县域冬小麦生物量动态变化遥感估测研究
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摘要
为给生产管理中及时掌握县域冬小麦长势的动态变化提供有效手段,以江苏省沭阳县为研究区,基于冬小麦生物量形成的生理生态过程,重构冬小麦生物量遥感估测模型。选用两景不同时相的HJ星影像数据,利用植被指数反演的LAI数据,对冬小麦生物量模型进行参数修订,并对县域冬小麦拔节期生物量的空间分布进行估测。在此基础上,进一步估测冬小麦抽穗期生物量分布特征及其动态变化特点。结果表明:(1)冬小麦拔节期生物量估测值和观测值范围分别为2 054.3~4 828.3和1 962.5~4 568.4kg·hm-2,平均值分别为3 148和3 045.5kg·hm-2,RMSE为214.8kg·hm-2,决定系数为0.919 1,表明冬小麦生物量模型模拟精度较好;(2)冬小麦抽穗期生物量较拔节期发生明显变化,其中长势变化快的田块面积为20 108.7hm2,占总种植面积的23.4%。春季气候因素的转好以及肥水措施的实施对冬小麦营养与生殖共生阶段的生长起到明显促进作用。说明本研究提出的基于遥感反演信息与生长模型协同的冬小麦生物量估测方法能有效估测县域冬小麦不同生长时期生物量的空间分布及其动态变化。
Gaining spatial information of winter wheat biomass and its dynamic changes in different periods timely with large area,is helpful to grasp the dynamic change of county winter wheat growth and provide reference for the management of winter wheat production.In this study,the remote sensing estimation model for winter wheat biomass was reconstructed based on the physiological and ecological processes of winter wheat biomass formation.The two scenes in different phases of HJ satellite image data was selected in Shuyang county of Jiangsu province,and then the parameter revision of winter wheat biomass model was modified by using LAI data retrieved from vegetation index.And the spatial distribution of winter wheat at jointing stage was estimated.On this basis,we further estimated the winter wheat biomass distribution and dynamic characteristics at heading stage.The results showed that the forecasted and observed biomass of winter wheat were 2 054.3-4 828.3 kg·hm-2 and1 962.5-4 568.4 kg·hm-2,respectively.Their average biomass was 3 148 and 3 045.5 kg·hm-2,respectively.The RMSE was 214.8 kg·hm-2 and winter wheat biomass model has high estimation accuracy.According to the remote sensing monitoring of winter wheat biomass at heading stage,the biomass of heading stage was significantly higher than that of jointing stage.Among them,the area of farmland with fast change of winter wheat growth was 20 108.7 hm2,accounting for 23.4% of the total planting area.The improvement of climatic factors in spring and the implementation of water and fertilizer played a significant role in promoting the growth of winter wheat nutrition and reproduction.The winter wheat biomass estimation method,based on remote sensing retrieval information and growth model,can estimate the biomass of winter wheat in spatial distribution and dynamic changes of different growth stages.
Gaining spatial information of winter wheat biomass and its dynamic changes in different periods timely with large area,is helpful to grasp the dynamic change of county winter wheat growth and provide reference for the management of winter wheat production.In this study,the remote sensing estimation model for winter wheat biomass was reconstructed based on the physiological and ecological processes of winter wheat biomass formation.The two scenes in different phases of HJ satellite image data was selected in Shuyang county of Jiangsu province,and then the parameter revision of winter wheat biomass model was modified by using LAI data retrieved from vegetation index.And the spatial distribution of winter wheat at jointing stage was estimated.On this basis,we further estimated the winter wheat biomass distribution and dynamic characteristics at heading stage.The results showed that the forecasted and observed biomass of winter wheat were 2 054.3-4 828.3 kg·hm-2 and1 962.5-4 568.4 kg·hm-2,respectively.Their average biomass was 3 148 and 3 045.5 kg·hm-2,respectively.The RMSE was 214.8 kg·hm-2 and winter wheat biomass model has high estimation accuracy.According to the remote sensing monitoring of winter wheat biomass at heading stage,the biomass of heading stage was significantly higher than that of jointing stage.Among them,the area of farmland with fast change of winter wheat growth was 20 108.7 hm2,accounting for 23.4% of the total planting area.The improvement of climatic factors in spring and the implementation of water and fertilizer played a significant role in promoting the growth of winter wheat nutrition and reproduction.The winter wheat biomass estimation method,based on remote sensing retrieval information and growth model,can estimate the biomass of winter wheat in spatial distribution and dynamic changes of different growth stages.
