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Original Articles

Estimation of biophysical parameters in wheat crops in Golestan province using ultra-high resolution images

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Pages 559-568 | Received 22 Jul 2017, Accepted 28 Feb 2018, Published online: 15 Mar 2018

References

  • Barati, S., B. Rayegani, M. Saati, A. Sharifi, and M. Nasri. 2011. “Comparison the Accuracies of Different Spectral Indices for Estimation of Vegetation Cover Fraction in Sparse Vegetated Areas.” The Egyptian Journal of Remote Sensing and Space Science 14: 49–56. doi:10.1016/j.ejrs.2011.06.001.
  • Bendig, J., A. Bolten, and G. Bareth. 2013. “UAV–Based Imaging for Multi–Temporal, Very High Resolution Crop Surface Models to Monitor Crop Growth Variability.” Photogrammetrie Fernerkundung Geoinformation 6: 551–562. doi:10.1127/1432-8364/2013/0200.
  • Bendig, J., A. Bolten, S. Bennertz, J. Broscheit, S. Eichfuss, and G. Bareth. 2014. “Estimating Biomass of Barley Using Crop Surface Models (Csms) Derived from UAV–Based RGB Imaging.” Remote Sensing 6 (12): 10395–10412. doi:10.3390/rs61110395.
  • Boegh, E., R. M. Houborg, J. Bienkowski, C. F. Braban, T. Dalgaard, N. van Dijk, U. Dragosits, et al. 2013. “Remote Sensing of LAI, Chlorophyll and Leaf Nitrogen Pools of Crop– And Grasslands in Five European Landscapes.” Biogeosciences (Online) 10: 6279–6307. doi:10.5194/bg–10–6279–2013.
  • Cao, Q., Z. Cui, X. Chen, R. Khosla, T. H. Dao, and Y. Miao. 2012. “Quantifying Spatial Variability of Indigenous Nitrogen Supply for Precision Nitrogen Management in Small Scale Farming.” Precision Agriculture 13: 45–61. doi:10.1007/s11119–011–9244–3.
  • Crookston, K. 2006. “A Top 10 List of Developments and Issues Impacting Crop Management and Ecology during the past 50 Years.” Crop Sciences 46: 2253–2262. doi:10.2135/cropsci2005.11.0416gas.
  • Ehlert, D., M. Heisig, and R. Adamek. 2010. “Suitability of a Laser Rangefinder to Characterize Winter Wheat.” Precision Agriculture 11 (6): 650–663. doi:10.1007/s11119-010-9191-4.
  • Eitel, J. U. H., T. S. Magney, L. A. Vierling, T. T. Brown, and D. R. Huggins. 2014. “LiDAR Based Biomass and Crop Nitrogen Estimates for Rapid, Non–Destructive Assessment of Wheat Nitrogen Status.” Field Crops Research 159: 21–32. doi:10.1016/j.fcr.2014.01.008.
  • Ewert, F., M. K. van Ittersum, T. Heckelei, O. Therond, I. Bezlepkina, and E. Andersen. 2011. “Scale Changes and Model Linking Methods for Integrated Assessment of Agri–Environmental Systems.” Agriculture, Ecosystems & Environment 142 (1–2): 6–17. doi:10.1016/j.agee.2011.05.016.
  • Hengl, T. 2006. “Finding the Right Pixel Size.” Computers & Geosciences 32 (9): 1283–1298. doi:10.1016/j.cageo.2005.11.008.
  • Honkavaara, E., H. Saari, J. Kaivosoja, I. Pölönen, T. Hakala, P. Litkey, J. Mäkynen, and L. Pesonen. 2013. “Processing and Assessment of Spectrometric, Stereoscopic Imagery Collected Using a Lightweight UAV Spectral Camera for Precision Agriculture.” Remote Sensing 5 (12): 5006–5039. doi:10.3390/rs5105006.
  • Kang, J., L. J. Wang, K. Z. Niu, M. Shakir, H. Qiao, and X. Zhao. 2016. “Identifying Crown Areas in an Undulating Area Planted with Eucalyptus Using Unmanned Aerial Vehicle Near-Infrared Imagery.” Remote Sensing Letters 7 (6): 561–570. doi:10.1080/2150704X.2016.1168947.
  • Lelong, C. C. D., P. Burger, G. Jubelin, B. Roux, S. Labbé, and F. Baret. 2008. “Assessment of Unmanned Aerial Vehicles Imagery for Quantitative Monitoring of Wheat Crop in Small Plots.” Sensors 8 (12): 3557–3585. doi:10.3390/s8053557.
  • Liu, X., L. Yu, H. Wang, L. Zhong, H. Lu, C. Yu, and P. Gong. 2017. “Exploring the Correlations between Ten Monthly Climatic Variables and the Vegetation Index of Four Different Crop Types at the Global Scale.” Remote Sensing Letters 8 (8): 752–760. doi:10.1080/2150704X.2017.1322732.
  • Mirschel, W., A. Schultz, K.-O. Wenkel, R. Wieland, and R. Poluektov. 2004. “Crop Growth Modelling on Different Spatial Scales– A Wide Spectrum of Approaches.” Archives of Agronomy and Soil Science 50 (3): 329–343. doi:10.1080/03650340310001634353.
