Research on landscape pattern change in Niyanghe watershed based on remote sensing and GIS

Yunyun Jiang; Changqing Ke

doi:10.1117/12.760810

26 July 2007 Research on landscape pattern change in Niyanghe watershed based on remote sensing and GIS

Yunyun Jiang, Changqing Ke

Proceedings Volume 6752, Geoinformatics 2007: Remotely Sensed Data and Information; 67523E (2007) https://doi.org/10.1117/12.760810
Event: Geoinformatics 2007, 2007, Nanjing, China

Abstract

In this paper Landsat images, including MSS in 1978, TM in 1988 and ETM in 2001, and ancillary data were selected to investigate the landscape pattern change in Niyanghe watershed. Firstly, the images were classified respectively to get the three landscape maps; then some landscape pattern analytical indices such as number of patch, shape index, contagion, fractal dimension, Shannon index and evenness index were introduced to describe the temporal-spatial change of landscape pattern in the study area assisted by spatial analytical techniques of GIS. The results showed that bare-land was the main landscape type. During the periods of 1978-1988 and 1988-2001, the increased arable land area was the largest, and the increase speed was the fastest compared with all other landscape types, the significant newly-increased arable land derived from bare-land and grassland. The area of grassland increased rapidly. The area of bare-land decreased gradually every year, whereas bare-land was mainly converted into arable land and grassland. Forest land area has decreased recently because of being reclaimed into arable land. From 1978 to 2001, the extent of fragmentation, evenness and diversity increased, contagion index decreased conversely, shape of landscape types became more and more complicated. The main driving factors for landscape pattern change were human factors such as population growth, consumption demands, economy development, transportation, policy, and so on.

Citation Download Citation

Yunyun Jiang and Changqing Ke "Research on landscape pattern change in Niyanghe watershed based on remote sensing and GIS", Proc. SPIE 6752, Geoinformatics 2007: Remotely Sensed Data and Information, 67523E (26 July 2007); https://doi.org/10.1117/12.760810

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