7 Land-use and Catchment Characteristics
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http://www.info.usaid.gov/fews/fews.html
Fu and Mui (1981). A survey on image segmentation, Pattern Recognition, 13:3-16, 1981
Gorte, B.G.H. (1996). Multi-spectral quadtree based image segmentation. IAPRS vol. XXXI
B3, Vienna, pp. 251-256
Gorte, B.G.H. (1998). Probabilistic segmentation of remotely sensed images, Ph.D. thesis,
Wageningen Agric. Univ., the Netherlands
Gorte, B.G.H. (1999), Change detection by classification of a multi-temporal image. Accepted for publication in: ISD'99 - Integrated Spatial Databases: Digital Images and GIS.
Volume Editor(s): Peggy Agouris & Anthony Stefanidis, Springer Verlag
Gorte, B.G.H. and A. Stein (1998). Bayesian Classification and Class Area Estimation of
Satellite Images using Stratification, IEEE Trans. Geosci. Remote Sens., Vol. 36, No.3,
May 1998, pp. 803 - 812
Haralick, R.M. and L.G. Shapiro (1985). Survey: Image segmentation techniques. Computer,
Vision, Graphics and Image Processing, 29, pp. 100-132
Hernandez, Filho P., Ponzoni, EJ., Pereira, M.N., Pott, A., Pott, V.I. and Silva, M.P (1995).
Mapeamento da vegeta~1io e de uso da terra de parte a bacia do Alto Taquari (MS) considerando 0 procedimentode analise visual de imagens TM/LANDSAT e HRV/sPOT. In:
Encontro sobre sensoriamento remoto aplicado a estudos no Pantanal - Livro de Resumas.
Corumba - MS, 9-12 de Outobro de 1995, 137-139
Hess L.L., J.M. Melack, S. Filoso and Y. Wang (1995). Delineation of inundated area and
vegetation along the Amazon floodplain with the SIR-C synthetic aperture radar. IEEE
Trans. Geosci. Remote Sens. 33, pp. 896-904
Hoekman, D.H. (1990). Radar remote sensing data for applications in forestry. Publ. Ph.D.
thesis, Wageningen Agric. Univ., the Netherlands
Hussin, Y.A. and S.R. Shaker (1996). Optical and radar satellite image fusion techniques
and their applications in monitoring natural resources and land use changes. Int. J. of
Electronics and Communications. vol. 50, no.2, 169-176
Kasischke, E.S., J.M. Melack and M.e. Dobson (1997). The use of imaging radars for ecological applications - a review. Remote Sens. Environ. 59: 141-156
Kouwen, E.D., A. Soukis, A. Pietroniro, J, Donald, R.A. Harrington (1990). Flash flood forecasting with a rainfall runoff model designed for remote sensing inputs and geographic
information system. Proc. Int. Symp. R.S. and Water Resources, IASlNeth. Soc. R.S. pp.
805-814
Lyon, J.G., Ding Yuan, R.S. Lunetta and e.D. Elvidge (1998). A change detection experiment
using vegetation indices. Photogrammetric Engineering & Remote Sensing, Vol. 64, No.
2,pp.143-150
Mather, P.M. (1987). Computer processing of remotely-sensed images, an introduction, Wiley
Meijerink, A.M.J. and B.H.P. Maathuis (1997). Use of Remote Sensing to assess flood damage to rice lands caused by accelerated erosion and neo-tectonics, Komering River, Sumatra. River Flood Disasters. Proc. ICSU SCIIDNDR. IHP/OHP-Berichte, Sonderheft 10,
Kob1enz, pp. 97-105
Middelkoop, H. and L.L.E Janssen (1991). Implementation of temporal relationships in
knowledge based classification or satellite images. Photogrammetric Engineering & Remote Sensing, Vol. 57, No.7, pp. 937 - 945
Pope, K.O., E. Rejmankova, J.E Paris and R. Woodruff (1997). Detecting seasonal flooding
cycles in marshes of the Yucatan peninsula with SIR-C polarimetric radar imagery. Remote
Sens, Environ. 59: 157-166
Ray, T. W. (1994). A FAQ on Vegetation in Remote Sensing, Div. of Geological and Planetary
Sciences, California Institute of Technology,
ftp://kepler.gps.caltech.edu/pub/terrill/rsvegfaq.txt
Richardson, A. and J. Everitt (1992). Using spectral vegetation indices to estimate rangeland
productivity, Geocarto International, 1 :73-77
155
FEWS Bulletin(1996). United States Agency for International Development (US AID),
http://www.info.usaid.gov/fews/fews.html
Fu and Mui (1981). A survey on image segmentation, Pattern Recognition, 13:3-16, 1981
Gorte, B.G.H. (1996). Multi-spectral quadtree based image segmentation. IAPRS vol. XXXI
B3, Vienna, pp. 251-256
Gorte, B.G.H. (1998). Probabilistic segmentation of remotely sensed images, Ph.D. thesis,
Wageningen Agric. Univ., the Netherlands
Gorte, B.G.H. (1999), Change detection by classification of a multi-temporal image. Accepted for publication in: ISD'99 - Integrated Spatial Databases: Digital Images and GIS.
