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Extending satellite remote sensing to local scales: land and water resources monitoring using high-resolution imagery / K.E. Sawaya in Remote sensing of environment, vol 88 n° 1 (30/11/2003)  

Public [article]  inRemote sensing of environment > vol 88 n° 1 (30/11/2003) . - pp 144 - 156 Titre : Extending satellite remote sensing to local scales: land and water resources monitoring using high-resolution imagery Type de document : Article/Communication Auteurs : K.E. Sawaya, Auteur ; L.G. Olmanson, Auteur ; et al., Auteur Année de publication : 2003 Article en page(s) : pp 144 - 156 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] aide à la décision [Termes IGN] écologie [Termes IGN] environnement [Termes IGN] image à résolution métrique [Termes IGN] image à très haute résolution [Termes IGN] image Ikonos [Termes IGN] image Quickbird [Termes IGN] macrophyte [Termes IGN] qualité des eaux [Termes IGN] ressources naturelles [Termes IGN] surveillance écologique [Termes IGN] télédétection aérospatiale [Termes IGN] urbanisation Résumé : (Auteur) The potential of high resolution IKONOS and QuickBird satellite imagery for mapping and analysis of land and water resources at local scales in Minnesota is assessed in a series of three applications. The applications and accuracies evaluated include: (1) classification of lake water clarity (r 2 = 0.89), (2) mapping of urban impervious surface area (r2 = 0.98), and (3) aquatic vegetation surveys of emergent and submergent plant groups (80% accuracy). There were several notable findings from these applications. For example, modeling and estimation approaches developed for Landsat TM data for continuous variables such as lake water clarity and impervious surface area can be applied to high resolution satellite data. The rapid delivery of spatial data can be coupled with current GPS and field computer technologies to bring the imagery into the field for cover type validation. We also found several limitations in working with this data type. For example, shadows can influence feature classification and their effects need to be evaluated. Nevertheless, high resolution satellite data has excellent potential to extend satellite remote sensing beyond what has been possible with aerial photography and Landsat data, and should be of interest to resource managers as a way to create timely and reliable assessments of land and water resources at a local scale. Numéro de notice : A2003-333 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2003.04.006 En ligne : https://doi.org/10.1016/j.rse.2003.04.006 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22628 [article]