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- W2351987923 abstract "It is very important to obtain vegetation information for evaluating ecology environment.In this study,the dimidiate pixel model was used to determine vegetation coverage of Qingyuan County from 1994 to 2007 based on multi-temporal Landsat Thematic Mapper(TM) and Enhanced Thematic Mapper Plus(ETM+) image data.Then temporal-spatial changes of the vegetation coverage during this period were analyzed using a change classification method and six landscape fragmentation indexes with four types of vegetation coverage:high(75% coverage),medium high(50%-75%),medium low(25%-50%),and low(25%).Results showed that in 2007,90.8% of the total area was considered a high vegetation coverage area with 657.4 km2 of the medium high vegetation coverage area during these 13 years being converted into high vegetation coverage,especially from 1994 to 1999.During the research period,the steeper sloping area had higher vegetation coverage.However,the less the slope,the faster the vegetation coverage increased with gently sloping areas(15°) increasing to over 15% coverage.Results of vegetation coverage change showed that in the eastern part of Qingyuan County,vegetation restoration was favorable from 1994 to 1999 as it was in the Baishanzu Nature Reserve from 1999 to 2007.Also,during the 13 year research period,the landscape fragmentation index continuously decreased,whereas the mean patch size increased,especially for the high vegetation coverage area that saw an increase from 9.66 to 182.82 hm2.Thus,from 1994 to 2007,vegetation coverage in Qingyuan County increased favorably.Our study confirms that this is a feasible approach in the estimation of vegetation coverage over large area from remote sensing data.[Ch,2 fig.6 tab.15 ref.]" @default.
- W2351987923 created "2016-06-24" @default.
- W2351987923 creator A5059945277 @default.
- W2351987923 date "2011-01-01" @default.
- W2351987923 modified "2023-09-26" @default.
- W2351987923 title "Image analysis of vegetation coverage and changes(1994-2007) in Qingyuan County using multi-temporal Landsat remote sensing" @default.
- W2351987923 hasPublicationYear "2011" @default.
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