeting 19-20-21/jan/2015
Task 2.4 - 3D Modelling for harvesting planning
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Technical Meeting 19-20-21/jan/2015
PART 1- Task goals, timeline and partecipants
PART 2 - Alpha Version of the 3d Harvesting Planner: integrating the data coming from
task 2.1,2.2,2.3;- first interactive planning tools; - first version of cable crane setup.
PART 3- Live Demo of the 3D Forest Model
Outlook
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Aims
Deliverable 2.4: Harvest Simulation Tool based on 3D forest model / Software platform to visualize harvest processing
Develop methodologies and tools to fully describe terrain and stand characteristics, in order to evaluate the accessibility for and efficiency of harvesting technologies in mountain forests.
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TimeLine
Start Month: 7 August 2014End Month: 15 April 2015Deliverable: Harvest simulation tool based on 3D forestmodelTotal MM: 20Task leader: GRAPHITECH;Participants: CNR, COAST, BOKU, GRE, FLY, TRE
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Participants role
GRAPHITECH (10MM): Task Leader. It has in charge the development ofsoftware tool for representing the virtual 3D environment of the mountain forestas well as the of the virtual system on mobile and machine-mounted displays.Finally it will be involved into the development of the solution for interactivecableway positioning simulation.
CNR (1MM): Definition of the technology layers and methodologies tocoordinate tree marking with the subsequent harvesting operations.
COASTWAY (2MM): Provide the input model taken from UAV survey datacombined with the information of task 2.1 and 2.3
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Participants role
BOKU (2MM): it will be involved into definition of the technology layers (i.e.harvest parameters) for cableway positioning.
GREIFENBERG (1MM): Acting as final user in order to simulate the behaviour ofits own machines into the virtual system.
FLYBY (1MM): Provide the input model for the virtual system combining theinformation of task 2.1, 2.2 and 2.3.
TREEMETRICS (2MM): Development of the Forest Warehouse for mountainforestry and support the deployment of the virtual system. Provide input datataken form terrestrial laser scanning analysis.
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Functionalities
Forestry measurements estimations:The platform will allow the combination of accurate tree profile
information with up to date remote sensing data.
Interactive tools for cableway positioning simulation.
Definition of the technology layers (i.e. harvest parameters);Technological layers show technical limitations of machines and equipment on different forest areas.
Deployment of the virtual system on mobile and machine-embedded displays.
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Two levels of abstraction1St Level: 2D mapaccessing of forest and logistic information including:Cadastal dat, Volume of timber, accessibility of area.Where available, the system allow access to the SLOPE forest information system.2nd Level: 3D map
accessing of forest with information and visualization of the single tree and stems profile. Cable Crane positioningand tools to planharvesting area
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Platform CoreCanopy surface model Laser scanner point cloud Aerial & satellite images
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Integrating Data
Using the remote data (Satellite, UAVs orthophotos and digital surface model) combinedwith on field information (TLS), each single tree feature will be segmented including itsdeducted geometric properties.
Task 2.1
Task 2.2
Task 2.3
3D forest modelVirtual 3D
environment
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Input DataTEST CASE- PILOT A Monte SoverRound-up of the data coming from deliverables 2.1.,2.2,2.3
Flyby
Coastway
Treemetrics
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3D Harvesting Planner
Alpha version of the 3d model of forest
WebGL Based : HTML5 canvas no need for plugin, run in almost any modernbrowser
CesiumJS: extend an Open-Source library for GEO-Visualization on virtual globe (measuring tools, point clouds, cabke crane, vehicle tracking, etc.)
