A new bare-soil index for rapid mapping developing areas using LANDSAT 8 data
One of the most basic classification tasks is to distinguish bare-soil areas from urban region. Bare-soil plays an important role in the ecosystem. It could be the reason of dust storms and the indicator of urban expansion. It is also important to monitor the bare-soil areas, but there was no good i...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2014-04-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-4/139/2014/isprsarchives-XL-4-139-2014.pdf |
| Summary: | One of the most basic classification tasks is to distinguish bare-soil areas from urban region. Bare-soil plays an important role in the
ecosystem. It could be the reason of dust storms and the indicator of urban expansion. It is also important to monitor the bare-soil
areas, but there was no good idea to automatically extraction bare-soil areas using existing method. In this work, a new bareness
index (<i>BI</i>) has been developed and applied to map developing region in Pearl River Delta using Landsat OLI/TIRS data in 2013. The
<i>BI</i> based on the logical combination of the Tasseled Cap transformation (<i>TCB</i>) and Normalized Difference Bareness Index (<i>NDBaI</i>).
Results show that the <i>BI</i> not only has a good effect on the enhancement of bare soil information, but also on the inhibition of the
background information, and improve the accuracy of detection. The results of this study could be of scientific and practical merits
in regional remote sensing monitoring and improve the accuracy of land use classification. |
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| ISSN: | 1682-1750 2194-9034 |