JIA-2018-09

1931 Yanbo Huang et al. Journal of Integrative Agriculture 2018, 17(9): 1915–1931 Y, Fisher D K, English P J. 2012. Potential and challenges in use of thermal imaging for humid region irrigation system management. Journal of Agricultural Science , 4 , 103–116. Turner D, Lucieer A, Watson C. 2012. An automated technique for generating georectified mosaics from ultra-high resolution unmanned aerial vehicle (UAV) imagery, based on structure from motion (SfM) point clouds. Remote Sensing , 4 , 1392–1410. Verhoef W. 1984. Light scattering by leaf layers with application to canopy reflectance model: The SAIL model. Remote Sensing of Environment , 16 , 125–141. Walter V. 2004. Object-based classification of remote sensing data for change detection. Journal of Photogrammetry and Remote Sensing , 58 , 225–238. Wang D, Zheng F, Lai J, Yu T, Li J, Guo S. 2012. A new parallel algorithm based on five-layer fifteen-level remote sensing data organization. Microcomputer Information , 1 , 1–5. Wilkinson G G. 1996. A review of current issues in the integration of GIS and remote sensing data. International Journal of Geographical Information Systems , 10 , 85–101. Wolfert S, Lan G, Verdouw C, Bogaardt M. 2017. Big data in small farming-a review. Agricultural Systems , 153 , 69–80. Xu B, Yang X, Tao W, Qin Z, Liu H, Miao J, Bi Y. 2008. MODIS- based remote sensing monitoring of grass production in China. International Journal of Remote Sensing , 29 , 5313–5327. Xu B, Yang X, Tao W, Miao J, Yang Z, Liu Z, Jin Y, Zhu X, Qin Z, Lv H, Li J. 2013. MODIS-based remote-sensing monitoring of the spatiotemporal patterns of China’s grassland vegetation growth. International Journal of Remote Sensing , 34 , 3867–3878. Yao H, Huang Y. 2013. Remote sensing applications to precision farming. In: Wang G, Weng Q, eds., Remote Sensing of Natural Resources . Chap 18. CRC Press, Boca Raton, FL. pp. 333–352. Yu T, Li J, Cheng T, Hu X, Xie D, Guo H, Gu X. 2012. Data Grading Organization Method Based on Longitude and Latitude Grid . China Patent. No. CN102346923 A. 2012- 02-06. (in Chinese) Zhang C, Kovacs J M. 2012. The application of small unmanned aerial systems for precision agriculture: a review. Precision Agriculture , 13 , 693–712. Zhang L, Zhang L, Du B. 2016. Deep learning for remote sensing data: A technical tutorial on the state of the art. IEEE Geoscience and Remote Sensing Magazine , 4 , 22–40. Zhang N, Wang M, Wang N. 2002. Precision agriculture - a worldwide overview. Computers and Electronics in Agriculture , 36 , 13–132. Zhao F, Gu X, Verhoef W, Wang Q, Yu T, Liu Q. 2010. A spectral directional reflectance model of row crops. Remote Sensing of Environment , 114 , 265–285. Zhao F, Li Y, Dai X, Verhoef W, Guo Y, Shang H, Gu X, Huang H, Yu T. 2014. Simulated impact of sensor field of view and distance on field measurements of bidirectional reflectance factors for row crops. Remote Sensing of Environment, 156 , 129–142.  Section editor ZHANG Wei-li Managing editor SUN Lu-juan