Serving spatial-data through Tile Map Service and Web Map Service compliant server
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3D Harvesting Planner
Visualization of Digital Surface Model of the test case pilot area
PISCINE AND SOVER:
DSM derived from UAV processed images
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3D Harvesting Planner
Visualization of Orthophoto RGB and NIR aerial images of the test case pilot area
PISCINE AND SOVER:
This data are derived from UAV processed images
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3D Harvesting Planner
Single Tree visualization and stems profile
Visualization of the trees segmentation and single tree stem profile. The data are coming form Treemetrics surveys with terrestrial laser scanner
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3D Harvesting Planner
Planning Tools for measurements
User could draw a polygonal area ora a line that will be used to take measurements useful to setup a landing zone or any other operationalarea
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3D Harvesting Planner
Cableway positioning simulation and cable crane following Greifenbergguidelines and suggestion
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3D Harvesting Planner
Cableway positioning simulation and cable crane following Greifenbergguidelines and suggestion
Typology of Cableway used by Greifenberg in alpine/mountainuousscenario
Operational lane of carriage/lifting
Catenary Simulation
Constrains on real operational scenario for cableway construction
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3D Harvesting Planner
Cable Crane Setup alpha-phase : Catenary Simulation
Setup a new cable crane by set the points of start and arrives of the cable
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Technical Meeting 19-20-21/jan/2015
Future Roadmap
- Improve cable crane setup and configuration- Dynamic load of external layers- GPS vehicle tracking- Show properties for each tree- Terrain analysis tool- User interface as described within D.1.2 Human Machine Interfaces Definition
- Vegetation Index and time series analisys visualization for deeperforest/biomass analysis
- Complete Integration with the Forest Warehouse devolped by Treemetrics- Integration with the Forest Information System developed by MHG- Technology layers definitions on cable harvesting.- Integration with Road and Logistic Planning- Virtual Tree Marking
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Technical Meeting 19-20-21/jan/2015
Open Discussion
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Technical Meeting 19-20-21/jan/2015
Thank you for your attention
GIULIO PANIZZONI
Fondazione GraphitechVia Alla Cascata 56C38123 Trento (ITALY)
Phone: +39 0461.283393Fax: +39 0461.283398
San Michele allAdige 19-21 Jan 2015
mailto:[email protected]
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Technical Meeting2015
Project SLOPE1
T 2.5 Road and Logistic planning
Trento, 19th-21st January, 2015
19-21/jan/
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Index2
Task objectives
Work done so farSLOPE logistic modelData model
Next steps
Contact info
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1. Task objectives3
Task objectives:Identify and analyze logistics elements within the forest and theircharacteristics for site locations and flow allocation decisionsIntegration of the data with the global forest modelBuild and validate an Optimization model to allocate landings and transportwood to mills and processing plants
To be developed from M8 to M13
Includes development of D2.05 Road and logistic simulation moduleDue to Month 13.
Partners involved: allITENE (leader), GRAPHITECH, CNR, BOKU, FLY
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1. Task objectives4
LOGISTIC OPTIMIZATION MODEL:
The goal is to determine an optimal forest logisticnetwork to respond future demands.
The approach would determine:Allocation of each buffer to the customer considering lowestsupply costsWhich storage yards to open and how much timber will flowvia these yards during damage events, i.e. when too muchtimber is produced within a certain period
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1. Task objectives5
The forest supplynetwork consists ofseveral nodes:
Roadside stocks(buffers, B).Central storageyards (S).Customers (C),
representing asaw mill, papermill or biomassplant.
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2. Work done so far6
Task activitiesby partner: ITENE
(Task leader)
- Understanding the forestry supply chain and logistic processes.- Identifying relevant logistic locations- Defining characteristics of logistics elements- Extensive bibliographic research- Coordinate the task activities- Integration with the global model- Elaboration of Data Model for the Task integration- Choosing a real scenario with real data
BOKU
- Participate in the common meetings and issues- Understanding the forestry supply chain and logistic processes.- Providing feedback of deliverables and other documents.- Extensive bibliographic research- Developing the logistic model- Programming the logistic model- Choosing a real scenario with real data- Validating model in real scenario
CNR
- Participating in the common issues- Identifying relevant logistic locations- Providing feedback of deliverables and other documents- Extensive bibliographic research- Choosing a real scenario with real data
GRAPHITECH - Participating in the common meetings and issues- Providing feedback of deliverables and other documentsFLYBY - Participating in the common meetings and issues
DoneIn progress
Future task
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2. Work done so far7
Templates to collect some data and bibliographic information
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2. Work done so far8
2 possible scenarios to test the model:
Italy - Alps area (maybe in Trento) CNR(Still in contact. TBC)
Austria - Austrian State Forest BOKU(Still in contact. TBC)
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2.1. SLOPE logistic model9
DECISION VARIABLESxijk Volume to be transported from i to j for assortment kyi 1, if storage yard i should be openedzik 1, if a buffer i is available for delivery for assortment k
DATA VARIABLESsik Volume of wood at i for assortment kcijk Transport costs from i to j for assortment kchik Harvesting costs at i for assortment kcsmik Costs for manipulating of assortment k at storage yard idjk Demand at j for assortment kfi Fixed costs for opening storage yard i
Minimum turnover of storage yard i for assortment k
Maximum capacity of storage yard i for assortment k
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2.1. SLOPE logistic model10
OBJECTIVE FUNCTION:To supply timber at the lowest supply costs (harvesting, transportationand fixed and variable costs at storage yards):
Harvesting costs for(chi) differ because oreasons, like amoun
each bufferf several
t of timber,tree volume, extraction distanceetc.
The sum of transport costs are calculated as theca lat
volume flow multiplied by costs for each assortmentmultipli(k) and each used route.
If storage yards are opened (yi=1),fixed costs (fi) per month occur.
The sum of variable processingcosts at storage yards are
lcu ed the volume flowed by costs for
manipulating for each assortment(k).
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2.1. SLOPE logistic model11
CONSTRAINTS:
The demand of assortments k at the customer destinations j hasto be satisfied within a specific range.
