Evaluation of red and red-edge reflectance-based vegetation indices for rice biomass and grain yield prediction models in paddy fields

Improving in-season estimation of rice yield potential and responsiveness to topdressing nitrogen application with Crop Circle active crop canopy sensor

(2015) Qiang Cao et al.   PRECISION AGRICULTURE

Spectral reflectance is a reliable water-quality estimator for small, highly turbid wetlands

(2015) Hana Vinciková et al.   WETLANDS ECOLOGY AND MANAGEMENT

Non-destructive estimation of rice plant nitrogen status with Crop Circle multispectral active canopy sensor

(2013) Qiang Cao et al.   FIELD CROPS RESEARCH

Relationships of Spectral Vegetation Indices with Rice Biomass and Grain Yield at Different Sensor View Angles

(2011) B. Tubaña et al.   AGRONOMY JOURNAL

Estimating Rice Grain Yield Potential Using Normalized Difference Vegetation Index

(2011) D. L. Harrell et al.   AGRONOMY JOURNAL

In situ estimation of water quality parameters in freshwater aquaculture ponds using hyperspectral imaging system

(2011) Amr Abd-Elrahman et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Extracting Red Edge Position Parameters from Ground- and Space-Based Hyperspectral Data for Estimation of Canopy Leaf Nitrogen Concentration in Rice

(2011) Yongchao Tian et al.   PLANT PRODUCTION SCIENCE

Remote estimation of gross primary productivity in soybean and maize based on total crop chlorophyll content

(2011) Yi Peng et al.   REMOTE SENSING OF ENVIRONMENT

Plant nitrogen concentration in paddy rice from field canopy hyperspectral radiometry

(2009) Daniela Stroppiana et al.   FIELD CROPS RESEARCH

Recommendations for nitrogen fertiliser topdressing rates in rice using canopy reflectance spectra

(2008) Lihong Xue et al.   BIOSYSTEMS ENGINEERING

Towards red‐edge positions less sensitive to canopy biophysical parameters for leaf chlorophyll estimation using properties optique spectrales des feuilles (PROSPECT) and scattering by arbitrarily inclined leaves (SAILH) simulated data

(2008) M. A. Cho et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Adjusting Midseason Nitrogen Rate Using a Sensor-Based Optimization Algorithm to Increase Use Efficiency in Corn

(2008) B. S. Tubaña et al.   JOURNAL OF PLANT NUTRITION