The Estimation of Forest Stand Above Ground Biomass in the district of Borobudur, Central Java, Indonesia
The vulnerability of the forest stand area in Borobudur District to tourism activities and land cover change causes high greenhouse gas emissions. Forest stand has the potential for higher carbon storage compared to other land covers. The existence of this forest stand area plays a vital role in mit...
| Principais autores: | , , , , , , , |
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| Formato: | Conference or Workshop Item |
| Publicado em: |
Asian Association on Remote Sensing
2022
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| Assuntos: |
| _version_ | 1826050524847276032 |
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| author | Munawaroh, Munawaroh Salsabila, Huwaida Nur Yogyanti, Galih Citra Astuti, Nurul Widayani, Prima Danoedoro, Projo Murti, Sigit Heru Wicaksono, Pramaditya |
| author_facet | Munawaroh, Munawaroh Salsabila, Huwaida Nur Yogyanti, Galih Citra Astuti, Nurul Widayani, Prima Danoedoro, Projo Murti, Sigit Heru Wicaksono, Pramaditya |
| author_sort | Munawaroh, Munawaroh |
| collection | UGM |
| description | The vulnerability of the forest stand area in Borobudur District to tourism activities and land cover change causes high greenhouse gas emissions. Forest stand has the potential for higher carbon storage compared to other land covers. The existence of this forest stand area plays a vital role in mitigating the reduction of greenhouse gas emissions. Biomass as an instrument for assessing the level of greenhouse gas emissions can be measured using several approaches, including remote sensing and spatial models. This study aimed to determine the spatial distribution of above-ground biomass with a vegetation index approach and allometric method in Borobudur District. The result shows that ARVI and GEMI have lower standard errors because this study only considers one biophysical aspect, diameter at breast height (DBH). The assumption is that both indices can suppress the influence of the atmosphere well. Other vegetation indices such as NDVI and EVI are more sensitive to vegetation abundance so the biophysical aspects considered are not only DBH but also canopy density. Meanwhile, SAVI also has a SE value that is not too high compared to other indices. This is because some samples show subsurface cover in the form of bare soil or litter so that SAVI can suppress the influence of the background well. EVI, which can suppress the influence of soil and atmospheric background, has a fairly good ability. Its shows that the index's sensitivity to vegetation abundance for biomass mapping cannot depend on one variable alone. This is also caused by vegetation cover factors on the ground surface, such as shrubs and herbs, contributing to the spectral response. The estimation results show that the total biomass of forest in the Borobudur District ranges from 0.002 tons/Ha to 11.89 tons/Ha and is primarily distributed in hilly areas. © 43rd Asian Conference on Remote Sensing, ACRS 2022. |
| first_indexed | 2024-03-14T00:05:21Z |
| format | Conference or Workshop Item |
| id | oai:generic.eprints.org:282295 |
| institution | Universiti Gadjah Mada |
| last_indexed | 2024-03-14T00:05:21Z |
| publishDate | 2022 |
| publisher | Asian Association on Remote Sensing |
| record_format | dspace |
| spelling | oai:generic.eprints.org:2822952023-11-16T02:21:32Z https://repository.ugm.ac.id/282295/ The Estimation of Forest Stand Above Ground Biomass in the district of Borobudur, Central Java, Indonesia Munawaroh, Munawaroh Salsabila, Huwaida Nur Yogyanti, Galih Citra Astuti, Nurul Widayani, Prima Danoedoro, Projo Murti, Sigit Heru Wicaksono, Pramaditya Cartography Photogrammetry and Remote Sensing The vulnerability of the forest stand area in Borobudur District to tourism activities and land cover change causes high greenhouse gas emissions. Forest stand has the potential for higher carbon storage compared to other land covers. The existence of this forest stand area plays a vital role in mitigating the reduction of greenhouse gas emissions. Biomass as an instrument for assessing the level of greenhouse gas emissions can be measured using several approaches, including remote sensing and spatial models. This study aimed to determine the spatial distribution of above-ground biomass with a vegetation index approach and allometric method in Borobudur District. The result shows that ARVI and GEMI have lower standard errors because this study only considers one biophysical aspect, diameter at breast height (DBH). The assumption is that both indices can suppress the influence of the atmosphere well. Other vegetation indices such as NDVI and EVI are more sensitive to vegetation abundance so the biophysical aspects considered are not only DBH but also canopy density. Meanwhile, SAVI also has a SE value that is not too high compared to other indices. This is because some samples show subsurface cover in the form of bare soil or litter so that SAVI can suppress the influence of the background well. EVI, which can suppress the influence of soil and atmospheric background, has a fairly good ability. Its shows that the index's sensitivity to vegetation abundance for biomass mapping cannot depend on one variable alone. This is also caused by vegetation cover factors on the ground surface, such as shrubs and herbs, contributing to the spectral response. The estimation results show that the total biomass of forest in the Borobudur District ranges from 0.002 tons/Ha to 11.89 tons/Ha and is primarily distributed in hilly areas. © 43rd Asian Conference on Remote Sensing, ACRS 2022. Asian Association on Remote Sensing 2022 Conference or Workshop Item PeerReviewed Munawaroh, Munawaroh and Salsabila, Huwaida Nur and Yogyanti, Galih Citra and Astuti, Nurul and Widayani, Prima and Danoedoro, Projo and Murti, Sigit Heru and Wicaksono, Pramaditya (2022) The Estimation of Forest Stand Above Ground Biomass in the district of Borobudur, Central Java, Indonesia. In: 43rd Asian Conference on Remote Sensing, ACRS 2022. |
| spellingShingle | Cartography Photogrammetry and Remote Sensing Munawaroh, Munawaroh Salsabila, Huwaida Nur Yogyanti, Galih Citra Astuti, Nurul Widayani, Prima Danoedoro, Projo Murti, Sigit Heru Wicaksono, Pramaditya The Estimation of Forest Stand Above Ground Biomass in the district of Borobudur, Central Java, Indonesia |
| title | The Estimation of Forest Stand Above Ground Biomass in the district of Borobudur, Central Java, Indonesia |
| title_full | The Estimation of Forest Stand Above Ground Biomass in the district of Borobudur, Central Java, Indonesia |
| title_fullStr | The Estimation of Forest Stand Above Ground Biomass in the district of Borobudur, Central Java, Indonesia |
| title_full_unstemmed | The Estimation of Forest Stand Above Ground Biomass in the district of Borobudur, Central Java, Indonesia |
| title_short | The Estimation of Forest Stand Above Ground Biomass in the district of Borobudur, Central Java, Indonesia |
| title_sort | estimation of forest stand above ground biomass in the district of borobudur central java indonesia |
| topic | Cartography Photogrammetry and Remote Sensing |
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