Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/13848
Title: Soybean Phenology Monitoring using Synthetic Aperture Radar
Authors: Jain, Sakshi
Khati, Unmesh
Keywords: Agriculture;DpRVI;SAR;Sentinel-1;Soyabean
Issue Date: 2023
Publisher: Institute of Electrical and Electronics Engineers Inc.
Citation: Jain, 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=a270ce84a54e6988a412e3a5defde3ab
Abstract: This 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.
URI: https://doi.org/10.1109/InGARSS59135.2023.10490410
https://dspace.iiti.ac.in/handle/123456789/13848
ISBN: 979-8350325591
ISSN: 0000-0000
Type of Material: Conference Paper
Appears in Collections:Department of Astronomy, Astrophysics and Space Engineering

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