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Biomass and Crop Height Estimation of Different Crops Using UAV-Based Lidar

ten Harkel, Bartholomeus, Kooistra
2019 Remote Sensing  
The potential of data acquisition by UAV-LiDAR to estimate fresh biomass and crop height was investigated for three different crops (potato, sugar beet, and winter wheat) grown in Wageningen (The Netherlands  ...  Biomass was estimated using the 3DPI algorithm, while crop height was estimated using the mean height of a variable number of highest points for each m2.  ...  And Matthijs ten Harkel for correction and editing of the paper manuscript. Conflicts of Interest: The authors declare no conflict of interest. Remote Sens. 2020, 12, 17  ... 
doi:10.3390/rs12010017 fatcat:5oaovtulirbwbl6hfoarromk4m

UAV-Based LiDAR for High-Throughput Determination of Plant Height and Above-Ground Biomass of the Bioenergy Grass Arundo donax

Mauro Maesano, Sacha Khoury, Farid Nakhle, Andrea Firrincieli, Alan Gay, Flavia Tauro, Antoine Harfouche
2020 Remote Sensing  
Manual measurements of crop height and biomass were taken in parallel and compared to LiDAR CHM estimates. Stepwise multiple regression was used to estimate biomass.  ...  Crop biomass differences were also more evident in LiDAR estimates, suggesting differences in ecotypes' productivity and tolerance to drought.  ...  valuable field support, to Headwall Photonics for their fruitful collaboration and support for the implementation and utilization of LiDAR imaging, and to Manfred Greve for the UAV training.  ... 
doi:10.3390/rs12203464 fatcat:bt3gkcxaufgjneyzg6tci6jciy

Designing and Testing a UAV Mapping System for Agricultural Field Surveying

Martin Christiansen, Morten Laursen, Rasmus Jørgensen, Søren Skovsen, René Gislum
2017 Sensors  
Mapped canopy heights allow for the estimation of crop biomass in agriculture.  ...  Two different flight patterns are evaluated at an altitude of 6 m to determine the impacts of the mapped LiDAR measurements on crop volume estimations.  ...  These differences can be observed in terms of greenness, plant height, and crop biomass.  ... 
doi:10.3390/s17122703 pmid:29168783 pmcid:PMC5751509 fatcat:edvosgm3kjhgpl6bvb32pkk3re

Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives

Guijun Yang, Jiangang Liu, Chunjiang Zhao, Zhenhong Li, Yanbo Huang, Haiyang Yu, Bo Xu, Xiaodong Yang, Dongmei Zhu, Xiaoyan Zhang, Ruyang Zhang, Haikuan Feng (+4 others)
2017 Frontiers in Plant Science  
reliable results are necessary, the current status and perspectives on the topic of UAV-RSPs for field-based phenotyping were reviewed based on the literature survey of crop phenotyping using UAV-RSPs  ...  Traditional methods for acquiring crop traits, such as plant height, leaf color, leaf area index (LAI), chlorophyll content, biomass and yield, rely on manual sampling, which is time-consuming and laborious  ...  ACKNOWLEDGMENTS This study was supported by the Natural Science Foundation of China (61661136003, 41471285, and 41471351), National key research and development program (2016YFD0300602), and the Special  ... 
doi:10.3389/fpls.2017.01111 pmid:28713402 pmcid:PMC5492853 fatcat:xpfbd7rn7zax5hi6rlrbegfsdy

Estimation of maize above-ground biomass based on stem-leaf separation strategy integrated with LiDAR and optical remote sensing data

Yaohui Zhu, Chunjiang Zhao, Hao Yang, Guijun Yang, Liang Han, Zhenhai Li, Haikuan Feng, Bo Xu, Jintao Wu, Lei Lei
2019 PeerJ  
This study improves the prediction accuracy of AGB and provides a new guideline for monitoring based on the fusion of multispectral and LiDAR data.  ...  Above-ground biomass (AGB) is an important indicator for effectively assessing crop growth and yield and, in addition, is an important ecological indicator for assessing the efficiency with which crops  ...  Thanks to Hao Yang, Liang Han, and Zhenhai Li for their help in my research and writing of this paper.  ... 
doi:10.7717/peerj.7593 pmid:31576235 pmcid:PMC6753932 fatcat:jcr2orew6vabrezzo7hlq7ndkq

