Land use/cover change detection based on remote sensing data (a case study; Neka basin).
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K. Solaimani | M. Arekhi | K. Solaimani | M. Arekhi | R. Tamartash | M. Miryaghobzadeh | R. Tamartash | M. Miryaghobzadeh
[1] Patrick T. Taylor,et al. Shoreline changes along the Rosetta-Nile Promontory: Monitoring with satellite observations , 1991 .
[2] T. M. Lillesand,et al. Rapid maximum likelihood classification , 1991 .
[3] Philip J. Howarth,et al. Procedures for change detection using Landsat digital data , 1981 .
[4] W. Flügel,et al. Land use characterisation and change detection analysis for hydrological model parameterisation of large scale afforested areas using remote sensing , 2002 .
[5] Manfred Ehlers,et al. Application of SPOT data for regional growth analysis and local planning , 1990 .
[6] Russell G. Congalton,et al. A review of assessing the accuracy of classifications of remotely sensed data , 1991 .
[7] J. Chan,et al. Detecting the nature of change in an urban environment : A comparison of machine learning algorithms , 2001 .
[8] J. R. Jensen,et al. Inland wetland change detection using aircraft MSS data , 1987 .
[9] Paul M. Mather,et al. An assessment of the effectiveness of decision tree methods for land cover classification , 2003 .
[10] Xiaodong Chen,et al. Human-Induced Changes to Biodiversity and Alpine Pastureland in the Bayanbulak Region of the East Tienshan Mountains , 2002 .
[11] Andrew P. Bradley,et al. The use of the area under the ROC curve in the evaluation of machine learning algorithms , 1997, Pattern Recognit..
[12] John B. Adams,et al. Classification of multispectral images based on fractions of endmembers: Application to land-cover change in the Brazilian Amazon , 1995 .
[13] H. Neckel,et al. The solar radiation between 3300 and 12500 Å , 1984 .
[14] B. Markham,et al. Spectral characterization of the LANDSAT Thematic Mapper sensors , 1985 .
[15] Brian M. Steele,et al. Combining Multiple Classifiers: An Application Using Spatial and Remotely Sensed Information for Land Cover Type Mapping , 2000 .
[16] Giles M. Foody,et al. Detection of partial land cover change associated with the migration of inter-class transitional zones , 1999 .
[17] S. Hathout,et al. The use of GIS for monitoring and predicting urban growth in east and west St Paul, Winnipeg, Manitoba, Canada. , 2002, Journal of environmental management.
[18] R. Hill. Image segmentation for humid tropical forest classification in Landsat TM data , 1999 .
[19] T. M. Lillesand,et al. Remote Sensing and Image Interpretation , 1980 .
[20] C. Mundia,et al. Dynamics of landuse/cover changes and degradation of Nairobi City, Kenya , 2006 .
[21] G. Bocco,et al. Predicting land-cover and land-use change in the urban fringe A case in Morelia city, Mexico , 2001 .
[22] B. Markham,et al. Radiometric properties of U.S. processed Landsat MSS data , 1987 .
[23] E. Lambin,et al. Dynamics of Land-Use and Land-Cover Change in Tropical Regions , 2003 .
[24] M. Keller,et al. Selective Logging in the Brazilian Amazon , 2005, Science.
[25] D. Roy,et al. Burned area mapping using multi-temporal moderate spatial resolution data—a bi-directional reflectance model-based expectation approach , 2002 .
[26] N. Islam. Dhaka : from city to megacity : perspectives on people, places, planning, and development issues , 1996 .
[27] Martin Herold,et al. The spatiotemporal form of urban growth: measurement, analysis and modeling , 2003 .
[28] Eric F. Lambin,et al. Modelling and monitoring land-cover change processes in tropical regions , 1997 .
[29] A. Kolarkar,et al. Remote sensing application in monitoring land-use changes in arid Rajasthan , 1993 .
[30] Andre F. van Rooyen,et al. Detecting vegetation change in the southern Kalahari using Landsat TM data , 1998 .
[31] D. Muchoney,et al. Change detection for monitoring forest defoliation , 1994 .
[32] Giles M. Foody,et al. Status of land cover classification accuracy assessment , 2002 .
[33] M. Batistella,et al. COMPARISON OF LAND-COVER CLASSIFICATION METHODS IN THE BRAZILIAN AMAZON BASIN , 2004 .
[34] M. Batistella,et al. Linear mixture model applied to Amazonian vegetation classification , 2003 .
[35] J. Cihlar,et al. From Land Cover to Land Use: A Methodology for Efficient Land Use Mapping over Large Areas , 2001 .
[36] Douglas A. Stow,et al. Category identification of changed land-use polygons in an integrated image processing/geographic information system , 1992 .
[37] Xavier Pons,et al. Land-cover and land-use change in a Mediterranean landscape: A spatial analysis of driving forces integrating biophysical and human factors , 2008 .
[38] S. Ventura,et al. THE INTEGRATION OF GEOGRAPHIC DATA WITH REMOTELY SENSED IMAGERY TO IMPROVE CLASSIFICATION IN AN URBAN AREA , 1995 .
[39] H. Alphan. Land‐use change and urbanization of Adana, Turkey , 2003 .
[40] Manfred Ehlers,et al. Photogrammetric Engineering and Remote Sensing , 2007 .
[41] John R. Jensen,et al. Introductory Digital Image Processing: A Remote Sensing Perspective , 1986 .
[42] Chandra Giri,et al. A comparative analysis of the Global Land Cover 2000 and MODIS land cover data sets , 2005 .
[43] J. W. Bruce,et al. The causes of land-use and land-cover change: moving beyond the myths , 2001 .
[44] Dengsheng Lu,et al. Assessment of atmospheric correction methods for Landsat TM data applicable to Amazon basin LBA research , 2002 .
[45] Pol Coppin,et al. Review ArticleDigital change detection methods in ecosystem monitoring: a review , 2004 .
[46] P. Gong,et al. Urban built-up land change detection with road density and spectral information from multi-temporal Landsat TM data , 2002 .
[47] Derya Maktav,et al. Analysis of urban growth using multi‐temporal satellite data in Istanbul, Turkey , 2005 .
[48] Ashbindu Singh,et al. Review Article Digital change detection techniques using remotely-sensed data , 1989 .
[49] M. Bauer,et al. Land cover classification and change analysis of the Twin Cities (Minnesota) Metropolitan Area by multitemporal Landsat remote sensing , 2005 .
[50] P. Chavez. Image-Based Atmospheric Corrections - Revisited and Improved , 1996 .