基于Landsat TM影像的冬小麦拔节期主要长势参数遥感监测

doi:10.3864/j.issn.0578-1752.2011.07.007

Abstract

Abstract: 【Objective】As the growth status of winter wheat has an important effects on grain quality, the mechanism of monitoring winter wheat growth status using remote sensing technology should be further strengthened, thus the growing information could be provided for field production management in wheat growth season.【Method】The experiment was carried out in Jiangsu province in wheat growth season during 2007-2009 to monitor the main growth status parameters at jointing stage with landsat TM images. In the experiment, 431 points have been acquired to determin the main growth status paramenters. The satellite remote sensing data were used to monitor winter wheat growth status. The relationships between the main growth status parameters, grain quality and yield parameters at jointing stage, and between main growth status parameters and satellite remote sensing variables were analyzed. Through comparing the correlation between different remote sensing variables and main growth status parameters, some variables were chosed. The quantitative relationship models were established to monitor SPAD, biomass, LAI and LNC in winter wheat using remote sensing spectral variables derived from landsat TM images,and then the established models were evaluated by coefficient of determination (R2) and root mean square error (RMSE).【Result】At wheat jointing stage, it was feasible to monitor wheat SPAD, biomass, LAI and LNC by using the satellite remote sensing variables of B5, NDVI, DSW5 and B2, respectively. After the precision of the monitoring models tested by using independent datasets in 2007 and 2008, the models could be utilized to accurately monitor the main growth status parameters in winter wheat. Based on the monitoring models, the thematic maps were producted to monitor SPAD, biomass, LAI and LNC under different grades at jointing stage with remote sensing, so as to realize the spatial quantization expression of monitored main growth status parameters.【Conclusion】The results have provided timely agricultural information for the agronomists, agricultural sector decision makers and field managers, and is convenient to make field management measures in time.

Key words: winter wheat , Landsat TM images , jointing stage , main growth status parameters , monitoring model

TAN Chang-wei; WANG Ji-hua; ZHU Xin-kai; WANG Yan; WANG Jun-chan; TONG Lu; GUO Wen-shan. Monitoring Main Growth Status Parameters at Jointing Stage in Winter Wheat Based on Landsat TM Images[J].Scientia Agricultura Sinica, 2011, 44(7): 1358-1366.

