Hydrological modelling using MODIS data for snow-covered area in the northern boreal forest of Manitoba

Satellite derived snow cover area (SCA) is a critical parameter in snowmelt modelling, and is used in numerous hydrological and climatological studies. A major limitation of current SCA modelling when using optical satellite sensors is mapping snow in forested areas. The most ideal case for mapping snow in dense forested areas is to have landcover data indicating the location of forested regions and then use separate classification criteria for forested and non-forested areas. This study investigates the MODIS (Moderate Resolution Imaging Spectroradiometer) snow-mapping algorithm "Snowmap" and its ability to map snow in the Northern Boreal Forest of Manitoba. Landcover data enhanced snow-mapping algorithms were developed and compared with MODIS snow products during the snowmelt period of 2001 and 2002. Landcover based algorithms and the MODIS algorithm both mapped similar amounts of SCA during the melt period in each study year. Snow depletion behavior at different elevation ranges in the study area was also investigated. This study also provides a relationship between SCA and accumulated degree-days at different elevation ranges. (Abstract shortened by UMI.)...