Combining TanDEM-X Interferometry and GEDI Space LiDAR for Estimation of Forest Biomass Change in Tanzania
The background for this study is the limitations of the conventional approach of using deforestation area multiplied by biomass densities or emission factors. We demonstrated how TanDEM-X and GEDI data can be combined to estimate forest Above Ground Biomass (AGB) change at the national scale for Tan...
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MDPI AG
2025-07-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/17/15/2623 |
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| author | Svein Solberg Belachew Gizachew Laura Innice Duncanson Paromita Basak |
| author_facet | Svein Solberg Belachew Gizachew Laura Innice Duncanson Paromita Basak |
| author_sort | Svein Solberg |
| collection | DOAJ |
| description | The background for this study is the limitations of the conventional approach of using deforestation area multiplied by biomass densities or emission factors. We demonstrated how TanDEM-X and GEDI data can be combined to estimate forest Above Ground Biomass (AGB) change at the national scale for Tanzania. The results can be further recalculated to estimate CO<sub>2</sub> emissions and removals from the forest. We used repeated short wavelength, InSAR DEMs from TanDEM-X to derive changes in forest canopy height and combined this with GEDI data to convert such height changes to AGB changes. We estimated AGB change during 2012–2019 to be −2.96 ± 2.44 MT per year. This result cannot be validated, because the true value is unknown. However, we corroborated the results by comparing with other approaches, other datasets, and the results of other studies. In conclusion, TanDEM-X and GEDI can be combined to derive reliable temporal change in AGB at large scales such as a country. An important advantage of the method is that it is not required to have a representative field inventory plot network nor a full coverage DTM. A limitation for applying this method now is the lack of frequent and systematic InSAR elevation data. |
| format | Article |
| id | doaj-art-177d96f10e684bfe96166b6289430c86 |
| institution | Kabale University |
| issn | 2072-4292 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | MDPI AG |
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| series | Remote Sensing |
| spelling | doaj-art-177d96f10e684bfe96166b6289430c862025-08-20T03:36:22ZengMDPI AGRemote Sensing2072-42922025-07-011715262310.3390/rs17152623Combining TanDEM-X Interferometry and GEDI Space LiDAR for Estimation of Forest Biomass Change in TanzaniaSvein Solberg0Belachew Gizachew1Laura Innice Duncanson2Paromita Basak3Norwegian Institute of Bioeconomy Research (NIBIO), Pb 115, 1431 Ås, NorwayNorwegian Institute of Bioeconomy Research (NIBIO), Pb 115, 1431 Ås, NorwayDepartment of Geographical Sciences, University of Maryland College Park, College Park, MD 20742, USADepartment of Geographical Sciences, University of Maryland College Park, College Park, MD 20742, USAThe background for this study is the limitations of the conventional approach of using deforestation area multiplied by biomass densities or emission factors. We demonstrated how TanDEM-X and GEDI data can be combined to estimate forest Above Ground Biomass (AGB) change at the national scale for Tanzania. The results can be further recalculated to estimate CO<sub>2</sub> emissions and removals from the forest. We used repeated short wavelength, InSAR DEMs from TanDEM-X to derive changes in forest canopy height and combined this with GEDI data to convert such height changes to AGB changes. We estimated AGB change during 2012–2019 to be −2.96 ± 2.44 MT per year. This result cannot be validated, because the true value is unknown. However, we corroborated the results by comparing with other approaches, other datasets, and the results of other studies. In conclusion, TanDEM-X and GEDI can be combined to derive reliable temporal change in AGB at large scales such as a country. An important advantage of the method is that it is not required to have a representative field inventory plot network nor a full coverage DTM. A limitation for applying this method now is the lack of frequent and systematic InSAR elevation data.https://www.mdpi.com/2072-4292/17/15/2623InSARTanDEM-XDEMGEDIlidartemporal change |
| spellingShingle | Svein Solberg Belachew Gizachew Laura Innice Duncanson Paromita Basak Combining TanDEM-X Interferometry and GEDI Space LiDAR for Estimation of Forest Biomass Change in Tanzania Remote Sensing InSAR TanDEM-X DEM GEDI lidar temporal change |
| title | Combining TanDEM-X Interferometry and GEDI Space LiDAR for Estimation of Forest Biomass Change in Tanzania |
| title_full | Combining TanDEM-X Interferometry and GEDI Space LiDAR for Estimation of Forest Biomass Change in Tanzania |
| title_fullStr | Combining TanDEM-X Interferometry and GEDI Space LiDAR for Estimation of Forest Biomass Change in Tanzania |
| title_full_unstemmed | Combining TanDEM-X Interferometry and GEDI Space LiDAR for Estimation of Forest Biomass Change in Tanzania |
| title_short | Combining TanDEM-X Interferometry and GEDI Space LiDAR for Estimation of Forest Biomass Change in Tanzania |
| title_sort | combining tandem x interferometry and gedi space lidar for estimation of forest biomass change in tanzania |
| topic | InSAR TanDEM-X DEM GEDI lidar temporal change |
| url | https://www.mdpi.com/2072-4292/17/15/2623 |
| work_keys_str_mv | AT sveinsolberg combiningtandemxinterferometryandgedispacelidarforestimationofforestbiomasschangeintanzania AT belachewgizachew combiningtandemxinterferometryandgedispacelidarforestimationofforestbiomasschangeintanzania AT laurainniceduncanson combiningtandemxinterferometryandgedispacelidarforestimationofforestbiomasschangeintanzania AT paromitabasak combiningtandemxinterferometryandgedispacelidarforestimationofforestbiomasschangeintanzania |