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References

[1]Kyu-Sung L, Cohen W B, Kennedy R E, Maiersperpger T K, Gower S T. Hyperspectral versus multispectral data for estimating leaf area index in four different biomes. Remote Sensing of Environment, 2004, 91(1): 508-520.
[2]谭昌伟, 王纪华, 黄义德, 黄文江, 刘良云. 运用光谱技术改进Beer-Lambert定律的定量化及其应用研究. 中国农业科学, 2005, 38(3): 498-503.
Tan C W, Wang J H, Huang Y D, Huang W J, Liu L Y. Quantitative improvement of Beer-Lambert law with spectral remote sensing technology and its application. Scientia Agricultura Sinica, 2005, 38(3): 498-503. (in Chinese)
[3]杨敏华, 赵春江, 赵永超, 刘良云, 王纪华. 用航空成像光谱数据获取田间小麦信息. 中国农业科学, 2002, 35(6): 626-631.
Yang M H, Zhao C J, Zhao Y C, Liu L Y, Wang J H. Research on a method to derive wheat canopy informatien from airborne imaging spectrometer data. Scientia Agricultura Sinica, 2002, 35(6): 626-631. (in Chinese)
[4]赵春江, 黄文江, 王纪华, 杨敏华, 薛绪掌. 不同品种、肥水条件下冬小麦光谱红边参数研究. 中国农业科学, 2002, 35(8): 980-987.
Zhao C J, Huang W J, Wang J H, Yang M H, Xue X Z. Studies on the red edge parameters of spectrum in winter wheat under different varieties, fertilizer and water treatments. Scientia Agricultura Sinica, 2002, 35(8): 980-987. (in Chinese)
[5]朱艳, 李映雪, 周冬琴, 田永超, 姚霞, 曹卫星. 稻麦叶片氮含量与冠层反射光谱的定量关系. 生态学报, 2006, 26(10): 3463-3469.
Zhu Y, Li Y X, Zhou D Q, Tian Y C, Yao X, Cao W X. Quantitative relationship between leaf nitrogen concentration and canopy reflectance spectra in rice and wheat. Acta Ecologica Sinica, 2006, 26(10): 3463-3469. (in Chinese)
[6]Babar M A, Reynolds M P, van Ginkel M, Klatt A R, Raun W R, Stone M L. Spectral reflectance to estimate genetic variation for in-season biomass, leaf chlorophyll, and canopy temperature in wheat. Crop Science, 2006, 46: 1046-1057.
[7]Crist E P, Malila W A. Temporal-spectral analysis of technique of vegetation applications of landsat// Proceeding of the 14th Symposium on Reomte Sensing of Environment. San Jose, Costa Rica, 1980: 23-30.
[8]Boegh E, Soegaard H, Broge N, Hasager C B, Jensen N O, Schelde K, Thomsen A. Airborne multispectral data for quantifying leaf area index, nitrogen concentration, and photosynthetic efficiency in agriculture. Remote Sensing of Environment, 2002, 81 (1): 179-193.
[9]Schneider S R, Mcginnis D F, Gatlin J A. Use of NOAA AVHRR visible and near-infrared data for land remote sensing//NOAA Technical Report NASS84. USDA, Washington DC, 1981.
[10]刘成林, 吴炳方. NOAA AVHRR云标识技术的应用分析. 遥感学报, 2004, 8(6): 677-687.
Liu C L, Wu B F. Application of cloud detection algorithm for the advanced very high resolution radiometer. Journal of Remote Sensing, 2004, 8(6): 677-687. (in Chinese)
[11]Tappan G G, Moore D B, Howard S M. The design and operational use of AVHRR vegetation index image for crop protection in AFRICA//Twenty-Third International Symposium on Remote Sensing of Environment. Bangkok, Thailand, 1990.
[12]江东, 王乃斌, 杨小唤, 刘红辉. NDVI曲线与农作物长势的时序互动规律. 生态学报, 2002, 22(2): 247-252.
Jiang D, Wang N B, Yang X H, Liu H H. Principles of the interaction between NDVI profile and the growing situation of crops. Acta Ecologica Sinica, 2002, 22(2): 247-252. (in Chinese)
[13]吴炳方. 中国农情遥感速报系统. 遥感学报, 2004, 8(6): 481-497.
Wu B F. China crop watch system with remote sensing. Journal of Remote Sensing, 2004, 8(6): 481-497. (in Chinese)
[14]蒙继华, 吴炳方, 李强子, 张磊. 全球农作物长势遥感监测系统的设计和实现. 世界科技研究与发展, 2006, 28(3): 41-44.
Meng J H, Wu B F, Li Q Z, Zhang L. Design and implementation of a global crop growth monitoring system by remote sensing. World Science and Technology Research and Development, 2006, 28(3): 41-44. (in Chinese)
