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April 23, 2015 Mapping croplands using Landsat data with generalized classifier over large areas Aparna Phalke and Prof. Mutlu Ozdogan Nelson Institute for Environmental Studies University of Wisconsin - Madison
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Updates on following Progress in processing random scenes Results on turkey and Syria Random scene processing
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Methods for Generalization Create buffer of 915 km around the original footprint Select random three random footprints for each
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Randomly Selected footprints
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Landsat Footprints collected 2009-2011 Random1Random2Random3 Selected Footprintsscenespathrowscenespathrowscenespathrowscenes Turkey(172/34)52171354617139311692940 Syria(174/35)53172301816839371753334 Tunisia(192/35)59189313219635461944048 Algeria(193/35)41196291719537471913956 Egypt(177/39)26182384617241271774029 Morocco(201/37)54196414220139622023447 Romania(182/29)49182245818528431843336 Bulgaria(182/30)5318524818327351793336 Ukraine(181/26)53182212418325371752331 Poland(189/24)28187192719320211912729 Germany(193/24)32198181919223411932726 UK(202/24)1819425120027222072211 France(199/26)10196232419727262003135 Hungary(187/27)31190263618622281843035 Italy(192/29)43196262819230421882532 Portugal(203/33)44198385220132592002931 Spain(200/33)42194364520138512023138 Total688523655594 All total2460 RandomTotal1772
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Methodology 1. Atmospheric Correction2. Cloud Masking3. EVI creation4. EVI Stacking5. EVI Temporal Statistics6. Performing LDA Model7. Developing Crop/non-crop map8. Accuracy assessment
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Methodology Accuracy of Random scenes Each scene trained by 100 random points These random points are used to get overall accuracy.
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Results Random : Turkey 1, Turkey 2, Turkey 3
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Accuracy 68.00% Accuracy 71.00% Accuracy 63.00%
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Accuracy 89.00% Accuracy 86.00% Accuracy 88.00%
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Accuracy 89.00% Accuracy 87.00% Accuracy 66.00%
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Results Random : Syria 1, Syria 2, Syria 3
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Accuracy 83.00% Accuracy 87.00% Accuracy 81.00%
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Accuracy 98.00% Accuracy 64.00% Accuracy 93.00%
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Accuracy 73.00% Accuracy 57.00% Accuracy 76.00%
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Thank you phalke@wisc.edu
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