Global ETD Search
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Showing 1 to 8 of 8 for “"spectral mixture analysis"”.
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Spectral Mixture Analysis for Monitoring and Mapping Desertification Processes in Semi-arid Areas in North Kordofan State, Sudan
… processes in North Kordofan State, Sudan.A liear mixture model (LMM) was adopted to analyse and the desertification proccesses by using the image endmembers. interpretation of ancillary data and field observation was adopted to verfiy the role of human impacts in the temporal changes in the study …
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ASSESSING DROUGHT-INDUCED CHANGE IN A PI\xd1ON-JUNIPER WOODLAND WITH LANDSAT: A MULTIPLE ENDMEMBER SPECTRAL MIXTURE ANALYSIS APPROACH
… New Mexico by performing multiple endmember spectral mixture analysis (MESMA) on six Landsat images from 2009 through 2015 using field-based spectral endmembers collected throughout 2015. An ideal spectral seperability date was identified to maximize separation between constituent land cover …
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Multisource Remote Sensing based Impervious Surface Mapping
… NAISI takes advantage of features, rather than spectral band information to map IS. NAISI makes the most of independence between NTL-ISS and pervious surface to address the high spectral similarity between IS and bare soil in optical image. An optical and NTL based spectral mixture analysis …
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Tracking urban growth and composition along the western portion of the U.S. - Mexico border: 1985 -2010
… the remote sensing technique Multiple Endmember Spectral Mixture Analysis (MESMA) was used with spatial metrics to compare relative quantities of vegetation, impervious surface and soil, between eight cities along the western portion of the international boundary. Three separate study areas …
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Arid land condition assessment and monitoring using mulitspectral and hyperspectral imagery.
… to evaluate vegetation indices derived from multispectral satellite imagery for prediction of vegetation cover; 2) to compare vegetation indices and field measurements for detecting vegetation changes and assessing land condition; 3) to examine the potential of hyperspectral imagery for …
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Methodological developments for mapping soil constituents using imaging spectroscopy
… on the direct application of known diagnostic spectral features and their combination with multivariate statistical approaches. It benefits from the collinearity of several diagnostic features and a number of their properties to reduce signal disturbances by influences of other spectral …
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Mapping desertification: towards an approach for mapping regional land degradation in drylands
… from 277 plots was analysed using Latent Class Analysis (LCA) and found to cluster into three separate states. The first state (S1) was comprised primarily of degraded plots. The third state (S3), on the other hand, was comprised primarily of non-degraded plots, while the plots in state two (S2) …