Quantifying Lodging Percentage and Lodging Severity Using a UAV-Based Canopy Height Model Combined with an Objective Threshold Approach
出版年份 2019 全文链接
标题
Quantifying Lodging Percentage and Lodging Severity Using a UAV-Based Canopy Height Model Combined with an Objective Threshold Approach
作者
关键词
-
出版物
Remote Sensing
Volume 11, Issue 5, Pages 515
出版商
MDPI AG
发表日期
2019-03-04
DOI
10.3390/rs11050515
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Estimates of rice lodging using indices derived from UAV visible and thermal infrared images
- (2018) Tao Liu et al. AGRICULTURAL AND FOREST METEOROLOGY
- Height estimation of sugarcane using an unmanned aerial system (UAS) based on structure from motion (SfM) point clouds
- (2017) Carlos Henrique Wachholz De Souza et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Unmanned aircraft system-derived crop height and normalized difference vegetation index metrics for sorghum yield and aphid stress assessment
- (2017) Carly Stanton et al. Journal of Applied Remote Sensing
- Phenological analysis of unmanned aerial vehicle based time series of barley imagery with high temporal resolution
- (2017) A. Burkart et al. PRECISION AGRICULTURE
- Spatial and Spectral Hybrid Image Classification for Rice Lodging Assessment through UAV Imagery
- (2017) Ming-Der Yang et al. Remote Sensing
- Assessing Lodging Severity over an Experimental Maize (Zea mays L.) Field Using UAS Images
- (2017) Tianxing Chu et al. Remote Sensing
- High Throughput Field Phenotyping of Wheat Plant Height and Growth Rate in Field Plot Trials Using UAV Based Remote Sensing
- (2016) Fenner Holman et al. Remote Sensing
- Precision wildlife monitoring using unmanned aerial vehicles
- (2016) Jarrod C. Hodgson et al. Scientific Reports
- Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley
- (2015) Juliane Bendig et al. International Journal of Applied Earth Observation and Geoinformation
- Comparison of different regression models and validation techniques for the assessment of wheat leaf area index from hyperspectral data
- (2015) Bastian Siegmann et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Generating 3D hyperspectral information with lightweight UAV snapshot cameras for vegetation monitoring: From camera calibration to quality assurance
- (2015) Helge Aasen et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Low-weight and UAV-based Hyperspectral Full-frame Cameras for Monitoring Crops: Spectral Comparison with Portable Spectroradiometer Measurements
- (2015) Georg Bareth et al. Photogrammetrie Fernerkundung Geoinformation
- Angular Dependency of Hyperspectral Measurements over Wheat Characterized by a Novel UAV Based Goniometer
- (2015) Andreas Burkart et al. Remote Sensing
- Evaluating Multispectral Images and Vegetation Indices for Precision Farming Applications from UAV Images
- (2015) Sebastian Candiago et al. Remote Sensing
- Unmanned aerial systems for photogrammetry and remote sensing: A review
- (2014) I. Colomina et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Estimating Biomass of Barley Using Crop Surface Models (CSMs) Derived from UAV-Based RGB Imaging
- (2014) Juliane Bendig et al. Remote Sensing
- Pheno-Copter: A Low-Altitude, Autonomous Remote-Sensing Robotic Helicopter for High-Throughput Field-Based Phenotyping
- (2014) Scott Chapman et al. Agronomy-Basel
- Lodging resistance of winter wheat (Triticum aestivum L.): Lignin accumulation and its related enzymes activities due to the application of paclobutrazol or gibberellin acid
- (2013) Dianliang Peng et al. FIELD CROPS RESEARCH
- UAV-based Imaging for Multi-Temporal, very high Resolution Crop Surface Models to monitor Crop Growth VariabilityMonitoring des Pflanzenwachstums mit Hilfe multitemporaler und hoch auflösender Oberflächenmodelle von Getreidebeständen auf Basis von Bildern aus UAV-Befliegungen
- (2013) Juliane Bendig et al. Photogrammetrie Fernerkundung Geoinformation
- Assessing the accuracy of mosaics from unmanned aerial vehicle (UAV) imagery for precision agriculture purposes in wheat
- (2013) D. Gómez-Candón et al. PRECISION AGRICULTURE
- High spatial resolution three-dimensional mapping of vegetation spectral dynamics using computer vision
- (2013) Jonathan P. Dandois et al. REMOTE SENSING OF ENVIRONMENT
- Advances in Remote Sensing of Agriculture: Context Description, Existing Operational Monitoring Systems and Major Information Needs
- (2013) Clement Atzberger Remote Sensing
- Using Unmanned Aerial Vehicles (UAV) for High-Resolution Reconstruction of Topography: The Structure from Motion Approach on Coastal Environments
- (2013) Francesco Mancini et al. Remote Sensing
- Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps
- (2012) David J. Mulla BIOSYSTEMS ENGINEERING
- Canopy height measurement by photogrammetric analysis of aerial images: Application to buckwheat (Fagopyrum esculentum Moench) lodging evaluation
- (2012) Toshifumi Murakami et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Predicting yield losses caused by lodging in wheat
- (2012) P.M. Berry et al. FIELD CROPS RESEARCH
- ‘Structure-from-Motion’ photogrammetry: A low-cost, effective tool for geoscience applications
- (2012) M.J. Westoby et al. GEOMORPHOLOGY
- The application of small unmanned aerial systems for precision agriculture: a review
- (2012) Chunhua Zhang et al. PRECISION AGRICULTURE
- An Automated Technique for Generating Georectified Mosaics from Ultra-High Resolution Unmanned Aerial Vehicle (UAV) Imagery, Based on Structure from Motion (SfM) Point Clouds
- (2012) Darren Turner et al. Remote Sensing
- Combining phenotypic data from ordinal rating scales in multiple plant experiments
- (2011) Ivan Simko et al. TRENDS IN PLANT SCIENCE
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now