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Chinese Agricultural Science Bulletin ›› 2011, Vol. 27 ›› Issue (10): 23-28.

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Recognition of Landscape Characteristic Scale Based on Two-dimension Wavelet Analysis in Mountainous Area

  

  • Received:2011-01-10 Revised:2011-02-22 Online:2011-05-15 Published:2011-05-15

Abstract:

With the normalized difference vegetation index (NDVI) and terrain niche index as the landscape variables of vegetation and topography respectively, the validity of two-dimension wavelet was analyzed in recognizing the landscape characteristic scales in Jiaodong mountainous area. In the five sample plots (A, B, C, D, E), the landscape images appeared structure characters on different scales and directions. The results of NDVI detected characteristic scales of country residential, industrial site and farmland, terrain niche index showed typical slope and the distance between the ridge lines. The variations of B, C plots’ wavelet variance were larger than A, D, E plots’ , because B, C plots’ landscape were more fragmented than A, D, E plots’. The variation of E plot’s wavelet variance was larger than A, B, C, D plots’, because E plot’s terrain fluctuated more strongly than A, B, C, D plots’. The most typical characteristic scales were 3200 m and 6400 m for mountain landscape of Qixia city by multiscale characters detection. The research provides scientific basis for the analysis of mountainous landscape pattern and land use.

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