Abstract
A study was conducted for identification and acreage estimation of sugarcane crop in KCP Sugar factory zones of Vuyyuru and Lakshmipuram using satellite remote sensing data during cane seasons of 1997 to 2000. The satellite data was analyzed using supervised classification techniques for acreage estimation and Normalized Difference Vegetation Index (NDVI) was employed for condition assessment and yield estimation. The acreage estimation was made possible after 100 days of planting of sugarcane and the cane crop is identifiable on satellite data after April month in the state of Andhra Pradesh. The relationship between yields of sugarcane with NDVI shown a positive correlation with correlation coefficient of 0.84. However, these relationships needs to be developed for each factory-wise in order to represent the local soil, climatic and biotic factors.
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