Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture
Top Cited Papers
- 31 August 2002
- journal article
- Published by Elsevier in Remote Sensing of Environment
- Vol. 81 (2-3) , 416-426
- https://doi.org/10.1016/s0034-4257(02)00018-4
Abstract
No abstract availableKeywords
This publication has 36 references indexed in Scilit:
- Toward the Discrimination of Manganese, Zinc, Copper, and Iron Deficiency in ‘Bragg’ Soybean Using Spectral Detection MethodsAgronomy Journal, 2000
- Spectral Detection of Micronutrient Deficiency in ‘Bragg’ SoybeanAgronomy Journal, 2000
- Relationships between Spectral Reflectance and Pigment Concentrations in Stacks of Deciduous BroadleavesRemote Sensing of Environment, 1999
- Yellowness index: An application of spectral second derivatives to estimate chlorosis of leaves in stressed vegetationInternational Journal of Remote Sensing, 1999
- Quantifying Chlorophylls and Caroteniods at Leaf and Canopy ScalesRemote Sensing of Environment, 1998
- Spectral indices for estimating photosynthetic pigment concentrations: A test using senescent tree leavesInternational Journal of Remote Sensing, 1998
- Nitrogen Deficiency Detection Using Reflected Shortwave Radiation from Irrigated Corn CanopiesAgronomy Journal, 1996
- Light Reflectance Compared with Other Nitrogen Stress Measurements in Corn LeavesAgronomy Journal, 1994
- Reflectance, green leaf area index and ear hydric status of wheat from anthesis until maturityInternational Journal of Remote Sensing, 1993
- Ratio analysis of reflectance spectra (RARS): An algorithm for the remote estimation of the concentrations of chlorophyll A, chlorophyll B, and carotenoids in soybean leavesRemote Sensing of Environment, 1992