A regional-level spatiotemporal perspective of land use and land cover change impact on forest aboveground biomass in three gorges reservoir region, China
This study used multi-platform remote sensing datasets to assess the impacts of land use and land cover (LULC) change on forest biomass density across the Three Gorges Reservoir (TGR) region along the Yangtze River. This study maps land use and land cover (LULC) change and forest aboveground biomass...
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Taylor & Francis Group
2024-01-01
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| Series: | Geocarto International |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/10106049.2024.2397468 |
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| author | Muhammad Nouman Khan Yumin Tan Ahmad Ali Gul Muhammad Kamran Lodhi Jiale Wang |
| author_facet | Muhammad Nouman Khan Yumin Tan Ahmad Ali Gul Muhammad Kamran Lodhi Jiale Wang |
| author_sort | Muhammad Nouman Khan |
| collection | DOAJ |
| description | This study used multi-platform remote sensing datasets to assess the impacts of land use and land cover (LULC) change on forest biomass density across the Three Gorges Reservoir (TGR) region along the Yangtze River. This study maps land use and land cover (LULC) change and forest aboveground biomass estimation (AGB) using Sentinel-2A and GEDI-L4B data based on observations between 2019 and 2022. The data analysis results of monitoring revealed a strong association frequency between land-use change and forest land cover since the significant relationship with forest aboveground biomass density has also been explored. The total deforestation decreased significantly in 2022. The accuracy assessment results show a classification accuracy of between 90.4% and 94.1%, with a kappa coefficient of 82.4%–92.1%. For the TGR region forest, the minimum to maximum mean above-ground biomass values are from 15.81 to 373.66 Mgha-1, respectively. Moreover, the fitting performance of the statistical analysis of aboveground biomass density of forest mean for the forest was quite decent with training (R2: 0.92, RMSE: 12.30 Mg/ha) and testing (R2: 0.79, RMSE: 18.07 Mg/ha) datasets. The results highlight LULC change impacts, particularly forest land class over forest AGB stands, and the effectiveness of the GEDI-L4B product in regional biomass estimation in the TGR region. |
| format | Article |
| id | doaj-art-9c5849edb2964e038e004f3f92c36190 |
| institution | Kabale University |
| issn | 1010-6049 1752-0762 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Geocarto International |
| spelling | doaj-art-9c5849edb2964e038e004f3f92c361902024-12-10T08:23:09ZengTaylor & Francis GroupGeocarto International1010-60491752-07622024-01-0139110.1080/10106049.2024.2397468A regional-level spatiotemporal perspective of land use and land cover change impact on forest aboveground biomass in three gorges reservoir region, ChinaMuhammad Nouman Khan0Yumin Tan1Ahmad Ali Gul2Muhammad Kamran Lodhi3Jiale Wang4Hangzhou International Innovation Institute, Beihang University, Hangzhou, ChinaHangzhou International Innovation Institute, Beihang University, Hangzhou, ChinaCenter for Disaster Management, School of Governance and Society, University of Management and Technology, Lahore, PakistanHangzhou International Innovation Institute, Beihang University, Hangzhou, ChinaHangzhou International Innovation Institute, Beihang University, Hangzhou, ChinaThis study used multi-platform remote sensing datasets to assess the impacts of land use and land cover (LULC) change on forest biomass density across the Three Gorges Reservoir (TGR) region along the Yangtze River. This study maps land use and land cover (LULC) change and forest aboveground biomass estimation (AGB) using Sentinel-2A and GEDI-L4B data based on observations between 2019 and 2022. The data analysis results of monitoring revealed a strong association frequency between land-use change and forest land cover since the significant relationship with forest aboveground biomass density has also been explored. The total deforestation decreased significantly in 2022. The accuracy assessment results show a classification accuracy of between 90.4% and 94.1%, with a kappa coefficient of 82.4%–92.1%. For the TGR region forest, the minimum to maximum mean above-ground biomass values are from 15.81 to 373.66 Mgha-1, respectively. Moreover, the fitting performance of the statistical analysis of aboveground biomass density of forest mean for the forest was quite decent with training (R2: 0.92, RMSE: 12.30 Mg/ha) and testing (R2: 0.79, RMSE: 18.07 Mg/ha) datasets. The results highlight LULC change impacts, particularly forest land class over forest AGB stands, and the effectiveness of the GEDI-L4B product in regional biomass estimation in the TGR region.https://www.tandfonline.com/doi/10.1080/10106049.2024.2397468Forest above ground biomassSentinel-2AGEDI-L4Bland cover changethree gorges reservoir |
| spellingShingle | Muhammad Nouman Khan Yumin Tan Ahmad Ali Gul Muhammad Kamran Lodhi Jiale Wang A regional-level spatiotemporal perspective of land use and land cover change impact on forest aboveground biomass in three gorges reservoir region, China Geocarto International Forest above ground biomass Sentinel-2A GEDI-L4B land cover change three gorges reservoir |
| title | A regional-level spatiotemporal perspective of land use and land cover change impact on forest aboveground biomass in three gorges reservoir region, China |
| title_full | A regional-level spatiotemporal perspective of land use and land cover change impact on forest aboveground biomass in three gorges reservoir region, China |
| title_fullStr | A regional-level spatiotemporal perspective of land use and land cover change impact on forest aboveground biomass in three gorges reservoir region, China |
| title_full_unstemmed | A regional-level spatiotemporal perspective of land use and land cover change impact on forest aboveground biomass in three gorges reservoir region, China |
| title_short | A regional-level spatiotemporal perspective of land use and land cover change impact on forest aboveground biomass in three gorges reservoir region, China |
| title_sort | regional level spatiotemporal perspective of land use and land cover change impact on forest aboveground biomass in three gorges reservoir region china |
| topic | Forest above ground biomass Sentinel-2A GEDI-L4B land cover change three gorges reservoir |
| url | https://www.tandfonline.com/doi/10.1080/10106049.2024.2397468 |
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