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Disturbance, management, and landscape dynamics: harmonic regression of Vegetation Indices in the Lower Okavango Delta, Botswana / A.L. Neunschwander in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 6 (June 2008)
[article]
Titre : Disturbance, management, and landscape dynamics: harmonic regression of Vegetation Indices in the Lower Okavango Delta, Botswana Type de document : Article/Communication Auteurs : A.L. Neunschwander, Auteur ; K.A. Crews, Auteur Année de publication : 2008 Article en page(s) : pp 753 - 764 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse diachronique
[Termes IGN] analyse harmonique
[Termes IGN] Botswana
[Termes IGN] delta
[Termes IGN] image Landsat-ETM+
[Termes IGN] image Landsat-TM
[Termes IGN] indice de végétation
[Termes IGN] plan d'occupation du sol
[Termes IGN] régression
[Termes IGN] série temporelle
[Termes IGN] surface cultivée
[Termes IGN] traitement du signalRésumé : (Auteur) Focused on the Okavango Delta, Botswana, this research investigates (a) whether ecosystem signals derived from remotely sensed imagery can be decomposed using a harmonic regression, (b) if the deviations from the decomposed signal are correlated with observed flooding and fire regimes, and (c) the impact of explicitly including agriculture, settlement areas, and land management systems on the derived signals. A time-series of 85 TM/ETM+ scenes spanning the period from 1989 through 2002 was used to decompose derived landscape dynamics into trends, annual and seasonal cycles, and long term oscillations. The harmonic fit largely defined by climatic periodicities (semi-annual, annual, and quasi-decadal) accounted for 63 percent to 88 percent of the variance in the trajectories. The trends were found to be robust whether or not urban settlement or landscape management regimes were explicitly included, though there was a reversal of trend in agricultural areas. Copyright ASPRS Numéro de notice : A2008-200 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.74.6.753 En ligne : https://doi.org/10.14358/PERS.74.6.753 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29195
in Photogrammetric Engineering & Remote Sensing, PERS > vol 74 n° 6 (June 2008) . - pp 753 - 764[article]Artificial immune-based supervised classifier for land-cover classification / M. Pal in International Journal of Remote Sensing IJRS, vol 29 n° 7 (April 2008)
[article]
Titre : Artificial immune-based supervised classifier for land-cover classification Type de document : Article/Communication Auteurs : M. Pal, Auteur Année de publication : 2008 Article en page(s) : pp 2273 - 2291 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] classification dirigée
[Termes IGN] classification par arbre de décision
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] identification automatique
[Termes IGN] image Landsat-ETM+
[Termes IGN] occupation du sol
[Termes IGN] précision de la classification
[Termes IGN] système immunitaire artificielRésumé : (Auteur) This paper explores the potential of an artificial immune-based supervised classification algorithm for land-cover classification. This classifier is inspired by the human immune system and possesses properties similar to nonlinear classification, self/non-self identification, and negative selection. Landsat ETM+ data of an area lying in Eastern England near the town of Littleport are used to study the performance of the artificial immune-based classifier. A univariate decision tree and maximum likelihood classifier were used to compare its performance in terms of classification accuracy and computational cost. Results suggest that the artificial immune-based classifier works well in comparison with the maximum likelihood and the decision-tree classifiers in terms of classification accuracy. The computational cost using artificial immune based classifier is more than the decision tree but less than the maximum likelihood classifier. Another data set from an area in Spain is also used to compare the performance of immune based supervised classifier with maximum likelihood and decision-tree classification algorithms. Results suggest an improved performance with the immune-based classifier in terms of classification accuracy with this data set, too. The design of an artificial immune-based supervised classifier requires several user-defined parameters to be set, so this work is extended to study the effect of varying the values of six parameters on classification accuracy. Finally, a comparison with a backpropagation neural network suggests that the neural network classifier provides higher classification accuracies with both data sets, but the results are not statistically significant. Copyright Taylor & Francis Numéro de notice : A2008-100 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160701408402 En ligne : https://doi.org/10.1080/01431160701408402 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29095
