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Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/13848
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dc.contributor.authorJain, Sakshien_US
dc.contributor.authorKhati, Unmeshen_US
dc.date.accessioned2024-07-05T12:49:23Z-
dc.date.available2024-07-05T12:49:23Z-
dc.date.issued2023-
dc.identifier.citationJain, S., Khati, U., & Kumar, V. (2023). Soybean Phenology Monitoring using Synthetic Aperture Radar. 2023 IEEE India Geoscience and Remote Sensing Symposium, InGARSS 2023. Scopus. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190986665&doi=10.1109%2fInGARSS59135.2023.10490410&partnerID=40&md5=a270ce84a54e6988a412e3a5defde3aben_US
dc.identifier.isbn979-8350325591-
dc.identifier.issn0000-0000-
dc.identifier.otherEID(2-s2.0-85190986665)-
dc.identifier.urihttps://doi.org/10.1109/InGARSS59135.2023.10490410-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/13848-
dc.description.abstractThis study in the Indore region of India utilized Sentinel-1 Synthetic Aperture Radar (SAR) data for soybean growth stage monitoring. In-situ measurements including soil moisture, plant traits, and phenological stages, were gathered around Sentinel-1 passes. The Dual-pol Radar Vegetation Index DpRVIc and cross-pol backscatter ratio (soVH /soVV) were key indicators, varying with stages from bare ground to maturity stage. This research bridges SAR data with on-ground measurements, enhancing understanding and potential for accurate crop monitoring. © 2023 IEEE.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.source2023 IEEE India Geoscience and Remote Sensing Symposium, InGARSS 2023en_US
dc.subjectAgricultureen_US
dc.subjectDpRVIen_US
dc.subjectSARen_US
dc.subjectSentinel-1en_US
dc.subjectSoyabeanen_US
dc.titleSoybean Phenology Monitoring using Synthetic Aperture Radaren_US
dc.typeConference Paperen_US
Appears in Collections:Department of Astronomy, Astrophysics and Space Engineering

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