Accuracy assessment of MODIS, NOAA and IRS data in snow cover mapping under Himalayan conditions

Snow cover information is an essential parameter for a wide variety of scientific studies and management applications, especially in snowmelt runoff modelling. Until now NOAA and IRS data were widely and effectively used for snow‐covered area (SCA) estimation in several Himalayan basins. The suit of snow cover products produced from MODIS data had not previously been used in SCA estimation and snowmelt runoff modelling in any Himalayan basin. The present study was conducted with the aim of assessing the accuracy of MODIS, NOAA and IRS data in snow cover mapping under Himalayan conditions. The total SCA was estimated using these three datasets for 15 dates spread over 4 years. The results were compared with ground‐based estimation of snow cover. A good agreement was observed between satellite‐based estimation and ground‐based estimation. The influence of aspect in SCA estimation was analysed for the three satellite datasets and it was observed that MODIS produced better results. Snow mapping accuracy with respect to elevation was tested and it was observed that at higher elevation MODIS sensed more snow and proved better at mapping snow under mountain shadow conditions. At lower elevation, IRS proved better in mapping patchy snow cover due to higher spatial resolution. The temporal resolution of MODIS and NOAA data is better than IRS data, which means that the chances of getting cloud‐free scenes is higher. In addition, MODIS has an automated snow‐mapping algorithm, which reduces the time and errors incorporated during processing satellite data manually. Considering all these factors, it was concluded that MODIS data could be effectively used for SCA estimation under Himalayan conditions, which is a vital parameter for snowmelt runoff estimation.

[1]  Snow cover area (SCA) is the main factor in forecasting snowmelt runoff from major river basins , 1987 .

[2]  A. Klein,et al.  Improving snow cover mapping in forests through the use of a canopy reflectance model , 1998 .

[3]  Remote Sensing in Snow Hydrology: Runoff Modelling, Effect of Climate Change , 2004 .

[4]  J. Foster,et al.  Passive microwave data for snow-depth and snow-extent estimations in the Himalayan mountains , 1999 .

[5]  G. Suna,et al.  Validation of surface height from shuttle radar topography mission using shuttle laser altimeter , 2003 .

[6]  Andrew G. Klein,et al.  Validation of daily MODIS snow cover maps of the Upper Rio Grande River Basin for the 2000–2001 snow year , 2003 .

[7]  Alan H. Strahler,et al.  The Moderate Resolution Imaging Spectroradiometer (MODIS): land remote sensing for global change research , 1998, IEEE Trans. Geosci. Remote. Sens..

[8]  R. Reynolds,et al.  Comprehensive Large Array-data Stewardship System (CLASS)A Fully-distributed System , 2005 .

[9]  S. Hensley,et al.  SRTM C-band topographic data: quality assessments and calibration activities , 2001, IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217).

[10]  Rajat Gupta,et al.  Snow-cover area vs. snowmelt runoff relation and its dependence on geomorphology — A study from the Beas catchment (Himalayas, India) , 1982 .

[11]  Weiyue Li,et al.  Comparison of methods of snow cover mapping by analysing the solar spectrum of satellite remote sensing data in China , 2003 .

[12]  J. Dozier.  Spectral Signature of Alpine Snow Cover from the Landsat Thematic Mapper , 1989 .

[13]  Umesh K. Haritashya,et al.  Mapping Dry/Wet Snow Cover in the Indian Himalayas using IRS Multispectral Imagery , 2005 .

[14]  Brian L. Markham,et al.  Thematic Mapper bandpass solar exoatmospheric irradiances , 1987 .

[15]  François Delclaux,et al.  Reconstruction of Megalake Chad using Shuttle Radar Topographic Mission data , 2006 .

[16]  D. Hall,et al.  Development of methods for mapping global snow cover using moderate resolution imaging spectroradiometer data , 1995 .

[17]  Vinay K. Dadhwal,et al.  Bandpass solar exoatmospheric irradiance and Rayleigh optical thickness of sensors on board Indian Remote Sensing Satellites-1B, -1C, -1D, and P4 , 2002, IEEE Trans. Geosci. Remote. Sens..

[18]  K. Shadan,et al.  Available online: , 2012 .

[19]  N. DiGirolamo,et al.  MODIS snow-cover products , 2002 .

[20]  Dan G. Blumberg,et al.  Analysis of large aeolian (wind-blown) bedforms using the Shuttle Radar Topography Mission (SRTM) digital elevation data , 2006 .

[21]  Sanjay K. Jain,et al.  Snow and glacier melt in the Satluj River at Bhakra Dam in the western Himalayan region , 2002 .

[22]  Sanjay K. Jain,et al.  Modelling of streamflow and its components for a large Himalayan basin with predominant snowmelt yields , 2003 .

[23]  Albert Rango,et al.  Spaceborne remote sensing for snow hydrology applications , 1996 .

[24]  Howard A. Zebker,et al.  Mapping the world's topography using radar interferometry: the TOPSAT mission , 1994, Proc. IEEE.

[25]  J. Martinec,et al.  Remote Sensing of Ice and Snow , 1985 .