Abstract—Biosphere reserve is designed as an international model for exchange knowledge and experiences on sustainable development innovations across national and continental borders. To provide baseline information for future planning and management on biodiversity and environmental conservation this research investigated and evaluated the changes on landscape pattern in the Sakaerat Biosphere Reserve (SBR) of Thailand from 1980 to 2010. Multi-temporal remote sensing, geographic information system, and landscape metrics were applied to classify and analyze changes on landscape types and patterns. SBR landscape was classified into 6 landscape types and then four aspects of landscape metrics were applied to measure SBR landscape structure. The results showed that the natural forest landscape was the major landscape type, followed by the agriculture and the disturbed forest landscapes. Landscapes change occurred mostly in the disturbed forest, forest plantation and the urban landscapes. For landscape metrics measurement, it was found that the SBR landscape pattern variations occurred in increasing of fragmentation and diversity whereas decreasing occurred in core area and shape complexity at landscape level. Concurrently, at class level the indices indicated distinctively the trend of fragmentation, isolation, aggregation and extent of core area in the urban, forest plantation, agriculture, and the disturbed forest class.
Index Terms—Landscape change, landscape metrics, remote sensing.
Intareeya Sutthivanich and Suwit Ongsomwang are with the School of Remote Sensing, Institute of Science, Suranaree University of Technology, Nakhon Ratchasima, 30000, Thailand (e-mail: firstname.lastname@example.org, suwit@)sut.ac.th).
Cite:Intareeya Sutthivanich and Suwit Ongsomwang, "Evaluation on Landscape Change Using Remote Sensing and Landscape Metrics: A Case Study of Sakaerat Biosphere Reserve (SBR), Thailand," International Journal of Environmental Science and Development vol. 6, no. 3, pp. 182-186, 2015.