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Parteek1*, Mukesh Kumar1, Pratibha1, Ajay1, Kapil1 and Amandeep Singh1
Department of Soil and Water Engineering, CCS HAU Hisar
Email: parteekdhull9029@gmail.com
Received-15.03.2026, Revised-08.04.2026, Accepted-25.04.2026
Abstract: Soil plays an important role in addressing global environmental concerns, underlining the impacts of climate change, food and water security, land degradation, and habitat loss for various species. Soil salinity and waterlogging are among the most widespread forms of land degradation, posing serious threats to agricultural productivity, ecosystem stability, and global food security. High soil salinity and water logging reduces crop productivity and degrade soil structure, creating a need for their monitoring and management. The conventional method of soil sampling and groundwater observations yield reliable information at individual locations, their usefulness for mapping soil salinity and waterlogging is limited by sparse spatial coverage, high operational costs, and infrequent data collection. These constraints make it difficult to adequately represent the spatial complexity and rapid temporal changes associated with salinity and waterlogging processes. Nowadays, UAV-based remote sensing overcomes these limitations by providing high-resolution, spatially continuous, and timely information, enabling more accurate delineation and monitoring of affected areas. These platforms offer a more effective approach for accessing soil salinity and waterlogging by using different type of UAV sensor and increase the accuracy of results.
Keywords: UAV remote sensing, Hyperspectral imaging, Multispectral imaging
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