Open Access Paper
21 November 2019 Correcting topographic effect on Landsat-8 images: an evaluation of using different DEMs in Indonesia
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Proceedings Volume 11311, Sixth Geoinformation Science Symposium; 113110L (2019) https://doi.org/10.1117/12.2549109
Event: Sixth Geoinformation Science Symposium, 2019, Yogyakarta, Indonesia
Abstract
Topographic feature is one of the several factors affecting the distortion of the real reflectance value of objects. Digital processing used the surface reflectance values of satellite imagery needs the corrected images with the most minimized disturbances, hence several topographic correction methods using digital elevation data have been developed. This study examined the different result of topographic correction from several available elevation data in Indonesia, including SRTM DEM, topographic map (RBI), and DEMNAS. Sun-Canopy-Sensor+C (SCS+C) correction was applied on Landsat-8 data over Menoreh Mountains, Indonesia. The results obtained showed that DEMNAS produced the most topographically normalized images based on statistical and visual analysis. The availability of DEMNAS throughout Indonesia is the advantage to be used as an input of this pre-processing method. However, it needs to be examined first since the quality is not surely similar to our study site.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Deha Agus Umarhadi and Projo Danoedoro "Correcting topographic effect on Landsat-8 images: an evaluation of using different DEMs in Indonesia", Proc. SPIE 11311, Sixth Geoinformation Science Symposium, 113110L (21 November 2019); https://doi.org/10.1117/12.2549109
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KEYWORDS
Earth observing sensors

Landsat

Reflectivity

Vegetation

Statistical analysis

Spatial resolution

Data modeling

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