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- Guérif, Martine, et al. Show all 8 Authors
- Plant, cell and environment 2016 v.39 no.12 pp. 2609-2623
- algorithms; canopy; chlorophyll; corn; data collection; ecophysiology; ecosystems; grasses; models; photosynthesis; reflectance; regression analysis; remote sensing; rice; soybeans; sugar beet; vegetation types; wavelengths; wheat; France; Italy; Japan; United States
- ... Canopy chlorophyll content (CCC) is an essential ecophysiological variable for photosynthetic functioning. Remote sensing of CCC is vital for a wide range of ecological and agricultural applications. The objectives of this study were to explore simple and robust algorithms for spectral assessment of CCC. Hyperspectral datasets for six vegetation types (rice, wheat, corn, soybean, sugar beet and na ...