Estimating Biomass and Nitrogen Amount of Barley and Grass Using UAV and Aircraft Based Spectral and Photogrammetric 3D Features
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Estimating Biomass and Nitrogen Amount of Barley and Grass Using UAV and Aircraft Based Spectral and Photogrammetric 3D Features
Authors
Keywords
-
Journal
Remote Sensing
Volume 10, Issue 7, Pages 1082
Publisher
MDPI AG
Online
2018-07-09
DOI
10.3390/rs10071082
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Improved estimation of leaf area index and leaf chlorophyll content of a potato crop using multi-angle spectral data – potential of unmanned aerial vehicle imagery
- (2018) Peter P.J. Roosjen et al. International Journal of Applied Earth Observation and Geoinformation
- Estimation of hydromorphological attributes of a small forested catchment by applying the Structure from Motion (SfM) approach
- (2018) Luis A. Méndez-Barroso et al. International Journal of Applied Earth Observation and Geoinformation
- Radiometric block adjustment of hyperspectral image blocks in the Brazilian environment
- (2018) Gabriela Takahashi Miyoshi et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Direct Reflectance Measurements from Drones: Sensor Absolute Radiometric Calibration and System Tests for Forest Reflectance Characterization
- (2018) Teemu Hakala et al. SENSORS
- Remote sensing of bark beetle damage in urban forests at individual tree level using a novel hyperspectral camera from UAV and aircraft
- (2018) Roope Näsi et al. URBAN FORESTRY & URBAN GREENING
- Radiometric Correction of Close-Range Spectral Image Blocks Captured Using an Unmanned Aerial Vehicle with a Radiometric Block Adjustment
- (2018) et al. Remote Sensing
- Assessment of Classifiers and Remote Sensing Features of Hyperspectral Imagery and Stereo-Photogrammetric Point Clouds for Recognition of Tree Species in a Forest Area of High Species Diversity
- (2018) Sakari Tuominen et al. Remote Sensing
- Assessing Biodiversity in Boreal Forests with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging
- (2018) Ninni Saarinen et al. Remote Sensing
- A Comparison of Regression Techniques for Estimation of Above-Ground Winter Wheat Biomass Using Near-Surface Spectroscopy
- (2018) Jibo Yue et al. Remote Sensing
- Mapping Mosaic Virus in Sugarcane Based on Hyperspectral Images
- (2017) Erika Akemi Saito Moriya et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Band registration of tuneable frame format hyperspectral UAV imagers in complex scenes
- (2017) Eija Honkavaara et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Retrieval of Biophysical Crop Variables from Multi-Angular Canopy Spectroscopy
- (2017) et al. Remote Sensing
- The Need for Accurate Geometric and Radiometric Corrections of Drone-Borne Hyperspectral Data for Mineral Exploration: MEPHySTo—A Toolbox for Pre-Processing Drone-Borne Hyperspectral Data
- (2017) Sandra Jakob et al. Remote Sensing
- Estimation of Winter Wheat Above-Ground Biomass Using Unmanned Aerial Vehicle-Based Snapshot Hyperspectral Sensor and Crop Height Improved Models
- (2017) Jibo Yue et al. Remote Sensing
- Individual Tree Detection and Classification with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging
- (2017) Olli Nevalainen et al. Remote Sensing
- Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives
- (2017) Guijun Yang et al. Frontiers in Plant Science
- Precision Agriculture Technologies Positively Contributing to GHG Emissions Mitigation, Farm Productivity and Economics
- (2017) Athanasios Balafoutis et al. Sustainability
- Remote estimation of canopy height and aboveground biomass of maize using high-resolution stereo images from a low-cost unmanned aerial vehicle system
- (2016) Wang Li et al. ECOLOGICAL INDICATORS
- Remote Sensing of 3-D Geometry and Surface Moisture of a Peat Production Area Using Hyperspectral Frame Cameras in Visible to Short-Wave Infrared Spectral Ranges Onboard a Small Unmanned Airborne Vehicle (UAV)
- (2016) Eija Honkavaara et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Random forest in remote sensing: A review of applications and future directions
- (2016) Mariana Belgiu et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Geometric Calibration of a Hyperspectral Frame Camera
