Land use/cover classification of arid and semi‐arid Mediterranean landscapes using Landsat ETM

References

• Abou El‐Magd , I. and Tanton , T. W. 2003 . Improvements in land use mapping for irrigated agriculture from satellite sensor data using a multi‐stage maximum likelihood classification. . International Journal of Remote Sensing , 24 : 4197 – 4206 .
   Web of Science ®Google Scholar
• Al‐Bakri , J. T. and Suleiman , A. S. 2004 . NDVI response to rainfall in different ecological zones in Jordan. . International Journal of Remote Sensing , 25 : 3897 – 3912 .
   Web of Science ®Google Scholar
• Al‐Bakri , J. T. and Taylor , J. C. 2003 . Application of NOAA‐AVHRR for monitoring vegetation conditions and biomass in Jordan. . Journal of Arid Environment , 54 : 579 – 593 .
   Web of Science ®Google Scholar
• Al‐Bilbisi , H. , Tateishi , R. and Tetuko , S. S. J. 2004 . A technique to estimate topsoil thickness in arid and semi‐arid areas of north‐eastern Jordan using synthetic aperture radar data. . International Journal of Remote Sensing , 25 : 3873 – 3882 .
   Web of Science ®Google Scholar
• Al‐Eisawi , D. , El‐Oqlah , A. , Oran , S. and Lahham , J. 1996 . “ Plant biodiversity in Jordan. ” . In Plant Genetic Resources of Jordan , Edited by: Jaradat , A. A . 13 – 51 . Aleppo, , Syria : IPGRI . In
   Google Scholar
• Benedetti , R. , Rossini , P. and Taddei , R. 1994 . Vegetation classification in the middle Mediterranean area by satellite data. . International Journal of Remote Sensing , 15 : 583 – 596 .
   Web of Science ®Google Scholar
• Berberoglu , S. , Lloyd , C. D. , Atkinson , P. M. and Curran , P. J. 2000 . The integration of spectral and textural information using neural networks for land cover mapping in the Mediterranean. . Computers and Geosciences , 26 : 385 – 396 .
   Web of Science ®Google Scholar
• Calvao , T. and Palmeirim , J. M. 2004 . Mapping Mediterranean scrub with satellite imagery: Biomass estimation and spectral behaviour. . International Journal of Remote Sensing , 25 : 3113 – 3126 .
   Web of Science ®Google Scholar
• Cardille , J. A. and Foley , J. A. 2003 . Agricultural land‐use change in Brazilian Amazonia between 1980 and 1995: Evidence from integrated satellite and census data. . Remote Sensing of Environment , 87 : 551 – 562 .
   Web of Science ®Google Scholar
• Cohen , W. B. and Goward , S. N. 2004 . Landsat's role in ecological applications of remote sensing. . Bioscience , 54 : 535 – 545 .
   Web of Science ®Google Scholar
• Collins , J. B. and Woodcock , C. E. 1996 . An assessment of several linear change detection techniques for mapping forest mortality using multitemporal Landsat TM data. . Remote Sensing of Environment , 56 : 66 – 77 .
   Web of Science ®Google Scholar
• Congalton , R. G. 1991 . A review of assessing the accuracy of classifications of remotely sensed data. . Remote Sensing of Environment , 37 : 35 – 46 .
   Web of Science ®Google Scholar
• Coppin , P. R. and Bauer , M. E. 1994 . Processing of multitemporal Landsat TM imagery to optimize extraction of forest cover change features. . IEEE Transactions on Geoscience and Remote Sensing , 32 : 918 – 927 .
   Web of Science ®Google Scholar
• Dimyati , M. , Mizuno , K. , Kobayashi , S. and Kitamura , T. 1996 . An analysis of land use/cover change using the combination of MSS Landsat and land use map—a case study in Yogyakarta, Indonesia. . International Journal of Remote Sensing , 17 : 931 – 944 .
   Web of Science ®Google Scholar
• DOS . 2005 . Jordan in Figures , Amman, Jordan : Department of Statistics .
