Articles | Volume 15, issue 9
https://doi.org/10.5194/tc-15-4261-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-15-4261-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
07 Sep 2021
Research article |
| 07 Sep 2021
| 07 Sep 2021
Evaluation of snow extent time series derived from Advanced Very High Resolution Radiometer global area coverage data (1982–2018) in the Hindu Kush Himalayas
College of Earth and Environmental Sciences, Lanzhou University,
Lanzhou 730000, China
Institute of Geography and Oeschger Center for Climate Change
Research, University of Bern, Hallerstrasse 12, 3012 Bern, Switzerland
Kathrin Naegeli
Institute of Geography and Oeschger Center for Climate Change
Research, University of Bern, Hallerstrasse 12, 3012 Bern, Switzerland
Valentina Premier
EURAC Research, 39100 Bolzano, Italy
Carlo Marin
EURAC Research, 39100 Bolzano, Italy
Dujuan Ma
College of Earth and Environmental Sciences, Lanzhou University,
Lanzhou 730000, China
Jingping Wang
College of Earth and Environmental Sciences, Lanzhou University,
Lanzhou 730000, China
Stefan Wunderle
Institute of Geography and Oeschger Center for Climate Change
Research, University of Bern, Hallerstrasse 12, 3012 Bern, Switzerland
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Cited
13 citations as recorded by crossref.
- Development and validation of a new MODIS snow-cover-extent product over China X. Hao et al. 10.5194/hess-26-1937-2022
- Comparison of Three Different Random Forest Approaches to Retrieve Daily High-Resolution Snow Cover Maps from MODIS and Sentinel-2 in a Mountain Area, Gran Paradiso National Park (NW Alps) C. Richiardi et al. 10.3390/rs15020343
- Retrieval of Fractional Snow Cover over High Mountain Asia Using 1 km and 5 km AVHRR/2 with Simulated Mid-Infrared Reflective Band F. Pan et al. 10.3390/rs14143303
- Snow Cover Phenology Change and Response to Climate in China during 2000–2020 Q. Zhao et al. 10.3390/rs14163936
- Towards Forecasting Future Snow Cover Dynamics in the European Alps—The Potential of Long Optical Remote-Sensing Time Series J. Koehler et al. 10.3390/rs14184461
- A New Retrieval Algorithm of Fractional Snow over the Tibetan Plateau Derived from AVH09C1 H. Yin et al. 10.3390/rs16132260
- Estimating AVHRR snow cover fraction by coupling physical constraints into a deep learning framework Q. Zhao et al. 10.1016/j.isprsjprs.2024.08.015
- Investigating climatic drivers of snow phenology by considering key-substage heterogeneity X. Ma et al. 10.1016/j.jhydrol.2024.132215
- Characteristics Analysis and Prediction of Land Use Evolution in the Source Region of the Yangtze River and Yellow River Based on Improved FLUS Model H. Gao et al. 10.3390/land13030393
- A global historical twice-daily (daytime and nighttime) land surface temperature dataset produced by Advanced Very High Resolution Radiometer observations from 1981 to 2021 J. Li et al. 10.5194/essd-15-2189-2023
- Attribution analysis of runoff change based on Budyko-type model with time-varying parameters for the Lhasa River Basin, Qinghai–Tibet Plateau X. Sun et al. 10.1016/j.ejrh.2023.101469
- MODIS daily cloud-gap-filled fractional snow cover dataset of the Asian Water Tower region (2000–2022) F. Pan et al. 10.5194/essd-16-2501-2024
- Revealing four decades of snow cover dynamics in the Hindu Kush Himalaya K. Naegeli et al. 10.1038/s41598-022-17575-4
12 citations as recorded by crossref.
- Development and validation of a new MODIS snow-cover-extent product over China X. Hao et al. 10.5194/hess-26-1937-2022
- Comparison of Three Different Random Forest Approaches to Retrieve Daily High-Resolution Snow Cover Maps from MODIS and Sentinel-2 in a Mountain Area, Gran Paradiso National Park (NW Alps) C. Richiardi et al. 10.3390/rs15020343
- Retrieval of Fractional Snow Cover over High Mountain Asia Using 1 km and 5 km AVHRR/2 with Simulated Mid-Infrared Reflective Band F. Pan et al. 10.3390/rs14143303
- Snow Cover Phenology Change and Response to Climate in China during 2000–2020 Q. Zhao et al. 10.3390/rs14163936
- Towards Forecasting Future Snow Cover Dynamics in the European Alps—The Potential of Long Optical Remote-Sensing Time Series J. Koehler et al. 10.3390/rs14184461
- A New Retrieval Algorithm of Fractional Snow over the Tibetan Plateau Derived from AVH09C1 H. Yin et al. 10.3390/rs16132260
- Estimating AVHRR snow cover fraction by coupling physical constraints into a deep learning framework Q. Zhao et al. 10.1016/j.isprsjprs.2024.08.015
- Investigating climatic drivers of snow phenology by considering key-substage heterogeneity X. Ma et al. 10.1016/j.jhydrol.2024.132215
- Characteristics Analysis and Prediction of Land Use Evolution in the Source Region of the Yangtze River and Yellow River Based on Improved FLUS Model H. Gao et al. 10.3390/land13030393
- A global historical twice-daily (daytime and nighttime) land surface temperature dataset produced by Advanced Very High Resolution Radiometer observations from 1981 to 2021 J. Li et al. 10.5194/essd-15-2189-2023
- Attribution analysis of runoff change based on Budyko-type model with time-varying parameters for the Lhasa River Basin, Qinghai–Tibet Plateau X. Sun et al. 10.1016/j.ejrh.2023.101469
- MODIS daily cloud-gap-filled fractional snow cover dataset of the Asian Water Tower region (2000–2022) F. Pan et al. 10.5194/essd-16-2501-2024
1 citations as recorded by crossref.
Latest update: 02 Nov 2024
Short summary
We performed a comprehensive accuracy assessment of an Advanced Very High Resolution Radiometer global area coverage snow-cover extent time series dataset for the Hindu Kush Himalayan (HKH) region. The sensor-to-sensor consistency, the accuracy related to snow depth, elevations, land-cover types, slope, and aspects, and topographical variability were also explored. Our analysis shows an overall accuracy of 94 % in comparison with in situ station data, which is the same with MOD10A1 V006.
We performed a comprehensive accuracy assessment of an Advanced Very High Resolution Radiometer...
