Umrer Coalfield - Western Coalfields Limited

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CMPDI2.6.4 Signature generation and classificationImage classification was carried out using the maximum likelihood algorithm. Theclassification proceeds through the following steps: (a) calculation of statistics[i.e. signature generation] for the identified training areas, and (b) the decisionboundary of maximum probability based on the mean vector, variance,covariance and correlation matrix of the pixels.After evaluating the statistical parameters of the training sets, reliability test oftraining sets was conducted by measuring the statistical separation between theclasses that resulted from computing divergence matrix. The overall accuracy ofthe classification was finally assessed with reference to ground truth data. Theaerial extent of each land use class in the coalfield was determined usingERDAS IMAGINE s/w. The classified image for the year 2011 for <strong>Umrer</strong> <strong>Coalfield</strong>is shown in Plate No. 2.2.6.5 Creation/overlay of vector databasePlan showing coal block boundary is superimposed on the image as vector layerin the Arc GIS database. Road and drainage network are also digitised on ArcGIS database and superimposed on the classified image. Geo-environmentaldata base created on GIS platform to analyse the impact of mining on land useand vegetation cover at interval of three years.2.6.6 Validation of classified imageGround truth survey was carried out for validation of the interpreted results fromthe study area. Based on the validation, classification accuracy matrix wasprepared. The classification accuracy matrix is shown in Table 2.3.RSC-561410027(WCL) [ Page 19 of 32]
CMPDIClassification accuracy in case of urban settlements, plantation on backfill, quarryarea, waste lands and surface water Bodies were 100%. Classification accuracyin case of agriculture land lie between 90% to 100%. In case of open forest,plantation on ob and social forestry the classification accuracy varies from 80.0%to 90.0%. Classification accuracy for scrubs was 73.3% due to poor signatureseparability index. The overall classification accuracy is 90%.2.6.7 Final land use/vegetation cover map preparationFinal land use/vegetation cover map (Plate - 2) was generated on 1:50,000scale. Due to inconvenient size, map was printed on 1:90,000 scale using HPDesign jet 4500 Colour plotter and the same is enclosed in the report. A soft copyin .pdf format is also attached. .RSC-561410027(WCL) [ Page 20 of 32]
Page 2 and 3: Land use/Vegetation cover Mapping o
Page 6 and 7: .CMPDIIntroduction1.1 Project Refer
Page 8 and 9: .CMPDIMaharashtraNFig. 1.1: Locatio
Page 10 and 11: CMPDIearth. Figure 2.1 schematicall
Page 12 and 13: CMPDITable 2.1 Electromagnetic spec
Page 14 and 15: CMPDIcharacteristics, settlement an
Page 16: CMPDIBasic DataData SourceSecondary
Page 19: CMPDIcentral meridian. Image transf
Page 23 and 24: CMPDILand Use/ Cover MappingChapter
Page 25 and 26: CMPDIFollowing maps are prepared on
Page 27 and 28: CMPDI3.3.4 MiningThe mining area in
Page 29 and 30: CMPDITable 3.3 Block wise Area Stat
Page 31 and 32: CMPDIPlate 1: FCC (Band 3, 2, 1) of
Page 33 and 34: CMPDIChapter 4Conclusion & Recommen

Umrer Coalfield - Western Coalfields Limited

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