Article detail · 2007
Commentary on comparison of MODIS snow cover and albedo products with ground observations over the mountainous terrain of Turkey
- Year
- 2007
- Type
- editorial
Data source split
- YÖKSİS YÖKSİS article record
- YÖKSİS venue HYDROLOGY AND EARTH SYSTEM SCIENCES
- Catalog match (ISSN) Hydrology and Earth System Sciences
- OpenAlex OpenAlex enrichment (abstract, citations, topics)
Abstract
OpenAlex · English
Abstract. The MODerate-resolution Imaging Spectroradiometer (MODIS) snow cover product was evaluated by Parajka and Blösch (2006) over the territory of Austria. The spatial and temporal variability of the MODIS snow product classes are analyzed, the accuracy of the MODIS snow product against numerous in situ snow depth data are examined and the main factors that may influence the MODIS classification accuracy are identified in their studies. The authors of this paper would like to provide more discussion to the scientific community on the "Validation of MODIS snow cover images" when similar methodology is applied to mountainous regions covered with abundant snow but with limited number of ground survey and automated stations. Daily snow cover maps obtained from MODIS images are compared with ground observations in mountainous terrain of Turkey for the winter season of 2002–2003 and 2003–2004 during the accumulation and ablation periods of snow. Snow depth and density values are recorded to determine snow water equivalent (SWE) values at 19 points in and around the study area in Turkey. Comparison of snow maps with in situ data show good agreement with overall accuracies in between 62 to 82 percent considering a 2-day shift during cloudy days. Studies show that the snow cover extent can be used for forecasting of runoff hydrographs resulting mostly from snowmelt for a mountainous basin in Turkey. MODIS-Terra snow albedo products are also compared with ground based measurements over the ablation stage of 2004 using the automated weather operating stations (AWOS) records at fixed locations as well as from the temporally assessed measuring sites during the passage of the satellite. Temporarily assessed 20 ground measurement sites are randomly distributed around one of the AWOS stations and both MODIS and ground data were aggregated in GIS for analysis. Reduction in albedo is noticed as snow depth decreased and SWE values increased.
Topics
Citations
OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.
57 citations
OpenAlex cited_by_count (cache / database)
16 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).
- Completing the machine learning saga in fractional snow cover estimation from MODIS Terra reflectance data: Random forests versus support vector regression 2021
- Improving daily streamflow forecasts in mountainous Upper Euphrates basin by multi layer perceptron model with satellite snow products 2016
- Improving daily streamflow forecasts in mountainous Upper Euphrates basin by multi layer perceptron model with satellite snow products 2016
- Improving daily streamflow forecasts in mountainous Upper Euphrates basin by multi layer perceptron model with satellite snow products 2016
- The Value of Snow Depletion Forecasting Methods Towards Operational Snowmelt Runoff Estimation Using MODIS and Numerical Weather Prediction Data 2012
- The Value of Snow Depletion Forecasting Methods Towards Operational Snowmelt Runoff Estimation Using MODIS and Numerical Weather Prediction Data 2012
- Snow cover trend analysis using Interactive Multisensor Snow and Ice Mapping System data over Turkey 2014
- A machine learning-based accuracy enhancement on EUMETSAT H-SAF H35 effective snow-covered area product 2022
- A machine learning-based accuracy enhancement on EUMETSAT H-SAF H35 effective snow-covered area product 2022
- Probabilistic Snow Cover and Ensemble Streamflow Estimations in the Upper Euphrates Basin 2019