Title :
Enhancement of the MODIS Snow and Ice Product Suite Utilizing Image Segmentation
Author :
Tilton, James C. ; Hall, Dorothy K. ; Riggs, George A.
Author_Institution :
NASA Goddard Space Flight Center, Greenbelt, MD
Abstract :
A problem has been noticed with the current MODIS Snow and Ice Product in that fringes of certain snow fields are labeled as "cloud" whereas close inspection of the data indicates that the correct labeling is a non-cloud category such as snow or land. This occurs because the current MODIS Snow and Ice Product generation algorithm relies solely on the MODIS Cloud Mask Product for the labeling of image pixels as cloud. It is proposed here that information obtained from image segmentation can be used to determine when it is appropriate to override the cloud indication from the cloud mask product. Initial tests show that this approach can significantly reduce the cloud "fringing" in modified snow cover labeling. More comprehensive testing is required to determine whether or not this approach consistently improves the accuracy of the snow and ice product.
Keywords :
hydrological techniques; image segmentation; remote sensing; snow; MODIS Cloud Mask Product; MODIS Snow and Ice Product generation algorithm; Moderate Resolution Imaging Spectroradiometer; cloud fringe; cloud image pixels; cloud indication; image segmentation; modified snow cover labeling; snow fields; Clouds; Ice; Image segmentation; Instruments; Labeling; MODIS; NASA; Pixel; Satellites; Snow; Image segmentation; MODIS data products; Remote sensing;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-2807-6
Electronic_ISBN :
978-1-4244-2808-3
DOI :
10.1109/IGARSS.2008.4779911