Applications of UAS in Crop Biomass Monitoring: A Review

Tianhai Wang, Yadong Liu, Minghui Wang, Qing Fan, Hongkun Tian, Xi Qiao, Yanzhou Li
2021 Frontiers in Plant Science  
the adoption of advanced algorithms and the use of low-cost sensors are reviewed to highlight the potential for monitoring crop biomass with UAS.  ...  Biomass is an important indicator for evaluating crops. The rapid, accurate and nondestructive monitoring of biomass is the key to smart agriculture and precision agriculture.  ...  FUNDING The work in this article was supported by the Key Research and Development Program of Nanning (20192065), the National Natural Science Foundation for Young Scientists of China (31801804), the projects  ... 
doi:10.3389/fpls.2021.616689 pmid:33897719 pmcid:PMC8062761 fatcat:nfxxyqho7nak3bh5puc4sjj7fu


M. Maimaitijiang, V. Sagan, H. Erkbol, J. Adrian, M. Newcomb, D. LeBauer, D. Pauli, N. Shakoor, T. C. Mockler
2020 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
The goal of this study is to investigate the potential of UAV LiDAR and RGB photogrammetry in estimating crop CH and LAI.  ...  A series of canopy structure metrics were extracted using LiDAR and RGB photogrammetry-based point clouds.  ...  ACKNOWLEDGEMENTS This work was supported by the Department of Energy (ARPA-E awards #DE-AR0000594).  ... 
doi:10.5194/isprs-annals-v-3-2020-489-2020 fatcat:2izgfs7ttvfrdnzrisupjjtd4y

Ground vehicle mapping of fields using LiDAR to enable prediction of crop biomass [article]

Martin Peter Christiansen, Morten Stigaard Laursen, Rasmus Nyholm Jørgensen, Søren Skovsen, René Gislum
2018 arXiv   pre-print
The estimation of crop biomass in agriculture is expected to be closely correlated to canopy heights.  ...  Mapping field environments into point clouds using a 3D LIDAR has the ability to become a new approach for online estimation of crop biomass in the field.  ...  This research was financially supported by the Intelligente VIRKemidler til reduktion af reduktion af kvaelstofudvaskningen (VIRKN) project, funded by the Danish Ministry of Environment and Foods Grønt  ... 
arXiv:1805.01426v1 fatcat:lfz3uamebvftbksvng6pksek7y

Editorial for the Special Issue "Estimation of Crop Phenotyping Traits using Unmanned Ground Vehicle and Unmanned Aerial Vehicle Imagery"

Xiuliang Jin, Zhenhai Li, Clement Atzberger
2020 Remote Sensing  
This spectral issue (SI) collects 30 papers reporting research on estimation of crop phenotyping traits using unmanned ground vehicle (UGV) and unmanned aerial vehicle (UAV) imagery.  ...  The special issue includes papers presenting recent advances in the field, with 22 UAV-based papers and 12 UGV-based articles.  ...  They would also like to thank the editorial team of Remote Sensing for their support. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs12060940 fatcat:2dvq5kvlhrfgpjmalwuvexixl4

Biomass estimation of pasture plots with multitemporal UAV-based photogrammetric surveys

Izar Sinde-González, Mariluz Gil-Docampo, Marcos Arza-García, José Grefa-Sánchez, Diana Yánez-Simba, Patricio Pérez-Guerrero, Víctor Abril-Porras
2021 International Journal of Applied Earth Observation and Geoinformation  
The estimation and calculation of the crop volume via UAV-based photogrammetry saves time and generates notably precise (R 2 = 0.78) information on the dry biomass.  ...  Digital terrain models and crop surface models were generated from data captured during two flights at different times, and the volume between them was calculated.  ...  In a significant number of studies, LiDAR methods have been validated for the biomass estimation in different crops, and more studies that implement LiDAR systems with UAVs are recommended to increase  ... 
doi:10.1016/j.jag.2021.102355 fatcat:nheycp5uhvh4no2qm5t5lnwmsi

