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Auteur Jean-Matthieu Monnet |
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Affiner la recherche Interroger des sources externesDetecting overmature forests with airborne laser scanning (ALS) / Marc Fuhr in Remote sensing in ecology and conservation, vol 8 n° 5 (October 2022)
Titre : Detecting overmature forests with airborne laser scanning (ALS) Type de document : Article/Communication Auteurs : Marc Fuhr, Auteur ; Etienne Lalechère, Auteur ; Jean-Matthieu Monnet, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : pp 731 - 743 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] Abies alba
[Termes IGN] âge du peuplement forestier
[Termes IGN] Bootstrap (statistique)
[Termes IGN] canopée
[Termes IGN] classification par forêts d'arbres décisionnels
[Termes IGN] coefficient de corrélation
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] Fagus sylvatica
[Termes IGN] Picea abies
[Termes IGN] Préalpes (France)
[Termes IGN] semis de points
[Termes IGN] structure d'un peuplement forestierRésumé : (auteur) Building a network of interconnected overmature forests is crucial for the conservation of biodiversity. Indeed, a multitude of plant and animal species depend on forest structural maturity attributes such as very large living trees and deadwood. LiDAR technology has proved to be powerful when assessing forest structural parameters, and it may be a promising way to identify existing overmature forest patches over large areas. We first built an index (IMAT) combining several forest structural maturity attributes in order to characterize the structural maturity of 660 field plots in the French northern Pre-Alps. We then selected or developed LiDAR metrics and applied them in a random forest model designed to predict the IMAT. Model performance was evaluated with the root mean square error of prediction obtained from a bootstrap cross-validation and a Spearman correlation coefficient calculated between observed and predicted IMAT. Predictors were ranked by importance based on the average increase in the squared out-of-bag error when the variable was randomly permuted. Despite a non-negligible RMSEP (0.85 for calibration and validation data combined and 1.26 for validation data alone), we obtained a high correlation (0.89) between the observed and predicted IMAT values, indicating an accurate ranking of the field plots. LiDAR metrics for height (maximum height and height heterogeneity) were among the most important metrics for predicting forest maturity, together with elevation, slope and, to a lesser extent, with metrics describing the distribution of echoes' intensities. Our framework makes it possible to reconstruct a forest maturity gradient and isolate maturity hot spots. Nevertheless, our approach could be considerably strengthened by taking into consideration site fertility, collecting other maturity attributes in the field or developing adapted LiDAR metrics. Including additional spectral or textural metrics from optical imagery might also improve the predictive capacity of the model. Numéro de notice : A2022-880 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.1002/rse2.274 Date de publication en ligne : 15/07/2022 En ligne : https://doi.org/10.1002/rse2.274 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102197
in Remote sensing in ecology and conservation > vol 8 n° 5 (October 2022) . - pp 731 - 743[article]
Titre : The Salem simulator version 2.0: a tool for predicting the productivity of pure and mixed stands and simulating management operations Type de document : Article/Communication Auteurs : Raphaël Aussenac, Auteur ; Thomas Pérot, Auteur ; Mathieu Fortin, Auteur ; François de Coligny, Auteur ; Jean-Matthieu Monnet, Auteur ; Patrick Vallet, Auteur Année de publication : 2021 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] biomasse
[Termes IGN] composition d'un peuplement forestier
[Termes IGN] modèle de simulation
[Termes IGN] modélisation de la forêt
[Termes IGN] peuplement mélangé
[Termes IGN] peuplement pur
[Termes IGN] production primaire brute
[Termes IGN] productivité biologique
[Vedettes matières IGN] ForesterieRésumé : (auteur) A growing body of research suggests mixed-species stands are generally more productive than pure stands. However, this effect of mixture depends on species assemblages and environmental conditions and forest managers often lack tools to assess the potential benefit of shifting from pure to mixed stands. Here we present Salem, a simulator filling this gap. Salem predicts the dynamics of pure and mixed even-aged stands and makes it possible to simulate management operations. Its purpose is to be a decision support tool for forest managers and stakeholders as well as for policy makers. It is also designed to conduct virtual experiments and help answer research questions.
