Remote sensing characterisation of cropping systems and their water use to assess irrigation management from field to canal command scale

Jorge L. Peña-Arancibia, Mobin-ud Din Ahmad and Yingying Yu

Agricultural Water Management, 2025, vol. 311, issue C

Abstract: Remote sensing (RS) plays a crucial role in water resources management. Irrigated areas have undergone substantial changes globally. This research utilises RS to characterise irrigation from 2010 to 2020 within five canal commands in the Indus Basin Irrigated System (IBIS), the world's largest contiguous irrigation system (∼16 million hectares). Cropping systems, water use and supply assessments are conducted primarily through estimations of 30 m actual evapotranspiration (ETa) and seasonal land cover classification maps – for both the wet summer 'Kharif' and dry winter 'Rabi' seasons. ETa estimates are required to match the 10-day period in which supply is adjusted to balance shortages in the canal commands. The multiannual 10-day frequency is achieved through blending of 'low spatial resolution-high temporal frequency' MODIS images (500 m and daily) and 'high spatial resolution-low temporal frequency' Landsat images (30 m and every 16 days). ETa estimates show reasonable spatiotemporal agreement (R2>0.7) when compared against locally calibrated ETa estimates. Seasonal crop maps generated with a Random Forest classification show reasonable accuracy (R2>0.9) when compared against agricultural survey statistics. The crop maps and associated ETa provide valuable insights into cropping and water use dynamics. While Kharif ETa and total cropped area exhibit relatively low year-to-year variability, large shifts from cotton (49% decrease) to rice (125% increase), other crops, and aquaculture are observed in some areas. During Rabi, ETa and total cropped area variations are less pronounced compared to Kharif, with winter cereals dominating the landscape. ETa generally exceeds water supply in the canal commands, with the disparity being higher during Rabi (36% on average), indicating groundwater augmentation as a significant contributor to groundwater depletion. The integration of ETa crop maps and canal water deliveries offers novel and essential knowledge for agriculture and water management policymaking in the IBIS and similar regions, from field to canal command scales.

Keywords: Evapotranspiration; CMRSET; Landsat; MODIS, machine learning; Indus basin; Water accounting (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:agiwat:v:311:y:2025:i:c:s0378377425000885

DOI: 10.1016/j.agwat.2025.109374

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