514 Hits in 8.1 sec

Modeling of winter wheat fAPAR by integrating Unmanned Aircraft Vehicle-based optical, structural and thermal measurement

Zhengang Lv, Ran Meng, Jianguo Man, Linglin Zeng, Meiyv Wang, Binyuan Xu, Renjie Gao, Rui Sun, Feng Zhao
2021 International Journal of Applied Earth Observation and Geoinformation  
The modeling powers of different remote sensing features were compared with the commonly used hyperspectral vegetation indices (HVIs) from field spectrometer measurements.  ...  However, the optical remote sensing signals usually saturate over dense vegetation (e.g., Leaf Area Index (LAI) > 5 or fAPAR > 0.7), limiting the performance of optical remote sensing in modeling fAPAR  ...  the National Natural Science Foundation of China (No. 31601251).  ... 
doi:10.1016/j.jag.2021.102407 fatcat:zn5bm525xfbhfaqoxeiexwvpva

Estimating Winter Wheat Leaf Area Index From Ground and Hyperspectral Observations Using Vegetation Indices

Qiaoyun Xie, Wenjiang Huang, Bing Zhang, Pengfei Chen, Xiaoyu Song, Simone Pascucci, Stefano Pignatti, Giovanni Laneve, Yingying Dong
2016 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
Using hyperspectral airborne data and ground-measured spectra as well as ground LAI measurements collected during two field campaigns, winter wheat LAIs were estimated and validated using different VIs  ...  In this study, empirical models were used to estimate winter wheat LAI based on three spectral indices [the normalized difference vegetation index (NDVI), the modified simple ratio index (MSR), and the  ...  Her research interests include quantitative remote sensing application in agriculture and development of software for digital image processing.  ... 
doi:10.1109/jstars.2015.2489718 fatcat:zujgbwkdfzboxgycoumzh4dujm

A Comparison of Crop Parameters Estimation Using Images from UAV-Mounted Snapshot Hyperspectral Sensor and High-Definition Digital Camera

Jibo Yue, Haikuan Feng, Xiuliang Jin, Huanhuan Yuan, Zhenhai Li, Chengquan Zhou, Guijun Yang, Qingjiu Tian
2018 Remote Sensing  
performance of the sensors is crucial in LAI estimates (the wheat LAI cannot be accurately estimated over multiple growing stages when using only crop height).  ...  Timely and accurate estimates of crop parameters are crucial for agriculture management.  ...  Acknowledgments: Thanks to Hong Chang and Weiguo Li for the field data collection and farmland management. Thanks to all employees of Xiao Tangshan National Precision Agriculture Research Center.  ... 
doi:10.3390/rs10071138 fatcat:hbg7ytgidndprng4qaqkyzki5e

The Study of Winter Wheat Biomass Estimation Model Based on Hyperspectral Remote Sensing [chapter]

Xiaowei Teng, Yansheng Dong, Lumin Meng
2016 IFIP Advances in Information and Communication Technology  
The biomass estimation model was based on the Time-Integrated Value of NDVI (TINDVI) and Leaf Water Content Index (LWCI), which was used to predict the winter wheat biomass.  ...  The study of biomass has been expanded to remote sensing sphere, which provides more ways to the obtainment of crop biomass.  ...  Acknowledgments The work is supported by the National Science Foundation (NNSF) of China (41401476).  ... 
doi:10.1007/978-3-319-48354-2_17 fatcat:k6ef5nhgezhyhh34bxsirabovq

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  
mounted on a UAV is a feasible remote sensing data acquisition mode for winter wheat growth monitoring and yield estimation.  ...  Index Terms-wheat yield estimation, the CERES-Wheat model, random forest, unmanned aerial vehicle (UAV), hyperspectral remote sensing  ...  quality and presentation of this article.  ... 
doi:10.1109/jstars.2021.3089203 fatcat:eog3tfykv5g6nodr7bchbqseuu

