Development of the Aqua MODIS NDSI fractional snow cover algorithm and validation results
Authors:
- 26 June 2006
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Geoscience and Remote Sensing
- Vol. 44 (7) , 1747-1756
Abstract
The principal purpose of this paper is to describe the development and validation of an algorithm to estimate the fraction of snow cover within a 500-m pixel of the Moderate Resolution Imaging Spectroradiometer (MODIS) operating on the Earth Observing System Aqua spacecraft. The performance of this algorithm and algorithms applicable to the MODIS on the Terra spacecraft are compared. Validation efforts show that both pixel-level, fractional snow cover relationships for the Terra and Aqua MODIS instruments work well as quantified by such measures as correlation coefficient (r) and root-mean-square error when compared to Landat-7 Enhanced Thematic Mapper ground-truth observations covering a substantial range of snow cover conditions. Over all the scenes used herein, the correlation coefficients were near 0.9 and the RMSE near 0.10. However, somewhat better performance was found for the Terra MODIS versus the Aqua MODIS over nearly concurrently observed scenes. Furthermore, it is clear that more improvements in fractional snow cover estimates within MODIS pixels should be pursued to better account for variability in slope and aspect, atmospheric effects, snow cover types, and land coverKeywords
This publication has 10 references indexed in Scilit:
- An approach to using snow areal depletion curves inferred from MODIS and its application to land surface modelling in AlaskaHydrological Processes, 2005
- Estimating fractional snow cover from MODIS using the normalized difference snow indexRemote Sensing of Environment, 2004
- The MODIS cloud products: algorithms and examples from terraIEEE Transactions on Geoscience and Remote Sensing, 2003
- Retrieval of subpixel snow-covered area and grain size from imaging spectrometer dataRemote Sensing of Environment, 2003
- MODIS snow-cover productsRemote Sensing of Environment, 2002
- Improving snow cover mapping in forests through the use of a canopy reflectance modelHydrological Processes, 1998
- Improving snow cover mapping in forests through the use of a canopy reflectance modelHydrological Processes, 1998
- Prelaunch characteristics of the Moderate Resolution Imaging Spectroradiometer (MODIS) on EOS-AM1IEEE Transactions on Geoscience and Remote Sensing, 1998
- Development of methods for mapping global snow cover using moderate resolution imaging spectroradiometer dataRemote Sensing of Environment, 1995
- Green vegetation, nonphotosynthetic vegetation, and soils in AVIRIS dataRemote Sensing of Environment, 1993