The early explanatory power of NDVI in crop yield modelling

By L. Wall, Denis Larocque, Pierre-Majorique Léger. 2008

120 citations recorded by the source corpus.

Subfields: Ecology, Ecology, Evolution, Behavior and Systematics, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/14951fac58a3caa7d8fbe1c57dcefa1b4178eba1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Michele Meronia
2. Lorenzo Seguinia
3. Josh Hookera
4. Raúl López-Lozanoa
5. Bettina Barutha
6. Sara García-Condadoa
7. Olivier Leoa
8. Gregory Duveillera

Citations in the corpus

• Towards regional grain yield forecasting with 1km-resolution EO biophysical products: Strengths and limitations at pan-European level (2015, background): “Spectral vegetation indices and biophysical products derived from EO data provide an insight on light interception and carbon assimilation of crop canopies, key variables that influence final crop yields (e.g. Doraiswamy et al., 2003; Lobell et al., 2003; Wall et al., 2008).”