An Automated Method for Extracting Rivers and Lakes from Landsat Imagery

By Jiang Hao   Feng Min   Zhu Yunqiang   Lu Ning   Huang Jianxi   Xiao Tong  

Remote Sensing, Vol. 6, Iss. 6, 2014-05 ,pp. : 5067-5089

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An Operational Scheme for Deriving Standardised Surface Reflectance from Landsat TM/ETM+ and SPOT HRG Imagery for Eastern Australia

By Flood Neil   Danaher Tim   Gill Tony   Gillingham Sam  

Remote Sensing, Vol. 5, Iss. 1, 2013-01 ,pp. : 83-109

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An Automated Artificial Neural Network System for Land Use/Land Cover Classification from Landsat TM Imagery

By Yuan Hui   Van Der Wiele Cynthia F.   Khorram Siamak  

Remote Sensing, Vol. 1, Iss. 3, 2009-07 ,pp. : 243-265

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The Potential of Time Series Merged from Landsat-5 TM and HJ-1 CCD for Crop Classification: A Case Study for Bole and Manas Counties in Xinjiang, China

By Hao Pengyu   Wang Li   Niu Zheng   Aablikim Abdullah   Huang Ni   Xu Shiguang   Chen Fang  

Remote Sensing, Vol. 6, Iss. 8, 2014-08 ,pp. : 7610-7631

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A Comparative Analysis of EO-1 Hyperion, Quickbird and Landsat TM Imagery for Fuel Type Mapping of a Typical Mediterranean Landscape

By Mallinis Giorgos   Galidaki Georgia   Gitas Ioannis  

Remote Sensing, Vol. 6, Iss. 2, 2014-02 ,pp. : 1684-1704

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