Preliminary Study on the Use of Digital Surface Models for Estimating Vegetation Cover Density in a Mountainous Area
Digital surface model (DSM) has been widely available for mapping and was also sometimes used for mapping vegetation height. The authors conducted a preliminary study to evaluate the potential use of DSMs derived from ASTER, ALOS, and SRTM for estimating vegetation cover density in mountainous area....
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Gadjah Mada University
2022
|
| Subjects: | |
| Online Access: | https://repository.ugm.ac.id/283678/1/60659-283889-5-PB.pdf |
| _version_ | 1797037719342284800 |
|---|---|
| author | Danoedoro, Projo Gupita, Diwyacitta Dirda Afwani, Muhammad Zayyanul Hadi, Haeydar Anggara Mahendra, William Krista |
| author_facet | Danoedoro, Projo Gupita, Diwyacitta Dirda Afwani, Muhammad Zayyanul Hadi, Haeydar Anggara Mahendra, William Krista |
| author_sort | Danoedoro, Projo |
| collection | UGM |
| description | Digital surface model (DSM) has been widely available for mapping and was also sometimes used for mapping vegetation height. The authors conducted a preliminary study to evaluate the potential use of DSMs derived from ASTER, ALOS, and SRTM for estimating vegetation cover density in mountainous area. This study used NDVI and SAVI vegetation indices, in addition to forest cover density (FCD) model as references for evaluation. A DSM-based volume index (Volindex) concept is introduced, which is the product of the canopy height model (CHM) and the pixel area. CHM was derived from the value difference between the DSM and the reference DEM. The Volindex model was then compared with the NDVI, SAVI and FCD. We found that all DSM-based Volindex models are not accurate enough to represent the vegetation cover density, although the ALOS Palsar-based Volindex could reach 41.53 accuracy and was finally used to predict the vegetation cover density. © 2022 Faculty of Geography UGM and The Indonesian Geographers Association © 2022 by the authors. Licensee Indonesian Journal of Geography, Indonesia. |
| first_indexed | 2024-03-14T00:08:14Z |
| format | Article |
| id | oai:generic.eprints.org:283678 |
| institution | Universiti Gadjah Mada |
| language | English |
| last_indexed | 2024-03-14T00:08:14Z |
| publishDate | 2022 |
| publisher | Gadjah Mada University |
| record_format | dspace |
| spelling | oai:generic.eprints.org:2836782023-11-22T00:56:49Z https://repository.ugm.ac.id/283678/ Preliminary Study on the Use of Digital Surface Models for Estimating Vegetation Cover Density in a Mountainous Area Danoedoro, Projo Gupita, Diwyacitta Dirda Afwani, Muhammad Zayyanul Hadi, Haeydar Anggara Mahendra, William Krista Geography and Environmental Sciences Digital surface model (DSM) has been widely available for mapping and was also sometimes used for mapping vegetation height. The authors conducted a preliminary study to evaluate the potential use of DSMs derived from ASTER, ALOS, and SRTM for estimating vegetation cover density in mountainous area. This study used NDVI and SAVI vegetation indices, in addition to forest cover density (FCD) model as references for evaluation. A DSM-based volume index (Volindex) concept is introduced, which is the product of the canopy height model (CHM) and the pixel area. CHM was derived from the value difference between the DSM and the reference DEM. The Volindex model was then compared with the NDVI, SAVI and FCD. We found that all DSM-based Volindex models are not accurate enough to represent the vegetation cover density, although the ALOS Palsar-based Volindex could reach 41.53 accuracy and was finally used to predict the vegetation cover density. © 2022 Faculty of Geography UGM and The Indonesian Geographers Association © 2022 by the authors. Licensee Indonesian Journal of Geography, Indonesia. Gadjah Mada University 2022 Article PeerReviewed application/pdf en https://repository.ugm.ac.id/283678/1/60659-283889-5-PB.pdf Danoedoro, Projo and Gupita, Diwyacitta Dirda and Afwani, Muhammad Zayyanul and Hadi, Haeydar Anggara and Mahendra, William Krista (2022) Preliminary Study on the Use of Digital Surface Models for Estimating Vegetation Cover Density in a Mountainous Area. Indonesian Journal of Geography, 54 (3). 333 -342. https://journal.ugm.ac.id/ijg/article/view/60659 10.22146/IJG.60659 |
| spellingShingle | Geography and Environmental Sciences Danoedoro, Projo Gupita, Diwyacitta Dirda Afwani, Muhammad Zayyanul Hadi, Haeydar Anggara Mahendra, William Krista Preliminary Study on the Use of Digital Surface Models for Estimating Vegetation Cover Density in a Mountainous Area |
| title | Preliminary Study on the Use of Digital Surface Models for Estimating Vegetation Cover Density in a Mountainous Area |
| title_full | Preliminary Study on the Use of Digital Surface Models for Estimating Vegetation Cover Density in a Mountainous Area |
| title_fullStr | Preliminary Study on the Use of Digital Surface Models for Estimating Vegetation Cover Density in a Mountainous Area |
| title_full_unstemmed | Preliminary Study on the Use of Digital Surface Models for Estimating Vegetation Cover Density in a Mountainous Area |
| title_short | Preliminary Study on the Use of Digital Surface Models for Estimating Vegetation Cover Density in a Mountainous Area |
| title_sort | preliminary study on the use of digital surface models for estimating vegetation cover density in a mountainous area |
| topic | Geography and Environmental Sciences |
| url | https://repository.ugm.ac.id/283678/1/60659-283889-5-PB.pdf |
| work_keys_str_mv | AT danoedoroprojo preliminarystudyontheuseofdigitalsurfacemodelsforestimatingvegetationcoverdensityinamountainousarea AT gupitadiwyacittadirda preliminarystudyontheuseofdigitalsurfacemodelsforestimatingvegetationcoverdensityinamountainousarea AT afwanimuhammadzayyanul preliminarystudyontheuseofdigitalsurfacemodelsforestimatingvegetationcoverdensityinamountainousarea AT hadihaeydaranggara preliminarystudyontheuseofdigitalsurfacemodelsforestimatingvegetationcoverdensityinamountainousarea AT mahendrawilliamkrista preliminarystudyontheuseofdigitalsurfacemodelsforestimatingvegetationcoverdensityinamountainousarea |