Paper
14 July 2003 Investigation of surface ecological environment by remote sensing in semi-arid and arid region in the northern part of Shaanxi Province
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Proceedings Volume 4890, Ecosystems Dynamics, Ecosystem-Society Interactions, and Remote Sensing Applications for Semi-Arid and Arid Land; (2003) https://doi.org/10.1117/12.466613
Event: Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2002, Hangzhou, China
Abstract
In the semi-arid and arid region in northern Shaanxi Province, 11 TM images were selected as information source. On the platform of ERDAS IMAGINE, based on the classification signatures established according to the training fields by in situ surface investigations and with the support of various information from GIS, the computer-supervised classification was used to extensively investigate the surface eco-environmental factors, such as the vegetation, land use type and vegetation coverage. The total area covers 84000 Km2. The average precision of classification is 83.78%, Kappa coefficient 0.819. Thematic maps have been compiled at the scale of 1:100,000. The features of surface eco-environment in this area are briefly analyzed on the basis of the remote sensing investigation results.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Anlin Liu, Dengke Li, Fengdong Deng, Jinghong Zhang, Jin Dai, and Jing Zhuo "Investigation of surface ecological environment by remote sensing in semi-arid and arid region in the northern part of Shaanxi Province", Proc. SPIE 4890, Ecosystems Dynamics, Ecosystem-Society Interactions, and Remote Sensing Applications for Semi-Arid and Arid Land, (14 July 2003); https://doi.org/10.1117/12.466613
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KEYWORDS
Vegetation

Remote sensing

Image classification

Classification systems

Geographic information systems

Earth observing sensors

Environmental sensing

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