Improved estimation of aboveground biomass in wheat from RGB imagery and point cloud data acquired with a low-cost unmanned aerial vehicle system

Assessing yield and fertilizer response in heterogeneous smallholder fields with UAVs and satellites

(2018) Antonius G.T. Schut et al.   FIELD CROPS RESEARCH

Monitoring height and greenness of non-woody floodplain vegetation with UAV time series

(2018) Wimala van Iersel et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Modeling and Testing of Growth Status for Chinese Cabbage and White Radish with UAV-Based RGB Imagery

(2018) Dong-Wook Kim 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

Estimation of Vegetable Crop Parameter by Multi-temporal UAV-Borne Images

(2018) Thomas Moeckel et al.   Remote Sensing

Evaluation of RGB, Color-Infrared and Multispectral Images Acquired from Unmanned Aerial Systems for the Estimation of Nitrogen Accumulation in Rice

(2018) Hengbiao Zheng et al.   Remote Sensing

Comparative Analysis of Modeling Algorithms for Forest Aboveground Biomass Estimation in a Subtropical Region

(2018) Yukun Gao et al.   Remote Sensing

Random forests-based extreme learning machine ensemble for multi-regime time series prediction

(2017) Lin Lin et al.   EXPERT SYSTEMS WITH APPLICATIONS

Unmanned Aerial System (UAS)-based phenotyping of soybean using multi-sensor data fusion and extreme learning machine

(2017) Maitiniyazi Maimaitijiang et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Above-bottom biomass retrieval of aquatic plants with regression models and SfM data acquired by a UAV platform – A case study in Wild Duck Lake Wetland, Beijing, China

(2017) Ran Jing et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Predicting grain yield in rice using multi-temporal vegetation indices from UAV-based multispectral and digital imagery

(2017) X. Zhou et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Predicting cover crop biomass by lightweight UAS-based RGB and NIR photography: an applied photogrammetric approach

(2017) Lukas Roth et al.   PRECISION AGRICULTURE

Spectroscopic Estimation of Biomass in Canopy Components of Paddy Rice Using Dry Matter and Chlorophyll Indices

(2017) Tao Cheng et al.   Remote Sensing

Using 3D Point Clouds Derived from UAV RGB Imagery to Describe Vineyard 3D Macro-Structure

(2017) Marie Weiss et al.   Remote Sensing

Poppy Crop Height and Capsule Volume Estimation from a Single UAS Flight

(2017) Faheem Iqbal et al.   Remote Sensing

High-Throughput Phenotyping of Sorghum Plant Height Using an Unmanned Aerial Vehicle and Its Application to Genomic Prediction Modeling

(2017) Kakeru Watanabe et al.   Frontiers in Plant Science

High-Throughput Phenotyping of Plant Height: Comparing Unmanned Aerial Vehicles and Ground LiDAR Estimates

(2017) Simon Madec et al.   Frontiers in Plant Science

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

High-resolution mapping of aboveground shrub biomass in Arctic tundra using airborne lidar and imagery

(2016) Heather E. Greaves 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

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

Evaluating the relationship between biomass, percent groundcover and remote sensing indices across six winter cover crop fields in Maryland, United States

(2015) Kusuma Prabhakara et al.   International Journal of Applied Earth Observation and Geoinformation

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

Fusion of Plant Height and Vegetation Indices for the Estimation of Barley Biomass

(2015) Nora Tilly et al.   Remote Sensing

Evaluation of Six Algorithms to Monitor Wheat Leaf Nitrogen Concentration

(2015) Xia Yao et al.   Remote Sensing

Review of Machine Learning Approaches for Biomass and Soil Moisture Retrievals from Remote Sensing Data

(2015) Iftikhar Ali et al.   Remote Sensing

Multi-temporal mapping of the vegetation fraction in early-season wheat fields using images from UAV

(2014) J. Torres-Sánchez et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A multi-sensor approach for predicting biomass of extensively managed grassland

(2014) Björn Reddersen et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Tree height quantification using very high resolution imagery acquired from an unmanned aerial vehicle (UAV) and automatic 3D photo-reconstruction methods

(2014) P.J. Zarco-Tejada et al.   EUROPEAN JOURNAL OF AGRONOMY

Development and implementation of a multiscale biomass model using hyperspectral vegetation indices for winter wheat in the North China Plain

(2014) Martin L. Gnyp et al.   International Journal of Applied Earth Observation and Geoinformation

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

Correlating the Horizontal and Vertical Distribution of LiDAR Point Clouds with Components of Biomass in a Picea crassifolia Forest

(2014) Wang Li et al.   Forests

On the Semi-Automatic Retrieval of Biophysical Parameters Based on Spectral Index Optimization

(2014) Juan Rivera et al.   Remote Sensing

Estimating Biomass of Barley Using Crop Surface Models (CSMs) Derived from UAV-Based RGB Imaging

(2014) Juliane Bendig et al.   Remote Sensing

Winter wheat biomass estimation based on spectral indices, band depth analysis and partial least squares regression using hyperspectral measurements

(2013) Yuanyuan Fu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Comparison of different methods for estimating nitrogen concentration in flue-cured tobacco leaves based on hyperspectral reflectance

(2013) Fangfang Jia et al.   FIELD CROPS RESEARCH

Estimation of Wheat Agronomic Parameters using New Spectral Indices

(2013) Xiu-liang Jin et al.   PLoS One

Retrieval of spinach crop parameters by microwave remote sensing with back propagation artificial neural networks: A comparison of different transfer functions

(2012) Rajendra Prasad et al.   ADVANCES IN SPACE RESEARCH

High density biomass estimation for wetland vegetation using WorldView-2 imagery and random forest regression algorithm

(2012) Onisimo Mutanga et al.   International Journal of Applied Earth Observation and Geoinformation

Forest biomass estimation from airborne LiDAR data using machine learning approaches

(2012) Colin J. Gleason et al.   REMOTE SENSING OF ENVIRONMENT

NIR-Green-Blue High-Resolution Digital Images for Assessment of Winter Cover Crop Biomass

(2011) E. Raymond Hunt et al.   GIScience & Remote Sensing

Extreme Learning Machine for Regression and Multiclass Classification

(2011) Guang-Bin Huang et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

Comparative analysis of three chemometric techniques for the spectroradiometric assessment of canopy chlorophyll content in winter wheat

(2010) Clement Atzberger et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Leaf area index retrieval using gap fractions obtained from high resolution satellite data: Comparisons of approaches, scales and atmospheric effects

(2010) Alemu Gonsamo   International Journal of Applied Earth Observation and Geoinformation

Support vector machines in remote sensing: A review

(2010) Giorgos Mountrakis et al.   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

Verification of color vegetation indices for automated crop imaging applications

(2008) George E. Meyer et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Measuring crop biomass density by laser triangulation

(2007) Detlef Ehlert et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE