Ecological sustainability in rangelands: the contribution of remote sensing

References

• Albergel , C. , Zakharova , E. , Calvet , J. C. , Zribi , M. , Parde , M. , Wigneron , J. P. , Novello , N. , Kerr , Y. , Mialon , A. and Fritz , N. E. D. 2011 . A First Assessment of the SMOS Data in Southwestern France Using in situ and Airborne Soil Moisture Estimates: The CAROLS Airborne Campaign . Remote Sensing of Environment , 115 : 2718 – 2728 .
   Web of Science ®Google Scholar
• Anderson , M. C. , Norman , J. M. W. , Kustas , P. , Houborg , R. , P. Starks , J. and Agam , N. 2008 . A Thermal-Based Remote Sensing Technique for Routine Mapping of Land-Surface Carbon, Water and Energy Fluxes from Field to Regional Scales . Remote Sensing of Environment , 112 : 4227 – 4241 .
   Web of Science ®Google Scholar
• Asner , G. P. and Heidebrecht , K. B. 2002 . Spectral Unmixing of Vegetation, Soil and Dry Carbon Cover in Arid Regions: Comparing Multispectral and Hyperspectral Observations . International Journal of Remote Sensing , 23 : 3939 – 3958 .
   Web of Science ®Google Scholar
• Balzter , H. , Braun , P. W. and Kohler , W. 1998 . Cellular Automata Models for Vegetation Dynamics . Ecological Modelling , 107 : 113 – 125 .
   Web of Science ®Google Scholar
• Batty , M. 2007 . Cities and Complexity: Understanding Cities with Cellular Automata, Agent-Based Models, and Fractals , Cambridge , MA : MIT Press .
   Google Scholar
• Bella , D. , Faivre , R. , Ruget , F. , Seguin , B. , Guerif , M. , Combal , B. , Weiss , M. and Rebella , C. 2004 . Remote Sensing Capabilities to Estimate Pasture Production in France . International Journal of Remote Sensing , 25 : 5359 – 5372 .
   Web of Science ®Google Scholar
• Ben Wu , X. , Redeker , E. J. and Thurow , T. L. 2001 . Vegetation and Water Yield Dynamics in an Edwards Plateau Watershed . Journal of Range Management , 54 : 98 – 105 .
   Google Scholar
• Bennouna , T. , Nejmeddine , A. , Lefevre-Fonollosa , M. J. , Lacombe , J. P. , Kaemmerer , M. and Revel , J. C. 2004 . Detection of Change in Moroccan Rangelands with Multitemporal Spot Imagery . Arid Land Research and Management , 18 : 229 – 240 .
   Web of Science ®Google Scholar
• Berberoglu , S. and Akin , A. 2009 . Assessing Different Remote Sensing Techniques to Detect Land Use/Cover Changes in the Eastern Mediterranean . International Journal of Applied Earth Observation and Geoinformation , 11 : 46 – 53 .
   Web of Science ®Google Scholar
• Bontemps , S. , Bogaert , P. , Titeux , N. and Defourny , P. 2008 . An Object-Based Change Detection Method Accounting for Temporal Dependences in Time Series with Medium to Coarse Spatial Resolution . Remote Sensing of Environment , 112 : 3181 – 3191 .
   Web of Science ®Google Scholar
• Booth , D. T. and Cox , S. E. 2008 . Image-Based Monitoring to Measure Ecological Change in Rangeland . Frontiers in Ecology , 6 : 185 – 190 .
   Web of Science ®Google Scholar
• Booth , D. T. and Tueller , P. T. 2003 . Rangeland Monitoring Using Remote Sensing . Arid Land Research and Management , 17 : 455 – 467 .
   Web of Science ®Google Scholar
• Boulila , W. , Farah , I. R. , Ettabaa , K. S. , Solaiman , B. and Ghézala , H. B. 2011 . A Data Mining Based Approach to Predict Spatiotemporal Changes in Satellite Images . International Journal of Applied Earth Observation and Geoinformation , 13 : 386 – 395 .
   Web of Science ®Google Scholar
• Bouman , B. A. M. 1991 . Crop Parameter-Estimation from Ground-Based X-Band (3-cm Wave) Radar Backscattering Data . Remote Sensing of Environment , 37 : 193 – 205 .
   Web of Science ®Google Scholar
• Bradford , J. B. , Hicke , J. A. and Lauenroth , W. K. 2005 . The Relative Importance of Light-Use Efficiency Modifications from Environmental Conditions and Cultivation for Estimation of Large-Scale Net Primary Productivity . Remote Sensing of Environment , 96 : 246 – 255 .
