Articles | Volume 9, issue 5
https://doi.org/10.5194/tc-9-1747-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/tc-9-1747-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
04 Sep 2015
Research article |
| 04 Sep 2015
Improving semi-automated glacier mapping with a multi-method approach: applications in central Asia
Institute for Earth and Environmental Sciences, Universität Potsdam, Potsdam, Germany
B. Bookhagen
Institute for Earth and Environmental Sciences, Universität Potsdam, Potsdam, Germany
F. Cannon
Geography Department, University of California, Santa Barbara, USA
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Cited
17 citations as recorded by crossref.
- Changing regimes of gangotri and surrounding glaciers: A case study of Garhwal Himalaya, India P. Rai et al. 10.1016/j.rsase.2016.02.001
- GlacierNet: A Deep-Learning Approach for Debris-Covered Glacier Mapping Z. Xie et al. 10.1109/ACCESS.2020.2991187
- Linking Mountain Glacier Retreat and Hydrological Changes in Southwestern Yukon A. Chesnokova et al. 10.1029/2019WR025706
- Rapid glacial retreat on the Kamchatka Peninsula during the early 21st century C. Lynch et al. 10.5194/tc-10-1809-2016
- Monitoring of Historical Glacier Recession in Yulong Mountain by the Integration of Multisource Remote Sensing Data L. Yue et al. 10.1109/JSTARS.2017.2776901
- Regional Glacier Mapping Using Optical Satellite Data Time Series S. Winsvold et al. 10.1109/JSTARS.2016.2527063
- Retreat rates of debris-covered and debris-free glaciers in the Koshi River Basin, central Himalayas, from 1975 to 2010 Y. Xiang et al. 10.1007/s12665-018-7457-8
- Decadal Scale Changes in Glacier Area in the Hohe Tauern National Park (Austria) Determined by Object-Based Image Analysis B. Robson et al. 10.3390/rs8010067
- Automatic delineation of debris-covered glaciers using InSAR coherence derived from X-, C- and L-band radar data: a case study of Yazgyl Glacier S. LIPPL et al. 10.1017/jog.2018.70
- Evaluating deep-learning models for debris-covered glacier mapping Z. Xie et al. 10.1016/j.acags.2021.100071
- An automatic method for clean glacier and nonseasonal snow area change estimation in High Mountain Asia from 1990 to 2018 L. Huang et al. 10.1016/j.rse.2021.112376
- Glacier surface characteristics derivation and monitoring using Hyperspectral datasets: a case study of Gepang Gath glacier, Western Himalaya A. Gore et al. 10.1080/10106049.2017.1357766
- Surface composition of debris-covered glaciers across the Himalaya using linear spectral unmixing of Landsat 8 OLI imagery A. Racoviteanu et al. 10.5194/tc-15-4557-2021
- New evidence of glacier surges in the Central Andes of Argentina and Chile D. Falaschi et al. 10.1177/0309133318803014
- Retreat of Machoi Glacier, Kashmir Himalaya between 1972 and 2019 using remote sensing methods and field observations I. Rashid et al. 10.1016/j.scitotenv.2021.147376
- Integration of optical, SAR and DEM data for automated detection of debris-covered glaciers over the western Nyainqentanglha using a random forest classifier Y. Lu et al. 10.1016/j.coldregions.2021.103421
- Glacier Ice Thickness Estimation and Future Lake Formation in Swiss Southwestern Alps—The Upper Rhône Catchment: A VOLTA Application S. Gharehchahi et al. 10.3390/rs12203443
17 citations as recorded by crossref.
- Changing regimes of gangotri and surrounding glaciers: A case study of Garhwal Himalaya, India P. Rai et al. 10.1016/j.rsase.2016.02.001
- GlacierNet: A Deep-Learning Approach for Debris-Covered Glacier Mapping Z. Xie et al. 10.1109/ACCESS.2020.2991187
- Linking Mountain Glacier Retreat and Hydrological Changes in Southwestern Yukon A. Chesnokova et al. 10.1029/2019WR025706
- Rapid glacial retreat on the Kamchatka Peninsula during the early 21st century C. Lynch et al. 10.5194/tc-10-1809-2016
- Monitoring of Historical Glacier Recession in Yulong Mountain by the Integration of Multisource Remote Sensing Data L. Yue et al. 10.1109/JSTARS.2017.2776901
- Regional Glacier Mapping Using Optical Satellite Data Time Series S. Winsvold et al. 10.1109/JSTARS.2016.2527063
- Retreat rates of debris-covered and debris-free glaciers in the Koshi River Basin, central Himalayas, from 1975 to 2010 Y. Xiang et al. 10.1007/s12665-018-7457-8
- Decadal Scale Changes in Glacier Area in the Hohe Tauern National Park (Austria) Determined by Object-Based Image Analysis B. Robson et al. 10.3390/rs8010067
- Automatic delineation of debris-covered glaciers using InSAR coherence derived from X-, C- and L-band radar data: a case study of Yazgyl Glacier S. LIPPL et al. 10.1017/jog.2018.70
- Evaluating deep-learning models for debris-covered glacier mapping Z. Xie et al. 10.1016/j.acags.2021.100071
- An automatic method for clean glacier and nonseasonal snow area change estimation in High Mountain Asia from 1990 to 2018 L. Huang et al. 10.1016/j.rse.2021.112376
- Glacier surface characteristics derivation and monitoring using Hyperspectral datasets: a case study of Gepang Gath glacier, Western Himalaya A. Gore et al. 10.1080/10106049.2017.1357766
- Surface composition of debris-covered glaciers across the Himalaya using linear spectral unmixing of Landsat 8 OLI imagery A. Racoviteanu et al. 10.5194/tc-15-4557-2021
- New evidence of glacier surges in the Central Andes of Argentina and Chile D. Falaschi et al. 10.1177/0309133318803014
- Retreat of Machoi Glacier, Kashmir Himalaya between 1972 and 2019 using remote sensing methods and field observations I. Rashid et al. 10.1016/j.scitotenv.2021.147376
- Integration of optical, SAR and DEM data for automated detection of debris-covered glaciers over the western Nyainqentanglha using a random forest classifier Y. Lu et al. 10.1016/j.coldregions.2021.103421
- Glacier Ice Thickness Estimation and Future Lake Formation in Swiss Southwestern Alps—The Upper Rhône Catchment: A VOLTA Application S. Gharehchahi et al. 10.3390/rs12203443
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Latest update: 19 Mar 2023
Short summary
We describe and apply a newly developed glacial mapping algorithm which uses spectral, topographic, velocity, and spatial data to quickly and accurately map glacial extents over a wide area. This method maps both clean glacier ice and debris-covered glacier tongues across diverse topographic, land cover, and spectral settings using primarily open-source tools.
We describe and apply a newly developed glacial mapping algorithm which uses spectral,...