Volume Editor(s): Peggy Agouris & Anthony Stefanidis, Springer Verlag
Gorte, B.G.H. and A. Stein (1998). Bayesian Classification and Class Area Estimation of
Satellite Images using Stratification, IEEE Trans. Geosci. Remote Sens., Vol. 36, No.3,
May 1998, pp. 803 - 812
Haralick, R.M. and L.G. Shapiro (1985). Survey: Image segmentation techniques. Computer,
Vision, Graphics and Image Processing, 29, pp. 100-132
Hernandez, Filho P., Ponzoni, EJ., Pereira, M.N., Pott, A., Pott, V.I. and Silva, M.P (1995).
Mapeamento da vegeta~1io e de uso da terra de parte a bacia do Alto Taquari (MS) considerando 0 procedimentode analise visual de imagens TM/LANDSAT e HRV/sPOT. In:
Encontro sobre sensoriamento remoto aplicado a estudos no Pantanal - Livro de Resumas.
Corumba - MS, 9-12 de Outobro de 1995, 137-139
Hess L.L., J.M. Melack, S. Filoso and Y. Wang (1995). Delineation of inundated area and
vegetation along the Amazon floodplain with the SIR-C synthetic aperture radar. IEEE
Trans. Geosci. Remote Sens. 33, pp. 896-904
Hoekman, D.H. (1990). Radar remote sensing data for applications in forestry. Publ. Ph.D.
thesis, Wageningen Agric. Univ., the Netherlands
Hussin, Y.A. and S.R. Shaker (1996). Optical and radar satellite image fusion techniques
and their applications in monitoring natural resources and land use changes. Int. J. of
Electronics and Communications. vol. 50, no.2, 169-176
Kasischke, E.S., J.M. Melack and M.e. Dobson (1997). The use of imaging radars for ecological applications - a review. Remote Sens. Environ. 59: 141-156
Kouwen, E.D., A. Soukis, A. Pietroniro, J, Donald, R.A. Harrington (1990). Flash flood forecasting with a rainfall runoff model designed for remote sensing inputs and geographic
information system. Proc. Int. Symp. R.S. and Water Resources, IASlNeth. Soc. R.S. pp.
805-814
Lyon, J.G., Ding Yuan, R.S. Lunetta and e.D. Elvidge (1998). A change detection experiment
using vegetation indices. Photogrammetric Engineering & Remote Sensing, Vol. 64, No.
2,pp.143-150
Mather, P.M. (1987). Computer processing of remotely-sensed images, an introduction, Wiley
Meijerink, A.M.J. and B.H.P. Maathuis (1997). Use of Remote Sensing to assess flood damage to rice lands caused by accelerated erosion and neo-tectonics, Komering River, Sumatra. River Flood Disasters. Proc. ICSU SCIIDNDR. IHP/OHP-Berichte, Sonderheft 10,
Kob1enz, pp. 97-105
Middelkoop, H. and L.L.E Janssen (1991). Implementation of temporal relationships in
knowledge based classification or satellite images. Photogrammetric Engineering & Remote Sensing, Vol. 57, No.7, pp. 937 - 945
Pope, K.O., E. Rejmankova, J.E Paris and R. Woodruff (1997). Detecting seasonal flooding
cycles in marshes of the Yucatan peninsula with SIR-C polarimetric radar imagery. Remote
Sens, Environ. 59: 157-166
Ray, T. W. (1994). A FAQ on Vegetation in Remote Sensing, Div. of Geological and Planetary
Sciences, California Institute of Technology,
ftp://kepler.gps.caltech.edu/pub/terrill/rsvegfaq.txt
Richardson, A. and J. Everitt (1992). Using spectral vegetation indices to estimate rangeland
productivity, Geocarto International, 1 :73-77