Preprint Article Version 1 This version is not peer-reviewed

Remote Sensing of Population and Coral Destruction for Long Term on Small Islands

Version 1 : Received: 14 November 2019 / Approved: 15 November 2019 / Online: 15 November 2019 (04:14:59 CET)

How to cite: Nurdin, N.; Hatta, M.; Mashoreng, S.; Amri, K.; Pulubuhu, D.A.T.; Aris, A.; AS, M.A.; Komatsu, T. Remote Sensing of Population and Coral Destruction for Long Term on Small Islands. Preprints 2019, 2019110173 (doi: 10.20944/preprints201911.0173.v1). Nurdin, N.; Hatta, M.; Mashoreng, S.; Amri, K.; Pulubuhu, D.A.T.; Aris, A.; AS, M.A.; Komatsu, T. Remote Sensing of Population and Coral Destruction for Long Term on Small Islands. Preprints 2019, 2019110173 (doi: 10.20944/preprints201911.0173.v1).

Abstract

In general, remote sensing has proven to be a powerful tool in the overall understanding of natural and anthropogenic phenomena. Satellites have become useful tools for tasks such as characterization, monitoring, and the continuous prospecting of natural resources. This research aims to analyze spatial dynamic and destructive on coral reefs area and correlation between live coral reduction and population on small islands. Landsat MSS, TM, ETM, and OLI-TIRS are used to spatial analyze of coral reef dynamics from 1972 to 2016. The image processing includes gap-filling, atmospheric correction, geometric correction, image composite (true color), water column correction, unsupervised classification, reclassification, accuracy assessment. The statistical analysis identifies the relationship between dynamic population data with a reduction of live coral, namely Principal Component Analysis (PCA) and Multiple Regression Analysis. The effect of the population shows a positive correlation with the reduction in the area of live coral, although it is significant. The fact is the practice of coral destruction on an island; it is usually not only caused or carried out by residents who live on the island but also carried out by other residents of different islands.

Subject Areas

coral reef; Landsat; population; remote sensing; small islands

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