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Volumn 26, Issue 1, 2014, Pages 36-48

Seasonal comparisons of meteorological and agricultural droughtindices in Morocco using open short time-series data

Author keywords

Drought; Satellite images; SPI; Statistical analysis; SVI; SWI

Indexed keywords

DROUGHT; METEOROLOGY; SATELLITE IMAGERY; SEASONALITY; STATISTICAL ANALYSIS; TIME SERIES; VEGETATION COVER;

EID: 84897834655     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/j.jag.2013.05.005     Document Type: Article
Times cited : (93)

References (58)
  • 1
    • 79451471013 scopus 로고    scopus 로고
    • Calibration of TRMM rainfall climatology over Saudi Arabiaduring 1998-2009
    • Almazroui, M., 2011. Calibration of TRMM rainfall climatology over Saudi Arabiaduring 1998-2009. Atmospheric Research 99 (2011), 400-414.
    • (2011) Atmospheric Research , vol.99 , Issue.2011 , pp. 400-414
    • Almazroui, M.1
  • 2
    • 42049083323 scopus 로고    scopus 로고
    • Using AVHRR-based vegetation indices for drought monitoring in the Northwest of Iran
    • (June (6))
    • Bajgiran, P.R., Darvishsefat, A.A., Khalili, A., Makhdoum, M.F., 2008. Using AVHRR-based vegetation indices for drought monitoring in the Northwest of Iran.Journal of Arid Environments 72 (June (6)), 1086-1096.
    • (2008) Journal of Arid Environments , vol.72 , pp. 1086-1096
    • Bajgiran, P.R.1    Darvishsefat, A.A.2    Khalili, A.3    Makhdoum, M.F.4
  • 3
    • 84897894033 scopus 로고    scopus 로고
    • Wheat grain yield forecasting models for food security in Morocco
    • University de Liege, (Ph.D thesis).
    • Balaghi, R., 2006. Wheat grain yield forecasting models for food security in Morocco.University de Liege, pp. 116 (Ph.D thesis).
    • (2006) , pp. 116
    • Balaghi, R.1
  • 6
  • 8
    • 41449106514 scopus 로고    scopus 로고
    • The VegetationDrought Response Index (VegDRI): a new integrated approach for monitoringdrought stress in vegetation
    • Brown, J.F., Wardlow, B.D., Tadesse, T., Hayes, M.J., Reed, B.C., 2008. The VegetationDrought Response Index (VegDRI): a new integrated approach for monitoringdrought stress in vegetation. GIScience & Remote Sensing 45, 16-46.
    • (2008) GIScience & Remote Sensing , vol.45 , pp. 16-46
    • Brown, J.F.1    Wardlow, B.D.2    Tadesse, T.3    Hayes, M.J.4    Reed, B.C.5
  • 9
    • 84866175797 scopus 로고    scopus 로고
    • Normalized difference water indexeshave dissimilar performances in detecting seasonal and permanent water inthe Sahara-Sahel transition zone
    • 438-446, 25September.
    • Camposa, J.C., Sillerob, N., Britoa, J.C., 2012. Normalized difference water indexeshave dissimilar performances in detecting seasonal and permanent water inthe Sahara-Sahel transition zone. Journal of Hydrology 464-465, 438-446, 25September.
    • (2012) Journal of Hydrology , pp. 464-465
    • Camposa, J.C.1    Sillerob, N.2    Britoa, J.C.3
  • 10
    • 0002828023 scopus 로고
    • Spatiotemporal characteristics of drought as inferred from tree-ring data in Morocco
    • The University of Arisona, Department of Geosciences,USA (Ph.D thesis).
    • Chbouki, N., 1992. Spatiotemporal characteristics of drought as inferred from tree-ring data in Morocco. The University of Arisona, Department of Geosciences,USA (Ph.D thesis).
    • (1992)
    • Chbouki, N.1
  • 11
    • 84870993585 scopus 로고    scopus 로고
    • Evaluation of drought indicesvia remotely sensed data with hydrological variables
    • (January (7))
    • Choi, M., Jacobs, J.M., Anderson, M.C., Bosch, D.D., 2013. Evaluation of drought indicesvia remotely sensed data with hydrological variables. Journal of Hydrology 476(January (7)), 265-273.