   Web of Science ®Google Scholar
• Brinkmann , K. , Dickhoefer , U. , Schlecht , E. and Buerkert , A. 2011 . Quantification of Aboveground Rangeland Productivity and Anthropogenic Degradation on the Arabian Peninsula Using Landsat Imagery and Field Inventory Data . Remote Sensing of Environment , 115 : 465 – 474 .
   Web of Science ®Google Scholar
• Briske , D. D. , Fuhlendorf , S. D. and Smeins , F. E. 2003 . Vegetation Dynamics on Rangelands: A Critique of the Current Paradigms . Journal of Applied Ecology , 40 : 601 – 614 .
   Web of Science ®Google Scholar
• Calvao , T. and Palmeirim , J. M. 2004 . Mapping Mediterranean Scrub with Satellite Imagery: Biomass Estimation and Spectral Behavior . International Journal of Remote Sensing , 25 : 3113 – 3126 .
   Web of Science ®Google Scholar
• Chen , J. , Gu , S. , Shen , M. , Tang , Y. and Matsushita , B. 2009 . Estimating Aboveground Biomass of Grassland Having a High Canopy Cover: An Exploratory Analysis of In Situ Hyperspectral Data . International Journal of Remote Sensing , 30 : 6497 – 6517 .
   Web of Science ®Google Scholar
• Chikhaoui , M. , Bonn , F. , Bokoye , A. and Merzouk , A. 2005 . A Spectral Index for Land Degradation Mapping Using ASTER Data: Application to a Semi-arid Mediterranean Catchment . International Journal of Applied Earth Observation and Geoinformation , 7 : 140 – 153 .
   Web of Science ®Google Scholar
• Claudio , H. C. , Cheng , Y. , Fuentes , D. A. , Gamon , J. A. , Luo , H. , Oechel , W. , Qiu , H. L. , Rahman , A. F. and Sims , D. A. 2006 . Monitoring Drought Effects on Vegetation Water Content and Fluxes in Chaparral with the 970 nm Water Band Index . Remote Sensing of Environment , 103 : 304 – 311 .
   Web of Science ®Google Scholar
• Clevers , J. G. P. W. , Kooistra , L. and Schaepman , M. E. 2010 . Estimating Canopy Water Content Using Hyperspectral Remote Sensing Data . International Journal of Applied Earth Observation and Geoinformation , 12 : 119 – 125 .
   Web of Science ®Google Scholar
• Contreras , S. , Jobbagy , E. G. , Villagra , P. E. , Nosetto , M. D. and Puigdefabregas , J. 2011 . Remote Sensing Estimates of Supplementary Water Consumption by Arid Ecosystems of Central Argentina . Journal of Hydrology , 397 : 10 – 22 .
   Web of Science ®Google Scholar
• Curran , P. J. 1989 . Remote Sensing of Foliar Chemistry . Remote Sensing of Environment , 30 : 271 – 278 .
   Web of Science ®Google Scholar
• Dash , J. , Jeganathan , C. and Atkinson , P. M. 2010 . Satellite Sensor Derived Spatio-Temporal Variation in Vegetation Phenology over India . Remote Sensing of Environment , 114 : 1388 – 1402 .
   Web of Science ®Google Scholar
• de Jong , S. M. , Paracchini , M. L. , Bertolo , F. , Folving , S. , Megier , J. and de Roo , A. P. J. 1999 . Regional Assessment of Soil Erosion Using the Distributed Model SEMMED and Remotely Sensed Data . Catena , 37 : 291 – 308 .
   Web of Science ®Google Scholar
• Donahue , D. L. 1999 . The Western Range Revisited: Removing Livestock from Public Range to Conserve Native Biodiversity , Norman : University of Oklahoma Press .
   Google Scholar
• Dumont , B. and Hill , D. R. C. 2001 . Multi-Agent Simulation of Group Foraging in Sheep: Effects of Spatial Memory, Conspecific Attraction and Plot Size . Ecological Modelling , 141 : 201 – 215 .
   Web of Science ®Google Scholar
• Dunkerly , D. L. 1997 . Banded Vegetation: Development Under Uniform Rainfall from a Simple Cellular Automaton Model . Plant Ecology , 129 : 103 – 111 .
   Web of Science ®Google Scholar
• Engelen , G. , White , R. , Uljee , I. and Drazan , P. 1995 . Using Cellular Automata for Integrated Modelling of Socio-Environmental Systems . Environmental Monitoring and Assessment , 34 : 203 – 214 .
