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Remote Estimation of Leaf and Canopy Water Content in Winter Wheat with Different Vertical Distribution of Water-Related Properties

Shishi Liu, Yi Peng, Wei Du, Yuan Le, Lu Li
2015 Remote Sensing  
This study analyzed the vertical distribution of gravimetric water content (GWC), relative water content (RWC), and equivalent water thickness (EWT) in winter wheat during heading and early ripening stages  ...  , and evaluated the position of leaf number at which Vegetation Indexes (VIs) can best retrieve canopy water-related properties of winter wheat.  ...  Wei Du, Yuan Le, and Lu Li took the measurements and processed data used in this paper. Conflicts of Interest The authors declare no conflicts of interest. Remote Sens. 2015, 7  ... 
doi:10.3390/rs70404626 fatcat:mv6c5ul53nck7a7tucdcqdnxpu

Physically-Based Retrieval of Canopy Equivalent Water Thickness Using Hyperspectral Data

Matthias Wocher, Katja Berger, Martin Danner, Wolfram Mauser, Tobias Hank
2018 Remote Sensing  
Therefore, in this study the Beer-Lambert law is applied to inversely determine water content information in the 930 to 1060 nm range of canopy reflectance from measured winter wheat and corn spectra collected  ...  water thickness on leaf level (EWT) which is upscaled to canopy water content (CWC) by multiplication of the leaf area index (LAI).  ...  The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.  ... 
doi:10.3390/rs10121924 fatcat:amshzb5mgfewzd2ic2l4y2mcg4

Simulation and Verification of Vertical Heterogeneity Spectral Response of Winter Wheat Based on the mSCOPE Model

Linsheng Huang, Yuanyuan Zhang, Guijun Yang, Dong Liang, Heli Li, Zhenhai Li, Xiaodong Yang
2020 Sensors  
Effects of winter wheat on spectrum were studied when input different structure parameters (e.g., leaf area index (LAI)) and physicochemical parameters (e.g., chlorophyll content (Chla+b) and water content  ...  Vertical heterogeneity of the biochemical characteristics of crop canopy is important in diagnosing and monitoring nutrition, disease, and crop yield via remote sensing.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s20164570 pmid:32824031 pmcid:PMC7472204 fatcat:x7ososulmbahzjo2p3cvtcybsu

A Leaf Layer Spectral Model for Estimating Protein Content of Wheat Grains [chapter]

Chun-Hua Xiao, Shao-Kun Li, Ke-Ru Wang, Yan-Li Lu, Jun-Hua Bai, Rui-Zhi Xie, Shi-Ju Gao, Qiong Wang, Fang-Yong Wang
2011 IFIP Advances in Information and Communication Technology  
The spectral signatures of crop canopies in the field provide much information relating morphological or quality characteristics of crops to their optical properties.  ...  This experiment was conducted using two winter-wheat (Triticum aestivum) cultivars, Jingdong8 (with erect leaves) and Zhongyou9507 (with horizontal leaves).  ...  The leaf slice method of wheat canopy: whole (plant) wheat samples 0.5m long and 0.8m wide were chosen; based on the vertical distribution of wheat canopy, the samples were measured off the whole wheat  ... 
doi:10.1007/978-3-642-18369-0_3 fatcat:r54f5hpcubebzbbccmhz5wzpsu

Nitrogen vertical distribution by canopy reflectance spectrum in winter wheat

W J Huang, Q Y Yang, D L Peng, L S Huang, D Y Zhang, G J Yang
2014 IOP Conference Series: Earth and Environment  
Thus, timely measurement of vertical distribution of foliage nitrogen content is critical for growth diagnosis, crop management and reducing environmental impact.  ...  These results suggest that it is feasible to measure foliage nitrogen vertical-layer distribution in a large scale by remote sensing.  ...  In years of 2004 and 2007, winter wheat cultivars with different canopy geometry structure were used in the experiment.  ... 
doi:10.1088/1755-1315/17/1/012051 fatcat:yfqsw4wq5rhpfkh2ibefhjj5zy

Remote sensing of LAI, chlorophyll and leaf nitrogen pools of crop- and grasslands in five European landscapes