in International Journal of Remote Sensing IJRS > vol 29 n° 7 (April 2008) . - pp 2273 - 2291[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 080-08051 RAB Revue Centre de documentation En réserve L003 Disponible Analyse spatio-temporelle de l'occupation du sol dans le parc national de Waza entre 1986 et 2001 (Nord Cameroun) / G. Wafo Tabopda in Revue Française de Photogrammétrie et de Télédétection, n° 189 (Mars 2008)
[article]
Titre : Analyse spatio-temporelle de l'occupation du sol dans le parc national de Waza entre 1986 et 2001 (Nord Cameroun) Type de document : Article/Communication Auteurs : G. Wafo Tabopda, Auteur ; Kenji Ose, Auteur ; J.M. Fotsing, Auteur Année de publication : 2008 Article en page(s) : pp 40 - 50 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] aire protégée
[Termes IGN] analyse spatio-temporelle
[Termes IGN] Cameroun
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] couvert végétal
[Termes IGN] écosystème
[Termes IGN] image Landsat-ETM+
[Termes IGN] image Landsat-TM
[Termes IGN] occupation du sol
[Termes IGN] parc naturel national
[Termes IGN] savane
[Termes IGN] zone humideRésumé : (Auteur) Le parc national de Waza joue un rôle important dans le maintien des ressources du Nord Cameroun. Cependant, les crises climatiques des années 1970 et la construction du barrage de Maga en 1979 ont provoqué l'assèchement de son réseau hydrographique. Pour réhabiliter son écosystème, le Projet Waza-Logone a été initié au début des années 1990. L'analyse spatio-temporelle de deux images Landsat TM et ETM+ de 1986 et 2001, permet de mettre en évidence les états successifs du couvert végétal ainsi que l'évaluation de sa dynamique dans cette aire protégée du Nord Cameroun. Le couvert végétal connaît une évolution de 52 % entre les deux dates. Cependant, l'analyse des résultats et les requêtes effectuées dans le SIG, autorisent l'identification d'un gradient de déforestation qui révèle les limites des actions concertées et la pression sous-jacente des activités rurales sur les ressources végétales. Copyright SFPT Numéro de notice : A2008-548 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29618
in Revue Française de Photogrammétrie et de Télédétection > n° 189 (Mars 2008) . - pp 40 - 50[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 018-08011 RAB Revue Centre de documentation En réserve L003 Disponible IFN-001-P000586 PER Revue Nogent-sur-Vernisson Salle périodiques Disponible Spatially and temporally continuous LAI data sets based on an integrated filtering method: examples from North America / H. Fang in Remote sensing of environment, vol 112 n° 1 (15/01/2008)
[article]
Titre : Spatially and temporally continuous LAI data sets based on an integrated filtering method: examples from North America Type de document : Article/Communication Auteurs : H. Fang, Auteur ; Shunlin Liang, Auteur ; et al., Auteur Année de publication : 2008 Article en page(s) : pp 75 - 93 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] algorithme de filtrage
[Termes IGN] Amérique du nord
[Termes IGN] analyse comparative
[Termes IGN] analyse diachronique
[Termes IGN] données spatiotemporelles
[Termes IGN] image Landsat-ETM+
[Termes IGN] image Terra-MODIS
[Termes IGN] Leaf Area Index
[Termes IGN] qualité des donnéesRésumé : (Auteur) Leaf Area Index (LAI) is an important biophysical variable for characterizing the land surface vegetation. Global LAI product has been routinely produced from the MODerate resolution Imaging Spectroradiometer (MODIS) aboard the Terra and Aqua satellite platforms. However, the MODIS standard LAI product is not continuous both spatially and temporally. To fill the gaps and improve the quality, we have developed a data filtering algorithm. This filter, called the temporal spatial filter (TSF), integrates both spatial and temporal characteristics for different plant functional types. The spatial gaps are first filled with the multi-year averages of the same day. If the values are missing over all years, the pixel is filled