   Google Scholar
• Edwards , M. C. , Wellens , J. and Al‐Eisawi , D. 1999 . Monitoring the grazing resources of the Badia region, Jordan, using remote sensing. . Applied Geography , 19 : 385 – 398 .
   Web of Science ®Google Scholar
• Fang , H. S. , McClaran , M. P. , van Leeuwen , W. J. D. , Drake , S. , Marsh , S. E. , Thomson , A. M. , Izaurralde , R. C. and Rosenberg , N. J. 2005 . Biophysical characterization and management effects on semiarid rangeland observed from Landsat ETM+ data. . IEEE Transactions on Geoscience and Remote Sensing , 43 : 125 – 134 .
   Web of Science ®Google Scholar
• GCEP . 2000 . Jordan Ecology, Ecosystems and Habitats: Plant Taxonomy , 72 Amman, Jordan : United Nations Environment Programme .
   Google Scholar
• Guindon , B. , Zhang , Y. and Dillabaugh , C. 2004 . Landsat urban mapping based on a combined spectral–spatial methodology. . Remote Sensing of Environment , 92 : 218 – 232 .
   Web of Science ®Google Scholar
• Haack , B. , Bryant , N. and Adams , S. 1987 . An assessment of Landsat MSS and TM data for urban and near‐urban land‐cover digital classification. . Remote Sensing of Environment , 21 : 201 – 213 .
   Web of Science ®Google Scholar
• Hall , F. G. , Botkin , D. B. , Strebel , D. E. , Wooks , K. D. and Goets , S. J. 1991 . Large scale patterns of forest succession as determined by remote sensing. . Ecology , 72 : 628 – 640 .
   Web of Science ®Google Scholar
• Harlan , J. R. 1975 . Our vanishing genetic resources: Modern varieties replace ancient populations that have provided genetic variability for plant breeding programmes. . Science , 188 : 618 – 621 .
   Web of Science ®Google Scholar
• Harlan , J. R. and Zohary , D. 1966 . Distribution of wild wheats and barley: The present distribution of wild forms may provide clues to the regions of early cereal domestication. . Science , 153 : 1074 – 1080 .
   PubMed Web of Science ®Google Scholar
• Hawkes , J. G. 1977 . The importance of wild germplasm in plant breeding. . Euphytica , 26 : 615 – 621 .
   Web of Science ®Google Scholar
• Hill , J. and Schütt , B. 2000 . Mapping complex patterns of erosion and stability in dry Mediterranean ecosystems. . Remote Sensing of Environment , 74 : 557 – 569 .
   Web of Science ®Google Scholar
• Hirataa , M. , Kogab , N. , Shinjoc , H. , Fujitad , H. , Gintzburger , G. and Miyazaki , A. 2001 . Vegetation classification by satellite image processing in a dry area of north‐eastern Syria. . International Journal of Remote Sensing , 22 : 507 – 516 .
   Google Scholar
• Hunt , C. O. , Elrishi , H. A. , Gilbertson , D. D. , Grattan , J. , McLaren , S. , Pyatt , F. B. , Rushworth , G. and Barker , G. W. 2004 . Early‐Holocene environments in the Wadi Faynan, Jordan. . The Holocene , 14 : 921 – 930 .
   Web of Science ®Google Scholar
• Joregensen , A. F. and Nohr , H. 1996 . The use of satellite images for mapping of landscape and biological diversity in Sahel. . International Journal of Remote Sensing , 17 : 91 – 109 .
   Google Scholar
• Koutsias , N. and Karteris , M. 2003 . Classification analyses of vegetation for delineating forest fire fuel complexes in a Mediterranean test site using satellite remote sensing and GIS. . International Journal of Remote Sensing , 24 : 3093 – 3104 .
   Web of Science ®Google Scholar
• Lloyd , C. D. , Berberoglu , S. , Curran , P. J. and Atkinson , P. M. 2004 . A comparison of texture measures for the per‐field classification of Mediterranean land cover. . International Journal of Remote Sensing , 25 : 3943 – 3965 .