E. Boegh, R. Houborg, J. Bienkowski, C. F. Braban, T. Dalgaard, N. van Dijk, U. Dragosits, E. Holmes, V. Magliulo, K. Schelde, P. Di Tommasi, L. Vitale (+3 others)
2012 Biogeosciences Discussions  
Leaf nitrogen and leaf surface area influence the exchange of gases between terrestrial ecosystems and the atmosphere, and play a significant role in the global cycles of carbon, nitrogen and water.  ...  contents (rmse = 719 mg m −2 ) and 51 % of measured canopy nitrogen contents (rmse = 2.7 g m −2 ).  ...  This study is a contribution to the EU Integrated Project NitroEurope (www.nitroeurope.eu), which was funded by the European Commission (project 17841-2), and to the project "Remote sensing of leaf nutrition  ... 
doi:10.5194/bgd-9-10149-2012 fatcat:qfj2ntdd4jbyxcqrxiarzzr4cq

A method for canopy water content estimation for highly vegetated surfaces-shortwave infrared perpendicular water stress index

Abduwasit Ghulam, Zhao-Liang Li, QiMing Qin, QingXi Tong, JiHua Wang, Alimujiang Kasimu, Lin Zhu
2007 Science in China Series D Earth Sciences  
The paper concludes that SPSI has a potential in vegetation water content estimation in terms of FMC. leaf water content, shortwave infrared perpendicular water stress index (SPSI), remote estimation of  ...  Enhanced Thematic Mapper Plus (ETM+) on the basis of spectral features and distribution of surface targets with different water conditions in NIR-SWIR spectral space.  ...  -6S, and develop an index for FMC estimation based on water content distribution features in NIR-SWIR spectral space.  ... 
doi:10.1007/s11430-007-0086-9 fatcat:biuejn253fai5le3sgs2senakm

Remote sensing of LAI, chlorophyll and leaf nitrogen pools of crop- and grasslands in five European landscapes

E. Boegh, R. Houborg, J. Bienkowski, C. F. Braban, T. Dalgaard, N. van Dijk, U. Dragosits, E. Holmes, V. Magliulo, K. Schelde, P. Di Tommasi, L. Vitale (+3 others)
2013 Biogeosciences  
Selecting only homogeneous canopies with uniform CHL<sub>l</sub> distributions as reference data for evaluation, REGFLEC was able to explain 69% of LAI observations (rmse = 0.76), 46% of measured canopy  ...  chlorophyll contents (rmse = 719 mg m<sup>−2</sup>) and 51% of measured canopy nitrogen contents (rmse = 2.7 g m<sup>−2</sup>).  ...  This study is a contribution to the EU Integrated Project NitroEurope (www.nitroeurope.eu), which was funded by the European Commission (project 17841-2), and to the project "Remote sensing of leaf nutrition  ... 
doi:10.5194/bg-10-6279-2013 fatcat:z5bjdeoabzblzpr7rvif2mpyty

Microwave Vegetation Index from Multi-Angular Observations and Its Application in Vegetation Properties Retrieval: Theoretical Modelling

Somayeh Talebiesfandarani, Tianjie Zhao, Jiancheng Shi, Paolo Ferrazzoli, Jean-Pierre Wigneron, Mehdi Zamani, Peejush Pani
2019 Remote Sensing  
Validation with ground-based measurements proved this model is an efficient tool to describe the microwave emissions of corn and wheat.  ...  The vegetation optical depth (VOD), derived from passive microwave observation, is sensitive to the water content in all aboveground vegetation and could serve as complementary information to optical observations  ...  We thank all the reviewers for their careful reading of the manuscript and their constructive remarks. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs11060730 fatcat:yowkttemyncvdmauwabfs4wk2q

Modification of DAISY SVAT model for potential use of remotely sensed data

Peter van der Keur, Søren Hansen, Kirsten Schelde, Anton Thomsen
2001 Agricultural and Forest Meteorology  
Modeled soil water content, based on a Brooks and Corey [Brooks, R.H., Corey, A.T., 1964. Hydraulic properties of porous media.  ...  Soil water content is measured by time domain reflectometry. Crop dry matter content and leaf area index are modeled adequately.  ...  Per Abrahamsen (Danish Informatics Network in the Agricultural Sciences) is greatly acknowledged for his help on DAISY programming and technical advice. References  ... 
doi:10.1016/s0168-1923(00)00212-4 fatcat:qwwdwqx2ujgm5bz3wapsdxpkem