    • (2013) Journal of Hydrology , vol.476 , pp. 265-273
    • Choi, M.1    Jacobs, J.M.2    Anderson, M.C.3    Bosch, D.D.4
  • 13
    • 67349092457 scopus 로고    scopus 로고
    • Numerical simulation of the probabil-ity distribution function of precipitation over Morocco
    • Driouech, F., Déqué, M., Mokssit, A., 2009. Numerical simulation of the probabil-ity distribution function of precipitation over Morocco. Climate Dynamics 32,1055-1063, http://dx.doi.org/10.1007/s00382-008-04310-6.
    • (2009) Climate Dynamics , vol.32 , pp. 1055-1063
    • Driouech, F.1    Déqué, M.2    Mokssit, A.3
  • 15
    • 84872358196 scopus 로고    scopus 로고
    • First results from Version 7 TRMM 3B43 precip-itation product in combination with a new downscaling-calibration procedure
    • Duan, Z., Bastiaanssen, W.G.M., 2013. First results from Version 7 TRMM 3B43 precip-itation product in combination with a new downscaling-calibration procedure.Remote Sensing of Environment 131, 1-13.
    • (2013) Remote Sensing of Environment , vol.131 , pp. 1-13
    • Duan, Z.1    Bastiaanssen, W.G.M.2
  • 17
    • 0030429663 scopus 로고    scopus 로고
    • NDWI-a normalized difference water index for remote sensingof vegetation liquid water from space
    • Gao, B.C., 1996. NDWI-a normalized difference water index for remote sensingof vegetation liquid water from space. Remote Sensing of Environment 58 (3),257-266.
    • (1996) Remote Sensing of Environment , vol.58 , Issue.3 , pp. 257-266
    • Gao, B.C.1
  • 19
    • 34249910365 scopus 로고    scopus 로고
    • A five-year analysis ofMODIS NDVI and NDWI for grassland drought assessment over the centralGreat Plains of the United States
    • Gu, Y., Brown, J.F., Verdin, J.P., Wardlow, B., 2007. A five-year analysis ofMODIS NDVI and NDWI for grassland drought assessment over the centralGreat Plains of the United States. Geophysical Research Letters 34, L06407,http://dx.doi.org/10.1029/2006GL029127.
    • (2007) Geophysical Research Letters , vol.34
    • Gu, Y.1    Brown, J.F.2    Verdin, J.P.3    Wardlow, B.4
  • 20
    • 60149083938 scopus 로고    scopus 로고
    • Evaluationof MODIS NDVI and NDWI for vegetation drought monitoring using Okla-homa Mesonet soil moisture data
    • Gu, Y., Hunt, E., Wardlow, B., Basara, J.B., Brown, J.F., Verdin, J.P., 2008. Evaluationof MODIS NDVI and NDWI for vegetation drought monitoring using Okla-homa Mesonet soil moisture data. Geophysical Research Letters 35, L22401,http://dx.doi.org/10.1029/2008GL035772.
    • (2008) Geophysical Research Letters , vol.35
    • Gu, Y.1    Hunt, E.2    Wardlow, B.3    Basara, J.B.4    Brown, J.F.5    Verdin, J.P.6
  • 22
    • 56949107790 scopus 로고    scopus 로고
    • Noise reduction of NDVI time series: an empiri-cal comparison of selected techniques
    • Hird, J.N., McDermid, G.J., 2009. Noise reduction of NDVI time series: an empiri-cal comparison of selected techniques. Remote Sensing of Environment 113,248-258.
    • (2009) Remote Sensing of Environment , vol.113 , pp. 248-258
    • Hird, J.N.1    McDermid, G.J.2
  • 23
    • 33947356755 scopus 로고    scopus 로고
    • The TRMM multi-satelliteprecipitation analysis: QuasiGlobal, multi-year, combined-sensor precipita-tion estimates at fine scale
    • Huffman, G.J., Adler, R.F., Bolvin, D.T., Gu, G., Nelkin, E.J., Bowman, K.P.,Hong, Y., Stocker, E.F., Wolff, D.B., 2007a. The TRMM multi-satelliteprecipitation analysis: QuasiGlobal, multi-year, combined-sensor precipita-tion estimates at fine scale. Journal of Hydrometeorology 8 (1), 38-55ftp://meso.gsfc.nasa.gov/agnes/huffman/papers/TMPA jhm 07.pdf.gz.
