Abstract
In view of the problem of extensive irrigation in water diversion irrigation in Hetao irrigation area, and the problem of increasing the planting area in order to increase the output, it is necessary that building a water-saving ecological irrigation area in Hetao irrigation area. The information extraction of canal system is the precondition of precision irrigation. Compared with satellite remote sensing, unmanned aerial vehicle (UAV) remote sensing platform is easier to improve resolution and more flexible than ground station. Based on the UAV remote sensing image, the image is preprocessed with ENVI 5.1 software, and the three channels of the remote sensing image are stretched and displayed respectively, and the contrast is enhanced by combination of the three channels. In this paper, the object-oriented method is used to segment the image, and the rule-based classification method is used. Based on the separate and combined analysis of different rules, the optimal combination rule of the spectral mean value is less than 98, the minimum bounding rectangle length width ratio is between the minimum and 0.85, and the lengthening line is more than 1 m. The recognition accuracy reaches to the sublateral ditches grade ecological canal and evaluates the extraction results. The accuracy of the combined interpretation is 96.4%, which provides the information of the canal system for the management of precision irrigation.
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References
Wu, P., Jin, J., Zhao, X.: Impact of climate change and irrigation technology advancement on agricultural water use in China. Clim. Change 100(3–4), 797–805 (2010)
Gonzalez-Dugo, V., Goldhamer, D., Zarco-Tejada, P., Fereres, E.: Improving the precision of irrigation in a pistachio farm using an unmanned airborne thermal system. Irrig. Sci. 33(1), 43–52 (2015)
Khanal, S., Fulton, J., Shearer, S.: An overview of current and potential applications of thermal remote sensing in precision agriculture. Comput. Electron. Agric. 139, 22–32 (2017)
Qu, Y., Yang, X., Huang, Y.: Analysis and evaluation of water saving projects in Hetao irrigation district of inner Mongolia. J. Agric. Mach. 46(4), 70–76 (2015)
Wang, Y., Sun, Q.: Analysis of the change of groundwater level before and after the implementation of water saving reconstruction project in Hetao irrigation district. Inner Mongolia Water Resour. 3, 10–12 (2000)
He, J., Cui, Y.: Construction and operation management of farmland drainage ditch system in ecological irrigation area. Rural Water Conservancy Hydropower China 6, 1–3 (2012)
Du, J., et al.: Influence of lining of trunk canal on groundwater and ecological environment in Hetao irrigation area. J. Appl. Ecol. 22(1), 144–150 (2011)
Shi, L., Zhao, H., Li, M., Fu, Z., Li, C.: Calibration method for exterior orientation elements of vehicle mobile mapping system. J. Surv. Mapp. 44(1), 52–58 (2015)
Toschi, I., Rodríguezgonzálvez, P., Remondino, F., Minto, S., Orllandini, S., Fuller, A.: Accuracy evaluation of a mobile mapping system with advanced statistical methods. Remote Sens. Spat. Inf. Sci. 4(5), 245–253 (2015)
Masuda, H., He, J.: TIN generation and point-cloud compression for vehicle-based mobile mapping systems. Adv. Eng. Inform. 29(4), 841–850 (2015)
Gago, J., et al.: UAVs challenge to assess water stress for sustainable agriculture. Agric. Water Manag. 153, 9–19 (2015)
Liu, J., Lin, X., Hu, W.: Application and prospect of UAV remote sensing technology in agricultural investigation. Chin. Stat. 6, 40–42 (2017)
Cao, K.: Application prospect of unmanned aerial vehicle (UAV) remote sensing technology in agriculture. Hunan Agric. Mach. 44(7), 169 (2017)
Pajares, G.: Overview and current status of remote sensing applications based on unmanned aerial vehicles (UAVs). Photogram. Eng. Remote Sens. 81(4), 281–329 (2015)
Gómez-Candón, D., Castro, A., López-Granados, F.: Assessing the accuracy of mosaics from unmanned aerial vehicle (UAV) imagery for precision agriculture purposes in wheat. Precision Agric. 15(1), 44–56 (2014)
Acknowledgement
The authors express gratitude for the financial support from the National Key R&D Program of China (Grant Nos. 2016YFC0400207, 2017YFD0701003 from 2017YFD0701000, 2016YFD0200702 from 2016YFD0200700, 2018YFD0700603 from 2018YFD0700600, and 2017YFC0403203), the National Natural Science Foundation of China (Grant No. 51509248), the Jilin Province Key R&D Plan Project (Grant No. 20180201036SF), and the Chinese Universities Scientific Fund (Grant Nos. 2018QC128 and 2018SY007).
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Zhang, Z. et al. (2019). Information Extraction of Ecological Canal System Based on UAV Remote Sensing Data for Precision Irrigation. In: Bajwa, I., Kamareddine, F., Costa, A. (eds) Intelligent Technologies and Applications. INTAP 2018. Communications in Computer and Information Science, vol 932. Springer, Singapore. https://doi.org/10.1007/978-981-13-6052-7_35
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DOI: https://doi.org/10.1007/978-981-13-6052-7_35
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