Snow cover mapping using IRS-P6 AWiFS data and the relationships between some climatic factors with snowpack in the northwest of Iran
In this study, we explored the potential of the multispectral and multi-temporal IRS Advanced Wide Field Sensor (AWiFS) data for mapping of the snow cover in the northwest regions of Iran. The AWiFS snow cover maps, based on the unsupervised classification method, were compared with the estimates of...
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Veröffentlicht in: | Journal of water and climate change 2016-06, Vol.7 (2), p.415-429 |
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description | In this study, we explored the potential of the multispectral and multi-temporal IRS Advanced Wide Field Sensor (AWiFS) data for mapping of the snow cover in the northwest regions of Iran. The AWiFS snow cover maps, based on the unsupervised classification method, were compared with the estimates of snow cover area derived from the moderate resolution imaging spectroradiometer (MODIS) images based on the normalized difference snow index. Good concurrence was observed with respect to the snow area between the AWiFS features and the MODIS features; however, the snow spatial distribution of the AWiFS features differed from those of the MODIS based on the nonentity of the temporal accordance between two types of features. Also, we explored the relationships between some climatic and topographic factors with the snowpack in the northwest part of Iran. Relationships between some climatic factors with snowpack specifications were obtained, which showed significant correlation only between the components of daily temperature and snow density. The other results showed that the amounts of snowpack depth have significant correlations with the height of the stations and the height classes in 1% surface and snowpack depths showed significant differences together within the different height classes. |
doi_str_mv | 10.2166/wcc.2015.009 |
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The AWiFS snow cover maps, based on the unsupervised classification method, were compared with the estimates of snow cover area derived from the moderate resolution imaging spectroradiometer (MODIS) images based on the normalized difference snow index. Good concurrence was observed with respect to the snow area between the AWiFS features and the MODIS features; however, the snow spatial distribution of the AWiFS features differed from those of the MODIS based on the nonentity of the temporal accordance between two types of features. Also, we explored the relationships between some climatic and topographic factors with the snowpack in the northwest part of Iran. Relationships between some climatic factors with snowpack specifications were obtained, which showed significant correlation only between the components of daily temperature and snow density. The other results showed that the amounts of snowpack depth have significant correlations with the height of the stations and the height classes in 1% surface and snowpack depths showed significant differences together within the different height classes.</description><identifier>ISSN: 2040-2244</identifier><identifier>EISSN: 2408-9354</identifier><identifier>DOI: 10.2166/wcc.2015.009</identifier><language>eng</language><publisher>London: IWA Publishing</publisher><subject>Classification ; Climate ; Correlation ; Daily temperatures ; Height ; Hydrologic cycle ; Hydrology ; Imaging techniques ; Mapping ; MODIS ; Remote sensing ; Runoff ; Snow ; Snow cover ; Snow cover mapping ; Snow density ; Snowpack ; Spatial distribution ; Spectroradiometers ; Studies ; Temperature effects ; Topography</subject><ispartof>Journal of water and climate change, 2016-06, Vol.7 (2), p.415-429</ispartof><rights>Copyright IWA Publishing Jun 2016</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c296t-5ceab0ffc2962f780230b3150af78322658c93f732ab41322182610fae0ce4ec3</citedby><cites>FETCH-LOGICAL-c296t-5ceab0ffc2962f780230b3150af78322658c93f732ab41322182610fae0ce4ec3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Seyedielmabad, M</creatorcontrib><creatorcontrib>Moradi, H R</creatorcontrib><title>Snow cover mapping using IRS-P6 AWiFS data and the relationships between some climatic factors with snowpack in the northwest of Iran</title><title>Journal of water and climate change</title><description>In this study, we explored the potential of the multispectral and multi-temporal IRS Advanced Wide Field Sensor (AWiFS) data for mapping of the snow cover in the northwest regions of Iran. The AWiFS snow cover maps, based on the unsupervised classification method, were compared