   PubMed Web of Science ®Google Scholar
• Fang , H. L. , Liang , S. L. , 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 Plus Data . IEEE Transactions on Geoscience and Remote Sensing , 43 : 125 – 134 .
   Web of Science ®Google Scholar
• Fava , F. , Colombo , R. , Bocchi , S. , Meroni , M. , Sitzia , M. , Fois , N. and Zucca , C. 2009 . Identification of Hyperspectral Vegetation Indices for Mediterranean Pasture Characterization . International Journal of Applied Earth Observation and Geoinformation , 11 : 233 – 243 .
   Web of Science ®Google Scholar
• Filippi , A. M. and Jensen , J. R. 2006 . Fuzzy Learning Vector Quantization for Hyperspectral Coastal Vegetation Classification . Remote Sensing of Environment , 100 : 512 – 530 .
   Web of Science ®Google Scholar
• Flather , C. H. and Sieg , C. H. 2000 . Applicability of Montreal Process Criterion 1 – Conservation of Biological Diversity – To Rangeland Sustainability . International Journal of Sustainable Development & World Ecology , 7 : 81 – 96 .
   Web of Science ®Google Scholar
• Foley , J. A. , DeFries , R. , Asner , G. P. , Barford , C. , Bonan , G. , Carpenter , S. R. , Chapin , F. S. , Coe , M. T. , Daily , G. C. , Gibbs , H. K. , Helkowski , J. H. , Holloway , T. , Howard , E. A. , Kucharik , C. J. , Monfreda , C. , Patz , J. A. , Prentice , I. C. , Ramankutty , N. and Snyder , P. K. 2005 . Global Consequences of Land Use . Science , 309 : 570 – 574 .
   PubMed Web of Science ®Google Scholar
• Fraser , R. H. , Warren , M. V. and Barten , P. K. 1995 . Comparative-Evaluation of Land-Cover Data Sources for Erosion Prediction . Water Resources Bulletin , 31 : 991 – 1000 .
   Google Scholar
• Frazier , A. E. and Wang , L. 2011 . Characterizing Spatial Patterns of Invasive Species Using Sub-Pixel Classifications . Remote Sensing of Environment , 115 : 1997 – 2007 .
   Web of Science ®Google Scholar
• Fritz , S. , Massart , M. , Savin , I. , Gallego , J. and Rembold , F. 2008 . The Use of MODIS Data to Derive Acreage Estimations for Larger Fields: A Case Study in the South-Western Rostov Region of Russia . International Journal of Applied Earth Observation and Geoinformation , 10 : 453 – 466 .
   Web of Science ®Google Scholar
• Geerken , R. , Batikha , N. , Celis , D. and Depauw , E. 2005 . Differentiation of Rangeland Vegetation and Assessment of Its Status: Field Investigations and MODIS and SPOT VEGETATION Data Analyses . International Journal of Remote Sensing , 26 : 4499 – 4526 .
   Web of Science ®Google Scholar
• Ginguld , M. , Perevolotsky , A. and Ungar , E. D. 1997 . Living on the Margins: Livelihood Strategies of Bedouin Herd-Owners in the Northern Negev, Israel . Human Ecology , 25 : 567 – 591 .
   Web of Science ®Google Scholar
• Hansen , P. M. and Schjoerring , J. K. 2003 . Reflectance Measurement of Canopy Biomass and Nitrogen Status in Wheat Crops Using Normalized Difference Vegetation Indices and Partial Least Squares Regression . Remote Sensing of Environment , 86 : 542 – 553 .
   Web of Science ®Google Scholar
• He , C. , Zhang , Q. , Li , Y. , Li , X. and Shi , P. 2005 . Zoning Grassland Protection Area Using Remote Sensing and Cellular Automata Modelling – A Case Study in Xilingol Steppe Grassland in Northern China . Journal of Arid Environments , 63 : 814 – 826 .
   Web of Science ®Google Scholar
• Heady , H. F. and Child , R. D. 1994 . Rangeland Ecology & Management , Boulder , CO : Westview Press .
   Google Scholar
• Heitschmidt , R. K. , Vermeire , L. T. and Grings , E. E. 2004 . Is Rangeland Agriculture Sustainable? . Journal of Animal Science , 82 : E138 – E146 .
   PubMedGoogle Scholar
• Hobbs , R. J. and Norton , D. A. 1996 . Towards a Conceptual Framework for Restoration Ecology . Restoration Ecology , 4 : 93 – 110 .