    • (2007) Journal of Hydrometeorology , vol.8 , Issue.1 , pp. 38-55
    • Huffman, G.J.1    Adler, R.F.2    Bolvin, D.T.3    Gu, G.4    Nelkin, E.J.5    Bowman, K.P.6    Hong, Y.7    Stocker, E.F.8    Wolff, D.B.9
  • 24
    • 84891377358 scopus 로고    scopus 로고
    • The TRMM Multi-satellite Precipitation Analysis (TMPA). Chapter 1 inSatellite Rainfall Applications for Surface Hydrology
    • Hossain, F., Gebremichael,M. (Eds.), Springer Verlag, ISBN: 978-90-481-2914-0.
    • Huffman, G.J., Adler, R.F., Bolvin, D.T., Nelkin, E.J., 2010. In: Hossain, F., Gebremichael,M. (Eds.), The TRMM Multi-satellite Precipitation Analysis (TMPA). Chapter 1 inSatellite Rainfall Applications for Surface Hydrology. Springer Verlag, pp. 3-22,ISBN: 978-90-481-2914-0.
    • (2010) , pp. 3-22
    • Huffman, G.J.1    Adler, R.F.2    Bolvin, D.T.3    Nelkin, E.J.4
  • 25
    • 79957693942 scopus 로고    scopus 로고
    • Global Rainfall Analyses at Monthly and 3-hrTime Scales. Chapter 23 of Measuring Precipitation from Space: EURAINSATand the Future
    • Levizzani,V., Bauer, P., Turk, F.J. (Eds.), Springer Verlag (Kluwer Academic Pub. B.V.), Dordrecht, TheNetherlands
    • Huffman, G.J., Adler, R.F., Curtis, S., Bolvin, D.T., Nelkin, E.J., 2007b. In: Levizzani,V., Bauer, P., Turk, F.J. (Eds.), Global Rainfall Analyses at Monthly and 3-hrTime Scales. Chapter 23 of Measuring Precipitation from Space: EURAINSATand the Future. Springer Verlag (Kluwer Academic Pub. B.V.), Dordrecht, TheNetherlands, pp. 291-306.
    • (2007) , pp. 291-306
    • Huffman, G.J.1    Adler, R.F.2    Curtis, S.3    Bolvin, D.T.4    Nelkin, E.J.5
  • 26
    • 84897865266 scopus 로고    scopus 로고
    • Last updated2012: TRMM Version 7 3B42 and 3B43 Data Sets. NASA/GSFC, Greenbelt, MD
    • Huffman, G.J., Stocker, E.F., Bolvin, D.T., Nelkin, E.J., Adler, R.F., 2012. Last updated2012: TRMM Version 7 3B42 and 3B43 Data Sets. NASA/GSFC, Greenbelt, MDhttp://mirador.gsfc.nasa.gov/cgibin/mirador/presentNavigation.pl?tree=project&project=TRMM&dataGroup=Gridded&CGISESSID=5d12e2ffa38ca2aac6262202a79d882a
    • (2012)
    • Huffman, G.J.1    Stocker, E.F.2    Bolvin, D.T.3    Nelkin, E.J.4    Adler, R.F.5
  • 27
    • 36549072572 scopus 로고    scopus 로고
    • The Physical Science Basis. Contribution of WorkingGroup I to the Fourth Assessment Report of the Intergovernmental Panel onClimate Change
    • IPCC, In: Solomon, S., Qin, D., Manning, M., Chen, Z., Marquis, M., Averyt, K.B.,Tignor, M., Miller, H.L. (Eds.), Cambridge University Press, Cambridge, United Kingdom/NewYork, NY, USA
    • IPCC, 2007. In: Solomon, S., Qin, D., Manning, M., Chen, Z., Marquis, M., Averyt, K.B.,Tignor, M., Miller, H.L. (Eds.), The Physical Science Basis. Contribution of WorkingGroup I to the Fourth Assessment Report of the Intergovernmental Panel onClimate Change. Cambridge University Press, Cambridge, United Kingdom/NewYork, NY, USA, p. 996.