Recent Advances of Hyperspectral Imaging Technology and Applications in Agriculture

Bing Lu, Phuong D. Dao, Jiangui Liu, Yuhong He, Jiali Shang
2020 Remote Sensing  
Remote sensing is a useful tool for monitoring spatio-temporal variations of crop morphological and physiological status and supporting practices in precision farming.  ...  Performances of hyperspectral imaging for different applications (e.g., crop biophysical and biochemical properties' mapping, soil characteristics, and crop classification) were also evaluated.  ...  ), and modified soil adjusted vegetation index (MSAVI) for estimating winter wheat LAI from hyperspectral images.  ... 
doi:10.3390/rs12162659 fatcat:bfoe3xuja5b27b7wuu5ak7tdpq

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.  ...  Validation was conducted against a field-measured hyperspectral dataset for four distinct growth stages and pooled data.  ...  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

Estimation of the Yield and Plant Height of Winter Wheat Using UAV-Based Hyperspectral Images

Huilin Tao, Haikuan Feng, Liangji Xu, Mengke Miao, Guijun Yang, Xiaodong Yang, Lingling Fan
2020 Sensors  
Therefore, it can be concluded that PLSR allows the accurate estimation of crop yield from hyperspectral remote sensing data, and the combination of the SIs and HCSM allows the most accurate yield estimation  ...  In this work, we estimate the yield of winter wheat using the spectral indices (SIs), ground-measured plant height (H), and the plant height extracted from UAV-based hyperspectral images (HCSM) using three  ...  Acknowledgments: We appreciate the help from Hong Chang and Weiguo Li during field data collection. Thanks to all employees of Xiao Tangshan National Precision Agriculture Research Center.  ... 
doi:10.3390/s20041231 pmid:32102358 pmcid:PMC7070520 fatcat:oaidegp6dbe6hbap2xldnzm424


A.H Elmetwalli, A.A. Derbala, T.Z. Fouda
2010 Misr Journal of Agricultural Engineering  
This work was carried out to assess the ability of hyperspectral and high spatial resolution remote sensing imagery to detect stress in wheat in the Nile Delta of Egypt.  ...  A field work visit was undertaken during winter season of 2007 in to collect ground reference data including soil samples, vegetation samples, water samples, chlorophyll estimates, reflectance measurements  ...  imagery to assess the ability of remotely sensed data to detect stress in wheat.  ... 
doi:10.21608/mjae.2010.105351 fatcat:gd5xtgknybehhbustdl3v32vjm

Estimation of Crop Growth Parameters Using UAV-Based Hyperspectral Remote Sensing Data

Huilin Tao, Haikuan Feng, Liangji Xu, Mengke Miao, Huiling Long, Jibo Yue, Zhenhai Li, Guijun Yang, Xiaodong Yang, Lingling Fan
2020 Sensors  
Therefore, this study evaluated the use of hyperspectral indices, red-edge parameters, and their combination to estimate and map the distributions of AGB and LAI for various growth stages of winter wheat  ...  Above-ground biomass (AGB) and the leaf area index (LAI) are important indicators for the assessment of crop growth, and are therefore important for agricultural management.  ...  Acknowledgments: We appreciate the help from Hong Chang and Weiguo Li during field data collection and thank all employees of the Xiao Tangshan National Precision Agriculture Research Center.  ... 
doi:10.3390/s20051296 pmid:32120958 pmcid:PMC7085721 fatcat:7p7wk5efnbd3tl4d7stlmnylva

Estimation of Winter Wheat Above-Ground Biomass Using Unmanned Aerial Vehicle-Based Snapshot Hyperspectral Sensor and Crop Height Improved Models

Jibo Yue, Guijun Yang, Changchun Li, Zhenhai Li, Yanjie Wang, Haikuan Feng, Bo Xu
2017 Remote Sensing  
The UHD 185 images were used to calculate the crop height and hyperspectral reflectance of winter wheat canopies from hyperspectral and panchromatic images.  ...  We constructed several single-parameter models for AGB estimation based on spectral parameters, such as specific bands, spectral indices (e.g., Ratio Vegetation Index (RVI), NDVI, Greenness Index (GI)  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs9070708 fatcat:5cnxxlssx5davohdkoxtpftary

