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- W2389335433 abstract "The Longyangxia Reservoir is the largest hydraulic power and water conservancy project in the up stream of the Yellow River, with integrated functions of generating electricity, irrigating farmland and controling flood. People pay great attention to the land use/land cover(LUCC) of region around the reservoir, the sand quantity entering the reservoir, land desertification, grass land degradation and so on. The multi-temporal and multi-spectral remote sensed data were used in this study. According to the eco-environment characteristics of the study area as well as finished study work, integrated with SSHC, MLS and PCA, the land-use and land-cover change of Longyangxia Reservoir area was analyzed from 1987 to 1999. The different methods were adopted to extract different thematic information of environmental factors. The MLS and PCA methods were applied in obtaining information of cropland, water area and other non-use lands. The supervise classification based on SSHC was used to gain grassland information. The result showed that the effect for extracting grassland information using SSHC is well, the accuracy of classification may increase 4.2% compared with Bayes′ classification, the Kappa coefficient of SSHC is 0.84, while the Kappa coefficient of Bayes is 0.78. Thus it can be seen that SSHC is well than other methods in some aspects in imagery classification." @default.
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- W2389335433 date "2004-01-01" @default.
- W2389335433 modified "2023-09-23" @default.
- W2389335433 title "Application of Hierarchical Clustering Algorithm Based on Multiscale space in Land Use and Land Cover Study" @default.
- W2389335433 hasPublicationYear "2004" @default.
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