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Auteur Lars T. Waser |
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Affiner la recherche Interroger des sources externesPredicting biomass dynamics at the national extent from digital aerial photogrammetry / Bronwyn Price in International journal of applied Earth observation and geoinformation, vol 90 (August 2020)
Titre : Predicting biomass dynamics at the national extent from digital aerial photogrammetry Type de document : Article/Communication Auteurs : Bronwyn Price, Auteur ; Lars T. Waser, Auteur ; Zuyuan Wang, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : n° 102116 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] biomasse aérienne
[Termes IGN] classification par forêts d'arbres décisionnels
[Termes IGN] hauteur de la végétation
[Termes IGN] image aérienne
[Termes IGN] indicateur de service écosystémique
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] lasergrammétrie
[Termes IGN] modèle numérique de surface de la canopée
[Termes IGN] photogrammétrie aérienne
[Termes IGN] puits de carbone
[Termes IGN] régression linéaire
[Termes IGN] série temporelle
[Termes IGN] Suisse
[Termes IGN] surveillance écologique
[Vedettes matières IGN] Inventaire forestierRésumé : (auteur) The demand for precise mapping and monitoring of forest resources, such as above ground biomass (AGB), has increased rapidly. National accounting and monitoring of AGB requires regularly updated information based on consistent methods. While remote sensing technologies such as airborne laser scanning (ALS) and digital aerial photogrammetry (DAP) have been shown to deliver the necessary 3D spatial data for AGB mapping, the capacity of repeat acquisition, remotely sensed, vegetation structure data for AGB monitoring has received less attention. Here, we use vegetation height models (VHMs) derived from repeat acquisition DAP data (with ALS terrain correction) to map and monitor woody AGB dynamics across Switzerland over 35 years (1983-2017 inclusive), using a linear least-squares regression approach. We demonstrate a consistent relationship between canopy height derived from DAP and field-based NFI measures of woody AGB across four inventory periods. Over the environmentally heterogeneous area of Switzerland, our models have a comparable predictive performance (R2 = 0.54) to previous work predicting AGB based on ALS metrics. Pearson correlation coefficients between measured and predicted changes in woody AGB over time increased with shorter time gaps ( Numéro de notice : A2020-717 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.1016/j.jag.2020.102116 Date de publication en ligne : 15/04/2020 En ligne : https://doi.org/10.1016/j.jag.2020.102116 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96292
in International journal of applied Earth observation and geoinformation > vol 90 (August 2020) . - n° 102116[article]
Titre : A meta-analysis and review of the literature on the k-Nearest Neighbors technique for forestry applications that use remotely sensed data Type de document : Article/Communication Auteurs : Gherardo Chirici, Auteur ; Matteo Mura, Auteur ; Daniel McInerney, Auteur ; Nicolas Py Année de publication : 2016 Article en page(s) : pp 282 - 294 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] classification barycentrique
[Termes IGN] forêt
[Termes IGN] image aérienne
[Termes IGN] image satellite
[Termes IGN] plus proche voisin, algorithme duRésumé : (auteur) The k-Nearest Neighbors (k-NN) technique is a popular method for producing spatially contiguous predictions of forest attributes by combining field and remotely sensed data. In the framework of Working Group 2 of COST Action FP1001, we reviewed the scientific literature for forestry applications of k-NN. Information available in scientific publications on this topic was used to populate a database that was then used as the basis for a meta-analysis. We extracted qualitative and quantitative information from 260 experimental tests described in 148 scientific papers. The papers represented a geographic range of 26 countries and a temporal range from 1981 to 2013. Firstly, we describe the literature search and the information extracted and analyzed. Secondly, we report the results of the meta-analysis, especially with respect to estimation accuracies reported for k-NN applications for different configurations, different forest environments, and different input information. We also provide a summary of results that may reasonably be expected for those planning a k-NN application using remotely sensed data from different sensors and for different forest attributes. Finally, we identify some methodological publications that have advanced the state of the science with respect to k-NN. Numéro de notice : A2016--196 Affiliation des auteurs : IGN+Ext (2012-2019) Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2016.02.001 Date de publication en ligne : 13/02/2016 En ligne : https://doi.org/10.1016/j.rse.2016.02.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91859
in Remote sensing of environment > vol 176 (April 2016) . - pp 282 - 294[article]National Forest Inventories : assessment of wood availability and use, ch. Progress towards harmonised assessment of availability and use of wood resources in Europe / Claude Vidal (2016)
Titre de série : National Forest Inventories : assessment of wood availability and use, ch Titre : Progress towards harmonised assessment of availability and use of wood resources in Europe Type de document : Chapitre/Contribution Auteurs : Claude Vidal Editeur : Springer International Publishing Année de publication : 2016 Importance : pp 81 - 104 Note générale : bibliographie Langues : Français (fre) Descripteur : [Termes IGN] Europe (géographie politique)
