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Joint processing of Landsat and ALOS-PALSAR data for forest mapping and monitoring / E. Lehmann in IEEE Transactions on geoscience and remote sensing, vol 50 n° 1 (January 2012)
[article]
Titre : Joint processing of Landsat and ALOS-PALSAR data for forest mapping and monitoring Type de document : Article/Communication Auteurs : E. Lehmann, Auteur ; P. Caccetta, Auteur ; Z.S. Zhou, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 55 - 67 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse discriminante
[Termes IGN] carte de la végétation
[Termes IGN] forêt équatoriale
[Termes IGN] fusion d'images
[Termes IGN] image ALOS-PALSAR
[Termes IGN] image Landsat-TM
[Termes IGN] image optique
[Termes IGN] image radar
[Termes IGN] surveillance forestière
[Termes IGN] TasmanieRésumé : (Auteur) Recent technological advances in the field of radar remote sensing have allowed the deployment of an increasing number of new satellite sensors. These provide an important source of Earth observation data, which add to the currently existing optical data sets. In parallel, the development of robust methods for global forest monitoring and mapping is becoming increasingly important. As a consequence, there is significant interest in the development of global monitoring systems that are able to take advantage of the potential synergies and complementary nature of optical and radar data. This paper proposes an approach for the combined processing of Landsat and ALOS-PALSAR data for the purpose of forest mapping and monitoring. This is achieved by incorporating the PALSAR data into an existing operational Landsat-based processing system. Using a directed discriminant technique, a probability map of forest presence/absence is first generated from the PALSAR imagery. This SAR classification data is then combined with a time series of similar Landsat-based maps within a Bayesian multitemporal processing framework, leading to the production of a time series of joint radar-optical maps of forest extents. This approach is applied and evaluated over a pilot study area in northeastern Tasmania, Australia. Experimental outcomes of the proposed joint processing framework are provided, demonstrating its potential for the integration of different types of remote sensing data for forest monitoring purposes. Numéro de notice : A2012-031 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2011.2171495 Date de publication en ligne : 14/11/2011 En ligne : https://doi.org/10.1109/TGRS.2011.2171495 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31479
in IEEE Transactions on geoscience and remote sensing > vol 50 n° 1 (January 2012) . - pp 55 - 67[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2012011 RAB Revue Centre de documentation En réserve L003 Disponible Potential of an ultraviolet, medium-footprint lidar prototype for retrieving forest structure / Tristan Allouis in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 supplement (December 2011)
[article]
Titre : Potential of an ultraviolet, medium-footprint lidar prototype for retrieving forest structure Type de document : Article/Communication Auteurs : Tristan Allouis, Auteur ; Sylvie Durrieu, Auteur ; Patrick Chazette, Auteur ; J. Bailly, Auteur ; et al., Auteur ; Cédric Vega , Auteur Année de publication : 2011 Article en page(s) : pp 92 - 102 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] Aquitaine
[Termes IGN] atténuation du signal
[Termes IGN] correction du signal
[Termes IGN] données lidar
[Termes IGN] empreinte
[Termes IGN] forêt tempérée
[Termes IGN] géostatistique
[Termes IGN] hauteur des arbres
[Termes IGN] instrument aéroporté
[Termes IGN] Landes (40)
[Termes IGN] Pinophyta
[Termes IGN] rayonnement ultraviolet
[Termes IGN] surveillance forestièreRésumé : (Auteur) The aim of the paper is to carry on methodological development for retrieving forest parameters from medium-footprint lidar signals and for assessing the performance of different sampling strategies. The 2.4 m footprint lidar prototype (a profiler instrument using an ultraviolet laser) was flown above two different maritime pine stands: a young plantation (10 years old) and a mature, semi-natural stand (55 years old), both in the Landes forest, France. The vertical distribution of lidar measurements was studied for retrieving forest height parameters (mean total height, mean crown height and top height). The processing algorithm was based on an aggregation of successive signals followed by the correction of the signal attenuation along the travel through the vegetation. The performance of different sampling strategies was assessed by comparing the results for the full dataset (several fight lines over the stands) and for only a data subset (one flight line). In addition, the horizontal distribution of height measurements was studied for identifying the planting pattern of the stands and