Articles
COMPARATIVE ASSESSMENT OF DIFFERENT SENSING TECHNOLOGIES FOR MAPPING THE VINEYARD
Article number
978_6
Pages
71 – 76
Language
English
Abstract
The aim of this study was the evaluation of proximal and remote surveying technologies for monitoring and highlighting the variability within vineyards.
The devices used measure the electromagnetic energy (emitted, reflected or transmitted) of leaf surface subjected to different wavelengths (spectral signature).The proximal data were detected using the ACS 210 sensor-provided LED, Light Emitting Diode (an internal light active source), which emits an active pulsed light in the red and near-IR bands, obtaining in real time the NDVI (Normalized Difference Vegetation Index) from reflectance values.
A mobile laboratory was assembled and transported by 4×4 quad-vehicles, equipped with a GPS system, a sensor for measuring the reflectance of the canopy in real-time, an ultrasonic sensor for the canopy thickness map, and an infrared sensor to measure temperature.
Furthermore, we developed a special software and hardware to implement and acquire data in continuum.
The remote data were taken using DFR (Duncan Flir Riegl) sensors that acquire data in visible, near-IR and thermal bands.
The system consisted of a GPS unit, GPS/INS unit, laser altimeter, thermal infrared camera, and a multispectral camera.
These apparatus are combined in a single system of acquisition, flexible and configurable by the user.
System management software was developed, which allows the acquisition by each sensor and the storage of position and altitude of the aircraft associated with the captured images, besides all the other accessory parameters.
Synchronization between GPS and cameras is handled by TTL (Transistor-Transistor Logic) trigger signals.
The NDVI generated from spectral bands provides information about vine biomass and plant vigor, however, is not a unique item for vineyard evaluation.
This work was conducted simultaneously in three experimental vineyards selected in the Chianti Classico DOCG area, on which multispectral data were detected by two methods and results were compared; cultivar (Sangiovese), soil and canopy management is the same in all vineyards.
The data were acquired twice by both monitoring systems during the summer of 2011 for determining NDVI values.
The devices used measure the electromagnetic energy (emitted, reflected or transmitted) of leaf surface subjected to different wavelengths (spectral signature).The proximal data were detected using the ACS 210 sensor-provided LED, Light Emitting Diode (an internal light active source), which emits an active pulsed light in the red and near-IR bands, obtaining in real time the NDVI (Normalized Difference Vegetation Index) from reflectance values.
A mobile laboratory was assembled and transported by 4×4 quad-vehicles, equipped with a GPS system, a sensor for measuring the reflectance of the canopy in real-time, an ultrasonic sensor for the canopy thickness map, and an infrared sensor to measure temperature.
Furthermore, we developed a special software and hardware to implement and acquire data in continuum.
The remote data were taken using DFR (Duncan Flir Riegl) sensors that acquire data in visible, near-IR and thermal bands.
The system consisted of a GPS unit, GPS/INS unit, laser altimeter, thermal infrared camera, and a multispectral camera.
These apparatus are combined in a single system of acquisition, flexible and configurable by the user.
System management software was developed, which allows the acquisition by each sensor and the storage of position and altitude of the aircraft associated with the captured images, besides all the other accessory parameters.
Synchronization between GPS and cameras is handled by TTL (Transistor-Transistor Logic) trigger signals.
The NDVI generated from spectral bands provides information about vine biomass and plant vigor, however, is not a unique item for vineyard evaluation.
This work was conducted simultaneously in three experimental vineyards selected in the Chianti Classico DOCG area, on which multispectral data were detected by two methods and results were compared; cultivar (Sangiovese), soil and canopy management is the same in all vineyards.
The data were acquired twice by both monitoring systems during the summer of 2011 for determining NDVI values.
Authors
P. Storchi, R. Perria, D. Sarri, M. Rimediotti, M. Vieri
Keywords
precision viticulture, NDVI, proximal sensing, remote sensing, Sangiovese
Online Articles (46)