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Estimating Leaf Chlorophyll Content Using Red Edge Parameters
Abstract Hyperspectral remote sensing makes it possible to non-destructively monitor leaf chlorophyll content (LCC). This study characterized the geometric patterns of the first derivative reflectance spectra in the red edge region of rapeseed ( Brassica napus L.) and wheat ( Triticum aestivum L.) crops. The ratio of the red edge area less than 718
Xia Yao, yan zhu
exaly +4 more sources
Local detrended fluctuation analysis for spectral red-edge parameters extraction
Nowadays, spectrum technology makes it possible to nondestructively monitor crop and provide real-time diagnostic advice. Spectral red-edge parameters are important detection target for the growth of rapeseed. In this work, we propose a new method to acquire the rapeseed’s spectral red-edge parameters based on local detrended fluctuation analysis (L ...
Fang Wang
exaly +3 more sources
Novel red-edge area indices for evaluating chlorophyll density (ChD) were developed.Optimal red-edge spectral parameters (ORSPs) were characterized and determined.Noise Equivalent (NE) model was used to evaluate the sensitivity of the ORSPs.The novel ORSPs enhances ChD estimation from hyperspectral reflectance data.
Tao Ren
exaly +3 more sources
Spectral red edge parameters for winter wheat under different nitrogen support levels
Hyperspectral remote sensing is not only an important technical method in observing global ecosystems and vegetation cover change, but also a main aspect of studies on precision agriculture. In order to monitor crop nutrient supply condition and to realize precision fertilization, spectral red edge parameter for winter wheat was studied.
Yisong Cheng +3 more
openaire +2 more sources
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IEEE Transactions on Geoscience and Remote Sensing, 2003
A correlation analysis was conducted between forest leaf area index (LAI) and two red edge parameters: red edge position (REP) and red well position (RWP), extracted from reflectance image retrieved from Hyperion data. Field spectrometer data and LAI measurements were collected within two days after the Earth Observing One satellite passed over the ...
Ruiliang Pu, Peng Gong
exaly +3 more sources
A correlation analysis was conducted between forest leaf area index (LAI) and two red edge parameters: red edge position (REP) and red well position (RWP), extracted from reflectance image retrieved from Hyperion data. Field spectrometer data and LAI measurements were collected within two days after the Earth Observing One satellite passed over the ...
Ruiliang Pu, Peng Gong
exaly +3 more sources
Real-time monitoring of leaf nitrogen (N) content by remote sensing can accurately diagnose crop nutrient status and facilitate precision N management. However, the methods used to estimate of vertically integrated leaf N content do not consider different cropping systems, in which the maize growth stages are not synchronized, resulting in decreased ...
Pengfei Wen +6 more
openaire +2 more sources
In this study, Hyperspectral data of two variety of rice (common rice and hybrid rice) in whole growing stage during 2002 and 2003 was measured using the ASD FieldSpec UV/VNIR Spectroradiometer with resolution of 3 nm, and the LAI and leaf chlorophyll content of rice agricultural parameter were obtained.
Qian Cheng, Xiuju Wu
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Timely, nondestructive and effective determination of canopy nitrogen content provides an important reference value for real-time monitoring of total nitrogen status of apple trees. Different processing methods are used to mine hyperspectral information to estimate nitrogen content.
Yufeng Peng +6 more
openaire +2 more sources
In a modeling case study it has been investigated whether it would be possible to retrieve from optical remote sensing data the (bio)physical parameters of the coupled soil-vegetation- atmosphere system that have an effect on spectral radiances detected by spaceborne sensors.
W. Verhoef
openaire +2 more sources
Red edge parameters as indicators of rice nitrogen levels
Jingfeng Huang +2 more
openaire +2 more sources