   Web of Science ®Google Scholar
• Lobo , A. , Legendre , P. , Rebollar , J. L. G. , Carreras , J. and Ninot , J. ‐M. 2004 . Land cover classification at a regional scale in Iberia: Separability in a multi‐temporal and multi‐spectral data set of satellite images. . International Journal of Remote Sensing , 25 (1) : 205 – 213 .
   Google Scholar
• Moleele , N. , Ringrose , S. , Arnberg , W. , Lunden , B. and Vanderpost , C. 2001 . Assessment of vegetation indexes useful for browse (forage) prediction in semi‐arid rangelands. . International Journal of Remote Sensing , 22 : 741 – 756 .
   Web of Science ®Google Scholar
• MusaOglu , N. , Coskon , M. and Kocabas , V. 2005 . Land use change analysis of Beykoz‐Istanbul by means of satellite images and GIS. . Water Science and Technology , 51 : 245 – 251 .
   PubMed Web of Science ®Google Scholar
• Oindo , B. O. and Skidmore , A. K. 2003 . Mapping habitat and biological diversity in the Maasai Mara ecosystem. . International Journal of Remote Sensing , 24 : 1053 – 1069 .
   Web of Science ®Google Scholar
• Pax‐Lenney , M. , Woodcock , C. E. , Collins , J. B. and Hamdi , H. 1996 . The status of agricultural lands in Egypt: the use of multitemporal NDVI features derived from Landsat TM. . Remote Sensing of Environment , 56 : 8 – 20 .
   Web of Science ®Google Scholar
• Prince , S. D. and Astle , W. L. 1986 . Satellite remote sensing of rangelands in Botswana, Landsat MSS and herbaceous vegetation. . International Journal of Remote Sensing , 7 : 1533 – 1553 .
   Web of Science ®Google Scholar
• Sabins , F. F. 1997 . Remote Sensing: Principals and Interpretation , 494 New York : W.H. Freeman and Company .
   Google Scholar
• SAS Institute . 2004 . SAS Institute Inc., Cary, NC, USA
   Google Scholar
• Sokal , R. R. and Rohlf , F. J. 1995 . Biometry: the Principles and Practice of Statistics in Biological Research , New York : W.H. Freeman and Company .
   Google Scholar
• Swain , P. H. and Davis , S. M. 1978 . Remote Sensing: The Quantitative Approach , New York : McGraw Hill Book Company .
   Google Scholar
• Tadros , K. I. 1996 . “ Genetic resources of forage plants in Jordan. ” . In Plant Genetic Resources of Jordan , Edited by: Jaradat , A. A . 103 – 114 . Aleppo, , Syria : IPGRI . In
   Google Scholar
• Tellawi , A. M. 2001 . Conservation and Sustainable use of Biological Diversity in Jordan , 118 Amman, Jordan : GCEP .
   Google Scholar
• Vieira , I. G. C. , De Almeida , A. S. , Davidson , E. A. , Stone , T. A. , De CCarvalho , C. J. R. and Guerrero , J. B. 2003 . Classifying successional forests using Landsat spectral properties and ecological characteristics in eastern Amazonia. . Remote Sensing of Environment , 87 : 470 – 481 .
   Web of Science ®Google Scholar
• Wood , T. F. and Foody , G. M. 1989 . Analysis and representation of vegetation continua from Landsat thematic mapper data for lowland heaths. . International Journal of Remote Sensing , 10 : 181 – 191 .
   Web of Science ®Google Scholar
• Woodcock , C. E. , Macomber , S. A. , Pax‐Lenney , M. and Cohen , W. B. 2001 . Monitoring large areas for forest change using Landsat: Generalization across space, time and Landsat sensors. . Remote Sensing of Environment , 78 : 194 – 203 .
   Web of Science ®Google Scholar
• Zheng , D. , Rademacher , J. , Chen , J. , Crow , T. , Bresee , M. , Moine , J. L. and Ryu , S. ‐R. 2004 . Estimating aboveground biomass using Landsat 7 ETM+ data across a managed landscape in northern Wisconsin, USA. . Remote Sensing of Environment , 93 : 402 – 411 .
   Web of Science ®Google Scholar