光谱学与光谱分析 |
|
|
|
|
|
Assessment of Aerial Agrichemical Spraying Effect Using Moderate-Resolution Satellite Imagery |
ZHANG Dong-yan1, 2, 3, LAN Yu-bin4, 5, WANG Xiu1, 3, ZHOU Xin-gen5, CHEN Li-ping1, 3*, LI Bin1, 3, MA Wei1, 3 |
1. Beijing Research Center for Information Technology in Agriculture, Beijing 100097, China 2. Anhui Engineering Laboratory of Agro-Ecological Big Data, Anhui University, Hefei 230601, China3. Key Laboratory of Agri-informatics, Ministry of Agriculture, Beijing 100097, China4. College of Engineering, South China Agricultural University, Guangzhou 510642, China5. Texas A&M AgriLife Research and Extension Center, Beaumont, TX 77713, USA |
|
|
Abstract Remote sensing technique can be used to examine the effects of agrichemical application on the performance of field crops at a large scale in an effort to develop precision agricultural aerial spraying technology. In this study, an airplane M-18B at the 4-m flight height was used to spray a mix of agrichemicals (a fungicide and a plant growth regulator) to control rice leaf blast disease and improve the growth vigor of rice plants in the field. After the aerial spraying, satellite imagery of tested area was acquired and processed to calculate vegetation indices (VIs). Ground agrichemical concentration data were also collected. The relationships between droplets deposition and VIs were analyzed. The results indicated that the highest correlation coefficient between single phase spectral feature (NDVI) and droplets deposition points density (DDPD, points·cm-2) was 0.315 with P-value of 0.035 while the highest correlation coefficient between temporal change characteristic (MSAVI) and droplets deposition volume density (DDVD, μL·cm-2) was 0.312 with P-value of 0.038). Rice plants with the greatest growth vigor were all detected within the spraying swath, with a gradual decrease in the vigor of rice plants with the increase of droplets drift distance. There were similar trend patterns in the changes of the spraying effects based on the spatial interpolation maps of droplets deposition data and spectral characteristics. Therefore, vegetation indexes, NDVI and MSAVI calculated from satellite imagery can be used to determine the aerial spraying effects in the field on a large scale.
|
Received: 2015-06-20
Accepted: 2015-10-25
|
|
Corresponding Authors:
CHEN Li-ping
E-mail: chenlp@nercita.org.cn
|
|
[1] Acharya K, Dutta A K, Pradhan P. Australian Journal of Crop Science, 2011, 5: 1064. [2] Mirik M, Michels G J, Jr Kassymzhanova-Mirik S, et al. Computers and Electronics in Agriculture, 2007, 57(2): 123. [3] Rakhesh Devadas. University of New England, Armidale, New South Wales, Australia, 2009. [4] Zhao Jinling, Huang Linsheng, Huang Wenjiang, et al. Europe Journal of Plant Pathology, 2014, 139: 407. [5] Lan Yubin, Thomson Steven J, Huang Yanbo, et al. Computers and Electronics in Agriculture, 2010, 74: 34. [6] Lan Yubin, Huang Yanbo, Martin Daniel E, et al. Applied Engineering in Agriculture, 2009, 25(4): 607. [7] Zhou Zhiyan, Zang Ying, Luo Xiwen, et al. Transactions of the Chinese Society of Agricultural Engineering, 2013, 29(24): 1. [8] Xue Xinyu, Lan Yubin. Transactions of the Chinese Society for Agricultural Machinery, 2013,44(5): 194. [9] Zhang Dongyan, Lan Yubin, Chen Liping, et al. Transactions of the Chinese Society of Agricultural Machinery, 2014, 45(10): 53. [10] Mirik M, Michels G J, Jr Kassymzhanova-Mirik S, et al. Computers and Electronics in Agriculture, 2006, 5: 86. [11] Huang Wenjiang, Lamb David W, Niu Zheng, et al. Precision Agriculture, 2007, 8: 187. [12] Yang Chwen-ming. Precision Agriculture, 2009, 11(1): 61. [13] Larsolle A, Muhammed H H. Precision Agriculture, 2007, 8: 37. [14] Huang Linsheng, Zhao Jinling, Zhang Dongyan, et al. International Journal of Agriculture and Biology, 2012, 14: 697. [15] Zhang Minghua, Qin Zhihao, Liu Xue. International Journal of Applied Earth Observation and Geoinformation, 2003, 4(4): 295. [16] Qin Zhihao, Zhang Minghua. International Journal of Applied Earth Observation and Geoinformation, 2005, 7: 115. [17] Huang Y, Thomson S J, Ortiz B V, et al. Biosystems Engineering, 2010, 107(3): 212. [18] Ortiz B V, Thomson S J, Huang Y, et al. Computers and Electronics in Agriculture, 2011, 77(2): 204. [19] Huang Y, Thomson S J, Hoffman W C, et al. International Journal of Agricultural and Biological Engineering, 2013, 6(3): 1. [20] Zhang H, Lan Y, Lacey R, et al. International Journal of Agricultural and Biological Engineering, 2009, 2: 1. [21] Zhang Jingcheng, Huang Wenjiang, Li Jiangyuan, et al. Precision Agriculture, 2010,12(5): 716. [22] Yuan Lin, Zhang Jingcheng, Shi Yeyin, et al. Remote Sensing, 2014, 6: 3611. [23] http://www.cresda.com/. [24] Zhang Jingcheng, Pu Ruiliang, Yuan Lin, et al. PLoS ONE, 2014, 9(4): e93107. [25] Yuan Lin, Zhang Jingcheng, Zhao Jinling, et al. Optik, 2013, 124: 4734. [26] Tyler J Nigon, David J Mulla, Carl J Rosen, et al. Computers and Electronics in Agriculture, 2015, 112: 36. [27] Maurer. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-1/W1, ISPRS Hannover Workshop, 21- 24 May 2013, Hannover, Germany. |
