A Comparative Study on Monitoring Leaf-scale Wheat Aphids using Pushbroom Imaging and Non-imaging ASD Field Spectrometers
文献类型: 外文期刊
作者: Zhao, Jin-Ling 1 ; Zhang, Dong-Yan 1 ; Luo, Ju-Hua 1 ; Yang, Hao 1 ; Huang, Lin-Sheng 1 ; Huang, Wen-Jiang 1 ;
作者机构: 1.Beijing Acad Agr & Forestry Sci, Beijing Res Ctr Informat Technol Agr, Beijing, Peoples R China
2.Zhejiang Univ, Inst Agr Remote Sensing & Informat Technol Applic, Hangzhou 310003, Zhejiang, Peoples R China
关键词: Leaf-scale wheat aphids;Analytical-spectral-device field spectrometer;Pushbroom imaging spectrometer
期刊名称:INTERNATIONAL JOURNAL OF AGRICULTURE AND BIOLOGY ( 影响因子:0.822; 五年影响因子:0.906 )
ISSN: 1560-8530
年卷期: 2012 年 14 卷 1 期
页码:
收录情况: SCI
摘要: Present paper provides information on comparing the spectral characteristics of leaf-scale wheat aphids using simultaneously the imaging Pushbroom Imaging Spectrometer (PIS) and non-imaging ASD (Analytical Spectral Devices) Fieldspec-FR2500 field spectrometer. Comparative results indicated that the PIS proved superior to the ASD in spectral resolution and sampling interval t it was inferior in spectral range and field of view (FOV). Moreover, corresponding spectral properties were fairly similar from ding reflectance, spectral difference and change rate and the sensitive bands and spectral ranges. Spectral curves from devices showed the typical reflectance properties of green vegetation: green peak at 550 rim, red valley at 680 rim and highly far-infrared reflectance at 780 nm. However, the specific reflectance values appeared different for four damage levels (Normal, Light, Moderate & Serious). The maximum and minimum reflectance values were respectively 41.18% and 2.36% le PIS, while they were 40.32% and 1.51% for the ASD, respectively. Specifically, in the wavelength range of 400-900 nm. Many were similar in the spectral difference and change rate. The maximum values were respectively 14.8% and 14.0% for PIS, and they were 8.7% and 20.3% for the ASD, respectively. Additionally, continuum removal was used to comparative selection of sensitive bands and ranges, which were 500 nm and 663 urn, 430-530 nm and 550-690 nm for the ASD, v they were 504 nut and 681 nm, 430-530 nm and 550-730 nm for the PIS, respectively. Finally, using the high,it ion PIS image, environment for visualizing images (ENVI-EX) was also used to extract aphids. Overall accuracy spatial thus 97%. This study can explore further investigations in precision agriculture using near-ground imaging spectrometers. (C) 2012 Friends Science Publishers
- 相关文献
作者其他论文 更多>>
-
UssNet: a spatial self-awareness algorithm for wheat lodging area detection
作者:Zhang, Jun;Wu, Qiang;Duan, Fenghui;Liu, Cuiping;Xiong, Shuping;Ma, Xinming;Cheng, Jinpeng;Feng, Mingzheng;Dai, Li;Wang, Xiaochun;Yang, Hao;Yang, Guijun;Chang, Shenglong
关键词:Unmanned aerial vehicle; State space models; Wheat lodging area identification; Semantic segmentation
-
Genotyping Identification of Maize Based on Three-Dimensional Structural Phenotyping and Gaussian Fuzzy Clustering
作者:Xu, Bo;Zhao, Chunjiang;Xu, Bo;Zhao, Chunjiang;Yang, Guijun;Zhang, Yuan;Liu, Changbin;Feng, Haikuan;Yang, Xiaodong;Yang, Hao;Xu, Bo;Zhao, Chunjiang;Yang, Guijun;Zhang, Yuan;Liu, Changbin;Feng, Haikuan;Yang, Xiaodong;Yang, Hao
关键词:tassel; 3D phenotyping; TreeQSM; genotyping; clustering
-
Estimation of Leaf Chlorophyll Content of Maize from Hyperspectral Data Using E2D-COS Feature Selection, Deep Neural Network, and Transfer Learning
作者:Chen, Riqiang;Feng, Haikuan;Hu, Haitang;Chen, Riqiang;Ren, Lipeng;Yang, Guijun;Cheng, Zhida;Zhao, Dan;Zhang, Chengjian;Feng, Haikuan;Hu, Haitang;Yang, Hao;Chen, Riqiang;Zhang, Chengjian;Ren, Lipeng;Feng, Haikuan
关键词:maize; chlorophyll; radiative transfer model; feature selection; transfer learning
-
Retrieving the chlorophyll content of individual apple trees by reducing canopy shadow impact via a 3D radiative transfer model and UAV multispectral imagery
作者:Zhang, Chengjian;Chen, Zhibo;Chen, Riqiang;Zhang, Wenjie;Zhang, Chengjian;Chen, Riqiang;Zhang, Wenjie;Zhao, Dan;Yang, Guijun;Xu, Bo;Feng, Haikuan;Yang, Hao
关键词:Chlorophyll content; Shadows; Vegetation index (VI); Radiative transfer models (RTMs); Hybrid inversion model; Individual apple tree crown
-
A robust two-stage framework for maize above-ground biomass prediction integrating spectral remote sensing and allometric growth model
作者:Yang, Mohan;Wu, Qiang;Zhang, Jun;Cheng, Jinpeng;Xiong, Shuping;Ma, Xinming;Qi, Jianbo;Yang, Guijun;Yang, Hao;Cheng, Jinpeng;Yang, Guijun;Wang, Zanpu;Wang, Zhenyu
关键词:Maize; Above-ground biomass (AGB); Radiative transfer model; Allometric growth model; Spectral remote sensing
-
Multi-Spectral Point Cloud Constructed with Advanced UAV Technique for Anisotropic Reflectance Analysis of Maize Leaves
作者:Bi, Kaiyi;Niu, Yifang;Niu, Zheng;Hao, Yishuo;Wang, Li;Yang, Hao;Hao, Yishuo
关键词:multi-spectral point cloud; UAV; oblique photography; reflectance anisotropy; Maize
-
Identification of seed maize fields from hyperspectral imagery by fusion of spectral and spatial features
作者:Cheng, Jinpeng;Cao, Xiaoyu;Wu, Qiang;Ma, Xinming;Xiong, Shuping;Cheng, Jinpeng;Yang, Hao;Zhang, Na;Yang, Guijun;Zhang, Na;Huang, Linsheng;Yan, Zhiyu;Wang, Hongbin;Yang, Guijun
关键词:Hyperspectral image classification; Seed maize; Class means matrix clustering; Morphology profiles; Machine learning



