메뉴 건너뛰기




Volumn 65, Issue 3, 2013, Pages 1393-1409

Dynamic risk assessment of drought disaster for maize based on integrating multi-sources data in the region of the northwest of Liaoning Province, China

Author keywords

Data mining; Drought disaster dynamic risk assessment; GIS; MODIS; Multi sources data; VCI

Indexed keywords

AGRICULTURE; DATA MINING; DISASTER MANAGEMENT; DROUGHT; GIS; MAIZE; MODIS; REMOTE SENSING; RISK ASSESSMENT;

EID: 84871932084     PISSN: 0921030X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11069-012-0416-x     Document Type: Article
Times cited : (45)

References (40)
  • 1
    • 42049083323 scopus 로고    scopus 로고
    • Using AVHRR-based vegetation indices for drought monitoring in the Northwest of Iran
    • Bajgiran PR, Darvishsefat AA et al (2008) Using AVHRR-based vegetation indices for drought monitoring in the Northwest of Iran. J Arid Environ 72: 1086-1096.
    • (2008) J Arid Environ , vol.72 , pp. 1086-1096
    • Bajgiran, P.R.1    Darvishsefat, A.A.2
  • 4
    • 84871931003 scopus 로고    scopus 로고
    • Risk analysis of agricultural drought for winter wheat during growing period in Anhui Province
    • (in Chinese)
    • Chen XY, Ma XQ, Sun XB (2008) Risk analysis of agricultural drought for winter wheat during growing period in Anhui Province. Chin J Agrometeorol 29: 472-476 (in Chinese).
    • (2008) Chin J Agrometeorol , vol.29 , pp. 472-476
    • Chen, X.Y.1    Ma, X.Q.2    Sun, X.B.3
  • 7
    • 34247584087 scopus 로고    scopus 로고
    • Drought forecasting using the standardized precipitation index
    • Di Cancelliere A, Mauro G, Bonaccorso B et al (2007) Drought forecasting using the standardized precipitation index. Water Resour Manage 21: 801-819.
    • (2007) Water Resour Manage , vol.21 , pp. 801-819
    • Di Cancelliere, A.1    Mauro, G.2    Bonaccorso, B.3
  • 9
    • 84863157029 scopus 로고    scopus 로고
    • Comparative study on BP neural network and RBF neural network in performance evaluation of seismic resistance for pier columns
    • (in Chinese)
    • Feng QH, Yuan WC (2007) Comparative study on BP neural network and RBF neural network in performance evaluation of seismic resistance for pier columns. Struct Eng 23(41-47): 69 (in Chinese).
    • (2007) Struct Eng , vol.23 , Issue.41-47 , pp. 69
    • Feng, Q.H.1    Yuan, W.C.2
  • 10
    • 0032428981 scopus 로고    scopus 로고
    • Using AVHRR data for quantitative estimation of vegetation conditions: calibration and validation
    • Gitelson AA, Kogan F, Zakarin E et al (1998) Using AVHRR data for quantitative estimation of vegetation conditions: calibration and validation. Adv Space Rrs 22(5): 613-676.
    • (1998) Adv Space Rrs , vol.22 , Issue.5 , pp. 613-676
    • Gitelson, A.A.1    Kogan, F.2    Zakarin, E.3
  • 11
    • 80052816030 scopus 로고    scopus 로고
    • An improvement of the vegetation condition index with applications to the drought monitoring in Northwest China
    • (in Chinese)
    • Guo N, Guan XD (2007) An improvement of the vegetation condition index with applications to the drought monitoring in Northwest China. Adv Earth Sci 22: 1160-1168 (in Chinese).
    • (2007) Adv Earth Sci , vol.22 , pp. 1160-1168
    • Guo, N.1    Guan, X.D.2
  • 12
    • 0032910542 scopus 로고    scopus 로고
    • Accepting the standardized precipitation index: a calculation algorithm
    • Guttman NB (1999) Accepting the standardized precipitation index: a calculation algorithm. J Am Water Resour As 35: 311-322.
    • (1999) J Am Water Resour As , vol.35 , pp. 311-322
    • Guttman, N.B.1
  • 13
    • 0008111767 scopus 로고    scopus 로고
    • Using satellite and real-time weather data to predict maize production
    • Hayes MJ, Decker WL (1998) Using satellite and real-time weather data to predict maize production. Int J Biometeorol 42: 10-15.
    • (1998) Int J Biometeorol , vol.42 , pp. 10-15
    • Hayes, M.J.1    Decker, W.L.2
  • 14
    • 0004827339 scopus 로고    scopus 로고
    • Monitoring drought using the standardized precipitation index