    • (2007) , pp. 996
  • 28
    • 34247618243 scopus 로고    scopus 로고
    • Use of TRMM in determining the climatic char-acteristics of rainfall over Bangladesh
    • Islam, M.N., Uyeda, H., 2007. Use of TRMM in determining the climatic char-acteristics of rainfall over Bangladesh. Remote Sensing of Environment 108,264-276.
    • (2007) Remote Sensing of Environment , vol.108 , pp. 264-276
    • Islam, M.N.1    Uyeda, H.2
  • 29
    • 4444342117 scopus 로고    scopus 로고
    • Vegetation water content mapping using Landsat data derived normalizeddifference water index for corn and soybeans
    • 30 September.
    • Jackson, T.J., Cosh, D.C.M., Li, F., Anderson, M., Walthall, C., Doriaswamy, P., Hunt, E.R.,2004. Vegetation water content mapping using Landsat data derived normalizeddifference water index for corn and soybeans. Remote Sensing of Environment92 (4), 475-482, 30 September.
    • (2004) Remote Sensing of Environment , vol.92 , Issue.4 , pp. 475-482
    • Jackson, T.J.1    Cosh, D.C.M.2    Li, F.3    Anderson, M.4    Walthall, C.5    Doriaswamy, P.6    Hunt, E.R.7
  • 30
    • 84897907766 scopus 로고    scopus 로고
    • Contribution of remote sensing to drought early warning
    • Wilhite, D.A., Sivakumar, M.V.K., Wood, D.A. (Eds.), Lisboa, Portugal, 86-100.
    • Kogan, F.N., 2000. Contribution of remote sensing to drought early warning. In:Wilhite, D.A., Sivakumar, M.V.K., Wood, D.A. (Eds.), Improving Drought EarlyWarning Systems in the Context of Drought Preparedness and Mitigation. , pp.65-85, Lisboa, Portugal, 86-100.
    • (2000) Improving Drought EarlyWarning Systems in the Context of Drought Preparedness and Mitigation , pp. 65-85
    • Kogan, F.N.1
  • 31
    • 0029500220 scopus 로고
    • Droughts of the late 1980 in the United States as derived fromNOAA polar-orbiting satellite data
    • Kogan, F.N., 1995a. Droughts of the late 1980 in the United States as derived fromNOAA polar-orbiting satellite data. Bulletin of the American Meteorological Soci-ety 76 (5), 655-668.
    • (1995) Bulletin of the American Meteorological Society , vol.76 , Issue.5 , pp. 655-668
    • Kogan, F.N.1
  • 34
    • 0028833901 scopus 로고
    • Application of vegetation index and brightness temperature fordrought detection
    • Kogan, F.N., 1995b. Application of vegetation index and brightness temperature fordrought detection. Advances in Space Research 11, 91-100.
    • (1995) Advances in Space Research , vol.11 , pp. 91-100
    • Kogan, F.N.1
  • 35
    • 33746370397 scopus 로고    scopus 로고
    • Comparing Raster map comparison algorithmsfor spatial modeling and analysis
    • Kuhnert, M., Alexey, V., Ralf, S., 2005. Comparing Raster map comparison algorithmsfor spatial modeling and analysis. Photogrammetric Engineering and RemoteSensing 71 (8), 975-984.
    • (2005) Photogrammetric Engineering and RemoteSensing , vol.71 , Issue.8 , pp. 975-984
    • Kuhnert, M.1    Alexey, V.2    Ralf, S.3
  • 38
    • 0001895140 scopus 로고
    • The relationship of drought frequency andduration to time scales
    • Preprints, 8th Conference on Applied Climatology, 17-22 January 1993, Anaheim, CA
    • McKee, T.B., Doesken, N.J., Kleist, J., 1993. The relationship of drought frequency andduration to time scales. In: Preprints, 8th Conference on Applied Climatology,17-22 January 1993, Anaheim, CA, pp. 179-184.
