Comparing hyperspectral index optimization algorithms to estimate aerial N uptake using multi-temporal winter wheat datasets from contrasting climatic and geographic zones in China and Germany - Li, Fei; Mistele, Bodo; Hu, Yuncai; Chen, Xinping; Schmidhalter, Urs (Agricultural and forest meteorology, 2013)
Keywords: Aerials; Agricultural and forest climatology and meteorology. Irrigation. Drainage; agroecosystems; Agronomy. Soil science and plant productions; Algorithms; Area-based algorithm; Biological and medical sciences; Budgeting; China; crops; cultivars; data collection; developmental stages; Estimates; Estimating; fertilizer rates; Fundamental and applied biological sciences. Psychology; General agronomy. Plant production; Germany; Hyperspectral index; monitoring; N uptake; nitrogen; North China Plain; prediction; Two-band combinations; Uptakes; Wheat; winter wheat; Asia; Central Europe; Europe; China; Germany; Far east; China, People's Rep; Two-band combinations; Hyperspectral index; N uptake; Area-based algorithm; North China Plain; Biometeorology; Monocotyledones; Climate; Environmental factor; Index; Physical environment; Climatic zone; Temperate zone; Cereal crop; Optimization; Spectral data; Climatic condition; Gramineae; Semi arid zone; Angiospermae; North; C3-Type; Vegetals; Arid environment; Data set; Data; Nitrogen; Nutrient uptake; Algorithm; Geographical division; Winter crops; Hyperspectral characteristic; Alluvial plain; Spermatophyta; Multidate observation; Triticum aestivum