Spectral Index for Quantifying Leaf Area Index of Winter Wheat by Field Hyperspectral Measurements: A Case Study in Gifu Prefecture, Central Japan

Shinya Tanaka, Kensuke Kawamura, Masayasu Maki, Yasunori Muramoto, Kazuaki Yoshida, Tsuyoshi Akiyama
2015 Remote Sensing  
In this paper, a new spectral index (SI) for estimating LAI of winter wheat (Triticum aestivum L.) is proposed on the basis of field hyperspectral measurements.  ...  Timely and nondestructive monitoring of leaf area index (LAI) using remote sensing techniques is crucial for precise and efficient management of crops.  ...  Acknowledgments All data used in this study were collected when the first author was a graduate student at the River Basin Research Center, Gifu University.  ... 
doi:10.3390/rs70505329 fatcat:n54nnjki4ncs7p2ctci45isuoy

Estimation Accuracy of Growth Traits in Rice using Nondestructive Sensing

Yumiko Arai-Sanoh, Masaki Okamura, Kunio Tateishi, Shiori Yabe, Hitoshi Ogiwara, Hiroe Yoshida, Satoshi Yoshinaga, Nobuya Kobayashi
2021 Nippon sakumotsu gakkai kiji  
The accuracy was evaluated for the estimation of growth traits (leaf area index (LAI), number of tillers, dry weight, nitrogen content of leaf and nitrogen content of plant) by nondestructive sensing data  ...  (vegetation cover rate, normalized difference vegetation index (NDVI) and light interception rate).  ...  Empirical regression models for estimating multiyear leaf area index of rice from several vegetation indices at the field scale. Remote Sens. 6: 4764-4779. , W. 2012.  ... 
doi:10.1626/jcs.90.160 fatcat:axl5lt5kk5b7vdb5acegcjt3cu

A Transformed Triangular Vegetation Index for Estimating Winter Wheat Leaf Area Index

Naichen Xing, Wenjiang Huang, Qiaoyun Xie, Yue Shi, Huichun Ye, Yingying Dong, Mingquan Wu, Gang Sun, Quanjun Jiao
2019 Remote Sensing  
The results showed that TTVI performed the best predictive power of LAI for both hyperspectral and multispectral data, and mitigated the saturation effect.  ...  In this study, we proposed a new index for LAI retrieval-transformed triangular vegetation index (TTVI), which replaces NIR and red bands of triangular vegetation index (TVI) into NIR and red-edge bands  ...  Remote Sens. 2020, 12, 16 Funding: This research was funded by National Key R&D Program of China, grant number 2016YFB0501501; National special support program for high-level personnel recruitment (Wenjiang  ... 
doi:10.3390/rs12010016 fatcat:aheomjfmozdihepmznvfi7p254

Characterization of soil salinity and its impact on wheat crop using space-borne hyperspectral data

Mirzoolim Avliyakulov, Mamta Kumari, Nurmamat Rajabov, Normat Durdiev
2020 InterCarto. InterGIS  
In present research, Hyperion Hyperspectral remote sensing data (EO-1) was used for characterization and mapping of salt-affected soils, to generate crop inventory map and to evaluate soil salinity impact  ...  Remote sensing has shown great advantages in the field in recent decades.  ...  ACKNOWLEDGEMENTS This publication is the part of the post graduate thesis. We gratefully acknowledge support under the UN CSSTEAP program conducted in Indian Institute of Remote Sensing (IIRS).  ... 
doi:10.35595/2414-9179-2020-3-26-271-285 fatcat:3xzo5nwfvvemtnsc7rfxvsgv6i
« Previous Showing results 1 — 15 out of 514 results