The use of spectral and geomorphometric data for water erosion mapping in El Ksiba region in the central High Atlas Mountains of Morocco
Abstract The aim of this study is to map and to identify the water erosion risks in the central High Atlas Mountains of Morocco. The approach is to integrate in the geographic information systems (GIS) for multi-criteria analyses, the geomorphometric variables (the gradient and the form of the slope...
Ausführliche Beschreibung
Autor*in: |
Bachaoui, Bahija [verfasserIn] Bachaoui, El Mostafa [verfasserIn] Maimouni, Soufiane [verfasserIn] Lhissou, Rachid [verfasserIn] El Harti, Abderrazak [verfasserIn] El Ghmari, Abderrahmene [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2014 |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: Applied geomatics - Berlin : Springer, 2009, 6(2014), 3 vom: 22. Mai, Seite 159-169 |
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Übergeordnetes Werk: |
volume:6 ; year:2014 ; number:3 ; day:22 ; month:05 ; pages:159-169 |
Links: |
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DOI / URN: |
10.1007/s12518-014-0130-3 |
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Katalog-ID: |
SPR025987143 |
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245 | 1 | 4 | |a The use of spectral and geomorphometric data for water erosion mapping in El Ksiba region in the central High Atlas Mountains of Morocco |
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520 | |a Abstract The aim of this study is to map and to identify the water erosion risks in the central High Atlas Mountains of Morocco. The approach is to integrate in the geographic information systems (GIS) for multi-criteria analyses, the geomorphometric variables (the gradient and the form of the slope) and the spectral indices derived from Landsat 5 Thematic Mapper (TM) data (form index, coloration index, and vegetation index). According to different weights for these variables, several scenarios of water erosion risk maps were produced and confronted with the ground truth for validation. | ||
650 | 4 | |a Water erosion |7 (dpeaa)DE-He213 | |
650 | 4 | |a Geomorphometric variables |7 (dpeaa)DE-He213 | |
650 | 4 | |a Spectral indices |7 (dpeaa)DE-He213 | |
650 | 4 | |a Multi-criteria analyses |7 (dpeaa)DE-He213 | |
650 | 4 | |a Central High Atlas Mountains of Morocco |7 (dpeaa)DE-He213 | |
700 | 1 | |a Bachaoui, El Mostafa |e verfasserin |4 aut | |
700 | 1 | |a Maimouni, Soufiane |e verfasserin |4 aut | |
700 | 1 | |a Lhissou, Rachid |e verfasserin |4 aut | |
700 | 1 | |a El Harti, Abderrazak |e verfasserin |4 aut | |
700 | 1 | |a El Ghmari, Abderrahmene |e verfasserin |4 aut | |
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10.1007/s12518-014-0130-3 doi (DE-627)SPR025987143 (SPR)s12518-014-0130-3-e DE-627 ger DE-627 rakwb eng 550 ASE 38.03 bkl 38.73 bkl 74.41 bkl 74.48 bkl Bachaoui, Bahija verfasserin aut The use of spectral and geomorphometric data for water erosion mapping in El Ksiba region in the central High Atlas Mountains of Morocco 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The aim of this study is to map and to identify the water erosion risks in the central High Atlas Mountains of Morocco. The approach is to integrate in the geographic information systems (GIS) for multi-criteria analyses, the geomorphometric variables (the gradient and the form of the slope) and the spectral indices derived from Landsat 5 Thematic Mapper (TM) data (form index, coloration index, and vegetation index). According to different weights for these variables, several scenarios of water erosion risk maps were produced and confronted with the ground truth for validation. Water erosion (dpeaa)DE-He213 Geomorphometric variables (dpeaa)DE-He213 Spectral indices (dpeaa)DE-He213 Multi-criteria analyses (dpeaa)DE-He213 Central High Atlas Mountains of Morocco (dpeaa)DE-He213 Bachaoui, El Mostafa verfasserin aut Maimouni, Soufiane verfasserin aut Lhissou, Rachid verfasserin aut El Harti, Abderrazak verfasserin aut El Ghmari, Abderrahmene verfasserin aut Enthalten in Applied geomatics Berlin : Springer, 2009 6(2014), 3 vom: 22. Mai, Seite 159-169 (DE-627)598789499 (DE-600)2491557-9 1866-928X nnns volume:6 year:2014 number:3 day:22 month:05 pages:159-169 https://dx.doi.org/10.1007/s12518-014-0130-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GEO SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.03 ASE 38.73 ASE 74.41 ASE 74.48 ASE AR 6 2014 3 22 05 159-169 |
