Spatial-Temporal Pattern of Land Use and SDG15 Assessment in the Bohai Rim Region Based on GEE and RF Algorithms
The United Nations has proposed Sustainable Development Goal 15 (SDG15), which emphasizes the importance of sustainable land development. This study aims to use remote sensing data to build a spectral index feature dataset based on Google Earth Engine (GEE) platform, dig deep spectral features of gr...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10478142/ |
| _version_ | 1827289989075959808 |
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| author | Lina Ke Daqi Liu Qin Tan Shuting Wang Quanming Wang Jun Yang |
| author_facet | Lina Ke Daqi Liu Qin Tan Shuting Wang Quanming Wang Jun Yang |
| author_sort | Lina Ke |
| collection | DOAJ |
| description | The United Nations has proposed Sustainable Development Goal 15 (SDG15), which emphasizes the importance of sustainable land development. This study aims to use remote sensing data to build a spectral index feature dataset based on Google Earth Engine (GEE) platform, dig deep spectral features of ground objects, and use a random forest (RF) algorithm to extract land use type distribution data in the Bohai Rim region from 2000 to 2020. Meanwhile, combined with a land use transfer map and landscape pattern index, the spatio-temporal pattern of land use was quantitatively analyzed. Finally, the sustainable development level of land was evaluated quantitatively from three aspects: forest resource sustainability, wetland resource sustainability, and land system sustainability. The results show that the overall accuracy and kappa coefficient of land use classification achieved by GEE and the RF algorithm were 0.94 and 0.92, respectively. From 2000 to 2020, the main land use type in the study area was cropland, accounting for 33% of the total, and the impervious has significantly expanded, increasing by 9588.01 km<sup>2</sup>, mainly from cropland, barren, and water. In relation to SDG15, forest resources exhibited poor stability, wetland resources demonstrated a steady recovery, SDG15.3.1 revealed that the problems of land degradation exist in various provinces and cities around the Bohai Sea, and the stability of the land system was poor between 2000 and 2020. This article can provide a valuable reference for land use management and ecological remediation in the Bohai Rim region. |
| first_indexed | 2024-04-24T12:00:26Z |
| format | Article |
| id | doaj.art-0d797fc8382d4e94b55f3e0a5ba7c6e4 |
| institution | Directory Open Access Journal |
| issn | 2151-1535 |
| language | English |
| last_indexed | 2024-04-24T12:00:26Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj.art-0d797fc8382d4e94b55f3e0a5ba7c6e42024-04-08T23:00:18ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352024-01-01177541755310.1109/JSTARS.2024.338058010478142Spatial-Temporal Pattern of Land Use and SDG15 Assessment in the Bohai Rim Region Based on GEE and RF AlgorithmsLina Ke0https://orcid.org/0000-0002-8377-5316Daqi Liu1https://orcid.org/0009-0004-0063-772XQin Tan2https://orcid.org/0009-0009-4473-8174Shuting Wang3https://orcid.org/0009-0005-7772-5434Quanming Wang4https://orcid.org/0009-0004-5714-8310Jun Yang5https://orcid.org/0000-0001-6740-4358School of Geography, Liaoning Normal University, Dalian, ChinaSchool of Geography, Liaoning Normal University, Dalian, ChinaSchool of Geography, Liaoning Normal University, Dalian, ChinaLiaoning Earthquake Agency, Shenyang, ChinaNational Marine Environmental Monitoring Center, Dalian, ChinaJangho Architecture College, Northeastern University, Shenyang, ChinaThe United Nations has proposed Sustainable Development Goal 15 (SDG15), which emphasizes the importance of sustainable land development. This study aims to use remote sensing data to build a spectral index feature dataset based on Google Earth Engine (GEE) platform, dig deep spectral features of ground objects, and use a random forest (RF) algorithm to extract land use type distribution data in the Bohai Rim region from 2000 to 2020. Meanwhile, combined with a land use transfer map and landscape pattern index, the spatio-temporal pattern of land use was quantitatively analyzed. Finally, the sustainable development level of land was evaluated quantitatively from three aspects: forest resource sustainability, wetland resource sustainability, and land system sustainability. The results show that the overall accuracy and kappa coefficient of land use classification achieved by GEE and the RF algorithm were 0.94 and 0.92, respectively. From 2000 to 2020, the main land use type in the study area was cropland, accounting for 33% of the total, and the impervious has significantly expanded, increasing by 9588.01 km<sup>2</sup>, mainly from cropland, barren, and water. In relation to SDG15, forest resources exhibited poor stability, wetland resources demonstrated a steady recovery, SDG15.3.1 revealed that the problems of land degradation exist in various provinces and cities around the Bohai Sea, and the stability of the land system was poor between 2000 and 2020. This article can provide a valuable reference for land use management and ecological remediation in the Bohai Rim region.https://ieeexplore.ieee.org/document/10478142/Bohai rim regionGoogle Earth Engine (GEE)land sustainability assessmentrandom forest (RF) algorithmsustainable development goal 15 (SDG15) |
| spellingShingle | Lina Ke Daqi Liu Qin Tan Shuting Wang Quanming Wang Jun Yang Spatial-Temporal Pattern of Land Use and SDG15 Assessment in the Bohai Rim Region Based on GEE and RF Algorithms IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Bohai rim region Google Earth Engine (GEE) land sustainability assessment random forest (RF) algorithm sustainable development goal 15 (SDG15) |
| title | Spatial-Temporal Pattern of Land Use and SDG15 Assessment in the Bohai Rim Region Based on GEE and RF Algorithms |
| title_full | Spatial-Temporal Pattern of Land Use and SDG15 Assessment in the Bohai Rim Region Based on GEE and RF Algorithms |
| title_fullStr | Spatial-Temporal Pattern of Land Use and SDG15 Assessment in the Bohai Rim Region Based on GEE and RF Algorithms |
| title_full_unstemmed | Spatial-Temporal Pattern of Land Use and SDG15 Assessment in the Bohai Rim Region Based on GEE and RF Algorithms |
| title_short | Spatial-Temporal Pattern of Land Use and SDG15 Assessment in the Bohai Rim Region Based on GEE and RF Algorithms |
| title_sort | spatial temporal pattern of land use and sdg15 assessment in the bohai rim region based on gee and rf algorithms |
| topic | Bohai rim region Google Earth Engine (GEE) land sustainability assessment random forest (RF) algorithm sustainable development goal 15 (SDG15) |
| url | https://ieeexplore.ieee.org/document/10478142/ |
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