引文
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[13]庄东英,李卫国,武立权.冬小麦生物量卫星遥感估测研究[J].干旱区资源与环境,2013,27(10):159.ZHUANG D Y,LI W G,WU L Q.Estimating winter wheat biomass based on satellite remote sensing[J].Journal of Arid Land Resources and Environment,2013,27(10):159.
[14]高亮之,金之庆,郑国清,等.小麦栽培模拟优化决策系统(WCSODS)[J].江苏农业学报,2000,16(2):68.GAO L Z,JIN Z Q,ZHENG G Q,et al.Wheat cultivation simulation-optimization-decision making system(WCSODS)[J].Jiangsu Journal of Agriculture and Sciense,2000,16(2):68.
[15]李卫国,王纪华,李存军,等.冬小麦花期生理形态指标与卫星遥感光谱特征的相关性分析[J].麦类作物学报,2009,29(1):82.LI W G,WANG J H,LI C J,et al.Correlation relationship between satellite remote sensing spectral information and eco-physiology indexes of winter wheat at flowering period[J].Journal of Triticeae Crops,2009,29(1):82.
[16]葛广秀,李卫国,景元书.基于NDVI密度分割的冬小麦种植面积提取[J].麦类作物学报,2014,34(7):997.GE G X,LIW G,JING Y S.Area of winter wheat extracted on NDVI density slicing[J].Journal of Triticeae Crops,2014,34(7):997.
[17]李卫国,王纪华,赵春江,等.基于定量遥感反演与生长模型耦合的水稻产量估测研究[J].农业工程学报,2008,24(7):130.LI W G,WANG J H,ZHAO C J,et al.Estimating rice yield based on quantitative remote sensing inversion and growth model coupling[J].Transactions of the CSAE,2008,24(7):130.
[18]黄彦,朱艳,王航,等.基于遥感与模型耦合的冬小麦生长预测[J].生态学报,2011,31(4):1082.HUANG Y,ZHU Y,WANG H,et al.Predicting winter wheat growth based on integrating remote sensing and crop growth modeling techniques[J].Acta Ecologica Sinica,2011,31(4):1082.
[2]王航,朱艳,马孟莉,等.基于更新和同化策略相结合的遥感信息与水稻生长模型耦合技术的研究[J].生态学报,2012,(14):4506.WANG H,ZHU Y,MA M L,et al.Coupling remotely sensed information with a rice growth model by combining updating and assimilation strategies[J].Acta Ecologica Sinica,2012,32(14):4506.
[3]侯学会,牛铮,黄妮,等.小麦生物量和真实叶面积指数的高光谱遥感估算模型[J].国土资源遥感,2012,95(4):34.HOU X H,NIU Z,HUANG N,et al.The hyperspectral remote sensing estimation models of total biomass and true LAI of wheat[J].Remote Sensing for Land&Resources,2012,95(4):34.
[4]姜志伟,陈仲新,任建强,等.粒子滤波同化方法在CERESWheat作物模型估产中的应用[J].农业工程学报,2012,(14):138.JIANG Z W,CHEN Z X,REN J Q,et al.Estimation of crop yield using CERES-Wheat model based on particle filter data assimilation method[J].Transactions of the Chinese Society of Agricultural Engineering(Transactions of the CSAE),2012,28(14):138.
[5]陈雪洋,蒙继华,杜鑫,等.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[J].国土资源遥感,2010,84(2):58.CHEN X Y,MENG J H,DU X,et al.The monitoring of the winter wheat leaf area index based on HJ-1CCD dada[J].Remote Sensing for Land&Resources,2010,84(2):58.
[6]王备战,冯晓,温暖,等.基于SPOT-5影像的冬小麦拔节期生物量及氮积累量监测[J].中国农业科学,2012,45(15):3055.WANG B Z,FENG X,WEN N,et al.Monitoring biomass and N accumulation at jointing stage in winter wheat based on SPOT-5images[J].Scientia Agricultura Sinica,2012,45(15):3055.
