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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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