Using Digital Cameras on an Unmanned Aerial Vehicle to Derive Optimum Color Vegetation Indices for Leaf Nitrogen Concentration Monitoring in Winter Wheat

Retrieval of Winter Wheat Leaf Area Index from Chinese GF-1 Satellite Data Using the PROSAIL Model

(2018) He Li et al.   SENSORS

Evaluation of RGB, Color-Infrared and Multispectral Images Acquired from Unmanned Aerial Systems for the Estimation of Nitrogen Accumulation in Rice

(2018) Hengbiao Zheng et al.   Remote Sensing

Monitoring of Wheat Growth Status and Mapping of Wheat Yield’s within-Field Spatial Variations Using Color Images Acquired from UAV-camera System

(2017) Mengmeng Du et al.   Remote Sensing

Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives

(2017) Guijun Yang et al.   Frontiers in Plant Science

Are vegetation indices derived from consumer-grade cameras mounted on UAVs sufficiently reliable for assessing experimental plots?

(2016) Jesper Rasmussen et al.   EUROPEAN JOURNAL OF AGRONOMY

Spatial variability of chlorophyll and nitrogen content of rice from hyperspectral imagery

(2016) Shreedevi Moharana et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Examining spectral reflectance features related to foliar nitrogen in forests: Implications for broad-scale nitrogen mapping

(2016) Lucie C. Lepine et al.   REMOTE SENSING OF ENVIRONMENT

Evaluating the robustness of models developed from field spectral data in predicting African grass foliar nitrogen concentration using WorldView-2 image as an independent test dataset

(2015) Onisimo Mutanga et al.   International Journal of Applied Earth Observation and Geoinformation

Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley

(2015) Juliane Bendig et al.   International Journal of Applied Earth Observation and Geoinformation

Evaluation of Six Algorithms to Monitor Wheat Leaf Nitrogen Concentration

(2015) Xia Yao et al.   Remote Sensing

Detecting leaf nitrogen content in wheat with canopy hyperspectrum under different soil backgrounds

(2014) X. Yao et al.   International Journal of Applied Earth Observation and Geoinformation

Combined Spectral and Spatial Modeling of Corn Yield Based on Aerial Images and Crop Surface Models Acquired with an Unmanned Aircraft System

(2014) Jakob Geipel et al.   Remote Sensing

Reflectance estimation of canopy nitrogen content in winter wheat using optimised hyperspectral spectral indices and partial least squares regression

(2013) Fei Li et al.   EUROPEAN JOURNAL OF AGRONOMY

Remote estimation of crop fractional vegetation cover: the use of noise equivalent as an indicator of performance of vegetation indices

(2013) Anatoly A. Gitelson   INTERNATIONAL JOURNAL OF REMOTE SENSING

Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps

(2012) David J. Mulla   BIOSYSTEMS ENGINEERING

Assessing leaf nitrogen content and leaf mass per unit area of wheat in the field throughout plant cycle with a portable spectrometer

(2012) Martin Ecarnot et al.   FIELD CROPS RESEARCH

A visible band index for remote sensing leaf chlorophyll content at the canopy scale

(2012) E. Raymond Hunt et al.   International Journal of Applied Earth Observation and Geoinformation

Evaluation of Broadband and Narrowband Vegetation Indices for the Identification of Archaeological Crop Marks

(2012) Athos Agapiou et al.   Remote Sensing

NIR-Green-Blue High-Resolution Digital Images for Assessment of Winter Cover Crop Biomass

(2011) E. Raymond Hunt et al.   GIScience & Remote Sensing

Integrated Soil–Crop System Management: Reducing Environmental Risk while Increasing Crop Productivity and Improving Nutrient Use Efficiency in China

(2011) Fusuo Zhang et al.   JOURNAL OF ENVIRONMENTAL QUALITY

Accurate inference of shoot biomass from high-throughput images of cereal plants

(2011) Mahmood R Golzarian et al.   Plant Methods

Long-term experiments for sustainable nutrient management in China. A review

(2010) Yuxin Miao et al.   Agronomy for Sustainable Development

Estimating the nitrogen status of crops using a digital camera

(2010) Y. Li et al.   FIELD CROPS RESEARCH

Acquisition of NIR-Green-Blue Digital Photographs from Unmanned Aircraft for Crop Monitoring

(2010) E. Raymond Hunt et al.   Remote Sensing

Reducing environmental risk by improving N management in intensive Chinese agricultural systems

(2009) X.-T. Ju et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Estimating N status of winter wheat using a handheld spectrometer in the North China Plain

(2007) Fei Li et al.   FIELD CROPS RESEARCH