On one hand the resource limits at the harvesting plots (buffers)must be kept, but on the other hand we do not want left overs ofassortments like saw logs or pulp wood.
For storage yards the wood flow must be balanced.
For considering a safety stock, a minimum turnover via storageyards can be determined.
Depending on the capacity of the storage yard, a maximumturnover per month can be defined.
The decision variable for the wood flows has to be nonnegative.
The decision variables if a storage yard (yi) will be opened and ifdelivery should be executed from the buffer (zik) can only takethe value 0 or 1.
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2.1. SLOPE logistic model12
SUPPLEMENTARY CALCULATIONS:
Harvesting costs:
Road transport costs:
Cijk Supply costs from origin (i) to destination (j) [EUR/m3]tijk
nik
sik
Drive time from origin (i) to destination (j) for assortment k [h]Loading time for assortment k [h]Unloading time for assortment k [h]Operational delay time for assortment k [h]
Cost of transport vehicle per hour per road category r [EUR/h]
Road charge from i to j [EUR]
Calculated number of trips needed to transport the total volumefrom i for assortment kVolume of wood at i for assortment kCosts for construction and maintenance of forest roads per roadcategory r [EUR/m]
CotherOther costs e.g. shifting costs for trucks, pre-concentration of rawmaterial [EUR/m3]
Chik Harvesting costs at i for assortment k [EUR/m3]
Csaw
Cyarder
Cprocessor
tvik
Cost of felling with chain saw per hour [EUR/h]Cost of extracting with tower yarder per hour [EUR/h] Costof processing with processor head per hour [EUR/h]
Average tree volume at i for assortment k [m]
distik Average extraction distance at i for assortment k [m]slik
Cmount
Cdmount
Average slope at i for assortment k [%]Costs for mounting the cable line [EUR/m3]Costs for dismounting the cable line [EUR/m3]
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2.2. Data model13
BUFFER (B)
STORAGE YARDS (S)
CUSTOMERS (C)
B/C
B/S
S/K
ASSORTMENTS (K)tlktuktdk
B/S/K
B/C/K
S/C/K
B/K
C/K
S/C
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3. Next steps14
Implementation of the basic optimization model and test with theoretical data
Confirmation of real scenario and stakeholders involved
Collect additional requirements to the optimization model coming from realscenario stakeholders, other inputs (e.g. MHG)
Get real scenario input data for the model
Model tested with real data from real scenario
Data model to be integrated to SLOPE data model
Draft of deliverable to be sent to all partners
Feedback integration and final deliverable
Parallel sessionTo discussdeadlines andoptions to geta real scenario
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4. Contact info15
Emilio [email protected]
Loli [email protected]
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eting2015
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Thanks for your attention!!!
Technical Meeting19-21/jan/2015
Project SLOPESLOPE WP 2 Task 2.1Task 2.1: participantsTask 2.1: general descriptionMain ResultsIssues, delays and actionsWorking on a case studyRapidEye satellite imageryVegetation IndicesNDVI / NDRECCCIChlorophyll estimationNDVI Chl , UAV sensed dataFrom forest database to stem characterizationFrom data to information: the workflowConclusionsSlide Number 17Slide Number 18Slide Number 19Slide Number 20Slide Number 21Slide Number 22Slide Number 23Slide Number 24Slide Number 25Slide Number 26Slide Number 27Slide Number 28First Step - After Irish Tests Identification of The Test Sites in Piscine & MontesoverSecond Step Submit Flight Plans to ENAC (Italian Aviation Authority)WP2 Overall Progress of Tasks - Submitted and Pending deliverablesWP2 - Submitted and Pending DeliverablesWP2 Criticalities WP2 RecommendationsT2.3- TLS data and analysisD2.03 TLS data and analysisOverview of Forestry AnalysisTypes of Samples (plots and transects)Treemetrics Field Gathering AppField MeasurementField Data AnalysisTLS Analysis for Plot 2DemonstrationDemonstrationSpatial AnalysisDemonstrationDemonstrationDemonstrationDemonstrationDemonstrationDemonstrationDemonstrationDemonstrationDemonstrationDemonstrationDemonstrationSlide Number 57OutlookAimsTimeLineParticipants roleParticipants roleFunctionalitiesTwo levels of abstractionPlatform Core Integrating DataInput Data3D Harvesting Planner 3D Harvesting Planner3D Harvesting Planner3D Harvesting Planner3D Harvesting Planner3D Harvesting Planner3D Harvesting Planner3D Harvesting PlannerFuture RoadmapOpen DiscussionThank you for your attentionProject SLOPEIndex1. Task objectives1. Task objectives1. Task objectives2. Work done so far2. Work done so far2. Work done so far2.1. SLOPE logistic model2.1. SLOPE logistic model2.1. SLOPE logistic model2.1. SLOPE logistic model2.2. Data model3. Next steps4. Contact infoSlide Number 94