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The spatial distribution of indigenous forest and its composition in the Wellington region, New Zealand, from ETM+ satellite imagery / J.R. Dymond in Remote sensing of environment, vol 90 n° 1 (15/03/2004)
[article]
Titre : The spatial distribution of indigenous forest and its composition in the Wellington region, New Zealand, from ETM+ satellite imagery Type de document : Article/Communication Auteurs : J.R. Dymond, Auteur ; J.D. Shepherd, Auteur Année de publication : 2004 Article en page(s) : pp 116 - 125 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] biodiversité
[Termes IGN] carte de la végétation
[Termes IGN] distribution du coefficient de réflexion bidirectionnelle BRDF
[Termes IGN] éclairement énergétique
[Termes IGN] Fagus (genre)
[Termes IGN] feuillu
[Termes IGN] forêt
[Termes IGN] image Landsat-ETM+
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] Nouvelle-Zélande
[Termes IGN] Pinophyta
[Termes IGN] réflectance végétaleRésumé : (Auteur) In order to improve biodiversity management in the Wellington region of New Zealand, it is necessary to make an inventory of the indigenous forest-where is it, and what type is it? The single greatest impediment to making a spatially (i.e., 1:50,000 scale) and thematically detailed inventory from satellite imagery has been the topography of the three mountainous ranges in the Wellington region. The effective irradiance of incoming light varies with slope orientation, as does the proportion of light that is reflected towards the satellite (the bidirectional reflectance). In this paper, we show how satellite imagery may be processed to standardised spectral reflectance, which is a property of the vegetation alone, independent of sun position, slope, and view direction. Because of this, the use of automatic methods to map vegetation and provide spatially and thematically detailed maps is greatly simplified. Using this method, we produce a land-cover map of the Wellington region, with eight classes, to a classification accuracy of approximately 95%. We also show how the proportions of conifer, broadleaved, and beech trees may be determined for indigenous forest to provide a framework for forest-type inventory. Numéro de notice : A2004-131 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2003.11.013 En ligne : https://doi.org/10.1016/j.rse.2003.11.013 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26658
in Remote sensing of environment > vol 90 n° 1 (15/03/2004) . - pp 116 - 125[article]Automated classification of aerial photographs: detection of forest borders and single trees / André Dufour in Geoinformatics, vol 7 n° 2 (01/03/2004)
[article]
Titre : Automated classification of aerial photographs: detection of forest borders and single trees Type de document : Article/Communication Auteurs : André Dufour, Auteur ; Y. Lopez, Auteur ; J. Lamas, Auteur ; V. Barbezat, Auteur ; J. Jacot, Auteur Année de publication : 2004 Article en page(s) : pp 8 - 11 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] arbre (flore)
[Termes IGN] détection de changement
[Termes IGN] détection de contours
[Termes IGN] forêt
[Termes IGN] Jura, massif du
[Termes IGN] photographie aérienne
[Termes IGN] photographie numérique
[Termes IGN] SuisseRésumé : (Auteur) Aerial photographs are often used in forestry for stand mapping and spatio-temporal landscape dynamics analysis with management perspective. They are preferred to satellite imagery because they are available in time series and are high-resotufion data, more easily accessible to forest managers. Up to now aerial photographs have been analysed by photo-interpreters. This is a time-consuming, laborious, expensive task and repticability of the method depends on the operator. The Swiss Federal Research Institute WSL and the Laboratoire de Production Microtechnique-EPFL are working on aerial photograph analysis automation with the aim to develop a software detecting forest outlines and recognising single-tree location and size on digitised aerial photographs. Numerous applications appear possible : calculating forest cover percentage, monitoring spatio-temporal changes of forest areas or the evolution of single tree radius classes. We explain how the software DENDROS works, and present an application in the Jura Mountains in Switzerland. Numéro de notice : A2004-118 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26645
in Geoinformatics > vol 7 n° 2 (01/03/2004) . - pp 8 - 11[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 262-04021 SL Revue Centre de documentation Revues en salle Disponible Toward universal broad leaf chlorophyll indices using PROSPECT simulated database and hyperspectral reflectance measurements / G. Le Maire in Remote sensing of environment, vol 89 n° 1 (15/01/2004)
