您好，欢迎访问河北省农林科学院 机构知识库！
河北省农林科学院机构知识库

全部

  • 全部
  • 标题
  • 学者
  • 机构
  • 关键词

Evaluating Multispectral and Hyperspectral Satellite Remote Sensing Data for Estimating Winter Wheat Growth Parameters at Regional Scale in the North China Plain

文献类型： 外文期刊

作者： Koppe, Wolfgang 1 ; Li, Fei 4 ; Gnyp, Martin L. 1 ; Miao, Yuxin 5 ; Jia, Liangliang 1 ; Chen, Xinping 3 ; Zhang, Fusuo 3 ;

作者机构： 1.Univ Cologne, Inst Geog, GIS & RS Grp, D-50923 Cologne, Germany

2.Infoterra GmbH EADS Astrium, D-88039 Friedrichshafen, Germany

3.China Agr Univ, Coll Resources & Environm Sci, Dept Plant Nutr, Beijing 100094, Peoples R China

4.Inner Mongolia Agr Univ, Coll Ecol & Environm Sci, Hohhot 010019, Peoples R China

5.China Agr Univ, Coll Resources & Environm Sci, Agroinformat & Sustainable Dev Grp, Beijing 100193, Peoples R China

6.Hebei Acad Agr & Forestry Sci, Shijiazhuang 050051, Peoples R China

关键词： Hyperion;ALI;vegetation indices;winter wheat;biomass;nitrogen concentration;imaging spectrometry;hyperspectral;multispectral

期刊名称：PHOTOGRAMMETRIE FERNERKUNDUNG GEOINFORMATION （ 影响因子：1.85； 五年影响因子：1.091 ）

ISSN： 1432-8364

年卷期： 2010 年 3 期

页码：

收录情况： SCI

摘要： Timely monitoring of crop growth status at large scale is crucial for improving regional crop management decisions. The main objective of the recent study is a model development to predict and estimate crop parameters, here biomass, plant N concentration and plant height, based on multi- and hyperspectral satellite data. In this contribution, the focus is on relating orbital multispectral (EO-1 ALI) and hyperspectral (EO-1 Hyperion) measurements to winter wheat parameters for regional level applications. The study was conducted in Huimin County, Shandong Province of China in the growing season of 2005/2006 involving three big winter wheat fields managed by different farmers. Winter wheat growth parameters including aboveground biomass, plant N concentration and plant height were collected at different growth stages. Three different predicting models were investigated: traditional vegetation indices calculated from broad and narrow bands, and Normalized Ratio Indices (NRI) calculated from all possible two-band combinations of Hyperion between 400 and 2,500 nm. The results indicated that TVI performed best among the tested vegetation indices using either broad (R2=0.69, 0.32 and 0.64 for biomass, N concentration and plant height, respectively) or narrow (R2=0.71, 0.33 and 0.65 for biomass, N concentration and plant height, respectively) bands. The best performing Normalized Ratio Index (N RI) selected through band combination analysis were significantly better than TVI, achieving R2 of 0.83, 0.81 and 0.79 for biomass, plant N concentration and plant height, respectively. The different N RI models use wavebands from the near infrared (NIR) (centered at 874, 732, and 763 nm) and short wave infrared (SWIR) (centered at 1,225 and 1,305 nm) spectrum with varying bandwidth between 10 and 190 nm. The result of this study suggest that vegetation indices derived from NIR- and SWIR-Hyperion spectrum are better predictors of plant aboveground biomass, nitrogen concentration and plant height than indices derived from only visible spectrum. More studies are needed to further evaluate the results using data from more diverse conditions.