   Web of Science ®Google Scholar
• Hostert , P. , Roder , A. , Hill , J. , Udelhoven , T. and Tsiourlis , G. 2003 . Retrospective Studies of Grazing-Induced Land Degradation: A Case Study in Central Crete, Greece . International Journal of Remote Sensing , 24 : 4019 – 4034 .
   Web of Science ®Google Scholar
• Huenneke , L. F. , Anderson , J. P. , Remmenga , M. and Schlesinger , W. H. 2002 . Desertification Alters Patterns of Aboveground Net Primary Production in Chihuahuan Ecosystems . Global Change Biology , 8 : 247 – 264 .
   Web of Science ®Google Scholar
• Hunt , E. R. , Everitt , J. H. , Ritchie , J. C. , Moran , M. S. , Booth , D. T. , Anderson , G. L. , Clark , P. E. and Seyfried , M. S. 2003 . Applications and Research Using Remote Sensing for Rangeland Management . Photogrammetric Engineering and Remote Sensing , 69 : 675 – 693 .
   Web of Science ®Google Scholar
• Hunt , E. R. Jr and Miyake , B. A. 2006 . Comparison of Stocking Rates from Remote Sensing and Geospatial Data . Rangeland Ecology & Management , 59 : 11 – 18 .
   Web of Science ®Google Scholar
• Im , J. , Jensen , J. R. and Tullis , J. A. 2008 . Object-Based Change Detection Using Correlation Image Analysis and Image Segmentation . International Journal of Remote Sensing , 29 : 399 – 423 .
   Web of Science ®Google Scholar
• Jeganathan , C. , Dash , J. and Atkinson , P. M. 2010 . Characterising the Spatial Pattern of Phenology for the Tropical Vegetation of India Using Multi-Temporal MERIS Chlorophyll Data . Landscape Ecology , 25 : 1125 – 1141 .
   Web of Science ®Google Scholar
• Jensen , M. E. , Dibenedetto , J. P. , Barber , J. A. , Montagne , C. and Bourgeron , P. S. 2001 . Spatial Modeling of Rangeland Potential Vegetation Environments . Journal of Range Management , 54 : 528 – 536 .
   Google Scholar
• Jones , T. G. , Coops , N. C. and Sharma , T. 2010 . Assessing the Utility of Airborne Hyperspectral and LiDAR Data for Species Distribution Mapping in the Coastal Pacific Northwest, Canada . Remote Sensing of Environment , 114 : 2841 – 2852 .
   Web of Science ®Google Scholar
• Kustas , W. P. , Perry , E. M. , Doraiswamy , P. C. and Moran , M. S. 1994 . Using Satellite Remote Sensing to Extrapolate Evapotranspiration Estimates in Time and Space over a Semiarid Rangeland Basin . Remote Sensing of Environment , 49 : 275 – 286 .
   Web of Science ®Google Scholar
• Laliberte , A. S. , Herrick , J. E. , Rango , A. and Winters , C. 2010 . Acquisition, Orthorectification, and Object-Based Classification of Unmanned Aerial Vehicle (UAV) Imagery for Rangeland Monitoring . Photogrammetric Engineering and Remote Sensing , 76 : 661 – 672 .
   Web of Science ®Google Scholar
• Lawrence , R. 2004 . Classification of Remotely Sensed Imagery Using Stochastic Gradient Boosting as a Refinement of Classification Tree Analysis . Remote Sensing of Environment , 90 : 331 – 336 .
   Web of Science ®Google Scholar
• Le Hégarat-Mascle , S. , Ottlé , C. and Guérin , C. 2005 . Land Cover Change Detection at Coarse Spatial Scales Based on Iterative Estimation and Previous State Information . Remote Sensing of Environment , 95 : 464 – 479 .
   Web of Science ®Google Scholar
• Lu , S. , Oki , K. , Shimizu , Y. and Omasa , K. 2007 . Comparison Between Several Feature Extraction/Classification Methods for Mapping Complicated Agricultural Land Use Patches Using Airborne Hyperspectral Data . International Journal of Remote Sensing , 28 : 963 – 984 .
   Web of Science ®Google Scholar
• Karnieli , A. 1997 . Development and Implementation of Spectral Crust Index over Dune Sands . International Journal of Remote Sensing , 18 : 1207 – 1220 .
   Web of Science ®Google Scholar
• Karnieli , A. , Gilad , U. , Ponzet , M. , Svoray , T. , Mirzadinov , R. and Fedorina , O. 2008 . Assessing Land-Cover Change and Degradation in the Central Asian Deserts Using Satellite Image Processing and Geostatistical Methods . Journal of Arid Environments , 72 : 2093 – 2105 .
