2019
DOI: 10.1088/1755-1315/303/1/012030
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Multi Spectral Satellite Data to Investigate Land Expansion and Related Micro Climate Change as Threats to the Environment

Abstract: 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 imag… Show more

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Cited by 9 publications
(5 citation statements)
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“…By referring to the value of losses, it is necessary to carefully consider the management of coastal areas in an effort to mitigate coastal flood disasters [12]. However, the coastal flood disaster conditions may become more severe in the future due to the contribution of global warming which causes an increase in sea surface height [14], and weather anomalies resulting in various hydrometeorological disasters in coastal areas [3,4].…”
Section: Resultsmentioning
confidence: 99%
“…By referring to the value of losses, it is necessary to carefully consider the management of coastal areas in an effort to mitigate coastal flood disasters [12]. However, the coastal flood disaster conditions may become more severe in the future due to the contribution of global warming which causes an increase in sea surface height [14], and weather anomalies resulting in various hydrometeorological disasters in coastal areas [3,4].…”
Section: Resultsmentioning
confidence: 99%
“…(Barun, 2017) The plantation is a real challenge and threat to the ecosystem and biodiversity. This land expansion activity is a challenge for the preservation of the peatland ecosystem (Hanif et al 2017(Hanif et al . 2019 where a pure circle of the ecosystem and many native species are less frequent within plantations than within native forests, decline species population and many incident conflicts between animal and human because of the development of plantation area on the peatland ecosystem in Riau (Saavedra andSimonetti, 2005, Uryu, 2008).…”
Section: Resultsmentioning
confidence: 99%
“…To identification agricultural changes we use spatial analysis, which to obtain the information about the land cover can also by interpreting the Imagery [9]. Where image analysis process used multi spectral satellite image classification, this techniques used algorithm Maximum Likelihood as part of supervised classification, which is known as a well-established image classification statistical model in grouping pixels for land cover identification [10]. It possible to compute the statistical probability of a pixel vector being a member of each spectral class [11].…”
Section: Data Processing 1 Land Cover Changementioning
confidence: 99%