NDLI: Application of remote sensing data derived from NOAA-AVHRR images for spatial snow water equivalent modelling

Content Provider	IEEE Xplore Digital Library
Author	Taschner, S. Strasser, U. Mauser, W.
Copyright Year	1998
Description	Author affiliation: Inst. for Geography, Univ. of Munich, Germany (Taschner, S.)
Abstract	Spatial snow water equivalent modelling in mesoscale catchments requires spatially distributed information. This can be provided by remote sensing data. On the one hand remote sensing data are applied as model input parameter fields. On the other hand they can be used as model validation data. Due to its several repetition rate per day and the spatial resolution of 1 km/sup 2/ the NOAA-AVHRR is the preferred satellite for those applications. In this approach the spatially distributed, physically based snow submodel ESCIMO (Energy Balance Snow Cover GIS Integrated Model) is presented that is integrated in the multiscale modelling shell PROMET. ESCIMO calculates hourly snow cover distribution and snowmelt runoff by an energy and mass balance assertion. The model applies remote sensing data as model input parameter fields. The spatial land use information is derived from a multitemporal spectral unmixing procedure of NOAA-AVHRR satellite data from the vegetation period 1995. The temporal distribution of the snow cover and snow water equivalent was modelled for the winter season of 1993/94 in the Weser catchment. The calculated snow water equivalent is verified with measurements of a German Weather Service station. The snow cover results are validated with the snow cover derived from a NOAA image from 14 February 1994.
Starting Page	1861
Ending Page	1863
File Size	333017
Page Count	3
File Format	PDF
ISBN	0780344030
DOI	10.1109/IGARSS.1998.703676
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-07-06
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Remote sensing Snow Sea measurements Satellites Spatial resolution Interpolation Vegetation mapping Testing Meteorology Temperature measurement
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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