In Salem, we parameterised the growth in pure stand of 12 common tree species of Europe and we assessed the effect of mixture on species growth for 24 species pairs (made up of the 12 species mentioned above). Thus, Salem makes it possible to compare the productivity of 36 different pure and mixed stands depending on environmental conditions and user-defined management strategies. Salem is essentially based on the analysis of National Forest Inventory data. A major outcome of this analysis is that we found species mixture most often increases species growth, in particular at the poorest sites. Independently from the simulator, foresters and researchers can also consider using the species-specific models that constitute Salem: the growth models including or excluding mixture effect, the bark models, the diameter distribution models, the circumference-height relationship models, as well as the volume equations for the 12 parameterised species. Salem runs on Windows, Linux, or Mac. Its user-friendly graphical user interface makes it easy to use for non-modellers. Finally, it is distributed under a LGPL license and is therefore free and open source.Numéro de notice : A2021-507 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.12688/openreseurope.13671.1 Date de publication en ligne : 04/06/2021 En ligne : https://doi.org/10.12688/openreseurope.13671.1 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98152
in Open Research Europe > vol 2021 [01/03/2021][article]
Titre : La télédétection aéroportée pour la gestion des territoires forestiers de montagne Type de document : Article/Communication Auteurs : Jean-Matthieu Monnet, Auteur ; Pierre Paccard, Auteur ; Catherine Riond, Auteur Année de publication : 2020 Article en page(s) : pp 64 - 69 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] abattage (sylviculture)
[Termes IGN] acquisition de données
[Termes IGN] diffusion de données
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] forêt alpestre
[Termes IGN] France (végétation)
[Termes IGN] gestion forestière
[Termes IGN] télémétrie laser aéroportéRésumé : (Auteur) Le Programme national de la forêt et du bois 2016-2026 affiche comme objectif « d’augmenter les prélèvements de bois en France tout en assurant le renouvellement de la forêt ». Les forêts de montagne qui représentent environ un quart de la surface forestière pourraient contribuer de manière significative à cet objectif. Les contraintes d’accès et de topographie rendent cependant difficile la gestion de ces forêts. En s’appuyant sur la technologie Lidar aéroporté, il est désormais possible de cartographier à haute résolution, sur des territoires de la taille d’un parc naturel régional, les caractéristiques forestières (ressource, accessibilité) intéressant les gestionnaires. La généralisation de l’outil pose cependant des questions de coût d’acquisition des données et de droit de leur diffusion auprès des acteurs de la filière. Numéro de notice : A2020-182 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueNat DOI : 10.14758/SET-REVUE.2020.3.12 Date de publication en ligne : 10/04/2020 En ligne : https://doi.org/10.14758/SET-REVUE.2020.3.12 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94956
in Sciences, eaux & territoires > n° 33 (avril 2020) . - pp 64 - 69[article]Fusion of 3D point clouds and hyperspectral data for the extraction of geometric and radiometric features of trees / Eduardo Alejandro Tusa Jumbo (2020)
Titre : Fusion of 3D point clouds and hyperspectral data for the extraction of geometric and radiometric features of trees Type de document : Thèse/HDR Auteurs : Eduardo Alejandro Tusa Jumbo, Auteur ; Jocelyn Chanussot, Directeur de thèse ; Jean-Matthieu Monnet, Encadrant ; Mauro Dalla Mura, Encadrant ; Jean-Baptiste Barré, Encadrant Editeur : Grenoble : Université de Grenoble Année de publication : 2020 Importance : 153 p. Format : 21 x 30 cm Note générale : Bibliographie
Thèse pour obtenir le grade de docteur de l'Université Grenoble Alpes, Signal image parole TelecomsLangues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] Alpes (France)
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] espèce végétale
[Termes IGN] extraction de la végétation
[Termes IGN] forêt alpestre
[Termes IGN] fusion de données multisource
[Termes IGN] image hyperspectrale
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] inventaire forestier local
[Termes IGN] semis de points
[Termes IGN] télédétection par lidar
[Termes IGN] télédétection spatialeIndex. décimale : THESE Thèses et HDR Résumé : (Auteur) Mountain forests provide environmental ecosystem services (EES) to communities: supplying of recreational landscapes, protection against natural hazards, supporting biodiversity conservation, among others. The preservation of these EES through space and time requires a good characterization of the resources. Especially in mountains, stands are very heterogeneous and timber harvesting is economically possible thanks to trees of higher value. This is why we want to be able to map each tree and estimate its characteristics, including quality, which is related to its shape and growth conditions. Field inventories are not able to provide a wall to wall cover of detailed tree-level information on a large scale. On the other hand, remote sensing tools seem to be a promising technology because of the time efficient and the affordable costs for studying forest areas. LiDAR data provide detailed information from the vertical distribution and location of the trees, but it is limited for mapping species. Hyperspectral data are associated to absorption features in the canopy reflectance spectrum, but is not effective for characterizing tree geometry. Hyperspectral and LiDAR systems provide independent and complementary data that are relevant for the assessment of biophysical and biochemical attributes of forest areas. This PhD thesis deals with the fusion of LiDAR and hyperspectral data to characterize individual forest trees. The leading idea is to improve methods to derive forest information at tree-level by extracting geometric and radiometric features. The contributions of this research work relies on: i) an updated review of data fusion methods of LiDAR and hyperspectral data for forest monitoring, ii) an improved 3D segmentation algorithm for delineating individual tree crowns based on Adaptive Mean Shift (AMS3D) and an ellipsoid crown shape model, iii) a criterion for feature selection based on random forests score, 5-fold cross validation and a cumulative error function for forest tree species classification. The two main methods used to derive forest information at tree level are tested with remote sensing data acquired in the French Alps. Note de contenu : 1 Introduction
