Comparative analysis of vegetation indices, non-parametric and physical retrieval methods for monitoring nitrogen in wheat using UAV-based multispectral imagery

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 2016-November, Issue , 2016, Pages 7362-7365

  Liu, Yong ^a   Cheng, Tao ^a   Zhu, Yan ^a   Tian, Yongchao ^a   Cao, Weixing ^a   Yao, Xia ^a   Wang, Ni ^a  

^a NANJING AGRICULTURAL UNIVERSITY   (China)

Author keywords

LNC; multispectral imagery; non parametric; RTM; UAV; VI

Indexed keywords

EID: 85007500718     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2016.7730920     Document Type: Conference Paper

References (12)

1. R.E.E. Jongschaap, R. Booij, "Spectral measurements at different spatial scales in potato: relating leaf, plant and canopy nitrogen status," Int. J. Appl. Earth Obser.Geoinfor, 5, 205-218, 2004
2. J. Torres-Sánchez, F. López-Granados, J.M. Peña, "An automatic object-based method for optimal thresholding in UAV images: Application for vegetation detection in herbaceous crops," Computers and Electronics in Agriculture, 114, 43-52, 2015
3. F.A. Vega, F.C. Ramírez, M.P. Saiz, F.O. Rosúa, "Multitemporal imaging using an unmanned aerial vehicle for monitoring a sunflower crop," Biosystems Engineering, 132, 19-27, 2015
4. CCD. Lelong, P. Burger, G. Jubelin, B. Roux, S. Labbé, Baret, F., "Assessment of Unmanned Aerial Vehicles Imagery for Quantitative Monitoring of Wheat Crop in Small Plots," Sensors, 8, 3557-3585, 2008
5. J. Berni, P. Zarco-Tejada, L. Suarez, E. Fereres, "Thermal and narrowband multispectral remote sensing for vegetation monitoring from an Unmanned Aerial Vehicle," IEEE Trans. Geosci. Remote Sensing, 47, 722-738, 2009
6. J. Rivera Caicedo, J. Verrelst, L. Alonso, J. Moreno, G. Camps-Valls, "Toward a semiautomatic machine learning retrieval of biophysical parameters," IEEE J. Sel. Top. Appl. Earth Obs. Rem. Sens. 7 (4), 1249-1259, 2014
7. J. Uddling, J. Gelang-Alfredsson, K. Piikki, H. Pleijel, "Evaluating the relationship between leaf chlorophyll concentration and SPAD-502 chlorophyll meter readings," Photosynth Res, 91, 37-46,2007
8. J. Kelcey, A. Lucieer, "Sensor Correction of a 6-Band Multispectral Imaging Sensor for UAV Remote Sensing," Remote Sensing, 4(5), 1462-1493, 2012
9. J. Rivera Caicedo, J. Verrelst, J. Delegido, F. Veroustraete, J. Moreno, "On the semi-automatic retrieval of biophysical parameters based on spectral index optimization," Rem. Sens, 6 (6), 2866-2889, 2014b
10. J. Verrelst, J. Muñoz, L. Alonso, J. Delegido, J. Rivera, G. Camps-Valls, J. Moreno, "Machine learning regression algorithms for biophysical parameter retrieval: opportunities for sentinel-2 and-3," Rem. Sens. Environ. 118, 127-139, 2012b
11. J. Verrelst, L. Alonso, G. Camps-Valls, J. Delegido, J. Moreno, "Retrieval of vegetation biophysical parameters using Gaussian process techniques," IEEE Trans. Geosci. Rem. Sens. 50, 1832-1843, 2012a
12. Baret, F., S. Buis, Estimating canopy characteristics from remote sensing observations: Review of methods and associated problems, Advances in Land Remote Sensing: System, Modeling, Inversion and Application, 171-200, 2008.