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Mapping tropical forest structure in south-eastern Madagascar using remote sensing and artificial neural networks / J.C. Ingram in Remote sensing of environment, vol 94 n° 4 (28/02/2005)
[article]
Titre : Mapping tropical forest structure in south-eastern Madagascar using remote sensing and artificial neural networks Type de document : Article/Communication Auteurs : J.C. Ingram, Auteur ; T.P. Dawson, Auteur ; R.J. Whittaker, Auteur Année de publication : 2005 Article en page(s) : pp 491 - 507 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse des correspondances
[Termes IGN] analyse multibande
[Termes IGN] biodiversité
[Termes IGN] carte de la végétation
[Termes IGN] classification par réseau neuronal
[Termes IGN] densité
[Termes IGN] forêt tropicale
[Termes IGN] image Landsat-ETM+
[Termes IGN] Madagascar
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] radiance
[Termes IGN] troncRésumé : (Auteur) Tropical forest condition has important implications for biodiversity, climate change and human needs. Structural features of forests can serve as useful indicators of forest condition and have the potential to be assessed with remotely sensed imagery, which can provide quantitative information on forest ecosystems at high temporal and spatial resolutions. Herein, we investigate the utility of remote sensing for assessing, predicting and mapping two important forest structural features, stem density and basal area, in tropical, littoral forests in southeastern Madagascar. We analysed the relationships of basal area and stem density measurements to the Normalised Difference Vegetation Index (NDVI) and radiance measurements in bands 3, 4, 5 and 7 from the Landsat Enhanced Thematic Mapper Plus (ETM+). Strong relationships were identified among all of the individual bands and field based measurements of basal area (p Numéro de notice : A2005-069 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.12.001 En ligne : https://doi.org/10.1016/j.rse.2004.12.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27207
in Remote sensing of environment > vol 94 n° 4 (28/02/2005) . - pp 491 - 507[article]Assesment of manual and automated methods for updating stand-level forest inventories based on aerial photography / Perttu Antilla (2005)
Titre : Assesment of manual and automated methods for updating stand-level forest inventories based on aerial photography Type de document : Thèse/HDR Auteurs : Perttu Antilla, Auteur ; Risto Päivinen, Directeur de thèse ; Matti Maltamo, Directeur de thèse Editeur : Vantaa [Finlande] : Finnish Society of Forest Science Année de publication : 2005 Collection : Dissertationes forestales, ISSN 1795-7389 num. 9 Importance : 42 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-951-651-108-8 Note générale : bibliographie
Academic Dissertation, Faculty of Forestry, University of Joensuu, FinlandLangues : Anglais (eng) Descripteur : [Termes IGN] actualité des données
[Termes IGN] appariement d'images
[Termes IGN] détection d'arbres
[Termes IGN] détection de changement
[Termes IGN] Finlande
[Termes IGN] forêt boréale
[Termes IGN] identification automatique
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] peuplement forestier
[Termes IGN] photo-identification
[Termes IGN] photogrammétrie aérienne
[Vedettes matières IGN] Inventaire forestierRésumé : (auteur) Data collection for forest planning in private forestry in Finland is based on periodic, labour-intensive, stand level field inventories. Therefore, to increase guidance for forest owners more cost-efficient methods that replace or supplement field inventories are needed so as to reallocate labour resources. In addition, for active forest owners, up-to-date information is of interest. The aim of this thesis was to test the applicability of different inventory and updating methods that are based on aerial photography for the regional forest inventory of private forests in Finland. Four approaches were chosen: I) stand level visual interpretation of changes and simulation of stand development, 2) automatic, stand level interpretation of aerial photographs utilising nonparametric estimation, 3) automatic, photogrammetric estimation of mean height, and 4) automatic, monoscopic identification of individual trees. Approaches I and 2 are inventory or updating methods, while approaches 3 and 4 can be considered as components of such methods. Approach 1 was found to be appropriate for operative use for estates that have not ordered a forest plan, provided that the strict prerequisites for the inventory area are met. The- accuracy of approach 2, as such, was not considered to be high enough for forest planning, but this very inexpensive method could turn out to be applicable, if its accuracy could be improved. Approach 3 was based on image matching and would be most useful as a part of other methods, like template matching in multiple images. Although only identification of trees was tested in approach 4, the applicability of whole single tree based inventory method was appraised. Relatively high costs and low accuracy limit the possibilities to use this method, in practice. Note de contenu : Introduction
