Title :
Land cover classification analysis about water and elevation in East Dongting wetland
Author :
Zhu Zijuan ; Zhang Huaiqing ; Liu Hua
Author_Institution :
CAF, Inst. of Forest Resource Inf. Tech. (IFRIT), Beijing, China
Abstract :
Remote sensing has been an important mean of resource monitor, especially monitoring wetlands where researchers can hardly get to. This paper applied SPOT-5 image to classify the East Dongting Lake area into five cover types using the decision tree classification method. The five cover types were water, mudflats, bare ground, low-coverage marsh land and high-coverage marsh land. According to results of band analysis, this paper extracted the water by adding fourth band and first band, resulting that the water body boundaries extracted by band calculated using this method are highly consistent with water body in the image after SPOT-5 panchromatic and Multi-spectral bands fusion. Then a multilayer buffer was created based on waterbody through referring to the elevation value distribution histogram. we defined the levels range and divided the elevation into 6 levels. Finally, relationship between various cover types and elevation and relationship between various cover types and water buffers were analyzed, drawing them with water distance relationship.
Keywords :
decision trees; geophysical image processing; image classification; lakes; land cover; terrain mapping; water resources; wetlands; East Dongting Lake area; East Dongting wetland monitoring; SPOT-5 image; SPOT-5 panchromatic-multispectral band fusion; band analysis; bare ground; elevation value distribution histogram; high-coverage marsh land; land cover classification analysis; land cover types; low-coverage marsh land; mudflats; multilayer buffer; remote sensing; resource monitor; water body boundaries; water buffers; water distance relationship; Conferences; Earth; Lakes; Monitoring; Remote sensing; Vegetation mapping; Water resources; Decision tree; Land cover classification; Remote sensing; Water buffers;
Conference_Titel :
Earth Observation and Remote Sensing Applications (EORSA), 2014 3rd International Workshop on
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-5757-6
DOI :
10.1109/EORSA.2014.6927936