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Repetitive interpolation: A robust algorithm for DTM generation from aerial Laser scanner data in forested terrain / A. Kobler in Remote sensing of environment, vol 108 n° 1 (15/05/2007)
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Titre : Repetitive interpolation: A robust algorithm for DTM generation from aerial Laser scanner data in forested terrain Type de document : Article/Communication Auteurs : A. Kobler, Auteur ; Norbert Pfeifer, Auteur ; P. Ogrine, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 9 - 23 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] forêt tempérée
[Termes IGN] interpolation
[Termes IGN] lasergrammétrie
[Termes IGN] modèle numérique de terrain
[Termes IGN] semis de points
[Termes IGN] télémétrie laser aéroportéRésumé : (Auteur) We present a new algorithm for digital terrain model (DTM) generation from an airborne laser scanning point cloud, called repetitive interpolation (REIN). It is especially applicable in steep, forested areas where other filtering algorithms typically have problems distinguishing between ground returns and off-ground points reflected in the vegetation. REIN can produce a DTM either in a vector grid or in a TIN data structure. REIN is applied after an initial filtering, which involves removal of all negative outliers and removal of many, but not necessarily all, off-ground points by some existing filtering algorithm. REIN makes use of the redundancy in the initially filtered point cloud (FPC) in order to mitigate the effect of the residual off-ground points. Multiple independent random samples are taken from the initial FPC. From each sample, ground elevation estimates are interpolated at individual DTM locations. Because the lower bounds of the distributions of the elevation estimates at each DTM location are almost insensitive to positive outliers, the true ground elevations can be approximated by adding the global mean offset to the lower bounds, which is estimated from the data. The random sampling makes REIN unique among the methods of filtering airborne laser data. While other filters behave deterministically, always generating a filter error in special situations, in REIN, because of its random aspects, these errors do not occur in each sample, and typically cancel out in the final computation of DTM elevations. Reduction of processing time by parallelization of REIN is possible. REIN was tested in a test area of 2 hectares, encompassing steep relief covered by mixed forest. An Optech ALTM 1020 lidar was used, with a flying height of 260–300 m above the ground, the beam divergence was 0.3 mrad, and the obtained point cloud density for the last returns was 8.5 m- 2. A DTM grid was generated with 1 m horizontal resolution. The root mean square elevation error of the DTM ranged between 1 0.16 m and 1 0.37 m, depending on REIN sampling rate and number of samples taken, the lowest value achieved with 4 samples and using a 23% sampling rate. The paper also gives a short overview on existing filtering algorithms. Copyright Elsevier Numéro de notice : A2007-216 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.10.013 En ligne : https://doi.org/10.1016/j.rse.2006.10.013 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28579
in Remote sensing of environment > vol 108 n° 1 (15/05/2007) . - pp 9 - 23[article]
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Titre : Vers un fond vert commun IGN-IFN Type de document : Article/Communication Auteurs : Françoise de Blomac, Auteur Année de publication : 2007 Article en page(s) : pp 14 - 14 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] algorithme de Douglas-Peucker
[Termes IGN] appariement de données localisées
[Termes IGN] couche thématique
[Termes IGN] couvert forestier
[Termes IGN] données de terrain
[Termes IGN] Institut géographique national (France)
[Termes IGN] Inventaire Forestier National (organisme France)
[Termes IGN] photo-interprétation
[Termes IGN] prise de vues
[Termes IGN] traitement d'image
[Termes IGN] végétation
[Termes IGN] zone rurale
[Termes IGN] zone urbaineRésumé : (Auteur) L'Institut Géographique National et l'Inventaire Forestier National cartographient tous deux les forêts françaises. Issus de prises de vue et de chaînes de traitements différentes, ces deux "fonds verts" se ressemblent assez peu, alors qu'ils décrivent plus ou moins les mêmes objets. Afin d'homogénéiser cette production, ce qui devrait permettre de réaliser des économies et de produire de meilleures couches de données, les deux organismes mettent au point une nouvelle méthode de génération automatique du fond vert, avec l'aide du laboratoire COGIT de l'IGN. Copyright SIG La Lettre Numéro de notice : A2007-144 Affiliation des auteurs : non IGN Thématique : FORET/GEOMATIQUE/INFORMATIQUE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28507
