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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 Assessment 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)
[article]
Titre : Assessment of regional forest and scrub productivity using a coupled vegetation process model with remote sensing Type de document : Article/Communication Auteurs : Nicholas C. Coops, Auteur ; J.D. White, Auteur ; N.A. Scott, Auteur Année de publication : 2002 Article en page(s) : pp 7 - 12 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] croissance des arbres
[Termes IGN] croissance végétale
[Termes IGN] flore locale
[Termes IGN] forêt
[Termes IGN] image SPOT-Végétation
[Termes IGN] modélisation de la forêt
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] Nouvelle-Zélande
[Termes IGN] photosynthèse
[Termes IGN] teneur en carbone
[Termes IGN] troncRésumé : (Auteur) The coupling of remote sensing predicted variables within vegetation process models is well suited to predicting carbon balances in vegetation communities at regional or national scales as spatial and temporal variations detectable from satellite sensors are likely to be related to broadscale environmental and disturbance patterns. Over the north and south islands of New Zealand we couple a simple vegetation process based model 3PG (Predicting Physiological Principals of Growth) with constraints provided by estimates of the fraction of photosynthetically absorbed radiation (JPAR) derived from the SPOT 4 satellite. Model predictions of national forest and scrub above ground Net Primary productivity (NPPA) were compared to estimated values derived from previously published values at both individual plot locations and regions, stratified by vegetation type.
Comparison of the field estimated fraction of fPAR values across the range of vegetation types in the North and South Islands and SPOT 4 VEGETATION NDVI indices indicated the imagery explained 83% of the variation in fPAR. The 3PG predictions coupled with remote sensing observations of above ground stand NPPA for 6 individual sites across both islands correlated well (adjusted r2=0.80, pNuméro de notice : A2003-047 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040208542249 En ligne : https://doi.org/10.1080/10106040208542249 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22344
in Geocarto international > vol 17 n° 4 (December 2002 - February 2003) . - pp 7 - 12[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-02041 RAB Revue Centre de documentation En réserve L003 Disponible Detecting and measuring individual trees using an airborne laser scanner / A. Persson in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 9 (September 2002)
[article]
Titre : Detecting and measuring individual trees using an airborne laser scanner Type de document : Article/Communication Auteurs : A. Persson, Auteur ; Johan Holmgren, Auteur Année de publication : 2002 Article en page(s) : pp 925 - 932 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] arbre (flore)
[Termes IGN] contour
[Termes IGN] données lidar
[Termes IGN] erreur moyenne quadratique
[Termes IGN] forêt
[Termes IGN] houppier
[Termes IGN] télémétrie laser aéroporté
[Termes IGN] troncRésumé : (Auteur) High-resolution airborne laser scanner data offer the possibility to detect and measure individual trees. In this study, an algorithm which estimated position, height, and crown diameter of individual trees was validated with field measurements. Because all the trees in this study were measured on the ground with high accuracy, their positions could be linked with laser measurements, making validation on an individual tree basis possible. In total, 71 percent of the trees were correctly detected using laser scanner data. Because a large portion of the undetected trees had a small stem diameter, 91 percent of the total stem volume was detected. Height and crown diameter of detected trees could be estimated with a root-mean-square error (RMSE) of 0,63 m and 0,61 m, respectively. Stem diameter was estimated, using laser measured tree height and crown diameter, with an RMSE of 3,8 cm. Different laser beam diameters (0,26 to 3,68 m) were also tested, the smallest beam size showing a better detection rate in dense forest. However, estimates of tree height and crown diameter were not affected much by different beam size. Copyright ASPRS Numéro de notice : A2002-323 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : sans En ligne : https://www.asprs.org/wp-content/uploads/pers/2002journal/september/2002_sep_925 [...] Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22234
in Photogrammetric Engineering & Remote Sensing, PERS > vol 68 n° 9 (September 2002) . - pp 925 - 932[article]On 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)
[article]
Titre : On the retrieving of forest stem volume from VHF SAR data: observation and modeling Type de document : Article/Communication Auteurs : P. Melon, Auteur ; J.M. Martinez, Auteur ; Thuy Le Toan, Auteur ; Lars M.H. Ulander, Auteur ; Alain Baudoin , Auteur Année de publication : 2001 Article en page(s) : pp 2364 - 2372 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] coefficient de rétrodiffusion
[Termes IGN] données de terrain
[Termes IGN] forêt
[Termes IGN] image aérienne
[Termes IGN] image radar
[Termes IGN] masse végétale
[Termes IGN] modèle numérique de surface
[Termes IGN] Pinus (genre)
[Termes IGN] réalité de terrain
[Termes IGN] rétrodiffusion
[Termes IGN] télédétection en hyperfréquence
[Termes IGN] troncRésumé : (Auteur) The objective of this paper is to investigate the relationships between VHF data and forest biomass using data acquired by the Airborne Imaging Radar CARABAS over two different pine plantation forests in southern France. Data are analyzed using detailed ground truth measurements available on both sites. The backscattering coefficient is strongly correlated to characteristics of the tree trunk. Signal saturation is not observed up to 900 m' /ha. However, the sensitivity to the volume is high in the range of 0500 m' /ha (e.g., 1 to 1.5 dB for 50 m3/ha), whereas it is reduced beyond 500 m3/ha ( Numéro de notice : A2001-131 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/36.964972 En ligne : https://doi.org/10.1109/36.964972 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21827
in IEEE Transactions on geoscience and remote sensing > vol 39 n° 11 (November 2001) . - pp 2364 - 2372[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-01111 RAB Revue Centre de documentation En réserve L003 Disponible Remote 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)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)PermalinkPermalink