  • 相关文献

[1]Development and implementation of a multiscale biomass model using hyperspectral vegetation indices for winter wheat in the North China Plain. Bareth, Georg,Lenz-Wiedemann, Victoria I. S.,Koppe, Wolfgang,Gnyp, Martin L.,Bareth, Georg,Li, Fei,Lenz-Wiedemann, Victoria I. S.,Chen, Xinping,Gnyp, Martin L.,Li, Fei,Miao, Yuxin,Jia, Liangliang,Koppe, Wolfgang,Hennig, Simon D.,Jia, Liangliang,Chen, Xinping,Zhang, Fusuo,Laudien, Rainer. 2014

[2]Multi-Temporal Hyperspectral and Radar Remote Sensing for Estimating Winter Wheat Biomass in the North China Plain. Hennig, Simon D.,Koppe, Wolfgang,Gnyp, Martin L.,Bareth, Georg,Chen, Xinping,Li, Fei,Miao, Yuxin,Jia, Liangliang. 2012

[3]Nitrogen Status Estimation of Winter Wheat by Using an IKONOS Satellite Image in the North China Plain. Yu, Zihui,Li, Fei,Miao, Yuxin,Chen, Xinping,Zhang, Fusuo,Jia, Liangliang,Gnyp, Martin,Koppe, Wolfgang,Bareth, Georg. 2012

[4]ESTIMATING WINTER WHEAT BIOMASS AND NITROGEN STATUS USING AN ACTIVE CROP SENSOR. Li, Fei,Miao, Yuxin,Chen, Xinping,Bareth, Georg,Li, Fei,Zhang, Hailin,Jia, Liangliang,Bareth, Georg. 2010

[5]Estimating N status of winter wheat using a handheld spectrometer in the North China Plain. Li, Fei,Jia, Liangliang,Miao, Yuxin,Yu, Zihui,Chen, Xinping,Zhang, Fusuo,Li, Fei,Gnyp, Martin L.,Koppe, Wolfgang,Bareth, Georg,Jia, Liangliang. 2008

[6]Outdoor cultivation of Dunaliella salina KU 11 using brine and saline lake water with raceway ponds in northeastern Thailand. Wu, Zhe,Sathasivam, Ramaraj,Wu, Zhe,Ma, Chunhong,Dejtisakdi, Wipawee,Kermanee, Prasart,Arirob, Wallop,Juntawong, Niran,Juntawong, Niran. 2017

[7]Effects of litter, seed position, and water availability on establishment of seedlings for two semiarid grass species. Liu, Guixia,Wan, Liqiang,He, Feng,Tong, Zongyong,Li, Xianglin,Liu, Guixia,Liu, Zhongkuan.

[8]The Effects of Light, Temperature, and Nutrition on Growth and Pigment Accumulation of Three Dunaliella salina Strains Isolated from Saline Soil. Wu, Zhe,Duangmanee, Promchup,Juntawong, Niran,Wu, Zhe,Zhao, Pu,Ma, Chunhong. 2016

[9]Contribution of cultivar, fertilizer and weather to yield variation of winter wheat over three decades: A case study in the North China Plain. Zhang, Xiying,Sun, Hongyong,Chen, Suying,Shao, Liwei,Liu, Xiuwei,Wang, Shufen.

[10]Evaluation of a New Nutrient Management Method in Green House Gas Emission Reduction for Winter Wheat in the North China Plain. Sun, Yan-ming,Jia, Liang-liang,Han, Bao-wen,Liu, Meng-chao. 2014

[11]COMPARSION OF MULTISPECTRAL REFLECTANCE WITH DIGITAL COLOR IMAGE IN ASSESSING THE WINTER WHEAT NITROGEN STATUS. Chen, Xinping,Cui, Zhenling,Zhang, Fusuo,Jia, Liangliang,Li, Minzan. 2009

[12]Accuracy of root modeling and its potential impact on simulation of grain yield of wheat. Zhao, Zhigan,Xue, Lihua,Wu, Yongcheng,Zhang, Jingting,Wang, Zhimin,Zhao, Zhigan,Wang, Enli,Xue, Lihua,Zhang, Jingting. 2013

[13]Accuracy of root modelling and its impact on simulated wheat yield and carbon cycling in soil. Zhao, Zhigan,Xue, Lihua,Wu, Yongcheng,Zang, Hecang,Qin, Xin,Zhang, Jingting,Wang, Zhimin,Zhao, Zhigan,Wang, Enli,Qin, Xin,Xue, Lihua,Zang, Hecang,Zhang, Jingting.

作者其他论文 更多>>
置顶
购物车
反馈

© 京ICP备09089781号-29 主办单位：河北省农林科学院

学术资源： 中国农业科学院 农业专业知识服务系统 农科联盟资源共建共享平台 中国农业科技文献与信息服务平台 中国农业期刊集成服务平台