Spatiotemporal dynamic of surface water bodies using Landsat time-series data from 1999 to 2011
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[1] M. Barson,et al. Remote sensing of Australian wetlands: An evaluation of Landsat TM data for inventory and classification , 1993 .
[2] C. Brodley,et al. Decision tree classification of land cover from remotely sensed data , 1997 .
[3] L. Smith. Satellite remote sensing of river inundation area, stage, and discharge: a review , 1997 .
[4] Stephen V. Stehman,et al. Design and Analysis for Thematic Map Accuracy Assessment: Fundamental Principles , 1998 .
[5] N. Davidson,et al. Global wetland inventory – current status and future priorities , 1999 .
[6] P. Frazier,et al. Water body detection and delineation with Landsat TM data. , 2000 .
[7] Giles M. Foody,et al. Status of land cover classification accuracy assessment , 2002 .
[8] A. McMichael,et al. Ecosystems and Human well-being , 2003 .
[9] J. Wickham,et al. Effects of landscape characteristics on land-cover class accuracy , 2003 .
[10] E Brown de Colstoun,et al. National Park vegetation mapping using multitemporal Landsat 7 data and a decision tree classifier , 2003 .
[11] A. Roth,et al. The shuttle radar topography mission—a new class of digital elevation models acquired by spaceborne radar , 2003 .
[12] J. Wickham,et al. Thematic accuracy of the 1992 National Land-Cover Data for the eastern United States: Statistical methodology and regional results , 2003 .
[13] P. Adam,et al. A review of wetland inventory and classification in Australia , 1995, Vegetatio.
[14] Stacy L. Ozesmi,et al. Satellite remote sensing of wetlands , 2002, Wetlands Ecology and Management.
[15] Richard T. Kingsford,et al. Classifying landform at broad spatial scales: the distribution and conservation of wetlands in New South Wales, Australia , 2004 .
[16] J. A. Davis,et al. Loss and degradation of wetlands in southwestern Australia: underlying causes, consequences and solutions , 1999, Wetlands Ecology and Management.
[17] D. Lettenmaier,et al. Measuring surface water from space , 2004 .
[18] V. Semeniuk,et al. A geomorphic approach to global classification for inland wetlands , 1995, Vegetatio.
[19] Leo Breiman,et al. Bagging Predictors , 1996, Machine Learning.
[20] J. Zedler,et al. Wetland resources : Status, trends, ecosystem services, and restorability , 2005 .
[21] Darrel L. Williams,et al. Landsat: Yesterday, Today, and Tomorrow , 2006 .
[22] C. Wright,et al. Improved wetland remote sensing in Yellowstone National Park using classification trees to combine TM imagery and ancillary environmental data , 2007 .
[23] G. L. Schmidt,et al. A multi‐scale segmentation approach to filling gaps in Landsat ETM+ SLC‐off images , 2007 .
[24] P. Horwitz,et al. ASSESSMENT OF WETLAND INVERTEBRATE AND FISH BIODIVERSITY FOR THE GNANGARA SUSTAINABILITY STRATEGY (GSS) , 2008 .
[25] P. Horwitz,et al. Macroinvertebrate cycles of decline and recovery in Swan Coastal Plain (Western Australia) wetlands affected by drought-induced acidification , 2009, Hydrobiologia.
[26] V. Haverd,et al. CSIRO Marine and Atmospheric Research Component: Final Report for Phase 3 , 2008 .
[27] D. Roy,et al. A method for integrating MODIS and Landsat data for systematic monitoring of forest cover and change in the Congo Basin , 2008 .
[28] P. Horwitz,et al. Hydrological change escalates risk of ecosystem stress in Australia's threatened biodiversity hotspot , 2008 .
[29] B. Markham,et al. Summary of Current Radiometric Calibration Coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI Sensors , 2009 .
[30] R. Lawrence,et al. Mapping wetlands and riparian areas using Landsat ETM+ imagery and decision-tree-based models , 2006, Wetlands.
[31] Molly Reif,et al. Satellite remote sensing of isolated wetlands using object-oriented classification of Landsat-7 data , 2009, Wetlands.
[32] Rick L. Lawrence,et al. Change detection of wetland ecosystems using Landsat imagery and change vector analysis , 2007, Wetlands.
[33] R. Weller. Boomtown 2050: Scenarios for a Rapidly Growing City , 2009 .
[34] D. Roy,et al. Web-enabled Landsat Data (WELD): Landsat ETM+ composited mosaics of the conterminous United States , 2010 .
[35] David P. Roy,et al. Wetland mapping in the Congo Basin using optical and radar remotely sensed data and derived topographical indices , 2010 .
[36] R. Froend,et al. Phreatophytic vegetation response to climatic and abstraction-induced groundwater drawdown: Examples of long-term spatial and temporal variability in community response , 2010 .
[37] J. Chambers,et al. Multiple stressors and regime shifts in shallow aquatic ecosystems in antipodean landscapes. , 2010 .
[38] Stephen V. Stehman,et al. International Journal of Applied Earth Observation and Geoinformation: Time-Series Analysis of Multi-Resolution Optical Imagery for Quantifying Forest Cover Loss in Sumatra and Kalimantan, Indonesia , 2011 .
[39] Wei-Yin Loh,et al. Classification and regression trees , 2011, WIREs Data Mining Knowl. Discov..
[40] Matthew C. Hansen,et al. Remotely sensed forest cover loss shows high spatial and temporal variation across Sumatera and Kalimantan, Indonesia 2000–2008 , 2011 .
[41] K. A. Parton,et al. The status of wetlands and the predicted effects of global climate change: the situation in Australia , 2011, Aquatic Sciences.
[42] Thomas R. Loveland,et al. A review of large area monitoring of land cover change using Landsat data , 2012 .