spelling |
10.1007/s12518-014-0130-3 doi (DE-627)SPR025987143 (SPR)s12518-014-0130-3-e DE-627 ger DE-627 rakwb eng 550 ASE 38.03 bkl 38.73 bkl 74.41 bkl 74.48 bkl Bachaoui, Bahija verfasserin aut The use of spectral and geomorphometric data for water erosion mapping in El Ksiba region in the central High Atlas Mountains of Morocco 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The aim of this study is to map and to identify the water erosion risks in the central High Atlas Mountains of Morocco. The approach is to integrate in the geographic information systems (GIS) for multi-criteria analyses, the geomorphometric variables (the gradient and the form of the slope) and the spectral indices derived from Landsat 5 Thematic Mapper (TM) data (form index, coloration index, and vegetation index). According to different weights for these variables, several scenarios of water erosion risk maps were produced and confronted with the ground truth for validation. Water erosion (dpeaa)DE-He213 Geomorphometric variables (dpeaa)DE-He213 Spectral indices (dpeaa)DE-He213 Multi-criteria analyses (dpeaa)DE-He213 Central High Atlas Mountains of Morocco (dpeaa)DE-He213 Bachaoui, El Mostafa verfasserin aut Maimouni, Soufiane verfasserin aut Lhissou, Rachid verfasserin aut El Harti, Abderrazak verfasserin aut El Ghmari, Abderrahmene verfasserin aut Enthalten in Applied geomatics Berlin : Springer, 2009 6(2014), 3 vom: 22. Mai, Seite 159-169 (DE-627)598789499 (DE-600)2491557-9 1866-928X nnns volume:6 year:2014 number:3 day:22 month:05 pages:159-169 https://dx.doi.org/10.1007/s12518-014-0130-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GEO SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.03 ASE 38.73 ASE 74.41 ASE 74.48 ASE AR 6 2014 3 22 05 159-169 |
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10.1007/s12518-014-0130-3 doi (DE-627)SPR025987143 (SPR)s12518-014-0130-3-e DE-627 ger DE-627 rakwb eng 550 ASE 38.03 bkl 38.73 bkl 74.41 bkl 74.48 bkl Bachaoui, Bahija verfasserin aut The use of spectral and geomorphometric data for water erosion mapping in El Ksiba region in the central High Atlas Mountains of Morocco 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The aim of this study is to map and to identify the water erosion risks in the central High Atlas Mountains of Morocco. The approach is to integrate in the geographic information systems (GIS) for multi-criteria analyses, the geomorphometric variables (the gradient and the form of the slope) and the spectral indices derived from Landsat 5 Thematic Mapper (TM) data (form index, coloration index, and vegetation index). According to different weights for these variables, several scenarios of water erosion risk maps were produced and confronted with the ground truth for validation. Water erosion (dpeaa)DE-He213 Geomorphometric variables (dpeaa)DE-He213 Spectral indices (dpeaa)DE-He213 Multi-criteria analyses (dpeaa)DE-He213 Central High Atlas Mountains of Morocco (dpeaa)DE-He213 Bachaoui, El Mostafa verfasserin aut Maimouni, Soufiane verfasserin aut Lhissou, Rachid verfasserin aut El Harti, Abderrazak verfasserin aut El Ghmari, Abderrahmene verfasserin aut Enthalten in Applied geomatics Berlin : Springer, 2009 6(2014), 3 vom: 22. Mai, Seite 159-169 (DE-627)598789499 (DE-600)2491557-9 1866-928X nnns volume:6 year:2014 number:3 day:22 month:05 pages:159-169 https://dx.doi.org/10.1007/s12518-014-0130-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GEO SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.03 ASE 38.73 ASE 74.41 ASE 74.48 ASE AR 6 2014 3 22 05 159-169 |