[article]
Titre : Toward universal broad leaf chlorophyll indices using PROSPECT simulated database and hyperspectral reflectance measurements Type de document : Article/Communication Auteurs : G. Le Maire, Auteur ; C. François, Auteur ; Eric Dufrêne, Auteur Année de publication : 2004 Article en page(s) : pp 1 - 28 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] albedo
[Termes IGN] chlorophylle
[Termes IGN] erreur moyenne quadratique
[Termes IGN] feuillu
[Termes IGN] indice de végétation
[Termes IGN] réflectance végétale
[Termes IGN] réseau neuronal artificielRésumé : (Auteur) Fifty-three leaves were randomly sampled on different deciduous tree species, representing a wide range of chlorophyll contents, tree ages, and leaf structural features. Their reflectance was measured between 400 and 800 nm with a 1-nm step, and their chlorophyll content determined by extraction. A larger simulated database (11,583 spectra) was built using the PROSPECT model, in order to test, calibrate, and obtain universal indices, i.e., indices applicable to a wide range of species and leaf structure. To our knowledge, almost all leaf chlorophyll indices published in the literature since 1973 have been tested on both databases. Fourteen canonical types of indices (published ones and new ones) were identified, and their wavelengths calibrated on the simulated database as well as on the experimental database to determine the best wavelengths and, hence, the best performances in chlorophyll estimation for each index types. These indices go from simple reflectance ratios to more sophisticated indices using reflectance first derivatives (using the Savitzky and Golay method). We also tested other nondestructive methods to obtain total chlorophyll concentration: SPAD (Minolta Camera, Osaka, Japan) and neural networks. The validity of the actual PROSPECT model is challenged by our results: Important discordances are found when the indices are calculated with PROSPECT compared to experimental data, especially for some indices and wavelengths. The discordance is even greater when the indices are determined with PROSPECT and applied on the experimental database. A new calibration of PROSPECT is therefore necessary for any study aiming at using simulated spectra to determine or to calibrate indices. The "peak jump" and the multiplepeak feature observed on the first derivative of the reflectances (e.g., in the Red-Edge Inflection Point [REIP] index) has been investigated. It was shown that chlorophyll absorption alone can explain this feature. The peak jump disqualifies the REIP to be a valuable chlorophyll index. A simple modified difference ratio gave the best results among all published indices (cross-validated RMSE 2.1 [ug/cm2 on the experimental database). After calibration on the experimental database, modified Simple Ratio (mSR) and modified Nonnalized Difference (mND) indices gave the best performances (RMSECV = 1. 8 ug/cm2 on the experimental database). The new Double Difference (DD) index, although not the best on the experimental database (RMSECV = 2.9 [ug/cm2), has the best results on the larger simulated database (RMSE = 3.7 gg/cm2 ) and is expected to give good results on larger experimental databases. The best reflectance-based indices give better performances than the current commercial nondestructive device SPAD (RMSECV = 4.5 ug/cm2). In this leaf-level study, the best indices are very near from each other, so that complex methods are useless: REIP-like, neural networks, and derivative-based indices are not necessary and give worst results than simpler properly chosen indices. These conclusions will certainly be different for a canopy-level study, where the derivative-based indices may perform significantly better than the other ones. Numéro de notice : A2004-008 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2003.09.004 En ligne : https://doi.org/10.1016/j.rse.2003.09.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26536
in Remote sensing of environment > vol 89 n° 1 (15/01/2004) . - pp 1 - 28[article]AVHRR-based spectral vegetation Index for quantitative assessment of vegetation state and productivity: calibration and validation / F. Kogan in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 8 (August 2003)
[article]
Titre : AVHRR-based spectral vegetation Index for quantitative assessment of vegetation state and productivity: calibration and validation Type de document : Article/Communication Auteurs : F. Kogan, Auteur ; A. Gitelson, Auteur ; E. Zakarin, Auteur ; L. Spivak, Auteur ; L. Lebed, Auteur Année de publication : 2003 Article en page(s) : pp 899 - 906 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Advanced Very High Resolution Radiometer
