ArticleFrontiers in plant science2022
Comprehensive growth index monitoring of desert steppe grassland vegetation based on UAV hyperspectral.
Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Pharmacokinetics, pharmacodynamics and formulation strategies for enhanced bioavailability of baicalein: an update.Naunyn-Schmiedeberg's archives of pharmacology · 2026Review
- Improving aboveground biomass estimation in desert steppe using hyperspectral semantic segmentation.Frontiers in plant science · 2026Article
- Early detection ofFrontiers in plant science · 2025Article
- Integrating UAV visible and multispectral imagery to assess grazing-induced vegetation responses in sandy grasslands.Frontiers in plant science · 2025Article
- Research on Classification of Grassland Degeneration Indicator Objects Based on UAV Hyperspectral Remote Sensing and 3D_RNet-O Model.Sensors (Basel, Switzerland) · 2024Article
- UAV hyperspectral analysis of secondary salinization in arid oasis cotton fields: effects of FOD feature selection and SOA-RF.Frontiers in plant science · 2024Article
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Authors and funding
9 authors.
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Abstract
The goal of this study was to establish a comprehensive growth index (CGI) of grassland vegetation for monitor the overall condition of the grassland. Taking the desert grassland in Otuoke Banner, Ordos City, Inner Mongolia as the research object, this study integrates five indicators. First, the optimal band of the unmanned aerial vehicle hyperspectral data is optimized using the correlation analysis, successive projection algorithm (SPA), optimum index factor method, and band combination index method. A dual-band spectral index in good correlation with the CGI is then constructed in the optimal band. Afterwards, a CGI characterization model is established in accordance with the partial least squares regression (PLSR) algorithm and its accuracy is analyzed. Finally, the CGI of the study area is estimated. The experimental results are as follows. 1) The R
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