Automated mapping of snow/ice surface temperature using Landsat-8 data in Beas River basin, India, and validation with wireless sensor network data
In this paper, an automated method for retrieval of snow surface temperature (SST) in Beas River Basin, India, using Landsat-8 thermal data is proposed. Digital number (DN) values of thermal data were converted into Top of Atmospheric (TOA) radiance. Surface radiance has been estimated from TOA radiance using a single channel method. The estimated surface radiance was then converted into SST. Cloud free Landsat-8 data for January and February 2017 has been used to estimate SST. Snow and Avalanche Study Establishment (SASE) has established a wireless sensor network (WSN) in an avalanche prone slope in Beas River Basin, India. Landsat-8 retrieved SST has been compared and validated with recorded SST at WSN stations. The retrieved SST using proposed algorithm was in good agreement with SST recorded on ground by sensor network. The mean absolute error (MAE) and root-mean-square error (RMSE) between estimated and recorded SST has been observed as ~ 1.1 K and ~ 1.5 K for 23 January 2017 and ~ 0.7 and ~ 1.6 K for 24 February 2017. Algorithm has shown a potential for automated mapping of snow and ice surface temperature using Landsat-8 data for snow cover and glaciers in Himalaya.
KeywordsSurface temperature Landsat-8 thermal data Wireless sensor network
The authors are grateful to A. Ganju, Director, Snow and Avalanche Study Establishment (SASE) for providing facilities to carry out this work and constant motivation during the investigation. The authors would like to acknowledge SASE staff for collecting ground data. Thanks are due to R.K.Garg for providing WSN data. The Landsat-8 data made available by earth explorer (https://earthexplorer.usgs.gov/) is thankfully acknowledge. We are also thankful to Google earth for providing high resolution image of the study area.
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