Articles | Volume 2, issue 2
https://doi.org/10.5194/esurf-2-403-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/esurf-2-403-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
A geomorphology-based approach for digital elevation model fusion – case study in Danang city, Vietnam
T. A. Tran
Graduate School for Creative Cities, Osaka City University, Osaka, Japan
V. Raghavan
Graduate School for Creative Cities, Osaka City University, Osaka, Japan
S. Masumoto
Graduate School of Science, Osaka City University, Osaka, Japan
P. Vinayaraj
Graduate School for Creative Cities, Osaka City University, Osaka, Japan
G. Yonezawa
Graduate School for Creative Cities, Osaka City University, Osaka, Japan
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- Mekong delta much lower than previously assumed in sea-level rise impact assessments P. Minderhoud et al. 10.1038/s41467-019-11602-1
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- Exposure of manufacturing firms to future sea level rise in Ho Chi Minh City, Vietnam R. Leitold & J. Diez 10.1080/17445647.2018.1548385
- Neural Network-Based Fusion of InSAR and Optical Digital Elevation Models with Consideration of Local Terrain Features R. Gui et al. 10.3390/rs16193567
- Fusion of public DEMs based on sparse representation and adaptive regularization variation model L. Guan et al. 10.1016/j.isprsjprs.2020.09.005
- A method for combining SRTM DEM and ASTER GDEM2 to improve topography estimation in regions without reference data H. Pham et al. 10.1016/j.rse.2018.03.026
- A systematic review and meta-analysis of Digital elevation model (DEM) fusion: pre-processing, methods and applications C. Okolie & J. Smit 10.1016/j.isprsjprs.2022.03.016
- A new strategy combined HASM and classical interpolation methods for DEM construction in areas without sufficient terrain data J. Wang et al. 10.1007/s11629-020-6655-5
- Improving ASTER GDEM Accuracy Using Land Use-Based Linear Regression Methods: A Case Study of Lianyungang, East China X. Yang et al. 10.3390/ijgi7040145
- A Multi-Scale Mapping Approach Based on a Deep Learning CNN Model for Reconstructing High-Resolution Urban DEMs L. Jiang et al. 10.3390/w12051369
- Global Digital Elevation Model Comparison Criteria: An Evident Need to Consider Their Application C. López-Vázquez & F. Ariza-López 10.3390/ijgi12080337
- Improvement of Digital Elevation Model (DEM) using data fusion technique for oil palm replanting phase N. Muhadi et al. 10.1080/19479832.2018.1504826
- A GIS-based Approach for Flood Vulnerability Assessment in Hoa Vang District, Danang City, Vietnam T. An et al. 10.1088/1755-1315/652/1/012003
- Enhancing digital elevation models for hydraulic modelling using flood frequency detection G. Ettritch et al. 10.1016/j.rse.2018.08.029
- Fusion Scheme and Implementation Based on SRTM1, ASTER GDEM V3, and AW3D30 S. Zhao et al. 10.3390/ijgi11030207
- A consistent glacier inventory for Karakoram and Pamir derived from Landsat data: distribution of debris cover and mapping challenges N. Mölg et al. 10.5194/essd-10-1807-2018
- Fusing Digital Elevation Models to Improve Hydrological Interpretations S. Furze et al. 10.4236/jgis.2017.95035
- Rapid enhanced-DEM using Google Earth Engine, machine learning, weighted and spatial interpolation techniques W. Kandil et al. 10.1108/WJE-05-2024-0315
- Dynamics of Lahar Material Deposition Post 2014 Kelud Eruption of Bladak River S. Bachri et al. 10.1088/1755-1315/256/1/012021
- Fusion of high-resolution DEMs for water flow modeling A. Petrasova et al. 10.1186/s40965-017-0019-2
18 citations as recorded by crossref.
- Mekong delta much lower than previously assumed in sea-level rise impact assessments P. Minderhoud et al. 10.1038/s41467-019-11602-1
- Comparison of ASTER GDEM3, SRTM3, NASADEM, TanDEM-X90, AW3D30, and ALOS PALSAR data with TanDEM-X12: a case study of Tagragra of Akka inlier, Moroccan Anti-Atlas Z. Adiri et al. 10.1007/s12517-022-10885-x
- Exposure of manufacturing firms to future sea level rise in Ho Chi Minh City, Vietnam R. Leitold & J. Diez 10.1080/17445647.2018.1548385
- Neural Network-Based Fusion of InSAR and Optical Digital Elevation Models with Consideration of Local Terrain Features R. Gui et al. 10.3390/rs16193567
- Fusion of public DEMs based on sparse representation and adaptive regularization variation model L. Guan et al. 10.1016/j.isprsjprs.2020.09.005
- A method for combining SRTM DEM and ASTER GDEM2 to improve topography estimation in regions without reference data H. Pham et al. 10.1016/j.rse.2018.03.026
- A systematic review and meta-analysis of Digital elevation model (DEM) fusion: pre-processing, methods and applications C. Okolie & J. Smit 10.1016/j.isprsjprs.2022.03.016
- A new strategy combined HASM and classical interpolation methods for DEM construction in areas without sufficient terrain data J. Wang et al. 10.1007/s11629-020-6655-5
- Improving ASTER GDEM Accuracy Using Land Use-Based Linear Regression Methods: A Case Study of Lianyungang, East China X. Yang et al. 10.3390/ijgi7040145
- A Multi-Scale Mapping Approach Based on a Deep Learning CNN Model for Reconstructing High-Resolution Urban DEMs L. Jiang et al. 10.3390/w12051369
- Global Digital Elevation Model Comparison Criteria: An Evident Need to Consider Their Application C. López-Vázquez & F. Ariza-López 10.3390/ijgi12080337
- Improvement of Digital Elevation Model (DEM) using data fusion technique for oil palm replanting phase N. Muhadi et al. 10.1080/19479832.2018.1504826
- A GIS-based Approach for Flood Vulnerability Assessment in Hoa Vang District, Danang City, Vietnam T. An et al. 10.1088/1755-1315/652/1/012003
- Enhancing digital elevation models for hydraulic modelling using flood frequency detection G. Ettritch et al. 10.1016/j.rse.2018.08.029
- Fusion Scheme and Implementation Based on SRTM1, ASTER GDEM V3, and AW3D30 S. Zhao et al. 10.3390/ijgi11030207
- A consistent glacier inventory for Karakoram and Pamir derived from Landsat data: distribution of debris cover and mapping challenges N. Mölg et al. 10.5194/essd-10-1807-2018
- Fusing Digital Elevation Models to Improve Hydrological Interpretations S. Furze et al. 10.4236/jgis.2017.95035
- Rapid enhanced-DEM using Google Earth Engine, machine learning, weighted and spatial interpolation techniques W. Kandil et al. 10.1108/WJE-05-2024-0315
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