assessing the tree spacing of the semi-natural parcel, using geostatistics. We obtained a submetric estimation error (lidar – reference) of 0.2 m on the mean total height in the young stand (-0.7 m in the mature stand), a bias of -0.3 m (-0.3 m) on the mean crown height measurement and of 0.6 m (-1.0 m) on the top height. The planting pattern was also successfully identified, and the distance between trees was assessed in agreement with ground measurements. Having demonstrated its ability to assess forest structure, even with a unique flight line, the lidar prototype seems to be a valuable sensor for performing fast forest inventory at regional scale. In addition, this sensor opens the way to the development of bi-functional lidar for both atmosphere and vegetation remote sensing. Numéro de notice : A2011-522 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2011.08.007 En ligne : https://doi.org/10.1016/j.isprsjprs.2011.08.007 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31416
in ISPRS Journal of photogrammetry and remote sensing > vol 66 n° 6 supplement (December 2011) . - pp 92 - 102[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2011071 SL Revue Centre de documentation Revues en salle Disponible Discovery and integration of Web 2.0 content into Geospatial Information Infrastructures : a use case in wild fire monitoring / M. Nunez-Redo (22/08/2011)
Titre : Discovery and integration of Web 2.0 content into Geospatial Information Infrastructures : a use case in wild fire monitoring Type de document : Article/Communication Auteurs : M. Nunez-Redo, Auteur ; L. Diaz, Auteur ; J. Gil, Auteur ; et al., Auteur Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 22/08/2011 Collection : Lecture notes in Computer Science, ISSN 0302-9743 num. 6908 Conférence : ARES 2011, 6th international conference on availability, reliability and security : Availability, Reliability and Security for Business, Enterprise and Health Information Systems 22/08/2011 25/08/2011 Vienne Autriche Proceedings Springer Importance : pp 50 - 68 Format : 21 x 30 cm Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] données localisées des bénévoles
[Termes IGN] incendie de forêt
[Termes IGN] infrastructure mondiale des données localisées
[Termes IGN] participation du public
[Termes IGN] recherche d'information géographique
[Termes IGN] service web géographique
[Termes IGN] surveillance forestière
[Termes IGN] web 2.0Résumé : (Auteur) Efficient environment monitoring has become a major concern for society to guarantee sustainable development. For instance, forest fire detection and analysis is important to provide early warning systems and identify impact. In this environmental context, availability of up-to-date information is very important for reducing damages caused. Environmental applications are deployed on top of Geospatial Information Infrastructures (GIIs) to manage information pertaining to our environment. Such infrastructures are traditionally top-down infrastructures that do not consider user participation. This provokes a bottleneck in content publication and therefore a lack of content availability. On the contrary mainstream IT systems and in particular the emerging Web 2.0 Services allow active user participation that is becoming a massive source of dynamic geospatial resources. In this paper, we present a web service that implements a standard interface, offers a unique entry point for spatial data discovery, both in GII services and web 2.0 services. We introduce a prototype as proof of concept in a forest fire scenario, where we illustrate how to leverage scientific data and web 2.0 content. Numéro de notice : C2011-050 Affiliation des auteurs : non IGN Thématique : FORET/GEOMATIQUE/SOCIETE NUMERIQUE Nature : Communication DOI : 10.1007/978-3-642-23300-5_5 En ligne : https://doi.org/10.1007/978-3-642-23300-5_5 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64359 Using GVSIG'S remote sensing extension: forest fire monitoring / A. Altobelli in Geoinformatics, vol 13 n° 3 (01/04/2010)
[article]
Titre : Using GVSIG'S remote sensing extension: forest fire monitoring Type de document : Article/Communication Auteurs : A. Altobelli, Auteur ; A. Sgambati, Auteur ; F. Bader, Auteur ; et al., Auteur Année de publication : 2010 Article en page(s) : pp 44 - 47 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] biomasse (combustible)
[Termes IGN] GvSIG
[Termes IGN] image Landsat-ETM+
[Termes IGN] image Landsat-TM
[Termes IGN] incendie de forêt
[Termes IGN] indice de végétation
[Termes IGN] Slovénie