Fitted PROSAIL Parameterization of Leaf Inclinations, Water Content and Brown Pigment Content for Winter Wheat and Maize Canopies

Martin Danner, Katja Berger, Matthias Wocher, Wolfram Mauser, Tobias Hank
2019 Remote Sensing  
In this study, we exploit an extensive field dataset, including narrow-band field spectra, leaf variables and canopy properties recorded in seven individual campaigns for winter wheat (4x) and silage maize  ...  While this has worked for hundreds of studies that obtained canopy density as a one-sided Leaf Area Index (LAI) or pigment content, little is known about the role of the canopy geometrical properties specified  ...  The founding sponsors had no role in the design of the study; in the collection, analyses or interpretation of data; in the writing of the manuscript and in the decision to publish the results.  ... 
doi:10.3390/rs11101150 fatcat:b4msop7jenb7hb4fcjeoyuxm7a

A Microwave Scattering Model for Simulating the C-Band SAR Backscatter of Wheat Canopy

Wenjia Yan, Yuan Zhang, Tianpeng Yang, Xiaohui Liu
2019 American Journal of Remote Sensing  
Four C-band quad-polarized (Radarsat-2 and Gaofen-3) SAR data were used to evaluate the WCSM performance in four key growth stages of winter wheat from stem elongation to ripening in 2017.  ...  Several WCSM inputs, including wheat canopy and soil parameters, were measured in situ at the time (or near the time) of the satellite observation.  ...  Acknowledgements This work was supported by the National Natural Science Foundation of China under Grant No. 41571410.  ... 
doi:10.11648/j.ajrs.20190701.13 fatcat:ujbknmu6qrbldjq73hpmpravzq

The Application of Ground-Based and Satellite Remote Sensing for Estimation of Bio-Physiological Parameters of Wheat Grown Under Different Water Regimes

Nada Mzid, Vito Cantore, Giuseppe De Mastro, Rossella Albrizio, Sellami Mohamed Houssemeddine, Mladen Todorovic
2020 Water  
The aim of this study was to assess the performance of two remote sensing data for describing the variations of biometric and physiological parameters of durum wheat grown under different water regimes  ...  Remote sensing technologies have been widely studied for the estimation of crop biometric and physiological parameters.  ...  Acknowledgments: The research was supported by the Master of Science Program in Land and Water Resources Management of CIHEAM-IAMB (Bari, Italy).  ... 
doi:10.3390/w12082095 fatcat:sk55vas4cjch3f4yis2rf26ply

Using a Remote Sensing-Supported Hydro-Agroecological Model for Field-Scale Simulation of Heterogeneous Crop Growth and Yield: Application for Wheat in Central Europe

Tobias Hank, Heike Bach, Wolfram Mauser
2015 Remote Sensing  
pigments such as chlorophyll, and progressing phenological development with impact on leaf angle distribution [5] .  ...  These maps are used in an assimilation scheme that selects closest matches between EO and PROMET ensemble runs. Validation is provided for winter wheat (years 2004, 2010 and 2011).  ...  The enhancement of the PROMET model was supported by the German Research Foundation (DFG) in the frame of the project "Coupled Analysis of Vegetation Chlorophyll and Water Content Using Hyperspectral,  ... 
doi:10.3390/rs70403934 fatcat:mmwigfxjtbcnrhzyf7au6cg7rm

Joint Retrieval of Winter Wheat Leaf Area Index and Canopy Chlorophyll Density Using Hyperspectral Vegetation Indices

Naichen Xing, Wenjiang Huang, Huichun Ye, Yu Ren, Qiaoyun Xie
2021 Remote Sensing  
Leaf area index (LAI) and canopy chlorophyll density (CCD) are key biophysical and biochemical parameters utilized in winter wheat growth monitoring.  ...  In this study, we would like to exploit the advantages of three canonical types of spectral vegetation indices: indices sensitive to LAI, indices sensitive to chlorophyll content, and indices suitable  ...  Our thanks are also extended to the editors and the two reviewers for their valuable suggestions. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs13163175 fatcat:2qa23prmzjct3gfeb5tppppglq
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