[Termes IGN] harmonisation des données
[Termes IGN] Inventaire Forestier National (organisme France)
[Termes IGN] ressources forestières
[Vedettes matières IGN] Inventaire forestierRésumé : (auteur) A willingness to create precise definitions for terms describing forest resources between the National Forest Inventory (NFIs) data providers and UN international organisations dates back to the late nineties. European NFIs enhanced this harmonisation process by introducing the concepts of (i) reference definitions agreed by consensus but enforcing a more rigorous interpretation of such definitions (ii) bridges that allow for the transformation of national data into comparable data using an associated reference definition. Illustrative examples of some key definitions and case studies for generating comparable data are the core focus of this chapter. Discussions on recent harmonisation processes, including the way of working and a framework for future proposals are given by way of conclusion. Numéro de notice : H2016-006 Affiliation des auteurs : LIF+Ext (2012-2019) Thématique : FORET Nature : Chapître / contribution nature-HAL : ChOuvrScient DOI : 10.1007/978-3-319-44015-6_4 En ligne : http://dx.doi.org/10.1007/978-3-319-44015-6_4 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83818
Titre : Comparison of large-area land cover products with national forest inventories and CORINE land cover in the European Alps Type de document : Article/Communication Auteurs : Lars T. Waser, Auteur ; Markus Schwarz, Auteur Année de publication : 2006 Article en page(s) : pp 196 - 207 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Alpes
[Termes IGN] analyse comparative
[Termes IGN] cohérence des données
[Termes IGN] Corine Land Cover
[Termes IGN] image NOAA-AVHRR
[Termes IGN] image Terra-MODIS
[Termes IGN] image TIROS-AVHRR
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] inventaire forestier national (données France)
[Termes IGN] Italie
[Termes IGN] montagne
[Termes IGN] SuisseRésumé : (auteur) Considerable efforts have recently resulted in the development of global land cover data at large spatial scales. The main objective of this study is a comparison of different AVHRR- and MODIS-based forest and land cover products at the scale of the European Alps: a large natural ecosystem that is exposed to both natural environmental threats and human impacts and exploitation. In a first test, the accuracy of land cover products in predicting the overall amount of forest across national boundaries was assessed using national forest inventory statistics. Both variants of forest class combinations resulted in a general overestimation of the forest area. The IGBP 2.0 cover performed best with an overall mean absolute error of 13% and a bias of 0%. In a second test, large-area land cover products were tested for accuracy in predicting 13 aggregated land cover types in a spatially explicit manner using CORINE land cover as reference dataset. Due to data inconsistencies, partly insufficient spatial resolution, steep terrain and land use heterogeneity of the European Alps, only partly satisfactory results were obtained. Numéro de notice : A2006-304 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.1016/j.jag.2005.10.001 Date de publication en ligne : 15/12/2005 En ligne : https://doi.org/10.1016/j.jag.2005.10.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96043
in International journal of applied Earth observation and geoinformation > vol 8 n° 3 (September 2006) . - pp 196 - 207[article]
Titre : Detection of storm losses in alpine forest areas by different methodical approaches using high-resolution satellite data [pixel-based classification and object-oriented classification] Type de document : Article/Communication Auteurs : Marcel Schwarz, Auteur ; C. Steinmeier, Auteur ; Lars T. Waser, Auteur Editeur : Lisse et Amsterdam : Balkema (August Aimé) Année de publication : 2001 Conférence : EARSeL 2001, 21st international symposium, Observing our environment from space : news solutions for a new millennium 14/05/2001 16/05/2001 Paris France Importance : pp 251 - 257 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Alpes
[Termes IGN] analyse comparative
[Termes IGN] classification
[Termes IGN] dommage matériel
[Termes IGN] forêt
[Termes IGN] image Ikonos
[Termes IGN] image SPOT
[Termes IGN] risque naturel
[Termes IGN] segmentation d'image
[Termes IGN] Suisse
[Termes IGN] tempête
[Termes IGN] texture d'imageRésumé : (Auteur) Based on the detection of storm losses in Swiss alpine forest areas, two different digital classification approaches were compared. In contrast to the pixel based classification we investigated an object-oriented classification procedure. The eCognition software package of Definiens offers this possibility. The comparison was performed for images with different spatial resolution - very high resolution images of IKONOS, and images of SPOT in the sharpened mode. The evaluation of the IKONOS image indicated a significantly higher accuracy for the object-oriented classification approach than for the pixel-based method. The eCognition software handles the high level of detail and the associated high texture better than the pixelbased parallelepiped-algorithm. The quality of the pixel-based approach, which takes into account only the spectral information and some derived data-products is limited for very high resolution images. The classification of the SPOT presented approximately the same results for both methods. Numéro de notice : C2001-031 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Communication DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64939
