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— Accurate remote estimation of chlorophyll-a (CHL) concentration for turbid inland waters is a challenging task due to their optical complexity. In situ spectra (n = 666) measured with ASD and Ocean Optics spectrometers from three drinking water sources in Indiana, USA, were used to calibrate the partial least squares model (PLS), artificial neural network(More)
Locations of collapsed buildings (CBs) caused by earthquake are the most needed information by the disaster reduction team, due to their strong correlation with losses of properties and human lives. Optical remote sensing images with high spatial resolution (OIHR) play an important role in extracting CBs. Currently there are mainly two approaches: manual(More)
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