[Termes IGN] étalonnage en vol
[Termes IGN] gestion des ressources
[Termes IGN] indice de végétation
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] troncRésumé : (Auteur) The goal of the work was to estimate, quantitatively, vegetation state and productivity using AVHRR based Vegetation Condition Index (VCI). The VCI algorithm includes application of postlaunch calibration to visible channels, calculation of NDVI from channels' reflectance, removal of high frequency noise from NDVI's annual time series, stratification of ecosystem resources, and separation of ecosystem and weather components in the NDVI value. The weather component was calculated by normalizing the NDVI to the difference of the extreme NDVI fluctuations (maximum and minimum), derived from multiyear data for each week and land pixel. The VCI was compared with wheat density measured in Kazakhstan. Six test fields were located in different climatic (annual precipitation 150 to 700 mm) and ecological (semi desert to steppe forest) zones with elevations from 200 to 700 m and a wide range of NDVI variation over space and season from 0.05 to 0.47. Plant density (PD) was measured in wheat fields by calculating the number of stems per unit area. PD deviation from year to year (PDD) was expressed as a deviation from median density calculated from multiyear data. The correlation between PDD and VCI all stations was positive and quite strong (r2 > 0.75) with the Standard Errors of Estimates (SEE) of PDD less than 16 percent ; for individual stations, the SEE was less than 11 percent. The results indicate that VCI is an appropriate index for monitoring weather impact on vegetation and for assessment of pasture and crop productivity in Kazakhstan. Because satellite observations provide better spatial and temporal coverage, the VCI based system will provide efficient tools for management of water resources and the improvement of agricultural planning. This system will serve as a prototype in the other parts of the world where ground observations are limited or not available. Numéro de notice : A2003-170 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.69.8.899 En ligne : https://doi.org/10.14358/PERS.69.8.899 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22466
in Photogrammetric Engineering & Remote Sensing, PERS > vol 69 n° 8 (August 2003) . - pp 899 - 906[article]Multitemporal repeat-pass SAR interferometry of boreal forests / J. Askne in IEEE Transactions on geoscience and remote sensing, vol 41 n° 7 (July 2003)
[article]
Titre : Multitemporal repeat-pass SAR interferometry of boreal forests Type de document : Article/Communication Auteurs : J. Askne, Auteur ; M. Santoro, Auteur ; G. Smith, Auteur ; J.E.S. Fransson, Auteur Année de publication : 2003 Article en page(s) : pp 1540 - 1550 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] bande L
[Termes IGN] données multitemporelles
[Termes IGN] erreur moyenne quadratique
[Termes IGN] ERS
[Termes IGN] estimation statistique
[Termes IGN] forêt boréale
[Termes IGN] image radar moirée
[Termes IGN] interféromètrie par radar à antenne synthétique
[Termes IGN] JERS
[Termes IGN] masse végétale
[Termes IGN] modélisation
[Termes IGN] rétrodiffusion
[Termes IGN] troncRésumé : (Auteur) Multitemporal European Remote Sensing satellites 1 and 2 (ERS1/2) and the Japanese Earth Resources Satellite 1 (JERS1) interferometric synthetic aperture radar (InSAR) data from a boreal forest test site in Sweden (stem volumes up to 335 m/ha, equivalent to aboveground dry biomass of ~200 tons/ha) are studied in order to estimate stem volume using coherence and backscatter. The changes of JERS1 backscatter and ERS1/2 tandem coherence between images are consistent over the area studied, in contrast to ERS1/2 backscatter. A modelbased regression analysis has been performed, and the use of the model for inversion is discussed and compared with other approaches found in the literature. The model parameters are discussed in terms of their relation to wind speed and temperature. Results from the different acquisitions are combined to improve the stem volume estimation. The accuracy in terms of rms error (RMSE) for standwise estimated stem volume is 310 m/ha using ERS1/2 coherence. Using backscatter and coherence from JERS1 we obtain an RMSE of 33035 m/ha. Finally, conditions for accurate retrieval of stem volume using multitemporal InSAR observations are discussed. We conclude that G and Lband repeatpass InSAR can provide stem volume estimates in boreal forests with accuracies similar to those of standard in situ measurements. Numéro de notice : A2003-209 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2005.846878 En ligne : https://doi.org/10.1109/TGRS.2005.846878 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22505
