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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

Retrieval of the Canopy Chlorophyll Density of Winter Wheat from Canopy Spectra Using Continuous Wavelet Analysis

Qingkong Cai, Erjun Li, Jiechen Pan and Chao Chen
2019 Nature Environment and Pollution Technology  
density (CCD) of winter wheat at different growth stages requires further analysis.  ...  Continuous wavelet analysis (CWA) has been applied to leaf-scale spectral data for quantifying leaf chlorophyll content, but its application to canopy-scale spectral data for estimating the canopy chlorophyll  ...  The authors are grateful to the staff of Beijing Normal University and Beijing Research Center for Information Technology in Agriculture for their support during field data collection.  ... 
doaj:1776fe47246d47afae3940cbc2bc84ad fatcat:fnyoefgb4vbqlgzo2ikpxpev3m

Hyperspectral Estimation Models of Winter Wheat Chlorophyll Content Under Elevated CO2

Yao Cai, Yuxuan Miao, Hao Wu, Dan Wang
2021 Frontiers in Plant Science  
Chlorophyll content is an important indicator of winter wheat health status.  ...  The results showed that there was a close relationship between chlorophyll content and the canopy spectral curve characteristics of winter wheat.  ...  According to the original reflectance of winter wheat canopy, five common vegetation indexes were calculated. Each vegetation index had different characteristics.  ... 
doi:10.3389/fpls.2021.642917 pmid:33841469 pmcid:PMC8027361 fatcat:5l4hlbdj6fe63cez5zb54s55ra

Relating Hyperspectral Vegetation Indices with Soil Salinity at Different Depths for the Diagnosis of Winter Wheat Salt Stress

Kangying Zhu, Zhigang Sun, Fenghua Zhao, Ting Yang, Zhenrong Tian, Jianbin Lai, Wanxue Zhu, Buju Long
2021 Remote Sensing  
For practical applications, linear or quadratic models based on the screened SVIs in the form of normalized differential vegetation indices (NDVIs) could be used to retrieve soil salinity (R2 ≥ 0.63, RMSE  ...  The SVIs derived from the observed hyperspectral data of winter wheat were compared with the salinity at four soil depths.  ...  Acknowledgments: The authors would like to give thanks for assistance provided by Yansheng Han, Zhenmin Liu and Hanyou Xie for hyperspectral measurements and to Yulian Liu for assistance with soil salinity  ... 
doi:10.3390/rs13020250 fatcat:2saatbvaxzhgjhdjzqkrlhao2u

Phenology Effects on Physically Based Estimation of Paddy Rice Canopy Traits from UAV Hyperspectral Imagery

Li Wang, Shuisen Chen, Zhiping Peng, Jichuan Huang, Chongyang Wang, Hao Jiang, Qiong Zheng, Dan Li
2021 Remote Sensing  
Phenology Effects on Physically Based Estimation of Paddy Rice Canopy Traits from UAV Hyperspectral Imagery. Remote Sens.  ...  Conclusions UAV-based hyperspectral images combined with the physical model PROSAIL were used to retrieve paddy leaf area index (LAI), leaf chlorophyll content (LCC), and canopy chlorophyll content (CCC  ...  Table 2 . 2 Characteristics of observed leaf area index (LAI), leaf chlorophyll content (LCC), and canopy chlorophyll content (CCC).  ... 
doi:10.3390/rs13091792 dblp:journals/remotesensing/WangCPHWJZL21 fatcat:t4qkmap62bbdhhyephg46vkw4i

Integration of crop growth model and random forest for winter wheat yield estimation from UAV hyperspectral imagery

Siqi Yang, Ling Hu, Haobo Wu, Huazhong Ren, Hongbo Qiao, Peijun Li, Wenjie Fan
2021 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
According to CERES-Wheat model simulation, the leaf area index (LAI) and leaf nitrogen content (LNC) at the wheat jointing and heading stages were selected as the most sensitive parameters, and were retrieved  ...  from UAV hyperspectral imagery using the directional second derivative (DSD) and angular insensitivity vegetation index (AIVI) methods respectively.  ...  quality and presentation of this article.  ... 
doi:10.1109/jstars.2021.3089203 fatcat:eog3tfykv5g6nodr7bchbqseuu

Evaluation of Sentinel-2 Red-Edge Bands for Empirical Estimation of Green LAI and Chlorophyll Content

Jesús Delegido, Jochem Verrelst, Luis Alonso, José Moreno
2011 Sensors  
This study addresses the importance of these new bands for the retrieval and monitoring of two important biophysical parameters: green leaf area index (LAI) and chlorophyll content (Ch).  ...  First, it was shown that LAI can be derived from a generic normalized difference index (NDI) using hyperspectral data, with 674 nm with 712 nm as best performing bands.  ...  Acknowledgments This work has been made possible by the funding support of the ESA projects -SENtinel-2 and FLuorescence EXperiment (SEN2FLEX)‖, -AGRISAR 2006 Agricultural Bio-/Geophysical Retrievals from  ... 
doi:10.3390/s110707063 pmid:22164004 pmcid:PMC3231680 fatcat:kktxvoyckfdn7m6mbwxx7hiaxi

Seasonal evolution of soil and plant parameters on the agricultural Gebesee test site: a database for the set-up and validation of EO-LDAS and satellite-aided retrieval models

Sina C. Truckenbrodt, Christiane C. Schmullius
2018 Earth System Science Data  
In situ data were collected for seven crop types (winter barley, winter wheat, spring wheat, durum, winter rape, potato, and sugar beet) cultivated on the agricultural Gebesee test site, central Germany  ...  </strong> Ground reference data are a prerequisite for the calibration, update, and validation of retrieval models facilitating the monitoring of land parameters based on Earth Observation data.  ...  We would like to express our gratitude to Matthias Hirth and Severin Sasso for enabling chlorophyll measurements at the laboratory facilities of the Institute of General Botany and Plant Physiology.  ... 
doi:10.5194/essd-10-525-2018 fatcat:lprnzydiefgyngrm2hdnmiuuqy