   Web of Science ®Google Scholar
• Karnieli , A. , Kidron , G. J. , Glaesser , C. and Ben-Dor , E. 1999 . Spectral Characteristics of Cyanobacteria Soil Crust in Semiarid Environments . Remote Sensing of Environment , 69 : 67 – 75 .
   Web of Science ®Google Scholar
• Karnieli , A. , Shackak , M. , Tsoar , H. , Zaady , E. , Kaufman , Y. , Danin , A. and Porter , W. 1996 . The Effect of Microphytes on the Spectral Reflectance of Vegetation in Semiarid Regions . Remote Sensing of Environment , 57 : 88 – 96 .
   Web of Science ®Google Scholar
• Kepner , W. G. , Watts , C. J. , Edmonds , C. M. , Maingi , J. K. , Marsh , S. E. and Luna , G. 2000 . Landscape Approach for Detecting and Evaluating Change in a Semiarid Environment . Environmental Monitoring and Assessment , 64 : 179 – 195 .
   Web of Science ®Google Scholar
• Maczko , K. A. , Bryant , L. D. , Thompson , D. W. and Borchard , S. J. 2004 . Putting the Pieces Together: Assessing Social, Ecological, and Economic Rangeland Sustainability . Rangelands , 26 : 3 – 14 .
   Google Scholar
• Masocha , M. and Skidmore , A. K. 2011 . Integrating Conventional Classifiers with a GIS Expert System to Increase the Accuracy of Invasive Species Mapping . International Journal of Applied Earth Observation and Geoinformation , 13 : 487 – 494 .
   Web of Science ®Google Scholar
• Milner-Gulland , E. J. , Kerven , C. , Behnke , R. , Wright , I. A. and Smailov , A. 2006 . A Multi-Agent System Model of Pastoralist Behaviour in Kazakhstan . Ecological Complexity , 3 : 23 – 36 .
   Web of Science ®Google Scholar
• Mingwei , Z. , Qingbo , Z. , Zhongxin , C. , Jia , L. , Yong , Z. and Chongfa , C. 2008 . Crop Discrimination in Northern China with Double Cropping Systems Using Fourier Analysis of Time-Series MODIS Data . International Journal of Applied Earth Observation and Geoinformation , 10 : 476 – 485 .
   Web of Science ®Google Scholar
• Mucher , C. A. , Steinnocher , K. T. , Kressler , F. P. and Heunks , C. 2000 . Land Cover Characterization and Change Detection for Environmental Monitoring of Pan-Europe . International Journal of Remote Sensing , 21 : 1159 – 1181 .
   Web of Science ®Google Scholar
• Munyati , C. and Makgale , D. 2009 . Multitemporal Landsat TM Imagery Analysis for Mapping and Quantifying Degraded Rangeland in the Bahurutshe Communal Grazing Lands, South Africa . International Journal of Remote Sensing , 30 : 3649 – 3668 .
   Web of Science ®Google Scholar
• Mutanga , O. and Skidmore , A. K. 2004 . Integrating Imaging Spectroscopy and Neural Networks to Map Grass Quality in the Kruger National Park, South Africa . Remote Sensing of Environment , 90 : 104 – 115 .
   Web of Science ®Google Scholar
• Mutanga , O. , Skidmore , A. K. and Prins , H. H. T. 2004 . Predicting In Situ Pasture Quality in the Kruger National Park, South Africa, Using Continuum-Removed Absorption Features . Remote Sensing of Environment , 89 : 393 – 408 .
   Web of Science ®Google Scholar
• Naylor , B. J. , Endress , B. A. and Parks , C. G. 2005 . Multiscale Detection of Sulfur Cinquefoil Using Aerial Photography . Rangeland Ecology & Management , 58 : 447 – 451 .
   Web of Science ®Google Scholar
• Oldeland , J. , Dorigo , W. , Lieckfeld , L. , Lucieer , A. and Jürgens , N. 2010 . Combining Vegetation Indices, Constrained Ordination and Fuzzy Classification for Mapping Semi-Natural Vegetation Units from Hyperspectral Imagery . Remote Sensing of Environment , 114 : 1155 – 1166 .
   Web of Science ®Google Scholar
• Palmer , A. R. and Fortescue , A. 2004 . Remote Sensing and Change Detection in Rangelands . African Journal of Range & Forage Science , 21 : 123 – 128 .
   Google Scholar
• Paudel , K. P. and Andersen , P. 2010 . Assessing Rangeland Degradation Using Multi-Temporal Satellite Images and Grazing Pressure Surface Model in Upper Mustang, Trans Himalaya, Nepal . Remote Sensing of Environment , 114 : 1845 – 1855 .
