TELKOMNIKA Telecommunication, Computing, Electronics and Control
Roof materials identification based on pleiades spectral responses using supervised classification

TELKOMNIKA Telecommunication, Computing, Electronics and Control
Roof materials identification based on pleiades spectral responses using supervised classification

Classification
Machine learning
Reflectance response
Roof materials
Satellite imagery

The current urban environment is very dynamic and always changes both
physically and socio-economically very quickly. Monitoring urban areas is
one of the most relevant issues related to evaluating human impacts on
environmental change. Nowadays remote sensing technology is increasingly
being used in a variety of applications including mapping and modeling of
urban areas. The purpose of this paper is to classify the Pleiades data for the
identification of roof materials. This classification is based on data from
satellite image spectroscopy results with very high resolution. Spectroscopy
is a technique for obtaining spectrum or wavelengths at each position from
various spatial data so that images can be recognized based on their

respective spectral wavelengths. The outcome of this study is that high-
resolution remote sensing data can be used to identify roof material and can

map further in the context of monitoring urban areas. The overall value of
accuracy and Kappa Coefficient on the method that we use is equal to
92.92% and 0.9069.

Ayom Widipaminto, Yohanes Fridolin Hestrio, Yuvita Dian Safitri, Donna Monica, Dedi Irawadi, Rokhmatuloh, Djoko Triyono, Erna Sri Adiningsih

http://journal.uad.ac.id/index.php/TELKOMNIKA

Nov 25, 2020

peri irawan

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