Classification of Damaged Crops using Remote Sensing and Geographic Information System
Loading...
Date
2017
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Punjab Agricultural University, Ludhiana
Abstract
Crop damage is a serious problem which perilously affect the agriculture production and the
livelihood of farmers and nation as a whole. In the present study, two villages namely; Bagga
kalan, Nurpur Bet and Sarmastpur, Bal from each Ludhiana and Jalandhar district
respectively, were selected for classifying and quantifying the crop area under damage using
remote sensing (RS) and GIS technique. WV-2 and LISS-3 data were used for digitizing
cadastral map under each village and classifying the villages under various classes. Confusion
matrix were tabulated under each village for computing accuracy assessment for ground
truthing and classified values. There were no losses in all the villages of Ludhiana and
Jalandhar district. Therefore damaged was induced into each of the village. The study
revealed that the affected area under damage were found to be 26.48 ha, 30.01 ha, 10.10 ha
and 45.84 ha for villages Bagga kalan, Nurpur Bet, Sarmastpur and Bal respectively. A case
was carried out to identify damaged wheat crop on satellite imagery. Lohgarh village of Sirsa
district, Haryana was chosen in which damage wheat crop was found to be 127.62 ha due to
inundation.
Description
Keywords
null