Next Article in Journal
Mapping Natura 2000 Habitat Conservation Status in a Pannonic Salt Steppe with Airborne Laser Scanning
Next Article in Special Issue
Evaluating Multispectral Images and Vegetation Indices for Precision Farming Applications from UAV Images
Previous Article in Journal
ASTC-MIMO-TOPS Mode with Digital Beam-Forming in Elevation for High-Resolution Wide-Swath Imaging
Previous Article in Special Issue
UAV Remote Sensing for Urban Vegetation Mapping Using Random Forest and Texture Analysis
Article Menu

Export Article

Open AccessArticle
Remote Sens. 2015, 7(3), 2971-2990; doi:10.3390/rs70302971

Intercomparison of UAV, Aircraft and Satellite Remote Sensing Platforms for Precision Viticulture

1
IBIMET CNR–Istituto di Biometeorologia, Consiglio Nazionale delle Ricerche, via G. Caproni 8, 50145 Firenze, Italy
2
DSAA-Dipartimento di Scienze Agrarie, Alimentari e Ambientali, Università di Perugia, Borgo XX Giugno 7, 06123 Perugia, Italy
3
Dipartimento di Scienze Agrarie, Forestali e Agroalimentari, Università di Torino, Via Leonardo Da Vinci 44, 10095 Grugliasco, Italy
4
Terrasystems.r.l., Via Pacinotti, 5, 01100 Viterbo, Italy
*
Author to whom correspondence should be addressed.
Academic Editors: Georg Bareth, Pablo J. Zarco-Tejada, Clement Atzberger and Prasad S. Thenkabail
Received: 14 November 2014 / Revised: 15 January 2015 / Accepted: 17 February 2015 / Published: 13 March 2015
View Full-Text   |   Download PDF [19918 KB, uploaded 13 March 2015]   |  

Abstract

Precision Viticulture is experiencing substantial growth thanks to the availability of improved and cost-effective instruments and methodologies for data acquisition and analysis, such as Unmanned Aerial Vehicles (UAV), that demonstrated to compete with traditional acquisition platforms, such as satellite and aircraft, due to low operational costs, high operational flexibility and high spatial resolution of imagery. In order to optimize the use of these technologies for precision viticulture, their technical, scientific and economic performances need to be assessed. The aim of this work is to compare NDVI surveys performed with UAV, aircraft and satellite, to assess the capability of each platform to represent the intra-vineyard vegetation spatial variability. NDVI images of two Italian vineyards were acquired simultaneously from different multi-spectral sensors onboard the three platforms, and a spatial statistical framework was used to assess their degree of similarity. Moreover, the pros and cons of each technique were also assessed performing a cost analysis as a function of the scale of application. Results indicate that the different platforms provide comparable results in vineyards characterized by coarse vegetation gradients and large vegetation clusters. On the contrary, in more heterogeneous vineyards, low-resolution images fail in representing part of the intra-vineyard variability. The cost analysis showed that the adoption of UAV platform is advantageous for small areas and that a break-even point exists above five hectares; above such threshold, airborne and then satellite have lower imagery cost. View Full-Text
Keywords: precision agriculture; Unmanned Aerial Vehicle (UAV); remote sensing precision agriculture; Unmanned Aerial Vehicle (UAV); remote sensing
Figures

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Matese, A.; Toscano, P.; Di Gennaro, S.F.; Genesio, L.; Vaccari, F.P.; Primicerio, J.; Belli, C.; Zaldei, A.; Bianconi, R.; Gioli, B. Intercomparison of UAV, Aircraft and Satellite Remote Sensing Platforms for Precision Viticulture. Remote Sens. 2015, 7, 2971-2990.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top