Title :
ANN-Based Remote Sensing Estimation of Ecosystem Service Values in Meizhou Proper, China
Author_Institution :
Sch. of Geogr. & Tourism, Jiaying Univ., Meizhou, China
Abstract :
Based on land use/cover extracting from artificial neural network (ANN) classification of Landsat TM/ETM+ data, the ecosystem service values (ESVs) of Meizhou proper in 2001 and 2007 were studied by using remote sensing and Xie et al.\´s method of ESV calculation. The annual total ESV in Meizhou proper was 582.3 million Yuan in 2001 and 581.1 million Yuan in 2007, with a slight decline of 1.2 million Yuan from 2001 to 2007 due to the reducing areas of garden plot, farmland and water body. The ESVs of soil formation & conservation and water conservation got the top two highest, and the ESV of food production the lowest one of all nine ecosystem functions. Land use/cover (LUC) changes were mainly responsible for the ESV variations in Meizhou proper. It is suggested that some measures such as a reasonable land use plan should be made to preserve the ecosystem services and promote "Green Rising" of Meizhou for sustainable development.
Keywords :
ecology; feature extraction; geophysical image processing; image classification; land use planning; neural nets; terrain mapping; ANN-based remote sensing estimation; China; Landsat TM/ETM+ data; Meizhou proper; artificial neural network classification; ecosystem service values; food production; green rising; land cover extraction; land use extraction; land use plan; soil conservation; soil formation; sustainable development; water conservation; Industrial control; Artificial neural network (ANN); Ecosystem service value (ESV); Land use/cover (LUC); Meizhou; Remote sensing;
Conference_Titel :
Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4673-1450-3
DOI :
10.1109/ICICEE.2012.442