[Termes IGN] surveillance forestièreRésumé : (Auteur) Ecosystem monitoring after a forest fire is based on the study of vegetation dynamics. Remote-sensing analysis makes an important contribution to finding quantitative differences in green biomass and soil-plant water amounts, permitting the examination of the ecosystem's capacity to return to its former condition (i.e. before the fire), namely its resilience. This article describes ecosystem monitoring in Slovenia, where Landsat data from this area has been analyzed with gvSIG's remote sensing extension. Copyright GEOinformatics Numéro de notice : A2010-138 Affiliation des auteurs : non IGN Thématique : FORET/GEOMATIQUE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30333
in Geoinformatics > vol 13 n° 3 (01/04/2010) . - pp 44 - 47[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 262-2010031 SL Revue Centre de documentation Revues en salle Disponible Lidar mapping of canopy gaps in continuous cover forests : a comparison of canopy height model and point cloud based techniques / Rachel Gaulton in International Journal of Remote Sensing IJRS, vol 31 n° 5 (March 2010)
[article]
Titre : Lidar mapping of canopy gaps in continuous cover forests : a comparison of canopy height model and point cloud based techniques Type de document : Article/Communication Auteurs : Rachel Gaulton, Auteur ; T.J. Malthus, Auteur Année de publication : 2010 Conférence : Silvilaser 2008, 8th international conference on Lidar applications in forest assessment and inventory 17/09/2008 19/09/2008 Edimbourg Royaume-Uni Proceedings Taylor&Francis Article en page(s) : pp 1193 - 1211 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] canopée
[Termes IGN] couvert forestier
[Termes IGN] données lidar
[Termes IGN] hauteur des arbres
[Termes IGN] semis de points
[Termes IGN] surveillance forestière
[Termes IGN] système d'information géographiqueRésumé : (Auteur) In continuous cover forest systems, canopy gaps are created by management activities with an aim of encouraging natural regeneration and of increasing structural heterogeneity. Light Detection and Ranging (LiDAR) may provide a more accurate means to assess gap distribution than ground survey, allowing more effective monitoring. This paper presents a new approach to gap delineation, based on identifying gaps directly from the point cloud and avoiding the need for interpolation of returns to a canopy height model (CHM). Areas of canopy are identified through local maxima identification, filtering and clustering of the point cloud, with gaps subsequently delineated in a GIS environment. When compared to field surveyed gap outlines, the algorithm has an overall accuracy of 88% for data with a high LiDAR point density (11.4 returns per m2) and accuracy of up to 77% for lower density data (1.2 returns per m2). The method provides an increase in overall and Producer's accuracy of 4 and 8% respectively, over a method based on the use of a CHM. The estimation of total gap area is improved by, on average, 16% over the CHM based approach. Results indicate that LiDAR data can be used accurately to delineate gaps in managed forests, potentially allowing more accurate and spatially explicit modelling of understorey light conditions. Copyright Taylor & Francis Numéro de notice : A2010-251 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160903380565 En ligne : https://doi.org/10.1080/01431160903380565 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30445
in International Journal of Remote Sensing IJRS > vol 31 n° 5 (March 2010) . - pp 1193 - 1211[article]Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité 080-2010031 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Des agents spatiaux pour l'intégration multi-échelle de modèles de dynamiques spatiales : application à la modélisation et la simulation de la dynamique du risque d'incendie de forêt / E. Maille in Revue internationale de géomatique, vol 19 n° 4 (décembre 2009 – février 2010)PermalinkLand use monitoring by remote sensing in tropical forest areas in support of the Kyoto Protocol: the case of French Guiana / Nicolas Stach in International Journal of Remote Sensing IJRS, vol 30 n° 19 (October 2009)PermalinkModelling ozone fluxes to forests for risk assessment: status and prospects / Juha-Pekka Tuovinen in Annals of Forest Science, Vol 66 n° 4 (June 2009)PermalinkRENECOFOR. Dix ans de suivi de la végétation forestière : aspects méthodologiques et évolution temporelle de la flore (1994/1995-2005) / Frédéric Archaux (2009)PermalinkFighting wildfires with GPS in Portugal / E. Van Rees in Geoinformatics, vol 11 n° 7 (01/11/2008)PermalinkLa télédétection au service de la forêt / Françoise de Blomac in SIG la lettre, n° 93 (janvier 2008)PermalinkActive forest monitoring in Uttaranchal state, India using multi-temporal DMSP-OLS and MODIS data / T.R. Kiranchand in International Journal of Remote Sensing IJRS, vol 28 n° 10 (May 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)PermalinkSeparating the weeds from the trees / M. Norris-Rogers in GIM international, vol 21 n° 1 (January 2007)PermalinkThe contribution of remote sensing to the assessment of drought effects in forest ecosystems / Michel Deshayes in Annals of Forest Science, Vol 63 n° 6 (september 2006)Permalink