Paper
3 November 2008 A quantitative analysis of the grassland landscape pattern in arid oasis: a case study in the Qira
Guljamal Ubul, Janli Ding, Ahmatjan Ruzi
Author Affiliations +
Proceedings Volume 7145, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments; 71452G (2008) https://doi.org/10.1117/12.813072
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China
Abstract
At present the remote sensing technology has become one of the most essential tools in the landscape ecology research. This paper is based on RS images from Landsat TM (1990), ETM (1999) and Aster (2004) imagery, with the support of RS and GIS technology and utilization of landscape ecology principle. Selected suitable image processing system, classification approaches and techniques and made a quantitative analysis of the study area's grassland landscape pattern change. RS image processing software (PCI) and landscape pattern analyzing software (Fragstats) is used in this article. The result shows that: in 1990, 1999 and 2004 the land use landscape pattern in study area experienced the considerable change. As far as the dynamic change of grassland landscape in the study area is concerned, natural factor takes certain driving action but human activities are the main driving force.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Guljamal Ubul, Janli Ding, and Ahmatjan Ruzi "A quantitative analysis of the grassland landscape pattern in arid oasis: a case study in the Qira", Proc. SPIE 7145, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments, 71452G (3 November 2008); https://doi.org/10.1117/12.813072
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KEYWORDS
Remote sensing

Image classification

Quantitative analysis

Classification systems

Ecology

Image processing

Analytical research

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