Evaluation of Six Algorithms to Monitor Wheat Leaf Nitrogen Concentration
Published 2015 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Evaluation of Six Algorithms to Monitor Wheat Leaf Nitrogen Concentration
Authors
Keywords
-
Journal
Remote Sensing
Volume 7, Issue 11, Pages 14939-14966
Publisher
MDPI AG
Online
2015-11-11
DOI
10.3390/rs71114939
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Active canopy sensing of winter wheat nitrogen status: An evaluation of two sensor systems
- (2015) Qiang Cao et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- 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
- On the Semi-Automatic Retrieval of Biophysical Parameters Based on Spectral Index Optimization
- (2014) Juan Rivera et al. Remote Sensing
- Non-destructive estimation of rice plant nitrogen status with Crop Circle multispectral active canopy sensor
- (2013) Qiang Cao et al. FIELD CROPS RESEARCH
- Remotely detecting canopy nitrogen concentration and uptake of paddy rice in the Northeast China Plain
- (2013) Kang Yu et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Comparison of different hyperspectral vegetation indices for canopy leaf nitrogen concentration estimation in rice
- (2013) Yong-Chao Tian et al. PLANT AND SOIL
- Estimation of Leaf Area Index Using DEIMOS-1 Data: Application and Transferability of a Semi-Empirical Relationship between two Agricultural Areas
- (2013) Francesco Vuolo et al. Remote Sensing
- Estimating leaf nitrogen concentration with three-band vegetation indices in rice and wheat
- (2012) Wei Wang et al. FIELD CROPS RESEARCH
- 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
- Remote estimation of crop and grass chlorophyll and nitrogen content using red-edge bands on Sentinel-2 and -3
- (2012) J.G.P.W. Clevers et al. International Journal of Applied Earth Observation and Geoinformation
- Potential of field hyperspectral imaging as a non destructive method to assess leaf nitrogen content in Wheat
- (2011) Nathalie Vigneau et al. FIELD CROPS RESEARCH
- Estimating biophysical parameters of rice with remote sensing data using support vector machines
- (2011) XiaoHua Yang et al. Science China-Life Sciences
- Comparative analysis of three chemometric techniques for the spectroradiometric assessment of canopy chlorophyll content in winter wheat
- (2010) Clement Atzberger et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Assessing newly developed and published vegetation indices for estimating rice leaf nitrogen concentration with ground- and space-based hyperspectral reflectance
- (2010) Y.C. Tian et al. FIELD CROPS RESEARCH
- Investigation of SPAD meter-based indices for estimating rice nitrogen status
- (2009) Fen Fang Lin et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Effective forecasting of hourly typhoon rainfall using support vector machines
- (2009) Gwo-Fong Lin et al. WATER RESOURCES RESEARCH
- Using oceanic-atmospheric oscillations for long lead time streamflow forecasting
- (2009) Ajay Kalra et al. WATER RESOURCES RESEARCH
- Remote Estimation of Crop Chlorophyll Content Using Spectral Indices Derived From Hyperspectral Data
- (2008) Driss Haboudane et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Estimation of vegetation LAI from hyperspectral reflectance data: Effects of soil type and plant architecture
- (2008) Roshanak Darvishzadeh et al. International Journal of Applied Earth Observation and Geoinformation
- LAI and chlorophyll estimation for a heterogeneous grassland using hyperspectral measurements
- (2008) Roshanak Darvishzadeh et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExplorePublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More