Mapping of Vegetation Using Multi-Temporal Downscaled Satellite Images of a Reclaimed Area in Saemangeum, Republic of Korea
The aim of this study is to adapt and evaluate the effectiveness of a multi-temporal downscaled images technique for classifying the typical vegetation types of a reclaimed area. The areas reclaimed from estuarine tidal flats show high spatial heterogeneity in soil salinity conditions. There are thr...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2017-03-01
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| Series: | Remote Sensing |
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| Online Access: | http://www.mdpi.com/2072-4292/9/3/272 |
| _version_ | 1818941321717481472 |
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| author | Mu-Sup Beon Ki Hwan Cho Hyun Ok Kim Hyun-Kyung Oh Jong-Chul Jeong |
| author_facet | Mu-Sup Beon Ki Hwan Cho Hyun Ok Kim Hyun-Kyung Oh Jong-Chul Jeong |
| author_sort | Mu-Sup Beon |
| collection | DOAJ |
| description | The aim of this study is to adapt and evaluate the effectiveness of a multi-temporal downscaled images technique for classifying the typical vegetation types of a reclaimed area. The areas reclaimed from estuarine tidal flats show high spatial heterogeneity in soil salinity conditions. There are three typical vegetation types for which the distribution is restricted by the soil conditions. A halophyte-dominated vegetation is located in a high saline area, grass vegetation is found in a mid- or low saline area, and reed/small-reed vegetation is situated in a low saline area. Multi-temporal satellite images were used to classify the vegetation types. Landsat images were downscaled to take into account spatial heterogeneity using cokriging. A random forest classifier was used for the classification, with downscaled Landsat and RapidEye images. Classification with RapidEye images alone demonstrated a lower level of accuracy than when combined with multi-temporal downscaled images. The results demonstrate the usefulness of a downscaling technique for mapping. This approach can provide a framework which is able to maintain low costs whilst producing richer images for the monitoring of a large and heterogeneous ecosystem. |
| first_indexed | 2024-12-20T06:53:41Z |
| format | Article |
| id | doaj.art-92b396c20318461dbe7cd9fb28afba04 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-12-20T06:53:41Z |
| publishDate | 2017-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-92b396c20318461dbe7cd9fb28afba042022-12-21T19:49:26ZengMDPI AGRemote Sensing2072-42922017-03-019327210.3390/rs9030272rs9030272Mapping of Vegetation Using Multi-Temporal Downscaled Satellite Images of a Reclaimed Area in Saemangeum, Republic of KoreaMu-Sup Beon0Ki Hwan Cho1Hyun Ok Kim2Hyun-Kyung Oh3Jong-Chul Jeong4Department of Landscape Architecture, Chonbuk National University, 567 Baekje-daero, Jeonju-si 54896, KoreaDepartment of Landscape Architecture, Chonbuk National University, 567 Baekje-daero, Jeonju-si 54896, KoreaEarth Observation Research Team, Korea Aerospace Research Institute, 169-84, Gwahak-ro, Yuseong-Gu, Daejeon 34133, KoreaDongyeong Forest, Keimyung University, 1095 Dalgubeol-daero, Dalseo-gu, Daegu Metropolitan City 42601, KoreaDepartment of Geographic Information Systems Engineering, Namseoul University, 91 Daehak-ro Seonghwan-eup Sebuk-gu, Cheonan-si 31020, KoreaThe aim of this study is to adapt and evaluate the effectiveness of a multi-temporal downscaled images technique for classifying the typical vegetation types of a reclaimed area. The areas reclaimed from estuarine tidal flats show high spatial heterogeneity in soil salinity conditions. There are three typical vegetation types for which the distribution is restricted by the soil conditions. A halophyte-dominated vegetation is located in a high saline area, grass vegetation is found in a mid- or low saline area, and reed/small-reed vegetation is situated in a low saline area. Multi-temporal satellite images were used to classify the vegetation types. Landsat images were downscaled to take into account spatial heterogeneity using cokriging. A random forest classifier was used for the classification, with downscaled Landsat and RapidEye images. Classification with RapidEye images alone demonstrated a lower level of accuracy than when combined with multi-temporal downscaled images. The results demonstrate the usefulness of a downscaling technique for mapping. This approach can provide a framework which is able to maintain low costs whilst producing richer images for the monitoring of a large and heterogeneous ecosystem.http://www.mdpi.com/2072-4292/9/3/272vegetation classificationrandom forestdownscalingmulti-temporal imagecokrigingSaemangeum |
| spellingShingle | Mu-Sup Beon Ki Hwan Cho Hyun Ok Kim Hyun-Kyung Oh Jong-Chul Jeong Mapping of Vegetation Using Multi-Temporal Downscaled Satellite Images of a Reclaimed Area in Saemangeum, Republic of Korea Remote Sensing vegetation classification random forest downscaling multi-temporal image cokriging Saemangeum |
| title | Mapping of Vegetation Using Multi-Temporal Downscaled Satellite Images of a Reclaimed Area in Saemangeum, Republic of Korea |
| title_full | Mapping of Vegetation Using Multi-Temporal Downscaled Satellite Images of a Reclaimed Area in Saemangeum, Republic of Korea |
| title_fullStr | Mapping of Vegetation Using Multi-Temporal Downscaled Satellite Images of a Reclaimed Area in Saemangeum, Republic of Korea |
| title_full_unstemmed | Mapping of Vegetation Using Multi-Temporal Downscaled Satellite Images of a Reclaimed Area in Saemangeum, Republic of Korea |
| title_short | Mapping of Vegetation Using Multi-Temporal Downscaled Satellite Images of a Reclaimed Area in Saemangeum, Republic of Korea |
| title_sort | mapping of vegetation using multi temporal downscaled satellite images of a reclaimed area in saemangeum republic of korea |
| topic | vegetation classification random forest downscaling multi-temporal image cokriging Saemangeum |
| url | http://www.mdpi.com/2072-4292/9/3/272 |
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