[1] |
CHEN Hao1,2,JU Yu1,HAN Li1,LIU Jun-biao1. Effects of Temperature of Laser Shell on Background Signals for Trace Gas Detection in TDLAS[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(06): 1670-1674. |
[2] |
LI Zhe1, 2, ZHANG Fei1, 2, 3*, CHEN Li-hua4, ZHANG Hai-wei1, 2. Research on Spectrum Variance of Vegetation Leaves and Estimation Model for Leaf Chlorophyll Content Based on the Spectral Index[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(05): 1533-1539. |
[3] |
SUN Gui-fen1, QIN Xian-lin1*, YIN Ling-yu1, LIU Shu-chao1, LI Zeng-yuan1, CHEN Xiao-zhong2, ZHONG Xiang-qing2. Changes Analysis of Post-Fire Vegetation Spectrum and Index Based on Time Series GF-1 WFV Images[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(02): 511-517. |
[4] |
CHANG Hao-xue1, CAI Xiao-bin2, CHEN Xiao-ling1, 3*, SUN Kun1. Response Characteristics Analysis of Different Vegetation Indices to Leaf Area Index of Rice[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(01): 205-211. |
[5] |
MA Shuang, HAN Yang*, HUANG Meng-xue, WANG Ying, WU Miao-miao, JIN Lun. Study on Information and Model of High Polarization Hyperspectral about Vegetation-Soil Mixed Pixels Based on Different Vegetation Indices[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(11): 3549-3556. |
[6] |
LI Shu-cheng1, WANG Yun1*, CUI Han1, QIU Li-rong1, ZHAO Wei-qian1, ZHU Ke2. Laser Confocal Raman Spectroscopy Imaging Technology and System with Anti-Drift Function[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(10): 3249-3254. |
[7] |
LI Zhe1, 2, GUO Xu-dong1*, GU Chun2, ZHAO Jing3 . A New Vegetation Index Infusing Visible-Infrared Spectral Absorption Feature for Natural Grassland FAPAR Retrieval [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(03): 859-864. |
[8] |
HU Yong-xiang1, LIU Rong1*, ZHANG Wen2, XU Ke-xin1 . Application of Two-Dimensional Near-Infrared Correlation Spectroscopy in the Specificity Analysis of Noninvasive Blood Glucose Sensing [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(02): 491-496. |
[9] |
CUI Han1, WANG Yun1*, QIU Li-rong1, ZHAO Wei-qian1, ZHU Ke2 . Confocal Raman Spectroscopy Method Based on Quadratic Curve Fitting [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(12): 3958-3962. |
[10] |
ZHAI Yang1, 2, XIAO Dong1, 2, LI Bo1, 2, ZHU Ri-hong3 . A Research on Filed-of-View (FOV) Widening and Thermal-Phase-Drift (TPD) Compensating Technology Applied in a Polarized Interference Imaging Spectrometer (PIIS)[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(11): 3720-3725. |
[11] |
WANG Guang-hua1,2, ZHAO Hui-qiong1,2, DENG Rong-bin1, DUAN Yu1,2, SUN Hao1, ZHANG Xiao-dan1,2, ZHOU Qin1, QIAN Jin-mei1, WAN Rui-min1,2, JI Hua-xia1, JI Rong-bin2. Research on the Preparation and Chromaticity Coordinates Shift Mechanism of Organic White Light Top-Emitting Devices[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(11): 3758-3763. |
[12] |
HUANG Ren-shuai, GUO Xiao-yang, MENG Qing-long, ZHANG Bin* . Study on Output Frequency Stability for Optically Pumped THz Lasers [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(09): 2755-2759. |
[13] |
WANG Hong1, 2, SHI Run-he1, 2, 3*, LIU Pu-dong1, 2, GAO Wei1, 2, 3, 4 . Dual NDVI Ratio Vegetation Index: A Kind of Vegetation Index Assessing Leaf Carotenoid Content Based on Leaf Optical Properties Model [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(07): 2189-2194. |
[14] |
XIE Xiao-yan1, LIU Yong-mei1*, LI Jing-zhong1, 2, CHANG Wei1, WANG Ling1. Remote Sensing Estimation of Plant Litter Cover Based on the Spectra of Plant Litter-Soil Mixed Scenes[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(07): 2217-2223. |
[15] |
WANG Fei1,2, DING Jian-li1,2*. Soil Salinity Modelling Study with Salinity Inference Model Based on the Integration of Soil and Vegetation Spectrum in Arid Land[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(06): 1848-1853. |
|
|
|
|