Sino–EU Earth Observation Data to Support the Monitoring and Management of Agricultural Resources

Stefano Pignatti, Raffaele Casa, Giovanni Laneve, Zhenhai Li, Linyi Liu, Pablo Marzialetti, Nada Mzid, Simone Pascucci, Paolo Cosmo Silvestro, Massimo Tolomio, Deepak Upreti, Hao Yang (+2 others)
2021 Remote Sensing  
The paper encompasses two research avenues: (a) the retrieval of biophysical variables of crops and yield prediction; and (b) food security related to different crop management strategies.  ...  Concerning the retrieval of variables, results show that LAI, derived by radiative transfer model (RTM) inversion, when assimilated into a crop growth model (i.e., SAFY) provides a way to assess yields  ...  The first step of this joint research was to retrieve crop biophysical variables, such as Leaf Area Index (LAI), leaf pigments both at the leaf and the canopy scales and the Fraction of Absorbed Photosynthetically  ... 
doi:10.3390/rs13152889 fatcat:vgdeldhvmnhv3gzjqhlhlc2amu

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

Matthias Wocher, Katja Berger, Martin Danner, Wolfram Mauser, Tobias Hank
2018 Remote Sensing  
water thickness on leaf level (EWT) which is upscaled to canopy water content (CWC) by multiplication of the leaf area index (LAI).  ...  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  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs10121924 fatcat:amshzb5mgfewzd2ic2l4y2mcg4

Remote Sensing Monitoring of Winter Wheat Stripe Rust Based on mRMR-XGBoost Algorithm

Xia Jing, Qin Zou, Jumei Yan, Yingying Dong, Bingyu Li
2022 Remote Sensing  
For the problem of multi-dimensional feature redundancy in remote sensing detection of wheat stripe rust using reflectance spectrum and solar-induced chlorophyll fluorescence (SIF), a feature selection  ...  Firstly, characteristic wavelengths selected by successive projections algorithm (SPA) were combined with the vegetation indices, trilateral parameters, and canopy SIF parameters to constitute the initial  ...  Acknowledgments: This research was funded by the National Science Foundation of China under Grant NO.42171394 and Grant NO.41601467 and Natural Science Foundation of Tibet Autonomous Region under Grant  ... 
doi:10.3390/rs14030756 fatcat:c5q777ddn5doxnmzqpym2ytkku

An optimized non-linear vegetation index for estimating leaf area index in winter wheat

Wei Feng, Yapeng Wu, Li He, Xingxu Ren, Yangyang Wang, Gege Hou, Yonghua Wang, Wandai Liu, Tiancai Guo
2019 Precision Agriculture  
Using hyperspectral remote sensing technology to monitor leaf area index (LAI) in a timely, fast and non-destructive manner is essential for accurate quantitative crop management.  ...  These results indicate that the novel ONLI has strong adaptability to various cultivation conditions and can provide a good estimate of LAI in winter wheat.  ...  distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were  ... 
doi:10.1007/s11119-019-09648-8 fatcat:ndf7gazv4vcelmzukvgq2bss3e

Winter Wheat Nitrogen Estimation Based on Ground-Level and UAV-Mounted Sensors

Xiaoyu Song, Guijun Yang, Xingang Xu, Dongyan Zhang, Chenghai Yang, Haikuan Feng
2022 Sensors  
The Dualex Nitrogen Balance Index (NBI) is the best leaf-level indicator for wheat LNC, PNC and NNI at the early wheat growth stage.  ...  A Gaussian process regression (GPR) method with the sequential backward feature removal (SBBR) routine was used to identify the best combinations of vegetation indices (VIs) sensitive to wheat N indicators  ...  Chang and W.G. Li for their help during field data collection. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s22020549 pmid:35062509 pmcid:PMC8778331 fatcat:knjswbv365darfsjdmsxpzxy2q

Inversion modeling of japonica rice canopy chlorophyll content with UAV hyperspectral remote sensing

Yingli Cao, Kailun Jiang, Jingxian Wu, Fenghua Yu, Wen Du, Tongyu Xu, Wang Li
2020 PLoS ONE  
Chlorophyll content is an important indicator of the growth status of japonica rice.  ...  The objective of this paper is to develop an inversion model that can predict japonica rice chlorophyll content by using hyperspectral image of rice canopy collected with unmanned aerial vehicle (UAV).  ...  Dianrong Ma and Minghui Zhao at Shenyang Agricultural College Academician Japonica Rice Experimental Base for providing experimental fields and cultivating the paddies.  ... 
doi:10.1371/journal.pone.0238530 pmid:32915830 fatcat:rujl3mvbcjaubhxqazoxi5pkmq

Evaluation of Six Algorithms to Monitor Wheat Leaf Nitrogen Concentration

Xia Yao, Yu Huang, Guiyan Shang, Chen Zhou, Tao Cheng, Yongchao Tian, Weixing Cao, Yan Zhu
2015 Remote Sensing  
We assessed six retrieval algorithms for estimating LNC from canopy reflectance of winter wheat in eight field experiments.  ...  The rapid and non-destructive monitoring of the canopy leaf nitrogen concentration (LNC) in crops is important for precise nitrogen (N) management.  ...  Finally, we acknowledge the anonymous reviewers who provided useful comments regarding this manuscript.  ... 
doi:10.3390/rs71114939 fatcat:yl4c6cvxdjcrvjmo4wac2xdmdy
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