in IEEE Transactions on geoscience and remote sensing > vol 41 n° 7 (July 2003) . - pp 1540 - 1550[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-03071 RAB Revue Centre de documentation En réserve L003 Disponible The potential of virtual reality technology for analysis of remotely sensed data: a Lidar case study / T. Warner in Geocarto international, vol 18 n° 1 (March - May 2003)PermalinkPermalinkValorisation des données statistiques et cartographiques de l'IFN [inventaire forestier national] auprès du CRPF [centre régional de la propriété forestière] Midi-Pyrénées / T. Bouix (2003)PermalinkAssessment of regional forest and scrub productivity using a coupled vegetation process model with remote sensing / Nicholas C. Coops in Geocarto international, vol 17 n° 4 (December 2002 - February 2003)PermalinkDetecting and measuring individual trees using an airborne laser scanner / A. Persson in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 9 (September 2002)PermalinkOn the retrieving of forest stem volume from VHF SAR data: observation and modeling / P. Melon in IEEE Transactions on geoscience and remote sensing, vol 39 n° 11 (November 2001)PermalinkEvaluation du risque de gel imputable au talus de la ligne du TGV Méditerranée dans la vallée de la Durance : cartographie à l'aide d'un SIG et à partir d'une photographie aérienne et de mesures sur le terrain / S. Bridier in Photo interprétation, vol 38 n° 3-4 (Septembre 2000)PermalinkLes intérêts multiples des haies et bandes boisées en Picardie / J.-C. Fetro in Forêts de France, n° 417 (octobre 1998)PermalinkDétection des rangées d'arbres près des routes / Fabrice Lecourt (1994)PermalinkRemote sensing of foliar chemistry / P.J. Curran in Remote sensing of environment, vol 30 n° 3 (01/12/1989)PermalinkRelationship between Landsat MSS data and forest tree parameters / M.P. Oza in International Journal of Remote Sensing IJRS, vol 10 n° 11 (November 1989)PermalinkThe university of Wisconsin practicum in surveying : surveying in the U.W. arboretum, a model land information system for ecological restoration / S.M. Schramm in Surveying and Mapping, vol 49 n° 3 (Fall 1989)PermalinkRemote sensor and other data sources for timber use-value assessment / R.D. Baker in Photogrammetric Engineering & Remote Sensing, PERS, vol 55 n° 6 (june 1989)PermalinkFine resolution signatures of coniferous and deciduous trees at C-band / R. Zoughi in International Journal of Remote Sensing IJRS, vol 10 n° 1 (January 1989)PermalinkMeasuring crown cover in interior Alaska vegetation types / K.C. Winterberger in Photogrammetric Engineering & Remote Sensing, PERS, vol 54 n° 3 (march 1988)PermalinkProceedings of the joint and special sessions on the review of advances in remote sensing technology for forestry, Kyoto (Japan), July 6 - 7, 1988 / I. Ohnuki (1988)PermalinkStem count accuracy and species determination in loblolly pine plantations using 35-mm aerial photography / T.D. Needham in Photogrammetric Engineering & Remote Sensing, PERS, vol 53 n° 12 (december 1987)PermalinkReflectance modeling of semiarid woodlands / R.P. Pech in Remote sensing of environment, vol 23 n° 2 (01/11/1987)PermalinkContinental land cover assessment using Landsat MSS data / R. Nelson in Remote sensing of environment, vol 21 n° 1 (01/02/1987)PermalinkVénissieux, cadastre vert, 1. [Rapport] / IGN (1987)PermalinkVénissieux, cadastre vert, 2. [Fiches d'observations] / IGN (1987)PermalinkFruit tree inventory with Landsat Thematic Mapper data / D.K. Gordon in Photogrammetric Engineering & Remote Sensing, PERS, vol 52 n° 12 (december 1986)PermalinkStructure et dynamique de la végétation en milieu tropical semi-aride / V.C. DE Carvalho (1986)PermalinkPermalinkTélédétection et floristique, aide à la typologie forestière en forêt de Bouconne (haute Garonne) / P. Gualy Gouaux (1981)PermalinkFlore des arbres, arbustes et arbrisseaux, 1. Plaines et collines / René Rol (1975)PermalinkFlore des arbres, arbustes et arbrisseaux, 4. Essences introduites / René Rol (1965)PermalinkFlore des arbres, arbustes et arbrisseaux, 2. Montagnes / René Rol (1964)PermalinkGéographie et histoire agraires / Université de Nancy (1959)PermalinkLa forêt de Berce / P. George (1936)PermalinkAssociation française arbres champêtres et Agroforesteries (Afac-Agroforesteries) / Association Française Arbres et Haies Champêtres (sine dato)Permalink