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首页> 外文期刊>Geocarto international >Remote sensing of crop residue burning in Punjab (India): a study on burnedarea estimation using multi-sensor approach
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Remote sensing of crop residue burning in Punjab (India): a study on burnedarea estimation using multi-sensor approach

机译：Remote sensing of crop residue burning in Punjab (India): a study on burnedarea estimation using multi-sensor approach

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The study undertaken investigates the use of multi-sensor characteristics for accurateassessment of burned areas at regular intervals for two districts of Punjab. Temporaldatasets of (pre-burning and post-burning during the year 2006) LISS-III, LISS-IV,MODIS and AVHRR have been used in the quantitative estimation of burned areas.The multi-temporal image difference technique using three different indices (NDVI,NBR and GEMI3) was taken using the statistical threshold technique which has beencalculated and verified by extensive ground-based measurements. The performance ofthe indices was evaluated using spectral separability analysis and GEMI3 was found asthe best in spectral discrimination of burned and unburned surface. Moderate resolutionLISS-III (23.5 m) data provides accurate estimation of burned area affected by fire, butfrequent assessment is not possible due to low temporal resolution (24 days). On theother hand, MODIS (500 m) and AVHRR (1000 m), resulted in a high degree of bias inarea estimation, but provide data at a high temporal rate. This bias in coarser resolutiondata is studied using the sub-pixel technique approach. The total burned area estimatedfrom LISS-III data (GEMI3) is 98,697 ha and from MODIS and AVHRR data (sub-pixel) is 83,893 ha and 74,564 ha, respectively. The area estimates of LISS-III, MODISand AVHRR were compared with LISS-IV data (aggregate to respective resolution) forthe same dates in the year 2007 at selected locations. An overall regression fit wasobtained for MODIS data at selected sites with a value of coefficient of determination(R)= 0.771. An overall linear regression fit of MODIS and AVHRR with the whole ofthe LISS-IV image was compared with sub-pixel estimates at MODIS (500 m), AVHRR(1000 m) and the results revealed a strong relationship with R2 = 0.868 and R2 = 0.817,respectively. The study suggested that for crop residue burning, a multi-sensor approachis effective for improving the accuracy of burned area estimation at coarser resolution.

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