   Web of Science ®Google Scholar
• Peña-Barragán , J. M. , Ngugi , M. K. , Plant , R. E. and Six , J. 2011 . Object-Based Crop Identification Using Multiple Vegetation Indices, Textural Features and Crop Phenology . Remote Sensing of Environment , 115 : 1301 – 1316 .
   Web of Science ®Google Scholar
• Pettorelli , N. , Vik , J. O. , Mysterud , A. , Gaillard , J. M. , Tucker , C. J. and Stenseth , N. C. 2005 . Using the Satellite-Derived NDVI to Assess Ecological Responses to Environmental Change . Trends in Ecology & Evolution , 20 : 503 – 510 .
   PubMed Web of Science ®Google Scholar
• Phillips , R. L. , Beeri , O. and Liebig , M. 2006 . Landscape Estimation of Canopy C:N Ratios Under Variable Drought Stress in Northern Great Plains Rangelands . Journal of Geophysical Research-Biogeosciences , 111 : G2
   Google Scholar
• Pickup , G. , Bastin , G. N. and Chewings , V. H. 1994 . Remote-Sensing-Based Condition Assessment for Nonequilibrium Rangelands Under Large-Scale Commercial Grazing . Ecological Applications , 4 : 497 – 517 .
   Web of Science ®Google Scholar
• Pickup , G. , Bastin , G. N. and Chewings , V. H. 1998 . Identifying Trends in Land Degradation in Non-equilibrium Rangelands . Journal of Applied Ecology , 35 : 365 – 377 .
   Web of Science ®Google Scholar
• Pickup , G. and Chewings , V. H. 1988 . Estimating the Distribution of Grazing and Patterns of Cattle Movement in a Large Arid Zone Paddock an Approach Using Animal Distribution Models and Landsat Imagery . International Journal of Remote Sensing , 9 : 1469 – 1490 .
   Web of Science ®Google Scholar
• Pickup , G. and Chewings , V. H. 1994 . A Grazing Gradient Approach to Land Degradation Assessment in Arid Areas from Remotely-Sensed Data . International Journal of Remote Sensing , 15 : 597 – 617 .
   Web of Science ®Google Scholar
• Reeves , M. C. , Zhao , M. and Running , S. W. 2006 . Applying Improved Estimates of MODIS Productivity to Characterize Grassland Vegetation Dynamics . Rangeland Ecology & Management , 59 : 1 – 10 .
   Web of Science ®Google Scholar
• Richardson , M. D. , Karcher , D. E. and Purcell , L. C. 2001 . Quantifying Turfgrass Cover Using Digital Image Analysis . Crop Science , 41 : 1884 – 1888 .
   Web of Science ®Google Scholar
• Rietkerk , M. , Ketner , P. , Stroosnijder , L. and Prins , H. H. T. 1996 . Sahelian Rangeland Development: A Catastrophe? . Journal of Range Management , 49 : 512 – 519 .
   Google Scholar
• Röder , A. , Udelhoven , T. , Hill , J. , del Barrio , G. and Tsiourlis , G. 2008 . Trend Analysis of Landsat-TM and -ETM+ Imagery to Monitor Grazing Impact in a Rangeland Ecosystem in Northern Greece . Remote Sensing of Environment , 112 : 2863 – 2875 .
   Web of Science ®Google Scholar
• Sankey , T. T. , Glenn , N. , Ehinger , S. , Boehm , A. and Hardegree , S. 2010 . Characterizing Western Juniper Expansion via a Fusion of Landsat 5 Thematic Mapper and Lidar Data . Rangeland Ecology & Management , 63 : 514 – 523 .
   Web of Science ®Google Scholar
• Serneels , S. , Said , M. Y. and Lambin , E. F. 2001 . Land Cover Changes Around a Major East African Wildlife Reserve: The Mara Ecosystem (Kenya) . International Journal of Remote Sensing , 22 : 3397 – 3420 .
   Web of Science ®Google Scholar
• Serra , P. , Pons , X. and Sauri , D. 2003 . Post-Classification Change Detection with Data from Different Sensors: Some Accuracy Considerations . International Journal of Remote Sensing , 24 : 3311 – 3340 .
   Web of Science ®Google Scholar
• Shoshany , M. 2012 . The Rational Model of Shrubland Biomass, Pattern and Precipitation Relationships along Semiarid Climatic Gradients . Journal of Arid Environments , 78 : 179 – 182 .
