Monitoring vegetation coverage variation of winter wheat by low-altitude UAV remote sensing system

被引：0
作者：
Li, Bing [1 ,2 ]
Liu, Rongyuan [1 ,2 ]
Liu, Suhong [1 ,2 ]
Liu, Qiang [2 ,3 ]
Liu, Feng [1 ,2 ]
Zhou, Gongqi [1 ,2 ]
机构：
[1] School of Geography, Beijing Normal University, 100875, Beijing
[2] State Key laboratory of Remote Sensing Science, Beijing Normal University, 100875, Beijing
[3] College of Global Change and Earth System Science, Beijing Normal University
来源：
Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering | 2012年 / 28卷 / 13期
关键词：
Fractional vegetation coverage; Monitoring; Remote sensing; Unmanned aerial vehicles (UAV); Winter wheat;
D O I：
10.3969/j.issn.1002-6819.2012.13.026
中图分类号：
学科分类号：
摘要：
As a complement to satellite observation, the technique of Unmanned Aerial Vehicle (UAV) shows great advantages in monitoring crop stages at a large scale because of its high spatiotemporal resolutions, low cost and risk in field measurements. With the objective to validate the availability of UAV in reality, this paper designed and established a low-altitude land surface UAV observation system consisted of a UAV platform and a multispectral camera to obtain images of winter wheat at its five growth stages. On basis of these images, this paper proposed a new approach that using time-series histograms of vegetation index to refine the threshold value in the VI-threshold method for extracting vegetated pixels from images. The results show that the UAV system is available to obtain surface images feasibly and the new vegetated pixel retrieval method can provide reasonable fractional vegetation cover (FVC) which is generally consistent with the five growth stages of the winter wheat. Moreover, this paper also investigated the spatial scaling effects of estimate FVC using the images from the UAV system.
引用
收藏
页码：160 / 165
页数：5
相关论文
共 30 条
  • [1] Zhou J., Gong J., Wang T., Et al., Study on UAV remote sensing image acquiring and visualization management system for the area affected by 5·12 Wenchuan earthquake, Journal of Remote Sensing, 12, 6, pp. 877-884, (2008)
  • [2] Shi G., Liu Y., The application of UAV remote sensing system in maritime control activities, Chinese Maritime, 4, pp. 29-32, (2011)
  • [3] Ma R., Sun H., Lin Z., Et al., Geometric correction and registration of optical remote sensing image from miniature unmanned aerial vehicle, Journal of Nanjing Institute of Meteorology, 28, 5, pp. 633-639, (2005)
  • [4] Cui H., Lin Z., Sun J., Research on UAV remote sensing system, Bulletin of Surveying and Mapping, 5, pp. 11-14, (2005)
  • [5] Song S., Jiao J., Zhang Z., Et al., Improved algorithm of the real-time trajectory display of remote sensing UAV based on mapobjects, Remote Sensing Information, 6, pp. 19-23, (2007)
  • [6] Ma R., Ma S., Wang L., Et al., Preliminary experiment of forest fire monitoring system on unmanned aerial vehicle, Meteorological Science and Technology, 36, 1, pp. 100-104, (2008)
  • [7] Li Y., Xu W., Wu W., Application research on aviation remote sensing UAV for disaster monitoring, Journal of Catastrophology, 26, 1, pp. 138-143, (2011)
  • [8] Lei T., Gong A., Li C., Et al., Application of UAV remote sensing system monitoring in the low-temperature and frozen ice-snow disaster, Journal of Anhui Agricultural Sciences, 39, 4, (2011)
  • [9] Ma L., Ma R., Lin Z., Et al., Preliminary application of mini-UAV in remote sensing, Journal of Guangxi Meteorology, 26, SUPPL.1, pp. 180-181, (2005)
  • [10] Zhou X., Overview of UAV TT&C and information transmission technology development, Radio Engineering of China, 38, 1, pp. 30-33, (2008)
123