ArticleSensors (Basel, Switzerland)2023
Mixed-Species Cover Crop Biomass Estimation Using Planet Imagery.
Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Evaluating UAV-Based Remote Sensing for Hay Yield Estimation.Sensors (Basel, Switzerland) · 2024Article
- Automatic Methodology for Forest Fire Mapping with SuperDove Imagery.Sensors (Basel, Switzerland) · 2024Article
- Spatial and Spectral Dependencies of Maize Yield Estimation Using Remote Sensing.Sensors (Basel, Switzerland) · 2024Article
- Enhancing estimation of cover crop biomass using field-based high-throughput phenotyping and machine learning models.Frontiers in plant science · 2023Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cover crop biomass is helpful for weed and pest control, soil erosion control, nutrient recycling, and overall soil health and crop productivity improvement. These benefits may vary based on cover crop species and their biomass. There is growing interest in the agricultural sector of using remotely sensed imagery to estimate cover crop biomass. Four small plot study sites located at the United States Department of Agriculture Agricultural Research Service, Crop Production Systems Research Unit farm, Stoneville, MS with different cereals, legumes, and their mixture as fall-seeded cover crops were selected for this analysis. A randomized complete block design with four replications was used at all four study sites. Cover crop biomass and canopy-level hyperspectral data were collected at the end of April, just before cover crop termination. High-resolution (3 m) PlanetScope imagery (Dove satellite constellation with PS2.SD and PSB.SD sensors) was collected throughout the cover crop season from November to April in the 2021 and 2022 study cycles. Results showed that mixed cover crop increased biomass production up to 24% higher compared to single species rye. Reflectance bands (blue, green, red and near infrared) and vegetation indices derived from imagery collected during March were more strongly correlated with biomass (
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Registered trials
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