Monitoring of Caspian Sea Coastline Changes Using Object-Oriented Techniques

Lockwood M. NDSI shoreline briefing to the FGDC Coordinate group. NOAA/NOS; 1997.

Shaw B, Allen JR. Analysis of a dynamic shoreline at Sandy Hook. New Jersey, using a GIS. In: Proceedings of ASPRS/ACSM 1995; 382-391.

Ryan, 1991, Extraction of shoreline features by neural nets and image processing, Photogrammetric Engineering and Remote Sensing, 57, 947

Lunetta RS, Elvidge CD. Remote sensing change detection. Taylor and Fancies, UK; 1999.

Ghosh, 2000, Segmentation of remotely sensed images with fuzzy thresholding, and quantitative evaluation, International Journal of Remote Sensing, 21, 2269, 10.1080/01431160050029567

Khorram S, Biging GS, Chrisman NR, Colby DR, Congalton R G, Dobson JE, Ferguson RL, Goodchild MF, Jensen JR, Mace TH. Accuracy assessment of remote sensing-derived change detection. ASPRS, Bethesda; 1999.

Birkett CM, Mertes LAK, Dunne T, Costa M, Jasinski J. Altimetric remote sensing of the Amazon: Application of satellite radar altimetry. JGR 2002; 107 (D20): 8059.

Ingham AE. Hydrography for surveyors and engineers. Blackwell Scientific Publications, London:132; 1992.

Slatton K, Crawford M, Gibeaut JC, Gutierrez R. Modeling SAR backscattering response to coastal inundation, Proceedings of the 1999 International Geosciences and Remote Sensing Symposium, Hamburg, Germany 1999; 2446-2448.

Braud DH, Feng W. Semi-automated construction of the Louisiana coastline digital land/water boundary using Landsat Thematic Mapper satellite imageries. Department of Geography & Anthropology, Technical Report Series 1998; 97-102.

Markham BL, Barker JL. Landsat MSS and TM post calibration dynamic ranges, exoatmospheric reflectance's and at-satellite temperature: EOSAT. Landsat Technical Notes 1986; 1: 3-8.

Frazier PS, Page KJ. Water body detection and delineation with Landsat TM data. Photogrammetric Engineering and remote Sensing [2000;] 66 (12): 1461-1467.

Aplin, 2004, Remote sensing landcover, Progress in Physical Geography, 28, 283, 10.1191/0309133304pp413pr

Herdendorf, 1982, Large lakes of the world, Journal of Great Lakes Research, 8, 379, 10.1016/S0380-1330(82)71982-3

Birkett, 1995, A new global lakes database for remote sensing programmed studying climatically sensitive large lakes, Journal of Great Lakes Research, 21, 307, 10.1016/S0380-1330(95)71041-3

Duker L, Borre L. Biodiversity conservation of the world's lakes: a preliminary framework for identifying priorities. LakeNet Report Series Number 2. Annapolis, Maryland USA; 2001.

Ekstrand, 1994, Assessment of forest damage with Landsat TM: correction for varying forest stand characteristics, Remote Sensing Environment, 47, 291, 10.1016/0034-4257(94)90097-3

Mausel, 1990, Optimum band selection for supervised classification of multispectral data, Photogrammetric Engineering&Remote Sensing, 56, 55

Curran PJ. Principles of remote sensing. London Scientific and Technical Group, Essex, England 1985; 282.

Kardona P. The use of remote sensing techniques in the detection of upland vegetation communities in the North York Moors National Park,www.northyorkmoors-npa.gov.uk/Mlandresreviewpdf/8.4.pdf, unpublished PhD Thesis, Andrews; 1992.

Birkett, 1994, Radar altimetry - a new concept in monitoring global lake level changes, Eos Trans. AGU, 75, 273, 10.1029/94EO00944

Dalton JA, Kite GW. A first look at using the TOPEX/Poseidon satellite radar altimeter for measuring lake levels. Proceedings of the International Workshop on the Application of Remote Sensing in Hydrology, Saskatoon, Canada. 1995; 105-112.

Koblinsky, 1993, Measurement of river level variations with satellite altimetry, Water Resource, 29, 1839, 10.1029/93WR00542

Mosavi SR, Soleimani K. Using remote sensing and GIS techniques for coastal changes, Southern Caspian Sea, Iran. International Archive of the Photogrammetry. Remote Sensing and Spatial Information Science 2003, 34.

Yuan D, Elvidge CD, Lunetta RS. Survey of multispectral methods for land cover change analysis: in Lunetta, R.S., E Elvidge, C.D., (Eds), Remote Sensing Change Detection: Environmental Monitoring Methods and Applications, Taylor& Francis, London 1999; 21-39.

Hall, 2003, Multiscale object-specific approach to digital change detection, International Journal of Applied Earth Observation and Geoinformation, 4, 311, 10.1016/S0303-2434(03)00010-2

Kaichang D. Mapping and change detection. Taylor and Fancies, UK; 1999.

Jakubauskas, 2002, Time series remote sensing analysis of landscape- vegetation interactions in the southern Great Plains, Photogrammetric Engineering and Remote Sensing, 68, 1021

Pao Y. Adaptive pattern recognition and neural networks. Addison-Wesley: Reading, MA; 1989.

Kosko B. Neural networks and fuzzy systems. Prentice-Hall; Englewood Cliffs,;1; New Jersey. USA; 1992.

Cracknell, 1999, Remote sensing techniques in estuaries and coastal zones- an update, International Journal of Remote Sensing, 19, 485, 10.1080/014311699213280

Mikhaylov VN.The Caspian Sea level. Geoecologiya Pricaspiya 1997; 2: 36-43.

ERDAS IMAGIANE 8.7. ERDAS Field Guide™, Fifth Edition, Revised and Expanded, ERDAS, Inc., Atlanta, Georgia; 2003.

eCognition User Guide. 2003. http://www.definiens-imaging.com.