The Applicability of Remote Sensing and Geospatial Technologies for Mapping the Damaged Wheat Crop due to Waterlogging
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Authors
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J P Singh
Department of Soil and Water Engineering,
Punjab Agricultural University, Ludhiana
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Ajay Mathur
Punjab Remote Sensing Centre, PAU, Campus, Ludhiana, Punjab141004
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Prabhjot Kaur
Department of Soil & Water Engineering, Punjab Agriculture University,Ludhiana, Punjab 141004
Keywords:
Crop damage, GIS, Remote Sensing, Satellite, Wheat, WaterloggingAbstract
Accurate assessment of crop acreage and damage at the field level is essential for agricultural planning, crop insurance, and disaster management. The present study evaluates the applicability of remote sensing and geospatial technologies for wheat crop mapping and waterlogging assessment at the cadastral (Khasra) level. The LISS-III satellite imagery with a spatial resolution of 23.5 m was utilised to delineate wheat-sown areas in five villages. Revenue cadastral maps containing Khasra boundaries were georeferenced and integrated with the satellite imagery to facilitate field-level crop identification and ownership-based assessment. The results demonstrated a high degree of spatial correspondence between satellite-derived village boundaries and official revenue records. For example, the geographical area of Bagga Kalan village estimated from satellite imagery was 365.76 ha, which closely matched the officially recorded area of 367 ha. An accuracy assessment conducted through extensive field verification revealed an overall wheat-mapping accuracy of approximately 96% in Bagga Kalan village. Furthermore, integrating satellite imagery with cadastral maps enabled the precise identification of waterlogged agricultural fields in Lohgarh village that were affected by canal breaches. Thus, the study demonstrates that remote sensing can accurately identify wheat-sown fields at the Khasra level and detect waterlogging, thereby supporting crop insurance agencies in assessing damage and facilitating compensation to affected farmers.
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