in SIG la lettre > n° 86 (avril 2007) . - pp 14 - 14[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 286-07041 RAB Revue Centre de documentation En réserve L003 Disponible LUCC impact on sediment loads in sub-tropical rainy areas / X. Chen in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 3 (March 2007)
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Titre : LUCC impact on sediment loads in sub-tropical rainy areas Type de document : Article/Communication Auteurs : X. Chen, Auteur ; S. Bao, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 319 - 327 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] agriculture
[Termes IGN] analyse spatiale
[Termes IGN] bassin hydrographique
[Termes IGN] changement d'occupation du sol
[Termes IGN] Chine
[Termes IGN] couvert forestier
[Termes IGN] lac
[Termes IGN] sédimentation
[Termes IGN] surface cultivée
[Termes IGN] système d'information géographique
[Termes IGN] utilisation du sol
[Termes IGN] zone tropicale humideRésumé : (Auteur) In this paper, we evaluate the impacts of land-use/cover changes (LUCC) on sediment loads at the outlets of five sub watersheds of the Poyang Lake watershed by integrating remote sensing and GIS with statistical analysis. The intensively farmed watershed is characterized by a mountainous and hilly topography and a rainy climate. The primary goal of this paper is to help a better understanding of land-use/cover change and its driving forces. We discuss spatio temporal variations in rainfall and sediment loads and identify factors contributing to those variations, analyze the comprehensive impacts of land-use/cover change on changing climate and human activities, and conclude that the changing rates of forest cover and climate regimes are primary factors for sediment discharges in the Poyang Lake watershed. Our results suggest that the eco-system still have large capacities to support human activities in the area. Copyright ASPRS Numéro de notice : A2007-131 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.73.3.319 En ligne : https://doi.org/10.14358/PERS.73.3.319 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28494
in Photogrammetric Engineering & Remote Sensing, PERS > vol 73 n° 3 (March 2007) . - pp 319 - 327[article]Spectral analysis of coastal vegetation and land cover using AISA+ hyperspectral data / R. Jensen in Geocarto international, vol 22 n° 1 (March - May 2007)
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Titre : Spectral analysis of coastal vegetation and land cover using AISA+ hyperspectral data Type de document : Article/Communication Auteurs : R. Jensen, Auteur ; P. Mausel, Auteur ; N. Dias, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 17 - 28 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] étalonnage des données
[Termes IGN] image AISA+
[Termes IGN] image hyperspectrale
[Termes IGN] mangrove
[Termes IGN] réflectance végétale
[Termes IGN] Texas (Etats-Unis)Résumé : (Auteur) This paper describes a spectral analysis of several coastal land cover types in South Padre Island, Texas using AISA+ hyperspectral remote sensing data. AISA+ hyperspectral data (1.5 metre) were acquired throughout the area on 9 March 2005. Data over mangrove areas were converted to percent reflectance using four 88 metre reflectance tarps (4%, 16%, 32% and 48%) and empirical line calibration. These data were then compared to percent reflectance values of other terrestrial features to determine the ability of AISA+ data to distinguish features in coastal environments. Results suggest that these data may be appropriate to discriminate coastal mangrove vegetation and provide researchers with high resolution spatial and spectral information to more effectively manage coastal ecosystems. Copyright Taylor & Francis Numéro de notice : A2007-457 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040701204354 Date de publication en ligne : 24/05/2007 En ligne : https://doi.org/10.1080/10106040701204354 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28820