- (2016) Raquel A. de Oliveira et al. PHOTOGRAMMETRIC RECORD
- Unmanned Aerial Vehicle to Estimate Nitrogen Status of Turfgrasses
- (2016) Lisa Caturegli et al. PLoS One
- Ultra-fine grain landscape-scale quantification of dryland vegetation structure with drone-acquired structure-from-motion photogrammetry
- (2016) Andrew M. Cunliffe et al. REMOTE SENSING OF ENVIRONMENT
- Assessing the robustness of Random Forests to map land cover with high resolution satellite image time series over large areas
- (2016) Charlotte Pelletier et al. REMOTE SENSING OF ENVIRONMENT
- Monitoring Agronomic Parameters of Winter Wheat Crops with Low-Cost UAV Imagery
- (2016) Michael Schirrmann et al. Remote Sensing
- Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art
- (2016) Liangpei Zhang et al. IEEE Geoscience and Remote Sensing Magazine
- Low-altitude, high-resolution aerial imaging systems for row and field crop phenotyping: A review
- (2015) Sindhuja Sankaran et al. EUROPEAN JOURNAL OF AGRONOMY
- 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
- 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
- Using UAV-Based Photogrammetry and Hyperspectral Imaging for Mapping Bark Beetle Damage at Tree-Level
- (2015) Roope Näsi et al. Remote Sensing
- Evaluating Multispectral Images and Vegetation Indices for Precision Farming Applications from UAV Images
- (2015) Sebastian Candiago et al. Remote Sensing
- Estimating Plant Traits of Grasslands from UAV-Acquired Hyperspectral Images: A Comparison of Statistical Approaches
- (2015) Alessandra Capolupo et al. ISPRS International Journal of Geo-Information
- A multi-sensor approach for predicting biomass of extensively managed grassland
- (2014) Björn Reddersen et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Multitemporal crop surface models: accurate plant height measurement and biomass estimation with terrestrial laser scanning in paddy rice
- (2014) Nora Tilly et al. Journal of Applied Remote Sensing
- Importance of sample size, data type and prediction method for remote sensing-based estimations of aboveground forest biomass
- (2014) F.E. Fassnacht et al. REMOTE SENSING OF ENVIRONMENT
- Estimating Biomass of Barley Using Crop Surface Models (CSMs) Derived from UAV-Based RGB Imaging
- (2014) Juliane Bendig et al. Remote Sensing
- Estimating leaf carotenoid content in vineyards using high resolution hyperspectral imagery acquired from an unmanned aerial vehicle (UAV)
- (2013) P.J. Zarco-Tejada et al. AGRICULTURAL AND FOREST METEOROLOGY
- Combining ultrasonic sward height and spectral signatures to assess the biomass of legume–grass swards
- (2013) Thomas Fricke et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Remote estimation of nitrogen and chlorophyll contents in maize at leaf and canopy levels
- (2013) M. Schlemmer et al. International Journal of Applied Earth Observation and Geoinformation
- 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
- Processing and Assessment of Spectrometric, Stereoscopic Imagery Collected Using a Lightweight UAV Spectral Camera for Precision Agriculture
- (2013) Eija Honkavaara 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
- The application of small unmanned aerial systems for precision agriculture: a review
- (2012) Chunhua Zhang et al. PRECISION AGRICULTURE
- Using Hyperspectral Remote Sensing Data for Retrieving Canopy Chlorophyll and Nitrogen Content
- (2011) Jan G. P. W. Clevers et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Assessing structural effects on PRI for stress detection in conifer forests
- (2011) Rocío Hernández-Clemente et al. REMOTE SENSING OF ENVIRONMENT
- Status and future of laser scanning, synthetic aperture radar and hyperspectral remote sensing data for forest biomass assessment
- (2010) Barbara Koch ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Acquisition of NIR-Green-Blue Digital Photographs from Unmanned Aircraft for Crop Monitoring
- (2010) E. Raymond Hunt et al. Remote Sensing
- Thermal and Narrowband Multispectral Remote Sensing for Vegetation Monitoring From an Unmanned Aerial Vehicle
- (2009) J. Berni et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now