  • Moller, M., V. Alchanatis, Y. Cohen, M. Meron, J. Tsipris., A. Naor, V. Ostrovsky, M. Sprintsin, and S. Cohen. 2007. “Use of Thermal and Visible Imagery for Estimating Crop Water Status of Irrigated Grapevine.” Journal of Experimental Botany 58 (4): 827–838. doi:10.1093/jxb/erl115.
  • Mulla, D. J. 2013. “Twenty Five Years of Remote Sensing in Precision Agriculture: Key Advances and Remaining Knowledge Gaps.” Biosystems Engineering 114 (4): 358–371. doi:10.1016/j.biosystemseng.2012.08.009.
  • Muñoz-Huerta, R. F., R. G. Guevara-Gonzalez, L. M. Contreras-Medina, I. Torres-Pacheco, J. Prado-Olivarez, and R. V. Ocampo-Velazquez. 2013. “A Review of Methods for Sensing the Nitrogen Status in Plants: Advantages, Disadvantages and Recent Advances.” Sensors 13 (12): 10823–10843. doi:10.3390/s130810823.
  • Pölönen, I., H. Saari, J. Kaivosoja, and L. L. Pesonen. 2013. “Hyperspectral Imaging Based Biomass and Nitrogen Content Estimations from Light–Weight UAV.” Paper presented at the Remote Sensing for Agriculture, Ecosystems, and Hydrology XV, Dresden, September 23. doi:10.1117/12.2028624.
  • Possoch, M., S. Bieker, G. Bareth, and D. Hoffmeister. 2016. “Multi–Temporal Crop Surface Models Combined with the RGB Vegetation Index from UAV–Based Images for Forage Monitoring in Grassland.” Paper presented at the International Archeology Photogrammetry Remote Sensing Spatial Information Science, Prague, July 12–19. doi:10.5194/isprs–archives–XLI–B1–991–2016.
  • Primicerio, J., D. Gennaro, S. Filippo, E. Fiorillo, L. Genesio, E. Lugato, A. Matese, and F. P. Vaccari. 2012. “A Flexible Unmanned Aerial Vehicle for Precision Agriculture.” Precision Agriculture 13 (4): 517–523. doi:10.1007/s11119-012-9257-6.
  • Scotford, I. M., and P. C. H. Miller. 2004. “Estimating Tiller Density and Leaf Area Index of Winter Wheat Using Spectral Reflectance and Ultrasonic Sensing Techniques.” Biosystems Engineering 89 (4): 395–408. doi:10.1016/j.biosystemseng.2004.08.019.
  • Sharifi, A., J. Amini, and R. Tateishi. 2016. “Estimation of Forest Biomass Using Multivariate Relevance Vector Regression.” Photogrammetric Engineering & Remote Sensing 82 (1): 41–49. doi:10.14358/PERS.83.1.41.
  • Tanaka, S., K. Kawamura, M. Maki, Y. Muramoto, K. Yoshida, and T. Akiyama. 2015. “Spectral Index for Quantifying Leaf Area Index of Winter Wheat by Field Hyperspectral Measurements: A Case Study in Gifu Prefecture, Central Japan.” Remote Sensing 7 (12): 5329–5346. doi:10.3390/rs70505329.
  • Thoele, H., and D. Ehlert. 2010. “Biomass Related Nitrogen Fertilization with a Crop Sensor.” Applied Engineering in Agriculture Journal 26 (5): 769–775. doi:10.13031/2013.34937.
  • Verger, A., N. Vigneau, C. Chéron, J.-M. Gilliot, A. Comar, and F. Baret. 2014. “Green Area Index from an Unmanned Aerial System over Wheat and Rapeseed Crops.” Remote Sensing of Environment 152: 654–664. doi:10.1016/j.rse.2014.06.006.
  • Watanabe, M., M. Shimada, A. Rosenqvist, and T. Moriyama. 2006. “Forest Structure Dependency of the Relation between L–Band and Biophysical Parameters.” IEEE Transactions on Geoscience and Remote Sensing 44 (11): 3154–3165. doi:10.1109/TGRS.2006.880632.
  • Zhang, C., H. Ren, Q. Qin, and O. K. Ersoy. 2017. “A New Narrow Band Vegetation Index for Characterizing the Degree of Vegetation Stress Due to Copper: The Copper Stress Vegetation Index (CSVI).” Remote Sensing Letters 8 (6): 576–585. doi:10.1080/2150704X.2017.1306135.
  • Zhang, C., and J. M. Kovacs. 2012. “The Application of Small Unmanned Aerial Systems for Precision Agriculture: A Review.” Precision Agriculture 13: 693–712. doi:10.1007/s11119-012-9274-5.
  • Zhang, Z. 2000. “A Flexible New Technique For Camera Calibration.” Ieee Transactions on Pattern Analysis and Machine Intelligence 22 (11): 1330–1334. doi: 10.1109/34.888718.
  • Zhu, Y., X. Yao, Y. C. Tian, X. J. Liu, and W. X. Cao. 2008. “Analysis of Common Canopy Vegetation Indices for Indicating Leaf Nitrogen Accumulations in Wheat and Rice.” International Journal of Applied Earth Observation and Geoinformation 10 (1): 1–10. doi:10.1016/j.jag.2007.02.006.

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