1 - Material
2 - Methods
3 - Results
4 - DiscussionNuméro de notice : 21692 Affiliation des auteurs : non IGN Thématique : FORET Nature : Thèse étrangère Note de thèse : Academic Dissertation : Forestry : University of Joensuu : 2005 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90928 Assessing the feasibility of a global model for multi-temporal burned area mapping using Spot-Vegetation data / J.M. Silva in International Journal of Remote Sensing IJRS, vol 25 n° 22 (November 2004)
[article]
Titre : Assessing the feasibility of a global model for multi-temporal burned area mapping using Spot-Vegetation data Type de document : Article/Communication Auteurs : J.M. Silva, Auteur ; J.F. Cadima, Auteur ; J.M. Pereira, Auteur ; J.M. Gregoire, Auteur Année de publication : 2004 Article en page(s) : pp 4889 - 4913 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] bande infrarouge
[Termes IGN] cartographie thématique
[Termes IGN] étude de faisabilité
[Termes IGN] forêt tropicale
[Termes IGN] image SPOT-Végétation
[Termes IGN] incendie
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] zone boréale
[Termes IGN] zone intertropicale
[Termes IGN] zone tempéréeRésumé : (Auteur) The possibility of using the Système Probatoire de l'Observation de la Terre (SPOT)-VEGETATION (VGT) data for global burned area mapping with a single algorithm was investigated. Using VGT images from south-eastern Africa, the Iberian Peninsula and south-eastern Siberia/north-eastern China, we analysed the variability of the spectral signature of burned areas and its relationship with land cover, and performed the selection of the best variables for burned area mapping. The results show that in grasslands and croplands, near-infrared (NIR) and short-wave infrared (SWIR) reflectance always decreases as a result of fire. In forests and woodlands, there may occur a simultaneous decrease of SWIR and NIR or an increase of SWIR and a decrease of NIR. Burning of green vegetation (high values of the Normalized Difference Vegetation Index (NDVI)) tends to result in an increase of the SWIR. The best variables for burned area mapping are different in each region. Only the NIR allows a good discrimination of burned areas in all study areas. We derived a logistic regression model for multi-temporal burned area mapping in tropical, temperate and boreal regions, which handles the spectral variability of burned areas dependent on the type of vegetation. The results underline the feasibility of a single model for global burned area mapping. Numéro de notice : A2004-486 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160412331291251 En ligne : https://doi.org/10.1080/01431160412331291251 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27004
in International Journal of Remote Sensing IJRS > vol 25 n° 22 (November 2004) . - pp 4889 - 4913[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-04201 RAB Revue Centre de documentation En réserve L003 Exclu du prêt LIDAR-based geometric reconstruction of boreal type forest stands at single tree level for forest and wildland fire management / F. Morsdorf in Remote sensing of environment, vol 92 n° 3 (30 August 2004)
[article]
Titre : LIDAR-based geometric reconstruction of boreal type forest stands at single tree level for forest and wildland fire management Type de document : Article/Communication Auteurs : F. Morsdorf, Auteur ; E. Meier, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 353 - 362 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] forêt boréale
[Termes IGN] hauteur des arbres
[Termes IGN] houppier
[Termes IGN] incendie de forêt
[Termes IGN] lasergrammétrie
[Termes IGN] lutte contre l'incendie
[Termes IGN] reconstruction 3D
[Termes IGN] risque naturel
[Termes IGN] segmentation d'image
[Termes IGN] télémétrie laser aéroportéRésumé : (Auteur) Vegetation structure is an important parameter in fire risk assessment and fire behavior modeling. We present a new approach deriving the structure of the upper canopy by segmenting single trees from small footprint LIDAR data and deducing their geometric properties. The accuracy LIDAR data is evaluated using six geometric reference targets, with the standard deviation of the LIDAR returns on the target being as low as 0.06 m. The segmentation is carried out by using cluster analysis on the LIDAR raw data in all three coordinate dimensions. From the segmented clusters, tree position, tree height, and crown diameter are derived and compared with field measurements. A robust linear regression of 917 tree height measurements yields a slope of 0.96 with an offset of 1 m and the adjusted R 2 resulting at 0.92. However, crown diameter is not well matched by the field measurements, with R2 being as low as 0.2, which is most certainly due to random errors in the field measurements. Finally, a geometric reconstruction of the forest scene using a paraboloid model is carried out using values of tree positsion, tree height, crown diameter, and crown base height.
