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Classification of Soil Desalination Areas Using High Resolution Satellite Imagery in Saemangeum Reclaimed Land
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 Title & Authors
Classification of Soil Desalination Areas Using High Resolution Satellite Imagery in Saemangeum Reclaimed Land
Lee, Kyung-Do; Baek, Shin-Chul; Hong, Suk-Young; Kim, Yi-Hyun; Na, Sang-Il; Lee, Kyeong-Bo;
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 Abstract
This study was aimed to classify soil desalination area for cultivation using NDVI (Normalized difference vegetation index) of high-resolution satellite image because the soil salinity affects the change of plant community in reclaimed lands. We measured the soil salinity and NDVI at 28 sites in the Saemangeum reclaimed land in June 2013. In halophyte and non-vegetation sites, no relation was found between NDVI and soil salinity. In glycophyte sites, however, we found that the soil salinity was below 0.1% and NDVI ranged from 0.11 to 0.57 which was greater than the other sites. So, we could distinguish the glycophyte sites from the halophyte sites and non-vegetation, and classify the area that soil salinty was below 0.1%. This technique could save the time and labor to measure the soil salinity in large area for agricultural utilization.
 Keywords
RapidEye;Satellite imagery;Soil salinity;NDVI;Saemangeum reclaimed land;
 Language
Korean
 Cited by
1.
Mapping of Vegetation Using Multi-Temporal Downscaled Satellite Images of a Reclaimed Area in Saemangeum, Republic of Korea, Remote Sensing, 2017, 9, 3, 272  crossref(new windwow)
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