Paper
14 December 2015 Study on forest landscape diversity based on ArcGIS and GS +
Yujuan Zhang, Jianguang Qu, Dandan Liu, Jinling Yang, Dan Li
Author Affiliations +
Proceedings Volume 9815, MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 98150S (2015) https://doi.org/10.1117/12.2204881
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China
Abstract
This paper analyses the forest landscape diversity of the study area with the help of ArcGIS10 and GS+ software. The forest landscape diversity and spatial interpolation and spatial differentiation are also carried out. The result shows that the maximum value of SHDI in 1997is 2.0463 and the minimum value is 0.2544 , which are 1.9722 and 0.2418 in the year of 2009. The advantage religion of SHDI mainly distributes in the middle of the study region , showing a band region from southwest to northeast . The forest landscape diversity and the space location have a moderate spatial correlation and a obvious structural under a forest level.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yujuan Zhang, Jianguang Qu, Dandan Liu, Jinling Yang, and Dan Li "Study on forest landscape diversity based on ArcGIS and GS +", Proc. SPIE 9815, MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 98150S (14 December 2015); https://doi.org/10.1117/12.2204881
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KEYWORDS
Statistical analysis

Geographic information systems

Remote sensing

Spatial analysis

Biological research

Data centers

Data modeling

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