Workshop FORESEE

Forestry applications of remote sensing technologies

For 3 years now, the FORESEE consortium has investigated remote sensing methodologies to meet stakeholders’ expectations in the wood and fuel wood sectors. In order to analyse forest resources that can be mobilized in supply areas, approaches were developed in different French contexts, i.e. for a great diversity of forest environments, focusing on the 3 following topics:

  • Wood resource,
  • Productivity,
  • Road and forest paths network.

Furthermore, z-Forest, a new generation web tool, has been developed to provide functionalities to display large geo-databases and allow navigation within the spatial data (5,2 billion points), as well as information extraction.

In order to share the results of the FORESEE project and discuss some scientific issues on the basis of other studies addressing similar topics, we invite you to participate to the scientific workshop “Remote sensing for forest resource assessment and optimized wood mobilization”. The audience will be composed of remote sensing and forest scientists.

In each session, presentations of research conducted in the frame of the FORESEE project will alternate with presentations of work conducted by invited speakers or presentations of operational implementations.

Sponsors:

anrlogo-arbre  logo-lorraine

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Program

Welcome: F. de Morogues (FCBA, FORESEE leader) and L. Saint André (INRA).

Session « Estimation of forest productivity »

Speaker

 

Title

1.1

T. Bélouard (MAAF/DSF)

 

Pinastéréo – Assessment of the volume of woody biomass in the ‘Landes de Gascogne’ forest using Pléiades stereoscopic imagery

1.2

X. Lucie (IRSTEA)

Impact of image resolution on the quality of a photogrammetric DSM for forestry

1.3

L. Saint-André (INRA)

Tree growth and stand productivity, principles and concepts.

1.4

J. Bock (ONF)

Towards generic dominante height modelisation using multi-echo LIDAR data.

1.5

J.P. Burochin (INRA)

Photogrammetric-based forest growth estimation from historical aerial surveys

OLYMPUS DIGITAL CAMERA

 

Session « Estimation model based on Lidar Data set »

Speaker

 

Title

2.1

M. Bouvier (IRSTEA)

Generalizing predictive LiDAR models of forest inventory attributes using an area‑based approach

2.2

J.P. Renaud (ONF)

Contributions of plot level Lidar tree segmentation metrics to improve forest attribute estimations.

2.3

L. Saint-André (INRA)

Combining LIDAR and growth and yield models to assess standing biomass in various forest ecosystems

2.4

C. Vega (IGN)

Forest tree extraction from 3D point clouds: the PTrees approach

2.5

J.P. Renaud (ONF)

Method comparisons of forest attribute estimations from different remote sensing sources, including Lidar. The Vosges case study.

2.6

J.M. Monnet (IRSTEA)

A. Munoz (ONF)

Compartment-level validation of lidar area-based prediction of forest parameters

2.7

J. Bock, A. Munoz

(ONF)

Using empirical modelisation for dendrometric prediction at stand level.

2.8

G. Vincent (IRD)

Predicting tropical forest biomass with aerial Lidar: some current issues and future challenges

 OLYMPUS DIGITAL CAMERA

Session « Road detection and spatialized decision support tool »

Speaker

 

Title

3.1

A. Munoz (ONF)

Assessment of DTM quality generated from airborne LiDAR in mountain forests

3.2

N. Chehata (IPB)

Large-scale road detection in mountainous areas using airborne Lidar data

3.3

T. Carrette (FCBA)

A spatialized decision support tool for wood mobilization

3.4

O. Valeria(IRSTEA/UQAT)

Wood procurement planning assisted by a multicriteria decision tool

Session « From models to maps »

Speaker

 

Title

4.1

N. Py (IGN)

Predictive mapping of forested variables through random forest k-nearest neighbor case studies using high resolution auxiliary data

4.2

T. Bélouard (MAAF/DSF)

Remote sensing-based information and accuracy of a forest inventory: Application to the (post-)stratification

Session « From research to implementation »

Speaker

 

Title

5.1

A. Piboule (ONF)

Computree: a collaborative platform to analyze 3D point clouds of forests

5.2

D. Vandergucht (IGN)

The z-Forest plateform

5.3

A. Jolly (ONF)

From research to application: scenario for the French Forestry Office

Session « Cross the data »

Speaker

 

Title

6.1

M. Pierrot-Deseilligny (ENSG)

Photogrammetry for forestry : why it should theoretically not  work

6.2

D. Guyon (INRA)

Modelling forest variables from VHR satellite optical imagery.

6.3

P. Couteron (IRD)

Assessing aboveground tropical forest biomass from optical very high resolution images

6.4

D. Vandergucht(IGN)

Multi-source remote sensing data processing for large-scale individual tree analysis

6.5

N. Chehata (IPB)

Potential of multi-source data for forest variable retrieval

6.6

L. Villard (CESBIO)

Synthetic Aperture Radar for Forest Remote Sensing

 Conclusion