Copyright ElsevierNuméro de notice : A2004-384 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.05.013 En ligne : https://doi.org/10.1016/j.rse.2004.05.013 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26911
in Remote sensing of environment > vol 92 n° 3 (30 August 2004) . - pp 353 - 362[article]Estimation of interannual variation in productivity of global vegetation using NDVI data / Z.M. Chen in International Journal of Remote Sensing IJRS, vol 25 n° 16 (August 2004)
[article]
Titre : Estimation of interannual variation in productivity of global vegetation using NDVI data Type de document : Article/Communication Auteurs : Z.M. Chen, Auteur ; I.S. Babiker, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 3139 - 3159 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse diachronique
[Termes IGN] bilan du carbone
[Termes IGN] biosphère
[Termes IGN] changement climatique
[Termes IGN] dioxyde de carbone
[Termes IGN] forêt tempérée
[Termes IGN] forêt tropicale
[Termes IGN] image NOAA-AVHRR
[Termes IGN] impact sur l'environnement
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] production primaire nette
[Termes IGN] répartition géographique
[Termes IGN] variation saisonnièreRésumé : (Auteur) The interannual variation of global vegetation net primary production (NPP), which is crucial to understanding the role of terrestrial biosphere in the global carbon cycle, is still poorly understood. Currently, remote sensing emerges as a useful tool for estimating NPP through monitoring global vegetation distribution and growth. The objective of this study was to utilize the multi-year monthly Normalized Difference Vegetation Index (NDVI) dataset of 1987-1997 from the Advanced Very High Resolution Radiometer (AVHRR) to investigate the interannual variation in productivity of global vegetation due to climate variation, human activities, and environmental events. A decision tree algorithm based on simple metrics (minimum, maximum, mean and amplitude) was employed to classify the global vegetation from NDVI data and obtain the annual vegetation growth areas. Then, annual NPP was computed using the annual vegetation growth areas and the predefined NPP coefficients given in a 1990 Intergovernmental Panel on Climate Change (IPCQ) report. The NPP exhibited a slightly increasing trend through the 11 years. However, interannual variations were observed to be mainly determined by variation in growth of tropical and temperate evergreen forests. These fluctuations were consistently correlated to El Niño/La Niña events. Although the interannual variation in primary productivity of global vegetation is expected to influence the atmospheric C02 concentration over the one-decade period, it is unlikely to have solely caused the anomalously low growth in 1992-1993. The adopted methodology enabled close examination of variability in vegetation growth at the biome scale as well as at global scale. Numéro de notice : A2004-301 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116032000160435 En ligne : https://doi.org/10.1080/0143116032000160435 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26828
in International Journal of Remote Sensing IJRS > vol 25 n° 16 (August 2004) . - pp 3139 - 3159[article]Réservation
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