An Optimal Monitoring Model of Desertification in Naiman Banner Based on Feature Space Utilizing Landsat8 Oli Image
Current feature space models of desertification were almost linear, which ignored the complicated and non-linear relationships among variables for monitoring desertification. Fully considering the influencing factors of the desertification process in Naiman Banner, four sensitive indices including M...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8945234/ |
| _version_ | 1819276488580530176 |
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| author | Bing Guo Ye Wen |
| author_facet | Bing Guo Ye Wen |
| author_sort | Bing Guo |
| collection | DOAJ |
| description | Current feature space models of desertification were almost linear, which ignored the complicated and non-linear relationships among variables for monitoring desertification. Fully considering the influencing factors of the desertification process in Naiman Banner, four sensitive indices including MSAVI, NDVI, TGSI, and Albedo have been selected to construct five feature spaces. Then, the precisions of different feature space models for monitoring desertification information (including non-linear and linear models) have been compared and analyzed. The non-linear Albedo-MSAVI feature space model for Naiman Banner has higher efficiency with the overall precision of 90.1%, while that of Albedo-TGSI had the worst precision with 0.69. Overall, the feature space model (non-linear) of Albedo-MSAVI has the highest applicability for monitoring the desertification information in Naiman Banner. |
| first_indexed | 2024-12-23T23:41:01Z |
| format | Article |
| id | doaj.art-197333df812241bdb37025ffcb2d4afa |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-23T23:41:01Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-197333df812241bdb37025ffcb2d4afa2022-12-21T17:25:40ZengIEEEIEEE Access2169-35362020-01-0184761476810.1109/ACCESS.2019.29629098945234An Optimal Monitoring Model of Desertification in Naiman Banner Based on Feature Space Utilizing Landsat8 Oli ImageBing Guo0https://orcid.org/0000-0003-0042-9643Ye Wen1https://orcid.org/0000-0003-2442-5110School of Civil Architectural Engineering, Shandong University of Technology, Zibo, ChinaCollege of Land and Environment, Shenyang Agricultural University, Shenyang, ChinaCurrent feature space models of desertification were almost linear, which ignored the complicated and non-linear relationships among variables for monitoring desertification. Fully considering the influencing factors of the desertification process in Naiman Banner, four sensitive indices including MSAVI, NDVI, TGSI, and Albedo have been selected to construct five feature spaces. Then, the precisions of different feature space models for monitoring desertification information (including non-linear and linear models) have been compared and analyzed. The non-linear Albedo-MSAVI feature space model for Naiman Banner has higher efficiency with the overall precision of 90.1%, while that of Albedo-TGSI had the worst precision with 0.69. Overall, the feature space model (non-linear) of Albedo-MSAVI has the highest applicability for monitoring the desertification information in Naiman Banner.https://ieeexplore.ieee.org/document/8945234/Albedo-MSAVImonitoring modelfeature spaceLandsat8 OLINaiman Banner |
| spellingShingle | Bing Guo Ye Wen An Optimal Monitoring Model of Desertification in Naiman Banner Based on Feature Space Utilizing Landsat8 Oli Image IEEE Access Albedo-MSAVI monitoring model feature space Landsat8 OLI Naiman Banner |
| title | An Optimal Monitoring Model of Desertification in Naiman Banner Based on Feature Space Utilizing Landsat8 Oli Image |
| title_full | An Optimal Monitoring Model of Desertification in Naiman Banner Based on Feature Space Utilizing Landsat8 Oli Image |
| title_fullStr | An Optimal Monitoring Model of Desertification in Naiman Banner Based on Feature Space Utilizing Landsat8 Oli Image |
| title_full_unstemmed | An Optimal Monitoring Model of Desertification in Naiman Banner Based on Feature Space Utilizing Landsat8 Oli Image |
| title_short | An Optimal Monitoring Model of Desertification in Naiman Banner Based on Feature Space Utilizing Landsat8 Oli Image |
| title_sort | optimal monitoring model of desertification in naiman banner based on feature space utilizing landsat8 oli image |
| topic | Albedo-MSAVI monitoring model feature space Landsat8 OLI Naiman Banner |
| url | https://ieeexplore.ieee.org/document/8945234/ |
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