{"id":"W2161815745","doi":"10.1016/j.rse.2003.12.013","title":"Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture","year":2004,"lang":"en","type":"article","venue":"Remote Sensing of Environment","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":2562,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Leaf area index; Hyperspectral imaging; Remote sensing; Enhanced vegetation index; Vegetation (pathology); Normalized Difference Vegetation Index; Environmental science; Context (archaeology); Canopy; Atmospheric radiative transfer codes; Radiative transfer; Vegetation Index; Agronomy; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null}