Share Email Print

Proceedings Paper

Applications of Sentinel-2 data for agriculture and forest monitoring using the absolute difference (ZABUD) index derived from the AgroEye software (ESA)
Author(s): R. de Kok; P. Wężyk; M. Papież; L. Migo
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

To convince new users of the advantages of the Sentinel_2 sensor, a simplification of classic remote sensing tools allows to create a platform of communication among domain specialists of agricultural analysis, visual image interpreters and remote sensing programmers. An index value, known in the remote sensing user domain as “Zabud” was selected to represent, in color, the essentials of a time series analysis. The color index used in a color atlas offers a working platform for an agricultural field control. This creates a database of test and training areas that enables rapid anomaly detection in the agricultural domain. The use cases and simplifications now function as an introduction to Sentinel_2 based remote sensing, in an area that before relies on VHR imagery and aerial data, to serve mainly the visual interpretation. The database extension with detected anomalies allows developers of open source software to design solutions for further agricultural control with remote sensing.

Paper Details

Date Published: 2 November 2017
PDF: 13 pages
Proc. SPIE 10421, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIX, 104211A (2 November 2017); doi: 10.1117/12.2277828
Show Author Affiliations
R. de Kok, ProGea Consulting (Poland)
P. Wężyk, Univ. of Agriculture in Krakow (Poland)
M. Papież, AGH Univ. of Science and Technology (Poland)
L. Migo, ProGea Consulting (Poland)

Published in SPIE Proceedings Vol. 10421:
Remote Sensing for Agriculture, Ecosystems, and Hydrology XIX
Christopher M. U. Neale; Antonino Maltese, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?