Upper Paraguay River inundation prediction using rainfall and NDVI

International Journal of Remote Sensing

Volumn 26, Issue 20, 2005, Pages 4455-4470

  Liu, W T ^a   Ayres, F M ^a  

^a UNIVERSIDADE CATÓLICA DOM BOSCO   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

FORESTRY; RADAR SYSTEMS; RAIN; RIVERS; WATER LEVELS; WATERSHEDS; WEATHER FORECASTING;

DIGITAL ELEVATION MODEL; HYDROLOGICAL SIMULATIONS; INTERANNUAL VARIATION; NORMALIZED DIFFERENCE VEGETATION INDEX; RAINFALL FORECASTING; RIVER TRANSPORTATION; STATISTICAL APPROACH; UPPER PARAGUAY RIVER BASINS;

FLOODS;

EID: 77951786138     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160500033773     Document Type: Article

References (16)

1. DNMET, 1992, Normais Climatológicas (1961-1990). Departamento Nacional de Meteorologia, Ministério da Agricultura e Reforma Agrária, Brasi{dotless}́lia, Brasil.
2. Eidenshink, J.C. and Faundeen, J.L., 1997, The 1-km AVHRR global land data set: first stages in implementation. International Journal of Remote Sensing, 18, pp. 39-56.
3. Fleig, A.J., Heath, D.F., Klenk, K.F., Oslik, N., Lee, K.D., Park, H., Bartia, P.K. and Bartia, D., 1983, User's guide for the Solar Backscattered Ultraviolet (SBUV) and the Total Ozone Main Spectrometer (TOMS) RUT-S and RUT-T data set: October 31, 1978 to November 1980. NASA Reference Publication no. 1112.
4. Galdino, S. and Clarke, R.T., 1997, Probabilidade de ocorrência de cheia no Rio Paraguai, em Ladário. MS-Pantanal. 1997. Circulação Técnica no. 23, EMBRAPA-CPAP, Corumbá, MS.
5. Giddlings, L. and Choudhury, B.J., 1989, Observation of hydrological features with Nimbus-7 37 HGz data, applied to South America. International Journal of Remote Sensing, 10, pp. 1673-1686.
6. Gordon, H.R., Brown, J.W. and Evans, R.H., 1988, Exact Rayleigh scattering calculations for use with the Nimbus-7 coastal zone colour scanner. Applied Optics, 27, pp. 2111-2122.
7. Hamilton, S.K., Sippel, S.J. and Melack, J.M., 1996, Inundation patterns in the Pantanal wetland of South America determined from passive microwave remote sensing. Archeological Hydrobiology, 137, pp. 1-23.
8. Kidwell, 1995, NOAA Polar Orbiter data users guide. Satellite Data Service Division, NESDIS/NOAA, Washington, DC, USA.
9. Klammer, G.K.B., 1982, Die Paläowüste des Pantanal von Mato Grosso und die Pleistozäne Klimageschichte der brasilianischen Randtropen. Zeitschriftfür Geomorphology, 26, pp. 393-416.
10. Liu, W.T.H. and Kogan, F., 1996, Monitoring regional drought using vegetation condition index. International Journal of Remote Sensing, 17, pp. 2761-2782.
11. Liu, W.T.H. and Juarez, R.N., 2001, ENSO drought prediction of Northeast Brazil using NDVI. International Journal of Remote Sensing, 22, pp. 3483-3501.
12. Liu, W.T.H., Massambani, O. and Nobre, C., 1994, Satellite vegetation response to drought in Brazil. International Journal of Climatology, 14, pp. 343-354.
13. Liu, W.T.H., Ayres, F.M., Salles, A.T. and Padovani, C., 2002, Upper Paraguay river water level prediction using NOAA AVHRR NDVI. In Proceedings of the First International Symposium 'Recent Advances in Quantitative Remote Sensing'. Torrent, Valencia, Spain, (Valencia, Spain: University of Valencia), pp. 93-99.
14. Mittermeier, R.A., Camara, I.G., Padua, M.T.J. and Blanck, J., 1990, Conservation in the Pantanal of Brazil. Oryx, 24, pp. 103-112.
15. Rao, C.R.N. and Chen, J., 1995, Inter-satellite calibration linkages for the visible and nearinfrared channels of the Advanced Very High Resolution Radiometer on the NOAA-7,-9, and-11 spacecrafts. International Journal of Remote Sensing, 16, pp. 1931-1942.
16. Welcomme, R.L., 1995, River fisheries. FAO Fisheries Technical Paper no. 262, Food and Agriculture Organization of the United Nations, Rome, Italy.