Adcancement in Application of UAV Remote Sensing to Monitoring of Farmlands
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National Key R&D Program of China(No.2016YFD0300601),135 Plan and Innovation Program of ISSCAS(No.ISSASIP1661)

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    Abstract:

    Fast and real-time acquisition of farmland information is the basis of precision farming. The technology of using unmanned aerial vehicle (UAV) as a platform for low-altitude remote sensing of farmlands features high spatial resolution, real-time and low cost, and can be used to fill the gas between field survey and high-altitude remote sensing in measuring scale. Therefore, the technology has a wide prospect in application to accurate monitoring of farmlands for real-time information. In recent years, with the technology advancing rapidly, UAV is more stable in flight and easier to operate, and airborne remote sensing equipment is getting light and diversified, capable of acquiring different remote sensing information such as visible light data, multispectral information, hyperspectral data and three-dimensional point cloud data. Moreover, recent development of the remote sensing data processing technology has enabled investigators to process data faster and more accurate. Hyperspectral data is well known to be abundant in information and hard to process, too. Fortunately, a number of dimensionality reduction methods have been developed. Comentropy is the most straightforward method. Principal component analysis and independent component analysis are also widely used to choose mean wave bands or vegetation indexes. There is a wavelet basis more practical for wavelet decomposition method too. Thermal infrared data is a powerful tool to reflect field temperature and moisture, and just because of this, it can also objectively reflect crop diseases and pests. Because the monitoring can cover an area as large as an entire tract of fields, even the conventional multispectral data can be interpreted into accurate information of crop growth. Three-dimensional point cloud is a newly booming data in farmland monitoring and capable of providing information of plant height and accurate position of the plant as well. So more information is available for assessing crop growing conditions. Three-dimensional point cloud can be obtained by LiDAR. The first step to process this kind of data is to remove and smooth noise points caused by system error or overlight of target surface or accidental factors, fix vulnerable and missing parts of the point cloud, and in the end fine field model is achieved. SfM features three-dimensional point cloud with real color and can be used to build a field model with visible-light images. This method uses two images as initial homologous photographs to establish a three-dimensional coordinate by feature matching, front and back rendezvous calculation. Then add in new images, find new matchable feature points and adjust them till optimum, Repeat the steps until all images are added in. All these extraordinary technological advances together make the application of UAV-based remote sensing possible in precision farming. Unmanned flying technology reduces monitoring costs for it needs less fuel and no pilot. And investigators can conduct monitoring more frequently to enhance timeliness. Suitable flight height combined with high-performance sensor makes it possible to acquire data superior in spatial resolution. For the features given above UAV-based remote sensing can fill up the gap between ground monitoring and high-altitude remote sensing, such as satellite remote sensing, in the measuring scale. Therefore, the technology has a bright application prospect in application to gathering information for precision farming. In addition this paper has also summarized findings and achievements in related researches at home and abroad, introduced the commonly used remote sensing technologies and data processing methods, as well as specific application directions and their implement effects are discussed too. This paper also addresses the existing problems and future development directions, in an attempt to promote the usage of UAV remote sensing in farmland monitoring. It is hoped that this technology can be more widely used in precision agriculture.

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JI Jingchun, ZHAO Yuan, ZOU Xiaojuan, XUAN Kefan, WANG Weipeng, LIU Jianli, LI Xiaopeng. Adcancement in Application of UAV Remote Sensing to Monitoring of Farmlands[J]. Acta Pedologica Sinica,2019,56(4):773-784.

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History
  • Received:October 10,2018
  • Revised:February 25,2019
  • Adopted:March 12,2019
  • Online: April 30,2019
  • Published: