Multi Spectral Satellite Data to Investigate Land Expansion and Related Micro Climate Change as Threats to the Environment

• Published in: IOP conference series. Earth and environmental science 2019-07, Vol.303 (1), p.12030
• Main Authors: Hanif, M, Putra, B G, Nizam, K, Rahman, H, Nofrizal, A Y
• Format: Article
• Language: English
• Subjects: Algorithms; Climate change; Earth observations (from space); ecosystem; Expansion; Image analysis; Image processing; Land cover; land expansion; Land surface temperature; Land use; Microclimate; Remote sensing; Remote sensors; satellite data; Satellite observation; Satellites; Spectra; Spectral analysis; Spectral sensitivity; Spectrum analysis; Time series
• ISSN: 1755-1307; 1755-1315
• DOI: 10.1088/1755-1315/303/1/012030

Technology development of satellite earth observation offers multi-spectral data, variations sensitivity of satellite sensors are very useful to detect existing conditions by using the remote sensing algorithm to extract the land cover and the phenomenon that has occurred. Ecosystems have bound tolerance to nature condition and organisms have adaptation limit to climate change. Method used in this study was the extraction of land cover by applying multi spectral analysis as Maximum Likelihood, object base image analysis, (LST) land surface temperature, and also the formula Threat of Land Expansion (TLE) to the environment. Result showed that multispectral and time series analysis gave the increasing dynamic of land expansion, especially for forest high density, which areas ranged from 29098.73 ha in 2000 to 19216.7 ha in 2018. The surface temperature increase was ± 2.8 C° in eighteen years. The temperature dynamic represented the micro climate changes, has followed stream of land expansion. TLE represented zone threats of land expansion to natural ecosystems. It was found that threat zone because land expansion. The area of high threat vale 0.4 around central human activity was a built up area.