   Web of Science ®Google Scholar
• Shoshany , M. and Goldshleger , N. 2002 . Land-Use and Population Density Changes in Israel – 1950 to 1990: Analysis of Regional and Local Trends . Land Use Policy , 19 : 123 – 133 .
   Web of Science ®Google Scholar
• Shoshany , M. and Karnibad , L. 2011 . Mapping Shrubland Biomass along Mediterranean Climatic Gradients: The Synergy of Rainfall-Based and NDVI Based Models . International Journal of Remote Sensing , 32 : 9497 – 9508 .
   Web of Science ®Google Scholar
• Shoshany , M. and Svoray , T. 2002 . Multidate Adaptive Unmixing and Its Application to Analysis of Ecosystem Transitions along a Climatic Gradient . Remote Sensing of Environment , 82 : 5 – 20 .
   Web of Science ®Google Scholar
• Shoshany , M. , Svoray , T. , Curran , P. J. , Foody , G. M. and Perevolotsky , A. 2000 . The Relationship Between ERS-2 SAR Backscatter and Soil Moisture: Generalization from a Humid to Semi-Arid Transect . International Journal of Remote Sensing , 21 : 2337 – 2343 .
   Web of Science ®Google Scholar
• Singh , N. and Glenn , N. F. 2009 . Multitemporal Spectral Analysis for Cheatgrass (Bromus tectorum) Classification . International Journal of Remote Sensing , 30 : 3441 – 3462 .
   Web of Science ®Google Scholar
• South , S. , Qi , J. and Lusch , D. P. 2004 . Optimal Classification Methods for Mapping Agricultural Tillage Practices . Remote Sensing of Environment , 91 : 90 – 97 .
   Web of Science ®Google Scholar
• Starks , P. J. , Venuto , B. C. , Eckroat , J. A. and Lucas , T. 2011 . Measuring Eastern Redcedar (Juniperus virginiana L.) Mass with the Use of Satellite Imagery . Rangeland Ecology & Management , 64 : 178 – 186 .
   Web of Science ®Google Scholar
• Su , J. G. and Bork , E. W. 2007 . Characterization of Diverse Plant Communities in Aspen Parkland Rangeland Using LiDAR Data . Applied Vegetation Science , 10 : 407 – 416 .
   Google Scholar
• Svoray , T. , Gancharski , S. B. Y. , Henkin , Z. and Gutman , M. 2004 . Assessment of Herbaceous Plant Habitats in Water-Constrained Environments: Predicting Indirect Effects with Fuzzy Logic . Ecological Modelling , 180 : 537 – 556 .
   Web of Science ®Google Scholar
• Svoray , T. and Karnieli , A. 2011 . Rainfall, Topography, and Primary Production Relationships in a Semiarid Ecosystem . Ecohydrology , 4 : 56 – 66 .
   Web of Science ®Google Scholar
• Svoray , T. , Shafran-Nathan , R. , Henkin , Z. and Perevolotsky , A. 2008 . Spatially and Temporally Explicit Modeling of Conditions for Primary Production of Annuals in Dry Environments . Ecological Modelling , 218 : 339 – 353 .
   Web of Science ®Google Scholar
• Svoray , T. and Shoshany , M. 2003 . Herbaceous Biomass Retrieval in Habitats of Complex Composition: A Model Merging SAR Images with Unmixed Landsat TM Data . IEEE Transactions on Geoscience and Remote Sensing , 41 : 1592 – 1601 .
   Web of Science ®Google Scholar
• Svoray , T. and Shoshany , M. 2004 . Multi-Scale Analysis of Intrinsic Soil Factors from SAR-Based Mapping of Drying Rates . Remote Sensing of Environment , 92 : 233 – 246 .
   Web of Science ®Google Scholar
• Svoray , T. , Shoshany , M. , Curran , P. J. , Foody , G. M. and Perevolotsky , A. 2001 . Relationship Between Green Leaf Biomass Volumetric Density and ERS-2 SAR Backscatter of Four Vegetation Formations in the Semi-Arid Zone of Israel . International Journal of Remote Sensing , 22 : 1601 – 1607 .
   Web of Science ®Google Scholar
• Ulaby , F. T. , Moore , M. K. and Fung , A. K. 1986 . Microwave Remote Sensing Active and Passive: from Theory to Applications , Norwood , MA : Artech House .
   Google Scholar
• Ustin , S. L. , Valko , P. G. , Kefauver , S. C. , Santos , M. J. , Zimpfer , J. F. and Smith , S. D. 2009 . Remote Sensing of Biological Soil Crust Under Simulated Climate Change Manipulations in the Mojave Desert . Remote Sensing of Environment , 113 : 317 – 328 .