[15]陈健, 倪绍祥, 李静静, 吴彤. 植被叶面积指数遥感反演的尺度效应及空间变异性. 生态学报, 2006, 26(5): 1502-1508.
Chen J, Ni S X, Li J J, Wu T. Scaling effect and spatial variability in retrieval of vegetation LAI from remotely sensed data. Acta Ecologica Sinica, 2006, 26(5): 1502-1508. (in Chinese)
[16]陈雪洋, 蒙继华, 杜鑫, 张飞飞, 张淼, 吴炳方. 基于环境星CCD数据的冬小麦叶面积指数遥感监测模型研究. 国土资源遥感, 2010, 84(2): 55-62.
Chen X Y, Meng J H, Du X, Zang F F, Zang M, Wu B F. The monitoring of the winter wheat leaf area index based on HJ-1 CCD dada. Remote Sensing For Land and Resources, 2010, 84(2): 55-62. (in Chinese)
[17]Dorigo W A, Zurita-Milla R, Wit A J W, Brazile J, Singh R, Schaepman M E. A review on reflective remote sensing and data assimilation techniques for enhanced agroecosystem modeling. International Journal of Applied Earth Observation and Geoinformation, 2007, 9(1): 165-193.
[18]Myneni R B, Hoffman S, Knyazikhin Y, Privette J L, Glassy J, Tian Y, Wang Y, Song X, Zhang Y, Smith G R, Lotsch A, Friedl M, Morisette J T, Votava P, Nemani R R, Running S W. Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data. Remote Sensing of Environment, 2002, 83(1): 214-231.
[19]吴炳方, 张峰, 刘成林, 张磊, 罗治敏. 农作物长势综合遥感监测方法. 遥感学报, 2004, 8(6): 498-514.
Wu B F, Zhang F, Liu C L, Zhang L, Luo Z M. An integrated method for crop condition monitoring. Journal of Remote Sensing, 2004, 8(6): 498-514. (in Chinese)
[20]宋晓宇, 王纪华, 黄文江, 阎广建, 常红. 变量施肥条件下冬小麦长势及品质差异遥感监测. 农业工程学报, 2009, 25(9): 155-162.
Song X Y, Wang J H, Huang W J, Yan G J, Chang H. Monitoring spatial variance of winter wheat growth and grain quality under variable-rate fertilization conditions by remote sensing data. Transactions of the CSAE, 2009, 25(9): 155-162. (in Chinese)
[21]谭昌伟, 周清波, 齐腊, 庄恒扬. 水稻氮素营养高光谱遥感诊断模型. 应用生态学报, 2008, 19(6): 1261-1268.
Tan C W, Zhou Q B, Qi L, Zhuang H Y. Hyperspectral remote sensing diagnosis models of rice plant nitrogen nutritional status. Chinese Journal of Applied Ecology, 2008, 19(6): 1261-1268. (in Chinese)
[22]蒙继华. 农作物长势遥感监测指标研究[D]. 北京: 中国科学院研究生院, 2006.
Meng J H. Research to crop growth monitoring indicators with remote sensing[D]. Beijing: Graduate University of Chinese Academy of Sciences, 2006. (in Chinese)
[23]蒙继华, 吴炳方, 李强子. 全国农作物叶面积指数遥感估算方法. 农业工程学报, 2007, 23(2): 160-167.
Meng J H, Wu B F, Li Q Z. Method formonitoring crop leaf area index of China using remote sensing. Transactions of the CSAE, 2007, 23(2): 160-167. (in Chinese)
[24]林忠辉, 莫兴国. NDVI 时间序列谐波分析与地表物候信息获取. 农业工程学报, 2006, 22(12): 138-144.
Lin Z H, Mo X G. Phenologies from harmonics analysis of AVHRR NDVI time series. Transactions of the CSAE, 2006, 22(12): 138-144. (in Chinese)
[25]王纪华, 李存军, 刘良云, 黄文江, 赵春江. 作物品质遥感监测预报研究进展. 中国农业科学, 2008, 41(9): 2633-2640.
Wang J H, Li C J, Liu L Y, Huang W J, Zhao C J. Progress of remote sensing monitoring and forecasting crop quality. Scientia Agricultura Sinica, 2008, 41(9): 2633-2640. (in Chinese)
[26]Hansen P M, Schjoerring J K. Reflectance measurement of canopy biomass and nitrogen status in wheat crops using normalized difference vegetation indices and partial least squares regression. Remote Sensing of Environment, 2003, 86(1): 542-553.
[27]Raymond E E J. Run-time calibration of simulation models by integrating remote sensing estimates of leaf area index and canopy nitrogen. European Journal of Agronomy, 2006, 24(1): 316-324.

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Monitoring Main Growth Status Parameters at Jointing Stage in Winter Wheat Based on Landsat TM Images

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