The application of high spatial resolution remote sensing image for vegetation type recognition in Dagou Valley

Aqiang Yang; Chuang Liu; Jianrong Fan; Jinling Zhao; Jing Tan

doi:10.1117/12.813215

7 November 2008 The application of high spatial resolution remote sensing image for vegetation type recognition in Dagou Valley

Aqiang Yang, Chuang Liu, Jianrong Fan, Jinling Zhao, Jing Tan

Author Affiliations +

Proceedings Volume 7147, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images; 71470F (2008) https://doi.org/10.1117/12.813215
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China

Abstract

This paper present a detail processing procedure about SPOT5 image applied for vegetation type recognition, and determines the capacity of high spatial resolution satellite image data to discriminate vegetation type in a complex ecosystem. A high spatial resolution SPOT5 image, captured in April 2005, and coincident field data covering the Dagou valley, was used in this analysis. Image geometric rectification and image fusion are then introduced to take prepare for classification. Subsequently, a maximum likelihood classification algorithm was applied to the SPOT5 image data to map the vegetation classes. Field validation and accuracy assessment are crucial to ensure the reliability of classification results. The strategy of field work and the resulting accuracy evaluations were presented, and yielded the high classification accuracy (overall accuracy=83.86%, Kappa=80.23%). The result showed that the information on vegetation types can be mapped effectively from high spatial resolution satellite image data.

Citation Download Citation

Aqiang Yang, Chuang Liu, Jianrong Fan, Jinling Zhao, and Jing Tan "The application of high spatial resolution remote sensing image for vegetation type recognition in Dagou Valley", Proc. SPIE 7147, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images, 71470F (7 November 2008); https://doi.org/10.1117/12.813215

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KEYWORDS

Vegetation

Image fusion

Image classification

Spatial resolution

Remote sensing

Satellites

Multispectral imaging

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