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Accueil du site → Master → Etats Unis → 2003 → Scale change evaluations for arid land image interpretation : a case study at Camp Williams, Utah

University of Nevada, Reno (2003)

Scale change evaluations for arid land image interpretation : a case study at Camp Williams, Utah

Pillai Rekha B

Titre : Scale change evaluations for arid land image interpretation : a case study at Camp Williams, Utah

Auteur : Rekha B Pillai

Université de soutenance : University of Nevada, Reno

Grade : Master of Science 2003

Résumé
Different scales of aerial and satellite imagery were examined for mapping vegetation species/community and monitoring land degradation at three test sites of Camp Williams, Utah. Color-space conversions and filtering in frequency space were employed as pre-processing techniques. Large-scale Kodak and small-scale IKONOS, IRS and Landsat TM images were classified using an unsupervised classification algorithm. Kodak 4mpp and 5mpp merged classifications were compared with IKONOS and IRS cookie-cut image classifications. Resampling methods used during merging were tested against each other. A method to scale up vegetation cover estimates to larger geographic extents, known as ’Upscaling’, was developed involving the transfer of information from high-resolution to low-resolution data. Kodak classifications were degraded and used as training data for the supervised classifications of the small-scale images and tested for accuracy using error matrices. Comparisons of classification accuracies indicate an increase in the overall accuracy and kappa statistic with merging and upscaling of images.

Mots Clés  : Applied sciences, Environmental science, Remote sensing, Health and environmental sciences, Geography, Social sciences

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Page publiée le 25 janvier 2012, mise à jour le 31 octobre 2018