Individual Maize Location and Height Estimation in Field from UAV-Borne LiDAR and RGB Images

Min Gao, Fengbao Yang, Hong Wei, Xiaoxia Liu
2022 Remote Sensing  
Crop height is an essential parameter used to monitor overall crop growth, forecast crop yield, and estimate crop biomass in precision agriculture.  ...  Our approach, utilizing UAV-borne LiDAR and RGB cameras, demonstrated promising performance for estimating maize height and its field position.  ...  Acknowledgments: The authors would like to acknowledge the support from the Cultivation and Physiology Research Unit of the Maize Research Institute of Shanxi Agricultural University; the plant trait surveys  ... 
doi:10.3390/rs14102292 fatcat:szptrf5gkrclfeb7zknpty26wi

Estimating Above-Ground Biomass of Maize Using Features Derived from UAV-Based RGB Imagery

Yaxiao Niu, Liyuan Zhang, Huihui Zhang, Wenting Han, Xingshuo Peng
2019 Remote Sensing  
When estimating crop above-ground biomass based on UAV RGB remote-sensing system alone, looking for optimized vegetation indices and establishing estimation models with high performance based on advanced  ...  To search the optimal estimation method, the estimation performances of the models based on vegetation indices alone, based on plant height alone, and based on both vegetation indices and plant height  ...  Acknowledgments: We are grateful to Shuangfei Cheng, Chenyu Ge, Chengxuan Tan, and Chonghao Xu for data collection. Conflicts of Interest: There are no conflicts of interest.  ... 
doi:10.3390/rs11111261 fatcat:lswlqdk37ras7hobuanf3znl5q

How Far Can Consumer-Grade UAV RGB Imagery Describe Crop Production? A 3D and Multitemporal Modeling Approach Applied to Zea mays

Adrien Michez, Sébastien Bauwens, Yves Brostaux, Marie-Pierre Hiel, Sarah Garré, Philippe Lejeune, Benjamin Dumont
2018 Remote Sensing  
In recent decades, remote sensing has increasingly been used to estimate the spatio-temporal evolution of crop biophysical parameters such as the above-ground biomass (AGB).  ...  Our study provides clear insight about how we can counter the low spectral resolution of consumer-grade RGB cameras using height information and multitemporality.  ...  Acknowledgments: The authors would like to thank the "drone" team who performed the UAV flight surveys (particularly Cédric Geerts, Samuel Quevauvillers and Alain Monseur).  ... 
doi:10.3390/rs10111798 fatcat:q3a7lr5cg5e6do45ilxscbd6du

Estimating Maize Above-Ground Biomass Using 3D Point Clouds of Multi-Source Unmanned Aerial Vehicle Data at Multi-Spatial Scales

Zhu, Sun, Peng, Huang, Li, Zhang, Yang, Liao
2019 Remote Sensing  
Estimating the crop AGB at a field scale through the use of unmanned aerial vehicles (UAVs) is promising for agronomic application, but the robustness of the methods used for estimation needs to be balanced  ...  Crop above-ground biomass (AGB) is a key parameter used for monitoring crop growth and predicting yield in precision agriculture.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs11222678 fatcat:letr42jvenapllkanl6xq445ey

Estimating Barley Biomass with Crop Surface Models from Oblique RGB Imagery

2018 Remote Sensing  
Fresh and dry biomass were measured destructively at four dates each in 2014 and 2015. We used exponential and simple linear regression based on different calibration/validation splits.  ...  In this study, fresh and dry barley biomass per plot are estimated from CSM-derived plot-wise plant heights.  ...  Acknowledgments: We acknowledge the staff of Campus Klein-Altendorf (University of Bonn) for managing the field experiment as well as providing the hydraulic lifting hoist and the mounting platform for  ... 
doi:10.3390/rs10020268 fatcat:6nc2rg4ysndsrc4dkfz3hbfhhy
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