with the estimates of snow cover area derived from the moderate resolution imaging spectroradiometer (MODIS) images based on the normalized difference snow index. Good concurrence was observed with respect to the snow area between the AWiFS features and the MODIS features; however, the snow spatial distribution of the AWiFS features differed from those of the MODIS based on the nonentity of the temporal accordance between two types of features. Also, we explored the relationships between some climatic and topographic factors with the snowpack in the northwest part of Iran. Relationships between some climatic factors with snowpack specifications were obtained, which showed significant correlation only between the components of daily temperature and snow density. The other results showed that the amounts of snowpack depth have significant correlations with the height of the stations and the height classes in 1% surface and snowpack depths showed significant differences together within the different height classes.</description><subject>Classification</subject><subject>Climate</subject><subject>Correlation</subject><subject>Daily temperatures</subject><subject>Height</subject><subject>Hydrologic cycle</subject><subject>Hydrology</subject><subject>Imaging techniques</subject><subject>Mapping</subject><subject>MODIS</subject><subject>Remote sensing</subject><subject>Runoff</subject><subject>Snow</subject><subject>Snow cover</subject><subject>Snow cover mapping</subject><subject>Snow density</subject><subject>Snowpack</subject><subject>Spatial distribution</subject><subject>Spectroradiometers</subject><subject>Studies</subject><subject>Temperature effects</subject><subject>Topography</subject><issn>2040-2244</issn><issn>2408-9354</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNpdUU1LxDAQLaKgqDd_wIAXD3adJG1MjyJ-LAiKq3gM2Zi4XbtJTVKLP8D_bdb15Bzm8_FmmFcURwQnlHB-Nmo9oUjqCWKzVezRCkXZsLrazjlWWFJaVbvFYYxLzFbXDUOxV3zPnB9B-08TYKX6vnVvMMS1nz7OygcOFy_t9QxeVVKg3CukhYFgOpVa7-Ki7SPMTRqNcRD9yoDu2lWeabBKJx8ijG1aQMw7eqXfoXW_BM6HtBhNTOAtTINyB8WOVV00h39xv3i-vnq6vC3v7m-mlxd3paYNT2WtjZqjteuK2nOBlOGckRpVLhilvBa6YfacUTWvSG4QQTlBqwxqUxnN9ouTDW8f_MeQD5CrNmrTdcoZP0RJBArOkQueocf_oEs_BJevk6ShdSU4EpZRpxuUDj7GYKzsQ_5A-JIE5VoWmWWRa1lkloX9AMXif9U</recordid><startdate>20160601</startdate><enddate>20160601</enddate><creator>Seyedielmabad, M</creator><creator>Moradi, H R</creator><general>IWA Publishing</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7TG</scope><scope>7UA</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H97</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>7ST</scope><scope>SOI</scope></search><sort><creationdate>20160601</creationdate><title>Snow cover mapping using IRS-P6 AWiFS data and the relationships between some climatic factors with snowpack in the northwest of Iran</title><author>Seyedielmabad, M ; 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The AWiFS snow cover maps, based on the unsupervised classification method, were compared with the estimates of snow cover area derived from the moderate resolution imaging spectroradiometer (MODIS) images based on the normalized difference snow index. Good concurrence was observed with respect to the snow area between the AWiFS features and the MODIS features; however, the snow spatial distribution of the AWiFS features differed from those of the MODIS based on the nonentity of the temporal accordance between two types of features. Also, we explored the relationships between some climatic and topographic factors with the snowpack in the northwest part of Iran. Relationships between some climatic factors with snowpack specifications were obtained, which showed significant correlation only between the components of daily temperature and snow density. The other results showed that the amounts of snowpack depth have significant correlations with the height of the stations and the height classes in 1% surface and snowpack depths showed significant differences together within the different height classes.</abstract><cop>London</cop><pub>IWA Publishing</pub><doi>10.2166/wcc.2015.009</doi><tpages>15</tpages></addata></record> |
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subjects | Classification Climate Correlation Daily temperatures Height Hydrologic cycle Hydrology Imaging techniques Mapping MODIS Remote sensing Runoff Snow Snow cover Snow cover mapping Snow density Snowpack Spatial distribution Spectroradiometers Studies Temperature effects Topography |
title | Snow cover mapping using IRS-P6 AWiFS data and the relationships between some climatic factors with snowpack in the northwest of Iran |
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