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10.1007/s12518-014-0130-3 doi (DE-627)SPR025987143 (SPR)s12518-014-0130-3-e DE-627 ger DE-627 rakwb eng 550 ASE 38.03 bkl 38.73 bkl 74.41 bkl 74.48 bkl Bachaoui, Bahija verfasserin aut The use of spectral and geomorphometric data for water erosion mapping in El Ksiba region in the central High Atlas Mountains of Morocco 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The aim of this study is to map and to identify the water erosion risks in the central High Atlas Mountains of Morocco. The approach is to integrate in the geographic information systems (GIS) for multi-criteria analyses, the geomorphometric variables (the gradient and the form of the slope) and the spectral indices derived from Landsat 5 Thematic Mapper (TM) data (form index, coloration index, and vegetation index). According to different weights for these variables, several scenarios of water erosion risk maps were produced and confronted with the ground truth for validation. Water erosion (dpeaa)DE-He213 Geomorphometric variables (dpeaa)DE-He213 Spectral indices (dpeaa)DE-He213 Multi-criteria analyses (dpeaa)DE-He213 Central High Atlas Mountains of Morocco (dpeaa)DE-He213 Bachaoui, El Mostafa verfasserin aut Maimouni, Soufiane verfasserin aut Lhissou, Rachid verfasserin aut El Harti, Abderrazak verfasserin aut El Ghmari, Abderrahmene verfasserin aut Enthalten in Applied geomatics Berlin : Springer, 2009 6(2014), 3 vom: 22. Mai, Seite 159-169 (DE-627)598789499 (DE-600)2491557-9 1866-928X nnns volume:6 year:2014 number:3 day:22 month:05 pages:159-169 https://dx.doi.org/10.1007/s12518-014-0130-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GEO SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.03 ASE 38.73 ASE 74.41 ASE 74.48 ASE AR 6 2014 3 22 05 159-169 |
allfieldsSound |
10.1007/s12518-014-0130-3 doi (DE-627)SPR025987143 (SPR)s12518-014-0130-3-e DE-627 ger DE-627 rakwb eng 550 ASE 38.03 bkl 38.73 bkl 74.41 bkl 74.48 bkl Bachaoui, Bahija verfasserin aut The use of spectral and geomorphometric data for water erosion mapping in El Ksiba region in the central High Atlas Mountains of Morocco 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The aim of this study is to map and to identify the water erosion risks in the central High Atlas Mountains of Morocco. The approach is to integrate in the geographic information systems (GIS) for multi-criteria analyses, the geomorphometric variables (the gradient and the form of the slope) and the spectral indices derived from Landsat 5 Thematic Mapper (TM) data (form index, coloration index, and vegetation index). According to different weights for these variables, several scenarios of water erosion risk maps were produced and confronted with the ground truth for validation. Water erosion (dpeaa)DE-He213 Geomorphometric variables (dpeaa)DE-He213 Spectral indices (dpeaa)DE-He213 Multi-criteria analyses (dpeaa)DE-He213 Central High Atlas Mountains of Morocco (dpeaa)DE-He213 Bachaoui, El Mostafa verfasserin aut Maimouni, Soufiane verfasserin aut Lhissou, Rachid verfasserin aut El Harti, Abderrazak verfasserin aut El Ghmari, Abderrahmene verfasserin aut Enthalten in Applied geomatics Berlin : Springer, 2009 6(2014), 3 vom: 22. Mai, Seite 159-169 (DE-627)598789499 (DE-600)2491557-9 1866-928X nnns volume:6 year:2014 number:3 day:22 month:05 pages:159-169 https://dx.doi.org/10.1007/s12518-014-0130-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-GEO SSG-OPC-GGO SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 38.03 ASE 38.73 ASE 74.41 ASE 74.48 ASE AR 6 2014 3 22 05 159-169 |
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Enthalten in Applied geomatics 6(2014), 3 vom: 22. Mai, Seite 159-169 volume:6 year:2014 number:3 day:22 month:05 pages:159-169 |
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Enthalten in Applied geomatics 6(2014), 3 vom: 22. Mai, Seite 159-169 volume:6 year:2014 number:3 day:22 month:05 pages:159-169 |
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Water erosion Geomorphometric variables Spectral indices Multi-criteria analyses Central High Atlas Mountains of Morocco |
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Bachaoui, Bahija @@aut@@ Bachaoui, El Mostafa @@aut@@ Maimouni, Soufiane @@aut@@ Lhissou, Rachid @@aut@@ El Harti, Abderrazak @@aut@@ El Ghmari, Abderrahmene @@aut@@ |