    • (1993) , pp. 179-184
    • McKee, T.B.1    Doesken, N.J.2    Kleist, J.3
  • 39
    • 0001170158 scopus 로고
    • Drought monitoring with multiple timescales
    • Preprints, 9th Conference on Applied Climatology, January 15-20,Dallas, TX
    • McKee, T.B., Doesken, N.J., Kleist, J., 1995. Drought monitoring with multiple timescales. In: Preprints, 9th Conference on Applied Climatology, January 15-20,Dallas, TX, pp. 233-236.
    • (1995) , pp. 233-236
    • McKee, T.B.1    Doesken, N.J.2    Kleist, J.3
  • 40
    • 81555222527 scopus 로고    scopus 로고
    • Assessment of geostatisti-cal methods for spatial analysis of SPI and EDI Drought Indices
    • Mozafari, G.A., Khosravi, Y., Abbasi, E., Tavakoli, F., 2011. Assessment of geostatisti-cal methods for spatial analysis of SPI and EDI Drought Indices. World AppliedSciences Journal 15 (4), 474-482.
    • (2011) World AppliedSciences Journal , vol.15 , Issue.4 , pp. 474-482
    • Mozafari, G.A.1    Khosravi, Y.2    Abbasi, E.3    Tavakoli, F.4
  • 43
    • 0004198495 scopus 로고
    • U.S. Department of CommerceWeather Bureau Research Paper No. 45.
    • Palmer, W.C., 1965. Meteorological drought., pp. 58, U.S. Department of CommerceWeather Bureau Research Paper No. 45.
    • (1965) Meteorological drought , pp. 58
    • Palmer, W.C.1
  • 45
    • 79956324768 scopus 로고    scopus 로고
    • Death to Kappa: birth of quantity disagreementand allocation disagreement for accuracy assessment
    • Pontius Jr., R.G., Millones, M., 2011. Death to Kappa: birth of quantity disagreementand allocation disagreement for accuracy assessment. International Journal ofRemote Sensing 32 (15), 4407-4429.
    • (2011) International Journal ofRemote Sensing , vol.32 , Issue.15 , pp. 4407-4429
    • Pontius Jr., R.G.1    Millones, M.2
  • 46
    • 84897864969 scopus 로고
    • Modeling Tropical Land Use Change and Assessing Policies toReduce Carbon Dioxide Release from Africa, Graduate Program in EnvironmentalScience. SUNY-ESF, Syracuse, NY
    • Pontius, R.G., 1994. Modeling Tropical Land Use Change and Assessing Policies toReduce Carbon Dioxide Release from Africa, Graduate Program in EnvironmentalScience. SUNY-ESF, Syracuse, NY, pp. 177.
    • (1994) , pp. 177
    • Pontius, R.G.1
  • 47
    • 0343303373 scopus 로고    scopus 로고
    • Quantification error versus location error in comparisonof categorical maps
    • Pontius Jr., R.G., 2000. Quantification error versus location error in comparisonof categorical maps. Photogrammetric Engineering and Remote Sensing 66,1011-1016.
    • (2000) Photogrammetric Engineering and Remote Sensing , vol.66 , pp. 1011-1016
    • Pontius Jr., R.G.1
  • 48
    • 76749126578 scopus 로고    scopus 로고
    • Evaluating the utility of the, Vegetation ConditionIndex (VCI) for monitoring meteorological drought in Texas
    • Quiring, S.M., Ganesh, S., 2010. Evaluating the utility of the, Vegetation ConditionIndex (VCI) for monitoring meteorological drought in Texas. Agricultural andForest Meteorology 150, 330-339.
    • (2010) Agricultural andForest Meteorology , vol.150 , pp. 330-339
    • Quiring, S.M.1    Ganesh, S.2
  • 49
    • 77956873550 scopus 로고    scopus 로고
    • Monitoring agricultural drought for arid and humidregions using multi-sensor remote sensing data
    • Rhee, J., Im, J., Carbone, G.J., 2010. Monitoring agricultural drought for arid and humidregions using multi-sensor remote sensing data. Remote Sensing of Environ-ment 114, 2875-2887.