with a new estimate using the vegetation continuous field–ecosystem curve fitting method. The TSF integrates both the multi-seasonal average trend (background) and the seasonal observation. We implement this algorithm using the MODIS Collection 4 LAI product over North America. Comparison of the TSF results with the Savitzky–Golay filter indicates that the TSF performs much better in restoring the spatial and temporal distribution of seasonal LAI trends. The new LAI product has been validated by comparing with field measurements and the derived LAI maps from ETM+ data at a broadleaf forest site and an agricultural site. The validation results indicate that the new LAI product agrees better with both the field measurements and LAI values obtained from the ETM+ than does the MODIS LAI standard product, which usually shows higher LAI values. Copyright Elsevier Numéro de notice : A2008-026 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.07.026 En ligne : https://doi.org/10.1016/j.rse.2006.07.026 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29021
in Remote sensing of environment > vol 112 n° 1 (15/01/2008) . - pp 75 - 93[article]Applications of remote sensing and Geographic Information Systems to assess ferrous minerals and iron oxide of Tokat province in Turkey / H.M. Dogan in International Journal of Remote Sensing IJRS, vol 29 n°1-2 (January 2008)
[article]
Titre : Applications of remote sensing and Geographic Information Systems to assess ferrous minerals and iron oxide of Tokat province in Turkey Type de document : Article/Communication Auteurs : H.M. Dogan, Auteur Année de publication : 2008 Article en page(s) : pp 221 - 233 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] carte géologique
[Termes IGN] corrélation
[Termes IGN] géologie locale
[Termes IGN] image Landsat-ETM+
[Termes IGN] minerai
[Termes IGN] mise à jour de base de données
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] système d'information géographique
[Termes IGN] TurquieRésumé : (Auteur) Tokat province is one of the least studied areas in Turkey. Updated spatial information about ferrous minerals (FM) and iron oxide (IO) is often required for studies focusing on environmental modelling, agriculture, and mining. In this study, FM and IO attributes of the province were assessed and mapped by evaluating Landsat-ETM+ satellite images. To avoid incorrect interpretations, dense plant or closed forest areas were determined using the normalized difference vegetative index, and excluded from the evaluation by masking. FM and IO index maps were produced using related algorithms and remote sensing tools. Classification and spatial analysis operations were conducted under the framework of Geographic Information Systems. A natural breaks method was employed for classification, and both indices were summarized in nine classes. The relationship between two index maps was investigated using a bi-variety correlation analysis. The correlation between two index maps (0.549) was found to be significant at the 1% level. Developed index maps were tested using ancillary data from previous studies in the area. The results were summarized at the administrative district level. Copyright Taylor & Francis Numéro de notice : A2008-011 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160701269010 En ligne : https://doi.org/10.1080/01431160701269010 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29006
in International Journal of Remote Sensing IJRS > vol 29 n°1-2 (January 2008) . - pp 221 - 233[article]Réservation
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Santana in International Journal of Remote Sensing IJRS, vol 28 n°19-20 (October 2007)PermalinkEstimation of vegetation parameter for modelling soil erosion using linear spectral mixture analysis of Landsat ETM data / A.M. DE Asis in ISPRS Journal of photogrammetry and remote sensing, vol 62 n° 4 (September 2007)PermalinkAssessing alternatives for modelling the spatial distribution of multiple land-cover classes at sub-pixel scales / Y. Makido in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 8 (August 2007)PermalinkIntegrated use of SRM, Landsat ETM+ data and 3D perspective views to identify the tectonic geomorphology of Dehradun valley, India / A.K. Singh in International Journal of Remote Sensing IJRS, vol 28 n°11-12 (June 2007)PermalinkApport des données Spot et Landsat au suivi des inondations dans l'estuaire du fleuve Sénégal / A.M. 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