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Bachaoui, Bahija ddc 550 bkl 38.03 bkl 38.73 bkl 74.41 bkl 74.48 misc Water erosion misc Geomorphometric variables misc Spectral indices misc Multi-criteria analyses misc Central High Atlas Mountains of Morocco The use of spectral and geomorphometric data for water erosion mapping in El Ksiba region in the central High Atlas Mountains of Morocco |
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550 ASE 38.03 bkl 38.73 bkl 74.41 bkl 74.48 bkl The use of spectral and geomorphometric data for water erosion mapping in El Ksiba region in the central High Atlas Mountains of Morocco Water erosion (dpeaa)DE-He213 Geomorphometric variables (dpeaa)DE-He213 Spectral indices (dpeaa)DE-He213 Multi-criteria analyses (dpeaa)DE-He213 Central High Atlas Mountains of Morocco (dpeaa)DE-He213 |
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ddc 550 bkl 38.03 bkl 38.73 bkl 74.41 bkl 74.48 misc Water erosion misc Geomorphometric variables misc Spectral indices misc Multi-criteria analyses misc Central High Atlas Mountains of Morocco |
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Bachaoui, Bahija Bachaoui, El Mostafa Maimouni, Soufiane Lhissou, Rachid El Harti, Abderrazak El Ghmari, Abderrahmene |
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title_sort |
use of spectral and geomorphometric data for water erosion mapping in el ksiba region in the central high atlas mountains of morocco |
title_auth |
The use of spectral and geomorphometric data for water erosion mapping in El Ksiba region in the central High Atlas Mountains of Morocco |
abstract |
Abstract The aim of this study is to map and to identify the water erosion risks in the central High Atlas Mountains of Morocco. The approach is to integrate in the geographic information systems (GIS) for multi-criteria analyses, the geomorphometric variables (the gradient and the form of the slope) and the spectral indices derived from Landsat 5 Thematic Mapper (TM) data (form index, coloration index, and vegetation index). According to different weights for these variables, several scenarios of water erosion risk maps were produced and confronted with the ground truth for validation. |
abstractGer |
Abstract The aim of this study is to map and to identify the water erosion risks in the central High Atlas Mountains of Morocco. The approach is to integrate in the geographic information systems (GIS) for multi-criteria analyses, the geomorphometric variables (the gradient and the form of the slope) and the spectral indices derived from Landsat 5 Thematic Mapper (TM) data (form index, coloration index, and vegetation index). According to different weights for these variables, several scenarios of water erosion risk maps were produced and confronted with the ground truth for validation. |
abstract_unstemmed |
Abstract The aim of this study is to map and to identify the water erosion risks in the central High Atlas Mountains of Morocco. The approach is to integrate in the geographic information systems (GIS) for multi-criteria analyses, the geomorphometric variables (the gradient and the form of the slope) and the spectral indices derived from Landsat 5 Thematic Mapper (TM) data (form index, coloration index, and vegetation index). According to different weights for these variables, several scenarios of water erosion risk maps were produced and confronted with the ground truth for validation. |
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container_issue |
3 |
title_short |
The use of spectral and geomorphometric data for water erosion mapping in El Ksiba region in the central High Atlas Mountains of Morocco |
url |
https://dx.doi.org/10.1007/s12518-014-0130-3 |
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Bachaoui, El Mostafa Maimouni, Soufiane Lhissou, Rachid El Harti, Abderrazak El Ghmari, Abderrahmene |
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Bachaoui, El Mostafa Maimouni, Soufiane Lhissou, Rachid El Harti, Abderrazak El Ghmari, Abderrahmene |
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up_date |
2024-07-03T18:11:18.619Z |
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score |
7.400281 |