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

Digital Aerial Photogrammetry for Uneven-Aged Forest Management: Assessing the Potential to Reconstruct Canopy Structure and Estimate Living Biomass

(2019) Sadeepa Jayathunga et al.   Remote Sensing

Comparison of UAV LiDAR and Digital Aerial Photogrammetry Point Clouds for Estimating Forest Structural Attributes in Subtropical Planted Forests

(2019) Lin Cao et al.   Forests

Comparing UAV-Based Technologies and RGB-D Reconstruction Methods for Plant Height and Biomass Monitoring on Grass Ley

(2019) Victor Rueda-Ayala et al.   SENSORS

Dynamic monitoring of biomass of rice under different nitrogen treatments using a lightweight UAV with dual image-frame snapshot cameras

(2019) Haiyan Cen et al.   Plant Methods

Winter Wheat Canopy Height Extraction from UAV-Based Point Cloud Data with a Moving Cuboid Filter

(2019) Yang Song et al.   Remote Sensing

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

(2019) Yaxiao Niu et al.   Remote Sensing

Combining hyperspectral imagery and LiDAR pseudo-waveform for predicting crop LAI, canopy height and above-ground biomass

(2019) Shezhou Luo et al.   ECOLOGICAL INDICATORS

AGB Estimation in a Tropical Mountain Forest (TMF) by Means of RGB and Multispectral Images Using an Unmanned Aerial Vehicle (UAV)

(2019) Víctor González-Jaramillo et al.   Remote Sensing

Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches

(2019) Yaping Cai et al.   AGRICULTURAL AND FOREST METEOROLOGY

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 Grassland Canopy Height and Aboveground Biomass at the Quadrat Scale Using Unmanned Aerial Vehicle

(2018) Huifang Zhang et al.   Remote Sensing

Evaluation of the PROSAIL Model Capabilities for Future Hyperspectral Model Environments: A Review Study

(2018) Katja Berger et al.   Remote Sensing

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

(2018) Jibo Yue et al.   Remote Sensing

Spectral Invariant Provides a Practical Modeling Approach for Future Biophysical Variable Estimations

(2018) Yelu Zeng et al.   Remote Sensing

Mapping daily leaf area index at 30 m resolution over a meadow steppe area by fusing Landsat, Sentinel-2A and MODIS data

(2018) Zhenwang Li et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

High-Resolution UAV-Based Hyperspectral Imagery for LAI and Chlorophyll Estimations from Wheat for Yield Prediction

(2018) Martin Kanning et al.   Remote Sensing

Assessment of red-edge vegetation indices for crop leaf area index estimation

(2018) Taifeng Dong et al.   REMOTE SENSING OF ENVIRONMENT

Estimating above ground biomass of winter wheat at early growth stages using digital images and deep convolutional neural network

(2018) Juncheng Ma et al.   EUROPEAN JOURNAL OF AGRONOMY

Mapping vegetation biophysical and biochemical properties using unmanned aerial vehicles-acquired imagery

(2017) Bing Lu et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Monitoring nitrogen status of potatoes using small unmanned aerial vehicles

(2017) E. Raymond Hunt et al.   PRECISION AGRICULTURE

UAV lidar and hyperspectral fusion for forest monitoring in the southwestern USA

(2017) Temuulen Sankey et al.   REMOTE SENSING OF ENVIRONMENT

Comparing RIEGL RiCOPTER UAV LiDAR Derived Canopy Height and DBH with Terrestrial LiDAR

(2017) Benjamin Brede et al.   SENSORS

Mapping Reflectance Anisotropy of a Potato Canopy Using Aerial Images Acquired with an Unmanned Aerial Vehicle

(2017) Peter Roosjen 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

Estimation of Wheat LAI at Middle to High Levels Using Unmanned Aerial Vehicle Narrowband Multispectral Imagery

(2017) Xia Yao 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

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

Estimation of canopy clumping index from MISR and MODIS sensors using the normalized difference hotspot and darkspot (NDHD) method: The influence of BRDF models and solar zenith angle

(2016) Shanshan Wei et al.   REMOTE SENSING OF ENVIRONMENT

Estimating maize biomass and yield over large areas using high spatial and temporal resolution Sentinel-2 like remote sensing data

(2016) Marjorie Battude et al.   REMOTE SENSING OF ENVIRONMENT

Assessment of RapidEye vegetation indices for estimation of leaf area index and biomass in corn and soybean crops

(2015) Angela Kross 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

Influence of acquisition time and resolution on wheat yield estimation at the field scale from canopy biophysical variables retrieved from SPOT satellite data

(2015) F. Castaldi 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

UAV Deployment Exercise for Mapping Purposes: Evaluation of Emergency Response Applications

(2015) Piero Boccardo et al.   SENSORS

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

A novel two-step method for winter wheat-leaf chlorophyll content estimation using a hyperspectral vegetation index

(2014) Quanjun Jiao et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Estimation of water-related biochemical and biophysical vegetation properties using multitemporal airborne hyperspectral data and its comparison to MODIS spectral response

(2014) A. Casas 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

The application of small unmanned aerial systems for precision agriculture: a review

(2012) Chunhua Zhang et al.   PRECISION AGRICULTURE

Mind the gap: how do climate and agricultural management explain the ‘yield gap’ of croplands around the world?

(2010) Rachel Licker et al.   GLOBAL ECOLOGY AND BIOGEOGRAPHY

Nonlinear hierarchical models for predicting cover crop biomass using Normalized Difference Vegetation Index

(2010) Juan David Muñoz et al.   REMOTE SENSING OF ENVIRONMENT

A generalized regression-based model for forecasting winter wheat yields in Kansas and Ukraine using MODIS data

(2010) I. Becker-Reshef et al.   REMOTE SENSING OF ENVIRONMENT

A pseudo-waveform technique to assess forest structure using discrete lidar data

(2010) Jordan D. Muss et al.   REMOTE SENSING OF ENVIRONMENT

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

Advances in Multi-Sensor Data Fusion: Algorithms and Applications

(2009) Jiang Dong et al.   SENSORS

Mapping leaf chlorophyll and leaf area index using inverse and forward canopy reflectance modeling and SPOT reflectance data

(2007) R HOUBORG et al.   REMOTE SENSING OF ENVIRONMENT