Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Evaluating the utility of the EUMETSAT HSAF snow recognition product over mountainous areas of eastern Turkey
Download
index.pdf
Date
2012-11-01
Author
Surer, Serdar
Akyurek, Zuhal
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
129
views
0
downloads
Cite This
Monitoring snow parameters (e. g. snow-cover area, snow water equivalent) is challenging work. Because of its natural physical properties, snow strongly affects the evolution of weather on a daily basis and climate on a longer time scale. In this paper, the snow recognition product generated from the MSG-SEVIRI images within the framework of the Hydrological Satellite Facility (HSAF) Project of EUMETSAT is presented. Validation of the snow recognition product H10 was done for the snow season (from 1 January to 31 March) of the water year 2009. The MOD10A1 and MOD10C2 snow products were also used in the validation studies. Ground truth of the products was obtained by using 1890 snow depth observations from 20 meteorological stations, which are mainly located in mountainous areas and are distributed across the eastern part of Turkey. The possibility of 37% cloud cover reduction was obtained by merging 15-min observations from MSG-SEVIRI as opposed to using only one daily observation from MODIS. The coarse spatial resolution of the H10 product gave higher commission errors compared to the MOD10A1 product. Snow depletion curves obtained from the HSAF snow recognition product were compared with those derived from the MODIS 8-day snow cover product. The preliminary results show that the HSAF snow recognition product, taking advantage of using high temporal frequency measurement with spectral information required for snow mapping, significantly improves the mapping of regional snow-cover extent over mountainous areas.
Subject Keywords
Snow cover
,
MSG-SEVIRI
,
Mountains
,
HSAF
URI
https://hdl.handle.net/11511/65805
Journal
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
DOI
https://doi.org/10.1080/02626667.2012.729132
Collections
Department of Civil Engineering, Article
Suggestions
OpenMETU
Core
Evaluating the utility of the ANSA blended snow cover product in the mountains of eastern Turkey
Akyürek, Sevda Zuhal; Riggs, George A.; ŞENSOY ŞORMAN, AYNUR (Informa UK Limited, 2010-01-01)
Snow-covered area depletion curves represent a key input for snow run-off melting models, e.g. the snowmelt run-off model (SRM). SRM is a degree-day-based model for daily run-off simulations and forecasts in mountainous areas in which snowmelt is the major run-off contributor. Satellite images and aerial photographs are valuable sources for retrieving snow-covered area. The accuracy of snow cover mapping studies in the optical wavebands is highly dependent upon the algorithm's ability to detect clouds. On v...
ESTIMATION OF SUBPIXEL SNOW-COVERED AREA BY NONPARAMETRIC REGRESSION SPLINES
KUTER, SEMİH; Akyürek, Sevda Zuhal; Weber, G. -W. (Copernicus GmbH; 2016-10-17)
Measurement of the areal extent of snow cover with high accuracy plays an important role in hydrological and climate modeling. Remotely-sensed data acquired by earth-observing satellites offer great advantages for timely monitoring of snow cover. However, the main obstacle is the tradeoff between temporal and spatial resolution of satellite imageries. Soft or subpixel classification of low or moderate resolution satellite images is a preferred technique to overcome this problem. The most frequently employed...
Determination of snow water equivalent over the eastern part of Turkey using passive microwave data
Sorman, A. Unal; Beser, Ozgur (2013-07-01)
Information on regional snow water equivalent (SWE) is required for the management of water generated from snowmelt. Modeling of SWE in the mountainous regions of eastern Turkey, one of the major headwaters of Euphrates-Tigris basin, has significant importance in forecasting snowmelt discharge, especially for optimum water usage. An assimilation process to produce daily SWE maps is developed based on Helsinki University of Technology (HUT) model and AMSR-E passive microwave data. The characteristics of the ...
Determination of snow water equivalent over eastern part of Turkey using passive microwave data
Beşer, Özgür; Şorman, Ali Ünal; Department of Civil Engineering (2011)
The assimilation process to produce daily Snow Water Equivalent (SWE) maps is modified by using Helsinki University of Technology (HUT) snow emission model and AMSR-E passive microwave data. The characteristics of HUT emission model is analyzed in-depth and discussed with respects to the extinction coefficient function. A new extinction coefficient function for the HUT model is proposed for snow over mountainous areas. Performance of the modified model is checked against original and other modified cases ag...
Cross-Country Assessment of H-SAF Snow Products by Sentinel-2 Imagery Validated against In-Situ Observations and Webcam Photography
Piazzi, Gaia; Tanis, Cemal Melih; KUTER, SEMİH; Simsek, Burak; Puca, Silvia; Toniazzo, Alexander; Takala, Matias; Akyürek, Sevda Zuhal; Gabellani, Simone; Arslan, Ali Nadir (2019-03-15)
Information on snow properties is of critical relevance for a wide range of scientific studies and operational applications, mainly for hydrological purposes. However, the ground-based monitoring of snow dynamics is a challenging task, especially over complex topography and under harsh environmental conditions. Remote sensing is a powerful resource providing snow observations at a large scale. This study addresses the potential of using Sentinel-2 high-resolution imagery to assess moderate-resolution snow p...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
S. Surer and Z. Akyurek, “Evaluating the utility of the EUMETSAT HSAF snow recognition product over mountainous areas of eastern Turkey,”
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
, pp. 1684–1694, 2012, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/65805.