• Corpus ID: 391341

Development of an Unmanned Aerial Vehicle (UAV) for hyper-resolution vineyard mapping based on visible, multispectral and thermal imagery

  title={Development of an Unmanned Aerial Vehicle (UAV) for hyper-resolution vineyard mapping based on visible, multispectral and thermal imagery},
  author={Darren Turner and Arko Lucieer and Christopher Stephen Watson},
Unmanned Aerial Vehicles (UAVs) are an exciting new remote sensing tool capable of acquiring high resolution spatial data. This study has developed a UAV capable of collecting hyper resolution visible, multispectral and thermal imagery for application to Precision Viticulture (PV). Traditional modes of data collection are not well suited to the detection of subtle but important changes in vineyard structure given low temporal and spatial resolutions. Mapping with UAVs has the potential to… 

Assessing the Accuracy of Georeferenced Point Clouds Produced via Multi-View Stereopsis from Unmanned Aerial Vehicle (UAV) Imagery

It is concluded that sub-decimetre terrain change (in this case coastal erosion) can be monitored and UAV-based image capture provides the spatial and temporal resolution required to map and monitor natural landscapes.

Multi-view stereopsis (MVS) from an unmanned aerial vehicle (UAV) for natural landform mapping

Unmanned aerial vehicles (UAVs) or drones have become a cost-effective tool for surveying and mapping. UAV photogrammetry using Multi-View Stereopsis (MVS), known as UAV-MVS, is a technique that

Calibration of Satellite Imagery with Multispectral UAV Imagery

  • K. JainAkshay Pandey
  • Environmental Science, Mathematics
    Journal of the Indian Society of Remote Sensing
  • 2020
Unmanned aerial vehicle (UAV)-based multispectral remote sensing has shown a tremendous potential normalized difference vegetation index (NDVI) for precision agriculture. In this study, data captured

Unmanned aerial vehicles (UAVs) for multi-temporal crop surface modelling. A new method for plant height and biomass estimation based on RGB-imaging

Data collection with unmanned aerial vehicles (UAVs) fills a gap on the observational scale in re-mote sensing by delivering high spatial and temporal resolution data that is required in crop growth

Deploying four optical UAV-based sensors over grassland: challenges and limitations

The UAV STS spectrometer and the multispectral camera MCA6 were found to deliver spectral data that can match the spectral measurements of an ASD at ground level when compared over all waypoints and Variability was highest in the near-infrared bands for both sensors.

Digital surface model applied to unmanned aerial vehicle based photogrammetry to assess potential biotic or abiotic effects on grapevine canopies

Abstract: Accurate data acquisition and analysis to obtain crop canopy information are critical steps to understand plant growth dynamics and to assess the potential impacts of biotic or abiotic

Multispectral Remote Sensing from Unmanned Aircraft: Image Processing Workflows and Applications for Rangeland Environments

Challenges and solutions associated with efficient processing of multispectral imagery to obtain orthorectified, radiometrically calibrated image mosaics for the purpose of rangeland vegetation classification are described.

Recent applications of unmanned aerial imagery in natural resource management

Unmanned aerial vehicles have become popular platforms for remote-sensing applications, particularly when spaceborne technology, manned airborne techniques, and in situ methods are not as efficient

Evaluating Multispectral Images and Vegetation Indices for Precision Farming Applications from UAV Images

The paper demonstrates the great potential of high-resolution UAV data and photogrammetric techniques applied in the agriculture framework to collect multispectral images and evaluate different VI, suggesting that these instruments represent a fast, reliable, and cost-effective resource in crop assessment for precision farming applications.


Abstract. This study presents a new methodological approach for assessment of spatial and qualitative aspects of forest disturbance based on the use of multispectral imaging camera with the UAV



Thermal and Narrowband Multispectral Remote Sensing for Vegetation Monitoring From an Unmanned Aerial Vehicle

The ability to generate quantitative remote sensing products by means of a helicopter-based UAV equipped with inexpensive thermal and narrowband multispectral imaging sensors is demonstrated, demonstrating comparable estimations, if not better, than those obtained by traditional manned airborne sensors.

Unmanned aerial vehicle-based remote sensing for rangeland assessment, monitoring, and management

The ability to depict the land surface commensurate with field data perspectives across broader spatial extents is unrivaled and is directly applicable to operational agency needs for measuring and monitoring.

Acquisition of NIR-Green-Blue Digital Photographs from Unmanned Aircraft for Crop Monitoring

The low cost and very-high spatial resolution associated with the camera-UAV system may provide important information for site-specific agriculture.


In this paper we present the prototype of a light-weight multi-spectral sensor which can be flown on a micro UAV and we discuss the promising results from two field tests which show the excellent

Low resolution remotely sensed images of winegrape vineyards map spatial variability in planimetric canopy area instead of leaf area index

Background and Aims:  Knowledge of the spatial variability of grapevine canopy density is useful in managing the variability of grape composition and yield. Rapid assessment of the characteristics of

RC-Heli and Structure & Motion Techniques for the 3-D Reconstruction of a Milan Dome Spire

A complete workflow for the 3-D photogrammetric surveying and modeling of complex architectonical objects to the major spire of the Dome of Milan, that is characterized by the well known striking vertical geometry and a high level of complexity.

Assessing Canopy PRI for Water Stress detection with Diurnal Airborne Imagery

Airbone remote sensing of vines for canopy variability and productivity

Grape yield-mapping in numerous districts of Victoria and South Australia, completed in the 1999 and 2000 vintages, demonstrated significant (some as large as between 4and 10fold) variations in yield

Optical remote sensing applications in viticulture - a review

The emergence of precision agriculture technologies and an increasing demand for higher quality grape products have led to a growing interest in the practice of precision viticulture; monitoring and

Accurate, Dense, and Robust Multi-View Stereopsis

A novel algorithm for calibrated multi-view stereopsis that outputs a (quasi) dense set of rectangular patches covering the surfaces visible in the input images, which is currently the top performer in terms of both coverage and accuracy for four of the six benchmark datasets presented in [20].