Estimating green LAI in four crops: Potential of determining optimal spectral bands for a universal algorithm

• Published in: Agricultural and forest meteorology Vol. 192-193; pp. 140 - 148
• Main Authors: Nguy-Robertson, Anthony L., Peng, Yi, Gitelson, Anatoly A., Arkebauer, Timothy J., Pimstein, Agustin, Herrmann, Ittai, Karnieli, Arnon, Rundquist, Donald C., Bonfil, David J.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.07.2014
• Subjects: Algorithms; Crops; Estimating; LAI; Landsat; Leaf area index; Maize; MERIS; MODIS; Sentinel-2; Solanum tuberosum; Soybeans; Triticum aestivum; Vegetation; Vegetation index; VENμS; Wheat; Zea mays; USA; Israel; Vegetation index; LAI; Landsat; Sentinel-2; MERIS; VENμS; MODIS

•Examined nine vegetation indices (VI) for estimating green leaf area index (green LAI).•Four vastly different crops were examined: maize, potato, soybean, and wheat.•All four crops had similar green LAI vs. VI relationships in vegetative growth stage.•Red edge and green based VIs estimate green LAI...