MODIS glacier surface albedo across the Third Pole (2001-2020, 500 m)
Authors/Creators
-
Shaoting Ren
(Producer)1
- Li Jia (Supervisor)2
-
Evan S., Miles
(Supervisor)3
- Massimo Menenti (Supervisor)2
- Marin Kneib (Research group)3
-
Thomas E. Shaw
(Research group)3
- Pascal Buri (Research group)3
-
Michael J. McCarthy
(Research group)3
- Wei Yang (Supervisor)1
- Francesca Pellicciotti (Supervisor)3
- Tandong Yao (Supervisor)1
- 1. State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China
- 2. Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
-
3.
Swiss Federal Institute for Forest, Snow and Landscape Research
Contributors
Data manager:
- 1. State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China
Description
This dataset is half-monthly glacier albedo derived by MODIS surface reflectance data from 2001 to 2020 with 500 m spatial resolution across the Third Pole. The dataset is calculated by averaging valid daily albedos during each half-monthly period, i.e., 24 phases per year and 480 phases in total. This dataset is generated by our improved glacier surface albedo retrieval method with Aqua/Terra-MODIS surface reflectance data (MOD09GA/MYD09GA). The result of evaluation shows that this dataset has a good agreement with in-situ observations and high-resolution remote sensed retrievals, and can accurately obtain the inter-annual and annual variability of glacier surface albedo. This dataset can be used to explore the reason of glacier changes over the whole Third Pole and also provide a calibration and validation dataset for glacier models.
The file name is " yyyymm01.tif/yyyymm02.tif ", where “yyyy” represents the year, “mm” represents the month, “01/02” represents the first/ second half-month. For example, “20010101.tif” is the glacier surface albedo data in the first half-month of January, 2001 over the whole Third Pole. Method of data process: This dataset is stored in GeoTIFF with WGS84 coordinate system and float data type. It can be open and processed by ArcGIS, Matlab software.
Files
GEE_code_albedo_retrive.zip
Files
(1.4 GB)
| Name | Size | Download all |
|---|---|---|
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md5:37b6658d9f7451c22365710e9e841e08
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479.2 MB | Preview Download |
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md5:99e94dc9c17fd62f5244a38324414af2
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947.9 MB | Preview Download |
Additional details
Related works
- Is continued by
- Publication: 10.3390/rs13091714 (DOI)
- Publication: 10.1017/jog.2023.45 (DOI)
- Is published in
- Publication: 10.1016/j.oneear.2024.08.010 (DOI)
Funding
- Ministry of Science and Technology of the People's Republic of China
- the Second Tibetan Plateau Scientific Expedition and Research (STEP) programme 2019QZKK0201, 2019QZKK0103
- National Natural Science Foundation of China
- Multi-dimensional spatiotemporal evolution of glacier surface albedo over the Third Pole based on in-situ and remote sensing observations 42201144
Dates
- Updated
-
2024-09-12
Software
- Repository URL
- https://code.earthengine.google.com/ab6cb3e71bfb81cd60909cdfda5c8cf8
- Development Status
- Active
References
- Shaoting, Ren, Jia Li, Evan S. Miles, Massimo Menenti, Marin Kneib, Pascal Buri, Michael J. McCarthy, Thomas E. Shaw, Yang Wei, Francesca Pellicciotti and Tandong Yao. "Observed and projected declines in glacier albedo across the Third Pole in the 21st century." One Earth 7, no.9 (2024): 1587-1599.
- Shaoting Ren, Evan S. Miles, Li Jia, Massimo Menenti, Marin Kneib, Pascal Buri, Michael J. McCarthy, Thomas E. Shaw, Wei Yang, and Francesca Pellicciotti. "Anisotropy parameterization development and evaluation for glacier surface albedo retrieval from satellite observations." Remote Sensing 13, no. 9 (2021): 1714.
- Shaoting Ren, Li Jia, Massimo Menenti, and Jing Zhang. "Changes in glacier albedo and the driving factors in the Western Nyainqentanglha Mountains from 2001 to 2020." Journal of Glaciology 69, no. 277 (2023): 1500-1514.