Temporal and spatial relationships between within-field yield variability in cotton and high-spatial hyperspectral remote sensing imagery

Traditional remote sensing methods for yield estimation rely on broadband vegetation indices, such as the Normalized Difference Vegetation Index, NDVI. Despite demonstrated relationships between such traditional indices and yield, NDVI saturates at larger leaf area index (LAI) values, and it is affe...

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Veröffentlicht in:	Agronomy journal 2005-05, Vol.97 (3), p.641-653
Hauptverfasser:	Zarco-Tejada, P.J, Ustin, S.L, Whiting, M.L
Format:	Artikel
Sprache:	eng
Schlagworte:	Agronomy. Soil science and plant productions Biological and medical sciences canopy chlorophyll cotton crop yield fields Fundamental and applied biological sciences. Psychology Generalities. Biometrics, experimentation. Remote sensing Gossypium hirsutum hyperspectral imagery leaf area index plant pigments reflectance Remote sensing spatial variation temporal variation water content
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