1. Spatiotemporal snow cover characterization and its linkage with climate change over the Chenab river basin, western Himalayas
- Author
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Jaydeo K. Dharpure, Akansha Patel, Ajanta Goswami, Anil V. Kulkarni, and Snehmani
- Subjects
climatic variability ,cloud gap-filling algorithm ,modis snow cover products ,snow cover variability ,trend analysis ,Mathematical geography. Cartography ,GA1-1776 ,Environmental sciences ,GE1-350 - Abstract
Monitoring of snow cover variability is crucial because it is closely linked with mountain water resources, ecosystems, and climate change. For this, moderate-resolution imaging spectroradiometer (MODIS) daily snow cover products (SCPs, version 6) were used over the Chenab river basin (CRB) during 2001–2017. In these data, cloud cover is a significant problem that produces a discontinuity in spatial and temporal scale for long-term snow cover monitoring. Therefore, a sequential non-spectral composite methodology (with five successive steps) was applied to reduce cloud obscuration. Further, the cloud gap-filled SCPs were validated with the indirect method as well as high-resolution satellite data (Landsat-8). Results indicate that the cloud-removed SCPs show an overall efficiency of 92.8 $$ \pm $$ 1.6% with an indirect approach, while an overestimation (9.3%) was observed between Landsat and MODIS snow cover area (SCA) along with higher correlation (R = 0.99, p
- Published
- 2020
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