   Web of Science ®Google Scholar
• Verbesselt , J. , Hyndman , R. , Zeileis , A. and Culvenor , D. 2010 . Phenological Change Detection While Accounting for Abrupt and Gradual Trends in Satellite Image Time Series . Remote Sensing of Environment , 114 : 2970 – 2980 .
   Web of Science ®Google Scholar
• Wallace , O. C. , Qi , J. G. , Heilma , P. and Marsett , R. C. 2003 . Remote Sensing for Cover Change Assessment in Southeast Arizona . Journal of Range Management , 56 : 402 – 409 .
   Google Scholar
• Wang , C. , Menenti , M. , Stoll , M.-P. , Belluco , E. and Marani , M. 2007 . Mapping Mixed Vegetation Communities in Salt Marshes Using Airborne Spectral Data . Remote Sensing of Environment , 107 : 559 – 570 .
   Web of Science ®Google Scholar
• Wang , J. , Chen , Y. , He , T. , Lv , C. and Liu , A. 2010 . Application of Geographic Image Cognition Approach in Land Type Classification Using Hyperion Image: A Case Study in China . International Journal of Applied Earth Observation and Geoinformation , 12 : S212 – S222 .
   Web of Science ®Google Scholar
• Wang , S. Q. , Xu , J. , Zhou , C. H. and He , C. F. 2002 . Using Remote Sensing to Estimate the Change of Carbon Storage: A Case Study in the Estuary of Yellow River Delta . International Journal of Remote Sensing , 23 : 1565 – 1580 .
   Web of Science ®Google Scholar
• Washington-Allen , R. A. , West , N. E. , Ramsey , R. D. and Efroymson , R. A. 2006 . A Protocol for Retrospective Remote Sensing-Based Ecological Monitoring of Rangelands . Rangeland Ecology & Management , 59 : 19 – 29 .
   Web of Science ®Google Scholar
• Weiss , E. , Marsh , S. E. and Pfirman , E. S. 2001 . Application of NOAA-AVHRR NDVI Time-Series Data to Assess Changes in Saudi Arabia's Rangelands . International Journal of Remote Sensing , 22 : 1005 – 1027 .
   Web of Science ®Google Scholar
• West , N. E. 2003 . Theoretical Underpinnings of Rangeland Monitoring . Arid Land Research and Management , 17 : 333 – 346 .
   Web of Science ®Google Scholar
• Westoby , M. , Walker , B. and Noy-Meir , I. 1989 . Opportunistic Management for Rangelands Not at Equilibrium . Journal of Range Management , 42 : 266 – 274 .
   Google Scholar
• Williams , A. P. and Hunt , E. R. 2002 . Estimation of Leafy Spurge Cover from Hyperspectral Imagery Using Mixture Tuned Matched Filtering . Remote Sensing of Environment , 82 : 446 – 456 .
   Web of Science ®Google Scholar
• Woodcock , C. E. , Allen , R. G. , Anderson , M. , Belward , A. , Bindschadler , R. , Cohen , W. B. , Gao , F. , Goward , S. N. , Helder , D. L. , Helmer , E. H. , Nemani , R. , Oreopoulos , L. , Schott , J. R. , Thenkabail , P. S. , Vermote , E. F. , Vogelmann , J. E. , Wulder , M. A. and Wynne , R. 2008 . Free Access to Landsat Imagery . Science , 320 : 1011
   PubMed Web of Science ®Google Scholar
• Yang , C. H. , Everitt , J. H. and Johnson , H. B. 2009 . Applying Image Transformation and Classification Techniques to Airborne Hyperspectral Imagery for Mapping Ashe Juniper Infestations . International Journal of Remote Sensing , 30 : 2741 – 2758 .
   Web of Science ®Google Scholar
• Yool , S. R. , Makaio , M. J. and Watts , J. M. 1997 . Techniques for Computer-Assisted Mapping of Rangeland Change . Journal of Range Management , 50 : 307 – 314 .
   Google Scholar
• Zhong , J. and Wang , R. 2006 . Multi-Temporal Remote Sensing Change Detection Based on Independent Component Analysis . International Journal of Remote Sensing , 27 : 2055 – 2061 .
   Web of Science ®Google Scholar
• Zhou , Q. , Li , B. and Kurban , A. 2008 . Trajectory Analysis of Land Cover Change in Arid Environment of China . International Journal of Remote Sensing , 29 : 1093 – 1107 .
   Web of Science ®Google Scholar