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Auteur A.L. Neunschwander |
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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]Result from EO-1 experiment: a comparative study of earth observing-1 Advanced Land Imager (ALI) and Landsat ETM+ data for land cover mapping in the Okavango delta, Botswana / A.L. Neunschwander in International Journal of Remote Sensing IJRS, vol 26 n° 19 (October 2005)
[article]
Titre : Result from EO-1 experiment: a comparative study of earth observing-1 Advanced Land Imager (ALI) and Landsat ETM+ data for land cover mapping in the Okavango delta, Botswana Type de document : Article/Communication Auteurs : A.L. Neunschwander, Auteur ; Melba M. Crawford, Auteur ; S. Ringrose, Auteur Année de publication : 2005 Article en page(s) : pp 4321 - 4337 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] Botswana
[Termes IGN] carte d'occupation du sol
[Termes IGN] delta
[Termes IGN] géomorphologie locale
[Termes IGN] image EO1-ALI
[Termes IGN] image Landsat-ETM+
[Termes IGN] inondation
[Termes IGN] rapport signal sur bruitRésumé : (Auteur) The Earth Observing-1 (EO-1) satellite acquired a sequence of data in 2001 and 2002 that highlighted the annual flooding of the lower Okavango Delta. The data were collected as part of the calibration/validation programme for the Advanced Land Imager (ALI) sensor on the NASA EO-1 satellite. The primary purpose of this study was to compare the capability of ALI to that of Landsat ETM + for large-scale mapping applications in the Okavango Delta. While the extent and inaccessibility of many areas of the Delta make application of remote sensing attractive, the availability of data with adequate spatial and spectral resolution has limited the characterization of the complex patterns of land cover and geomorphology in the Delta. Initial analysis of the ALI data via supervised classification clearly showed macro-flood features, delineation of downstream channel flow areas, and lateral-downstream inundation of the floodplain. These patterns and the proportions of flooding of the channel compared to that of the floodplain (impoundment) varied annually, from the wetter seasonal swamps through the drier seasonal and occasional swamps. Consistently higher classification accuracies achieved using ALI data relative to ETM + data are attributed to the higher signal-to-noise ratio and the increased dynamic range of the ALI data. Numéro de notice : A2005-444 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500112759 En ligne : https://doi.org/10.1080/01431160500112759 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27580
in International Journal of Remote Sensing IJRS > vol 26 n° 19 (October 2005) . - pp 4321 - 4337[article]Exemplaires(1)
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