    • (2010) Remote Sensing of Environ-ment , vol.114 , pp. 2875-2887
    • Rhee, J.1    Im, J.2    Carbone, G.J.3
  • 50
    • 78650922411 scopus 로고    scopus 로고
    • Assessing drought probability for agricul-tural areas in Africa with coarse resolution remote sensing imagery
    • 15 February.
    • Rojas, O., Vrieling, A., Rembold, F., 2011. Assessing drought probability for agricul-tural areas in Africa with coarse resolution remote sensing imagery. RemoteSensing of Environment 115 (2), 343-352, 15 February.
    • (2011) RemoteSensing of Environment , vol.115 , Issue.2 , pp. 343-352
    • Rojas, O.1    Vrieling, A.2    Rembold, F.3
  • 51
    • 0002872223 scopus 로고
    • Monitoring vegetation sys-tems in the great plain with ERTS
    • US Governement Printing Office, NASA, Washington, DC
    • Rouse, J.W., Haas, R.H., Schell, J.A., Deering, D.W.,1973. Monitoring vegetation sys-tems in the great plain with ERTS. In: Proceedings of the 3rd ERTS Symposium.US Governement Printing Office, NASA, Washington, DC, pp. 309-317.
    • (1973) Proceedings of the 3rd ERTS Symposium , pp. 309-317
    • Rouse, J.W.1    Haas, R.H.2    Schell, J.A.3    Deering, D.W.4
  • 52
    • 0344256438 scopus 로고    scopus 로고
    • Vegetation and temperature condition indicesfrom NOAA-AVHRRA data for drought monitoring over India
    • Singh, R.P., Roy, S., Kogan, F.N., 2003. Vegetation and temperature condition indicesfrom NOAA-AVHRRA data for drought monitoring over India. International Jour-nal of Remote Sensing 24 (22), 4393-4402.
    • (2003) International Jour-nal of Remote Sensing , vol.24 , Issue.22 , pp. 4393-4402
    • Singh, R.P.1    Roy, S.2    Kogan, F.N.3
  • 54
    • 67650242179 scopus 로고    scopus 로고
    • Assessment of rainfall andNDVI anomalies in Spain (1989-1999) using distributed lag models
    • Udelhoven, T., Stellmes, M., del Barrio, G., Hill, J., 2009. Assessment of rainfall andNDVI anomalies in Spain (1989-1999) using distributed lag models. Interna-tional Journal of Remote Sensing 30 (8), 1961-1976.
    • (2009) Interna-tional Journal of Remote Sensing , vol.30 , Issue.8 , pp. 1961-1976
    • Udelhoven, T.1    Stellmes, M.2    del Barrio, G.3    Hill, J.4
  • 55
    • 84897836333 scopus 로고    scopus 로고
    • WMO. Copenhagen déclaration, Geneva, 15 December 2009. Press release No.872
    • WMO, 2009. Copenhagen déclaration, Geneva, 15 December 2009. Press release No.872 http://www.wmo.int/pages/mediacentre/press releases/pr 872 en.html
    • (2009)
  • 57
    • 84880279171 scopus 로고    scopus 로고
    • Establishing and assessingthe Integrated Surface Drought Index (ISDI) for agricultural drought monitoringin mid-eastern China
    • August.
    • Wu, J., Zhou, L., Liu, M., Zhang, J., Leng, S., Diao, C., 2013. Establishing and assessingthe Integrated Surface Drought Index (ISDI) for agricultural drought monitoringin mid-eastern China. International Journal of Applied Earth Observation andGeoinformation 23, 397-410, August.
    • (2013) International Journal of Applied Earth Observation andGeoinformation , vol.23 , pp. 397-410
    • Wu, J.1    Zhou, L.2    Liu, M.3    Zhang, J.4    Leng, S.5    Diao, C.6
  • 58
    • 84875595745 scopus 로고    scopus 로고
    • Monitoring meteorological drought in semiarid regions usingmulti-sensor microwave remote sensing data
    • July
    • Zhang, A., Jia, G., 2013. Monitoring meteorological drought in semiarid regions usingmulti-sensor microwave remote sensing data. Remote Sensing of Environment134, 12-23, July.
    • (2013) Remote Sensing of Environment , vol.134 , pp. 12-23
    • Zhang, A.1    Jia, G.2


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