<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Reflectance variability in mountainous regions caused by steep slopes can decrease the accuracy of landcover mapping. Topographic correction aims to reduce this effect, and various techniques have been proposed to conduct such correction on satellite imagery. This paper presents the initial results of five different topographic correction techniques applied to LAPAN-A3 multispectral images, namely cosine correction, improved cosine correction, Minnaert correction, modified Minnaert correction and two-stage normalization. The widely-available ALOS World 3D 30 meter DEM was employed, with the evaluation made in a mountainous area in South Sulawesi, Indonesia, located in an ancient volcanic region, with slopes ranging from 0 to 60 degrees. The slope aspect was almost equally distributed in all directions. Visual and statistical analysis was conducted before and after the topographic correction to evaluate the results. Standard deviation (SD) and the coefficient variation (CV) were calculated; the results show that the topographic corrections were able to reduce the effect of shadows and relief. Minnaert correction proved to be the best method in terms of visual appearance and spectral variability reduction.</p>
</abstract>

Reflectance variability in mountainous regions caused by steep slopes can decrease the accuracy of landcover mapping. Topographic correction aims to reduce this effect, and various techniques have been proposed to conduct such correction on satellite imagery. This paper presents the initial results of five different topographic correction techniques applied to LAPAN-A3 multispectral images, namely cosine correction, improved cosine correction, Minnaert correction, modified Minnaert correction and two-stage normalization. The widely-available ALOS World 3D 30 meter DEM was employed, with the evaluation made in a mountainous area in South Sulawesi, Indonesia, located in an ancient volcanic region, with slopes ranging from 0 to 60 degrees. The slope aspect was almost equally distributed in all directions. Visual and statistical analysis was conducted before and after the topographic correction to evaluate the results. Standard deviation (SD) and the coefficient variation (CV) were calculated; the results show that the topographic corrections were able to reduce the effect of shadows and relief. Minnaert correction proved to be the best method in terms of visual appearance and spectral variability reduction.

Topographic Correction of LAPAN-A3/LAPAN-IPB Multispectral Image: A Comparison of Five Different Algorithms

Remote Sensing Technology and Data Center

Quaestiones Geographicae

This work is licensed under the Creative Commons Attribution 3.0 Public License.

Reflectance variability in mountainous regions caused by steep slopes can decrease the accuracy of landcover mapping. Topographic correction aims to reduce...

Topographic Correction of LAPAN-A3/LAPAN-IPB Multispectral Image: A Comparison of Five Different Algorithms

Online veröffentlicht: 05. Aug. 2020

Seitenbereich: 33 - 45

Eingereicht: 25. Feb. 2020

DOI: https://doi.org/10.2478/quageo-2020-0021

Schlüsselwörter
LAPAN-A3/LAPAN-IPB, AW3D30, Minnaert, cosine correction, two-stage normalization, coefficient of variation

© 2020 Zylshal Zylshal, published by Sciendo

This work is licensed under the Creative Commons Attribution 3.0 Public License.

Topographic Correction of LAPAN-A3/LAPAN-IPB Multispectral Image: A Comparison of Five Different Algorithms

Online veröffentlicht: 05. Aug. 2020

Seitenbereich: 33 - 45

Eingereicht: 25. Feb. 2020

DOI: https://doi.org/10.2478/quageo-2020-0021

SchlüsselwörterLAPAN-A3/LAPAN-IPB, AW3D30, Minnaert, cosine correction, two-stage normalization, coefficient of variation

© 2020 Zylshal Zylshal, published by Sciendo

This work is licensed under the Creative Commons Attribution 3.0 Public License.

Schlüsselwörter
LAPAN-A3/LAPAN-IPB, AW3D30, Minnaert, cosine correction, two-stage normalization, coefficient of variation