[7]金正婷.利用卫星遥感估测冬小麦长势和赤霉病的研究[D].南京:南京信息工程大学,2016:30.JIN Z T.Study on estimating winter wheat growth and Fusarium head blight using satellite remote sensing[D].Nanjing:Nanjing University of Information Science and Technology,2016:30.
[8]刘峰,李存军,董莹莹,等.基于遥感数据与作物生长模型同化的作物长势监测[J].农业工程学报,2011,27(10):105.LIU F,LI C J,DONG Y Y,et al.Monitoring crop growth based on assimilation of remote sensing data and crop simulation model[J].Transactions of the CSAE,2011,27(10):105.
[9]葛广秀.冬小麦长势与纹枯病遥感监测研究[D].南京:南京信息工程大学,2015:27.GE G X.The study on monitoring winter wheat growth and rhizoctoniasolani based on remote sensing[D].Nanjing:Nanjing University of Information Science and Technology,2015:27.
[10]李卫国,王纪华,赵春江,等.基于遥感信息和产量形成过程的小麦估产模型[J].麦类作物学报,2007,27(5):907.LI W G,WANG J H,ZHAO C J,et al.A model of estimating winter wheat yield based on TM image and yield formation[J].Journal of Triticeae Crops,2007,27(5):907.
[11]李存军,王纪华,王娴,等.遥感数据和作物模型集成方法与应用前景[J].农业工程学报,2008,24(11):295.LI C J,WANG J H,WANG X,et al.Methods for integration of remote sensing data and crop model and their prospects in agricultural application[J].Transactions of the CSAE,2008,24(11):295.
[12]李卫国,李花.利用HJ-1A卫星遥感影像进行水稻产量分级监测预报研究[J].中国水稻科学,2010,24(4):386.LI W G,LI H.Estimating rice yield by HJ-1Asatellite images[J].Chinese Journal of Rice Science,2010,24(4):386.
[13]庄东英,李卫国,武立权.冬小麦生物量卫星遥感估测研究[J].干旱区资源与环境,2013,27(10):159.ZHUANG D Y,LI W G,WU L Q.Estimating winter wheat biomass based on satellite remote sensing[J].Journal of Arid Land Resources and Environment,2013,27(10):159.
[14]高亮之,金之庆,郑国清,等.小麦栽培模拟优化决策系统(WCSODS)[J].江苏农业学报,2000,16(2):68.GAO L Z,JIN Z Q,ZHENG G Q,et al.Wheat cultivation simulation-optimization-decision making system(WCSODS)[J].Jiangsu Journal of Agriculture and Sciense,2000,16(2):68.
[15]李卫国,王纪华,李存军,等.冬小麦花期生理形态指标与卫星遥感光谱特征的相关性分析[J].麦类作物学报,2009,29(1):82.LI W G,WANG J H,LI C J,et al.Correlation relationship between satellite remote sensing spectral information and eco-physiology indexes of winter wheat at flowering period[J].Journal of Triticeae Crops,2009,29(1):82.
[16]葛广秀,李卫国,景元书.基于NDVI密度分割的冬小麦种植面积提取[J].麦类作物学报,2014,34(7):997.GE G X,LIW G,JING Y S.Area of winter wheat extracted on NDVI density slicing[J].Journal of Triticeae Crops,2014,34(7):997.
[17]李卫国,王纪华,赵春江,等.基于定量遥感反演与生长模型耦合的水稻产量估测研究[J].农业工程学报,2008,24(7):130.LI W G,WANG J H,ZHAO C J,et al.Estimating rice yield based on quantitative remote sensing inversion and growth model coupling[J].Transactions of the CSAE,2008,24(7):130.
[18]黄彦,朱艳,王航,等.基于遥感与模型耦合的冬小麦生长预测[J].生态学报,2011,31(4):1082.HUANG Y,ZHU Y,WANG H,et al.Predicting winter wheat growth based on integrating remote sensing and crop growth modeling techniques[J].Acta Ecologica Sinica,2011,31(4):1082.