    • D. A. Wilhite (Ed.), London: Routledge
    • Hayes MJ, Svoboda M, Wilhite DA (2000) Monitoring drought using the standardized precipitation index. In: Wilhite DA (ed) In drought: a global assessment. Routledge, London, pp 168-180.
    • (2000) In Drought: A Global Assessment , pp. 168-180
    • Hayes, M.J.1    Svoboda, M.2    Wilhite, D.A.3
  • 15
    • 84888360329 scopus 로고    scopus 로고
    • The characteristics of disaster risk and risk management strategy
    • (in Japanese)
    • Hirokazu T (2000) The characteristics of disaster risk and risk management strategy. Pap Soc Technol Res 2003(1): 141-148 (in Japanese).
    • (2000) Pap Soc Technol Res , vol.2003 , Issue.1 , pp. 141-148
    • Hirokazu, T.1
  • 16
    • 0142027915 scopus 로고    scopus 로고
    • Assessing vegetation response to drought in the northern Great Plains using vegetation and drought indices
    • Ji L, Peters A (2003) Assessing vegetation response to drought in the northern Great Plains using vegetation and drought indices. Remote Sens Environ 87: 85-98.
    • (2003) Remote Sens Environ , vol.87 , pp. 85-98
    • Ji, L.1    Peters, A.2
  • 17
    • 0025656868 scopus 로고
    • Remote sensing of weather impacts on vegetation in non-homogeneous areas
    • Kogan FN (1990) Remote sensing of weather impacts on vegetation in non-homogeneous areas. Int J Remote Sens 11: 1405-1419.
    • (1990) Int J Remote Sens , vol.11 , pp. 1405-1419
    • Kogan, F.N.1
  • 18
    • 84871934094 scopus 로고
    • NOAA plays leadership role in developing satellite technology for drought watch
    • Kogan FN (1994) NOAA plays leadership role in developing satellite technology for drought watch. Earth Obs Mag 11: 1405-1409.
    • (1994) Earth Obs Mag , vol.11 , pp. 1405-1409
    • Kogan, F.N.1
  • 19
    • 0028833901 scopus 로고
    • Application of vegetation index and brightness temperature for drought detection
    • Kogan FN (1995a) Application of vegetation index and brightness temperature for drought detection. Adv Space Res 11: 91-100.
    • (1995) Adv Space Res , vol.11 , pp. 91-100
    • Kogan, F.N.1
  • 20
    • 0029500220 scopus 로고
    • Droughts of the late 1980s in the United States as derived from NOAA polar orbiting satellite data
    • Kogan FN (1995b) Droughts of the late 1980s in the United States as derived from NOAA polar orbiting satellite data. Bull Am Meteor Soc 76: 655-688.
    • (1995) Bull Am Meteor Soc , vol.76 , pp. 655-688
    • Kogan, F.N.1
  • 21
    • 3242698018 scopus 로고    scopus 로고
    • Derivation of pasture biomass in Mongolia from AVHRR-based vegetation health indices
    • Kogan FN, Stark R, Gitelson A et al (2004) Derivation of pasture biomass in Mongolia from AVHRR-based vegetation health indices. Int J Remote Sens 25: 2889-2996.
    • (2004) Int J Remote Sens , vol.25 , pp. 2889-2996
    • Kogan, F.N.1    Stark, R.2    Gitelson, A.3
  • 22
    • 80053196814 scopus 로고    scopus 로고
    • Study on drought index model of arid area in Central Guangxi based on MODIS Data
    • (in Chinese)
    • Kuang ZM, Zhu WJ, Yang X et al (2007) Study on drought index model of arid area in Central Guangxi based on MODIS Data. J Nanjing Inst Meteorol 30: 352-358 (in Chinese).
    • (2007) J Nanjing Inst Meteorol , vol.30 , pp. 352-358
    • Kuang, Z.M.1    Zhu, W.J.2    Yang, X.3
  • 24
    • 0030235967 scopus 로고    scopus 로고
    • Monitoring regional drought using the vegetation condition index
    • Liu WT, Kogan FN (1996) Monitoring regional drought using the vegetation condition index. Int J Remote Sens 17: 2761-2782.
    • (1996) Int J Remote Sens , vol.17 , pp. 2761-2782
    • Liu, W.T.1    Kogan, F.N.2
  • 28
    • 33747343401 scopus 로고    scopus 로고
    • Methodology to retrieve land surface temperature from MODIS data for agricultural drought monitoring in China
    • (in Chinese)
    • Qin ZH, Gao MF, Qin XM et al (2005) Methodology to retrieve land surface temperature from MODIS data for agricultural drought monitoring in China. J Nat Disasters 14: 64-71 (in Chinese).
