Information-Theoretical Comparison between Actual and Potential Natural Vegetation

Yan Chen 1+, Zongjian Lin 2 and Jiong You 1 
1 School of Remote Sensing Information Engineering, Wuhan University, 129 Luoyu Road, Wuhan 430079
2 Chinese Academy of Surveying and Mapping 16 Beitaiping Road, Beijing 100039, China

Abstract. An information  theory measure of shared information, average mutual information (AMI), was applied to compare the similarity  between potential natural vegetation (PNV) and actual vegetation (AV), where terrain factors were incorporated for mapping PNV, and TM imagery and MNDVI for AV, respectively. Object-oriented approaches were used to produce categorical maps for distributions of PNV and AV.  In order to find the maximum relation between PNV and AV, AMI and contingency tables were used. Results show that AMI is low between PNV and AV, and varies with different scales. Therefore, simple combination of PNV and AV should be implemented with care. 

Keywords: potential natural vegetation (PNV); actual vegetation (AV); average mutual information (AMI); contingency table 

In: Wan, Y. et al. (eds) Proceeding of the 8th international symposium on spatial accuracy assessment in natural resources and environmental sciences, World Academic Union (Press).


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