Comparison of Spectral Analysis Techniques for Impervious Surface Estimation Using Landsat Imagery

The spatiotemporal evolution of an impervious surface (IS) is significant for urban planning. In this paper, the IS was extracted and its spatiotemporal evolution for the Chengdu urban area was analyzed based on Landsat imagery. Our experimental results indicated that convolutional neural networks achieved the better performance with an overall accuracy of 98.32%, Kappa coefficient of 0.98, and Macro F1 of 98.28%, and the farmland was replaced by IS from 2001 to 2017, and the IS area (ISA) increased by 51.24 km2; that is, the growth rate was up to 13.8% in sixteen years. According to the landscape metrics, the IS expanded and agglomerated into large patches from small fragmented ones. In addition, the gross domestic product change of the secondary industry was similar to the change of ISA between 2001 and 2017. Thus, the spatiotemporal evolution of IS was associated with the economic development of the Chengdu urban area in the past sixteen years.

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Impact of Climate Zone on Impervious Surface Estimation and Mapping

Remote Sensing of Impervious Surfaces in Tropical and Subtropical Areas ◽

10.1201/b18836-10 ◽

2015 ◽

pp. 82-105

Keyword(s):

Impervious Surface ◽

Climate Zone ◽

Surface Estimation

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Experimental simulation of stochastic stream response to thermal inputs and application of spectral analysis techniques

Water Research ◽

10.1016/0043-1354(74)90077-3 ◽

1974 ◽

Vol 8 (7) ◽

pp. 455-466 ◽

Cited By ~ 1

Author(s):

K.P.Radha Krishnan ◽

J.J. Lizcano ◽

L.T. Fan ◽

L.E. Erickson

Keyword(s):

Spectral Analysis ◽

Experimental Simulation ◽

Analysis Techniques ◽

Stream Response

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Stellar parameters with FASMA: a new spectral synthesis package

Proceedings of the International Astronomical Union ◽

10.1017/s1743921317006202 ◽

2017 ◽

Vol 12 (S330) ◽

pp. 271-272

Author(s):

M. Tsantaki ◽

D. T. Andreasen ◽

G. D. C. Teixeira ◽

S. G. Sousa ◽

N. C. Santos ◽

...

Keyword(s):

Spectral Analysis ◽

Spectral Synthesis ◽

Computational Time ◽

Spectral Information ◽

Atmospheric Parameters ◽

Chemical Abundances ◽

Analysis Techniques ◽

Medium Resolution ◽

Similar Accuracy ◽

Temperature Surface

AbstractCurrent Galactic surveys, including the Gaia mission, rely on the efficiency of the spectral analysis techniques to provide precise and accurate spectral information (i.e. effective temperature, surface gravity, metallicity, and chemical abundances) in the shortest computational time. In this work, we present a new package to preform complete spectral analyses based on the spectral synthesis technique (Tsantaki et al. 2017, submitted). We focus on deriving atmospheric parameters for FGK-type stars using both high and medium resolution (GIRAFFE) spectra. This method is implemented on the Gaia-ESO benchmark stars to confirm its validity, achieving similar accuracy for the two resolution setups.

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