1.1 Forest
1.2 Principles of remote sensing
1.3 Motivation
1.4 Objectives
1.5 Thesis structure
2. Data Fusion 15
2.1 Principles of fusion
2.2 Low-level
2.3 Medium-level
2.4 High-level
2.5 Applications
3. Material 32
3.1 Field data
3.2 Study areas
3.3 ALS and hyperspectral data
4 ITC Delineation
4.1 Introduction
4.2 MS segmentation
4.3 AMS3D based on crown shape model
4.4 Experimental analysis
4.5 Conclusion
5. Tree Species Classification
5.1 Introduction
5.2 Study area
5.3 Methodology
5.4 Results and discussion
5.5 Conclusions
6. Conclusion and work perspectives
6.1 How data processing methods are applied in each level of data fusion for forest monitoring?
6.2 How a crown shape model can improve the segmentation of individual tree crowns?
6.3 Which feature combination contribute to characterize the forest tree species composition?Numéro de notice : 26582 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Thèse française Note de thèse : Thèse de Doctorat : Signal image parole Telecoms : Grenoble : 2020 Organisme de stage : Grenoble Images Parole Signal Automatique GIPSA-lab nature-HAL : Thèse DOI : sans Date de publication en ligne : 30/07/2021 En ligne : https://tel.archives-ouvertes.fr/tel-03212453/document Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98403
Titre : The protective effect of forests against rockfalls across the French Alps: Influence of forest diversity Type de document : Article/Communication Auteurs : S. Dupire, Auteur ; Franck Bourrier, Auteur ; Jean-Matthieu Monnet, Auteur ; S. Bigot, Auteur ; Laurent Borgniet, Auteur ; Frédéric Berger, Auteur ; Thomas Curt, Auteur Année de publication : 2016 Article en page(s) : pp 269 - 279 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] Alpes (France)
[Termes IGN] biodiversité végétale
[Termes IGN] composition floristique
[Termes IGN] éboulement
[Termes IGN] forêt alpestre
[Termes IGN] gradient de pente
[Termes IGN] longueur
[Termes IGN] pente
[Termes IGN] risque naturel
[Termes IGN] service écosystémique
[Vedettes matières IGN] Ecologie forestièreRésumé : (auteur) The role of forests in the mitigation of natural hazards has been repeatedly demonstrated. The protective effect of mountain forests against rockfalls has especially been pointed out because it can constitute a natural and cost-effective protection measure in many situations. However, this particular ecosystem service may substantially differ according to the structure and the composition of the forest. Until now, the rockfall protection capability has always been studied at a local scale with only few forest types. Moreover, the comparison of the protective effect of the different forest types studied remains difficult because different methods and indicators were used. For the same reasons, it is not possible to draw conclusions about the influence of biological and structural diversities on the protection capabilities of forests from former works.
The aims of this study were (1) to quantitatively assess the protective effect of forests at the French Alps scale and build a classification based on the protection capability, (2) to compare the protective effect of the different forest types present in the French Alps and (3) to analyze the relations between the protective effect and the forest diversity in terms of stand structure and tree composition. For this purpose, the model Rockyfor3D was used to simulate the propagation of rocks on 3886 different forest plots spread over the whole French Alps. Quantitative indicators characterizing the protective effect of each forest plot were then calculated from the simulation results and used to perform the different analyses.
Our results emphasized the importance of taking into account the length of forest in the maximum slope direction for an accurate assessment of the protective effect. Thus, the minimum length of forest to get a reduction of 99% of the rockfall hazard was chosen as indicator to compare protective effect between forests. Using this indicator, half of the French Alpine forests presented a high level of protection after a short forested slope (190 m). A decreasing gradient in the protection capabilities was observed from forest types dominated by broadleaved species to those dominated by conifer species. Moreover, considering an equivalent proportion of conifers, stands dominated by shade-tolerant tree species showed better ability to reduce rockfall hazard. Finally, our study highlighted that a high biodiversity and a structural heterogeneity within the forest have a positive effect on the reduction of rockfalls hazard.Numéro de notice : A2016-766 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/FORET Nature : Article DOI : 10.1016/j.foreco.2016.10.020 En ligne : http://dx.doi.org/10.1016/j.foreco.2016.10.020 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82405
in Forest ecology and management > vol 382 (15 December 2016) . - pp 269 - 279[article]PermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalink
