Paper Info
Title
MAIA S2 Versus Sentinel 2: Spectral Issues and Their Effects in the Precision Farming Context
Abstract
Precision agriculture involves the integration of new technologies including Geographic Information Systems (GIS), Global Navigation Satellites Systems (GNSS) and Remote Sensing (RS) platforms and sensors to allow farmers to maximize the cost-benefit ratio, rather than using the traditional whole-field approach. MAIA S2 is a recent multispectral aerial sensor in strong expansion in the agricultural sector. In this work, MAIA S2 spectral properties were compared with the correspondent Sentinel-2 ones, focusing on possible effects that differences could induce onto agriculture related deductions. The reference dataset was acquired by aerial survey and radiometric and geometric pre-processing achieved to generate the correspondent at-the-ground reflectance multispectral orthomosaic by ordinary workflow as suggested by sensor suppliers. A comparison was achieved at single band level to test spectral consistency of the two data. It showed a low correlation in the red-edge and infrared bands (r < 0.5); oppositely, a higher correlation was found for the visible bands (r > 0.8). To test the effects of found discrepancies between the two data, the correspondent prescription maps were generated using the same clustering criterion. They were then compared to test consistency of deductions.
Year
DOI
Venue
2021
10.1007/978-3-030-87007-2_5
COMPUTATIONAL SCIENCE AND ITS APPLICATIONS, ICCSA 2021, PT VII
Keywords
DocType
Volume
Precision agriculture, MAIA S2 sensor, Sentinel-2, Precision farming, Prescription maps, MAIA S2 radiometric accuracy
Conference
12955
ISSN
Citations 
PageRank 
0302-9743
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Filippo Sarvia100.34
Samuele De Petris200.34
Tommaso Orusa300.34
Enrico Borgogno Mondino493.29