in Geocarto international > vol 22 n° 1 (March - May 2007) . - pp 17 - 28[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-07011 RAB Revue Centre de documentation En réserve L003 Disponible Fusion of imaging spectrometer and LIDAR data over combined radiative transfer models for forest canopy characterization / B. Koetz in Remote sensing of environment, vol 106 n° 4 (28/02/2007)
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Titre : Fusion of imaging spectrometer and LIDAR data over combined radiative transfer models for forest canopy characterization Type de document : Article/Communication Auteurs : B. Koetz, Auteur ; G. Sun, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 449 - 459 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] canopée
[Termes IGN] données lidar
[Termes IGN] estimation statistique
[Termes IGN] forêt
[Termes IGN] fusion de données
[Termes IGN] hauteur des arbres
[Termes IGN] lasergrammétrie
[Termes IGN] Leaf Area Index
[Termes IGN] méthode robuste
[Termes IGN] modèle de transfert radiatif
[Termes IGN] modèle numérique de surface
[Termes IGN] spectrométrieRésumé : (Auteur) A comprehensive canopy characterization of forests is derived from the combined remote sensing signal of imaging spectrometry and large footprint LIDAR. The inversion of two linked physically based Radiative Transfer Models (RTM) provided the platform for synergistically exploiting the specific and independent information dimensions obtained by the two earth observation systems. Due to its measurement principle, LIght Detection And Ranging (LIDAR) is particularly suited to assess the horizontal and vertical canopy structure of forests, while the spectral measurements of imaging spectrometry are specifically rich on information for biophysical and -chemical canopy properties. In the presented approach, the specific information content inherent to the observations of the respective sensor was not only able to complement the canopy characterization, but also helped to solve the ill-posed problem of the RTM inversion. The theoretical feasibility of the proposed earth observation concept has been tested on a synthetic data set generated by a forest growth model for a wide range of forest stands. Robust estimates on forest canopy characteristics were achieved, ranging from maximal tree height, fractional cover (fcover), Leaf Area Index (LAI) to the foliage chlorophyll and water content. The introduction of prior information on the canopy structure derived from large footprint LIDAR observations significantly improved the retrieval performance relative to estimates based solely on spectral information. Copyright Elsevier Numéro de notice : A2007-069 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.09.013 En ligne : https://doi.org/10.1016/j.rse.2006.09.013 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28434
in Remote sensing of environment > vol 106 n° 4 (28/02/2007) . - pp 449 - 459[article]Quality assessment of SRTM C- and X-band interferometric data: Implications for the retrieval of vegetation canopy height / W.S. Walker in Remote sensing of environment, vol 106 n° 4 (28/02/2007)
PermalinkRadiometric correction of hemispherical images / A. Kuusk in ISPRS Journal of photogrammetry and remote sensing, vol 61 n° 6 (February 2007)
PermalinkReflectance seasonality and its relation to the canopy leaf area index in an eastern Siberian larch forest: Multi-satellite data and radiative transfer analyses / H. Kobayashi in Remote sensing of environment, vol 106 n° 2 (30/01/2007)
PermalinkDigital terrain model on vegetated areas: joint use of airborne Lidar data and optical images / Frédéric Bretar (2007)
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PermalinkEstimation of local forest attributes, utilizing two-phase sampling and auxiliary data / Sakari Tuominen (2007)
PermalinkFifth ministerial conference on the protection of forest in Europe / Ministerial conference on the protection of forests in Europe (2007)
PermalinkPermalinkQuelle coopération internationale française pour faire face au défi climatique ? la séquestration biologique du carbone / Mission interministérielle de l' effet de serre (2007)
PermalinkWoody vegetation increase in Alpine areas: a proposal for a classification and validation scheme / M. Maggi in International Journal of Remote Sensing IJRS, vol 28 n° 1-2 (January 2007)
PermalinkNeural network estimation of LAI, fAPAR, fCover and LAI*Cab, from top of canopy MERIS reflectance data: principles and validation / Cédric Bacour in Remote sensing of environment, vol 105 n° 4 (30/12/2006)
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