Opportunities and limitations for image-based remote sensing in precision crop management

Connection of the Photochemical Reflectance Index (PRI) with the Photosystem II Quantum Yield and Nonphotochemical Quenching Can Be Dependent on Variations of Photosynthetic Parameters among Investigated Plants: A Meta-Analysis

“…Precision agriculture [14,[100][101][102][103] requires the development of methods of remote sensing of fields and fast analysis of the derived data. The prospective direction of field monitoring is in the application of spectral indices [41,104,105] due to their connection to physiological processes [15,61] and the damage caused by stressors and pathogens in plants [102,106,107].…”

Responsive in-season nitrogen management for cereals

“…Remote sensing -the process of acquiring information about objects from devices not in contact with those objects -is an option for obtaining information on crop N status for portions of or an entire field (Moran et al, 1997;National Research Council, 1997). This technique has been used by many scientists to characterize spatial variability in fields (Bhatti et al, 1991;Atkinson et al, 1992).…”

Assessing eddy-covariance flux tower location bias across the Fluxnet-Canada Research Network based on remote sensing and footprint modelling

“…Satellite-borne remote sensing provides moderate-spatial resolution images (30-100 m) of the land surface and has successfully been used for a number of decades to parameterize vegetation characteristics over large spatial extents at variable time intervals (e.g. Moran et al, 1997;Running et al, 2004). Studies on the use of satellite-derived vegetation reflectance indices have shown that these indices are significantly correlated with carbon or water flux strength (Moran and Jackson, 1991;Moran et al, 1994Moran et al, , 1995Moran et al, , 1996Nouvellon et al, 2001;Holifield et al, 2003;Bergheime et al, 2006), and as a result remotely sensed vegetation indices can provide a surrogate of the surface flux source strength.…”