    • (2005) J Nat Disasters , vol.14 , pp. 64-71
    • Qin, Z.H.1    Gao, M.F.2    Qin, X.M.3
  • 29
    • 0022267354 scopus 로고
    • Satellite remote sensing of drought conditions
    • Tucker CJ, Choudhury BJ (1987) Satellite remote sensing of drought conditions. Remote Sens Environ 17: 233-249.
    • (1987) Remote Sens Environ , vol.17 , pp. 233-249
    • Tucker, C.J.1    Choudhury, B.J.2
  • 30
    • 33744962776 scopus 로고    scopus 로고
    • UN/ISDR (United National International Strategy for Disaster Reduction), Geneva: UN/ISDR
    • UN/ISDR (United National International Strategy for Disaster Reduction) (2007) Living with risk: a global review of disaster reduction initiatives. UN/ISDR, Geneva.
    • (2007) Living with Risk: A Global Review of Disaster Reduction Initiatives
  • 31
    • 0032010538 scopus 로고    scopus 로고
    • Drought monitoring and corn yield estimation in Southern Africa from AVHRR data
    • Unganai LS, Kogan FN (1998) Drought monitoring and corn yield estimation in Southern Africa from AVHRR data. Remote Sens Environ 63: 219-232.
    • (1998) Remote Sens Environ , vol.63 , pp. 219-232
    • Unganai, L.S.1    Kogan, F.N.2
  • 32
    • 84871934097 scopus 로고
    • The application of ARMA model of time series in long-term prediction on drought
    • (in Chinese)
    • Wang CY, An SQ, Pan YR (1989) The application of ARMA model of time series in long-term prediction on drought. Chin J Agrometeorol 10: 58-61 (in Chinese).
    • (1989) Chin J Agrometeorol , vol.10 , pp. 58-61
    • Wang, C.Y.1    An, S.Q.2    Pan, Y.R.3
  • 33
    • 3342994875 scopus 로고    scopus 로고
    • An operational agricultural drought risk assessment model for Nebraska, USA
    • Wu H, Wilhite DA (2004) An operational agricultural drought risk assessment model for Nebraska, USA. Nat Hazards 33: 1-21.
    • (2004) Nat Hazards , vol.33 , pp. 1-21
    • Wu, H.1    Wilhite, D.A.2
  • 34
    • 0035334983 scopus 로고    scopus 로고
    • An evaluation of the standardized precipitation index, the China-Z index and the statistical Z-score
    • Wu H, Hayes MJ, Weiss A et al (2001) An evaluation of the standardized precipitation index, the China-Z index and the statistical Z-score. Int J Climatol 21: 745-758.
    • (2001) Int J Climatol , vol.21 , pp. 745-758
    • Wu, H.1    Hayes, M.J.2    Weiss, A.3
  • 35
    • 27744506428 scopus 로고    scopus 로고
    • Electronic Industry Press, Beijing, (in Chinese)
    • Xu LN (2003) Neural network control. Electronic Industry Press, Beijing, pp 50-53 (in Chinese).
    • (2003) Neural network control , pp. 50-53
    • Xu, L.N.1
  • 36
    • 0033867340 scopus 로고    scopus 로고
    • Standardized precipitation index and nitrogen rate effects on crop yields and risk distribution in maize
    • Yamoah CF, Walters DT, Shapiro CA et al (2000) Standardized precipitation index and nitrogen rate effects on crop yields and risk distribution in maize. Agric Ecosyst Environ 80: 113-120.
    • (2000) Agric Ecosyst Environ , vol.80 , pp. 113-120
    • Yamoah, C.F.1    Walters, D.T.2    Shapiro, C.A.3
  • 37
    • 1542351526 scopus 로고    scopus 로고
    • Risk assessment of drought disaster in the maize-growing region of Songliao Plain, China
    • Zhang JQ (2004) Risk assessment of drought disaster in the maize-growing region of Songliao Plain, China. Agric Ecosyst Environ 102: 133-153.
    • (2004) Agric Ecosyst Environ , vol.102 , pp. 133-153
    • Zhang, J.Q.1
  • 38
    • 35548967988 scopus 로고    scopus 로고
    • Integrated natural disaster risk management: comprehensive and integrated model and Chinese strategy choice
    • (in Chinese)
    • Zhang JQ, Norio O, Hirokazu T (2006) Integrated natural disaster risk management: comprehensive and integrated model and Chinese strategy choice. J Nat Disasters 15: 29-37 (in Chinese).
    • (2006) J Nat Disasters , vol.15 , pp. 29-37
    • Zhang, J.Q.1    Norio, O.2    Hirokazu, T.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.