Next Article in Journal
Spatiotemporal Assessment of Littoral Waterbirds for Establishing Ecological Indicators of Mediterranean Coastal Lagoons
Previous Article in Journal
Estimation of Travel Time Distributions in Urban Road Networks Using Low-Frequency Floating Car Data
Article Menu
Issue 8 (August) cover image

Export Article

Open AccessArticle
ISPRS Int. J. Geo-Inf. 2017, 6(8), 255; doi:10.3390/ijgi6080255

Enabling the Use of Sentinel-2 and LiDAR Data for Common Agriculture Policy Funds Assignment

1
TRAGSA Group, Conde de Peñalver 84, 28006 Madrid, Spain
2
SINTEF, Pb. 124 Blindern, 0314 Oslo, Norway
*
Author to whom correspondence should be addressed.
Received: 15 June 2017 / Revised: 4 August 2017 / Accepted: 10 August 2017 / Published: 17 August 2017
View Full-Text   |   Download PDF [15796 KB, uploaded 17 August 2017]   |  

Abstract

A comprehensive strategy combining remote sensing and field data can be helpful for more effective agriculture management. Satellite data are suitable for monitoring large areas over time, while LiDAR provides specific and accurate data on height and relief. Both types of data can be used for calibration and validation purposes, avoiding field visits and saving useful resources. In this paper, we propose a process for objective and automated identification of agricultural parcel features based on processing and combining Sentinel-2 data (to sense different types of irrigation patterns) and LiDAR data (to detect landscape elements). The proposed process was validated in several use cases in Spain, yielding high accuracy rates in the identification of irrigated areas and landscape elements. An important application example of the work reported in this paper is the European Union (EU) Common Agriculture Policy (CAP) funds assignment service, which would significantly benefit from a more objective and automated process for the identification of irrigated areas and landscape elements, thereby enabling the possibility for the EU to save significant amounts of money yearly. View Full-Text
Keywords: Sentinel-2; LiDAR; Common Agricultural Policy (CAP); data processing Sentinel-2; LiDAR; Common Agricultural Policy (CAP); data processing
Figures

Figure 1

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

Estrada, J.; Sánchez, H.; Hernanz, L.; Checa, M.J.; Roman, D. Enabling the Use of Sentinel-2 and LiDAR Data for Common Agriculture Policy Funds Assignment. ISPRS Int. J. Geo-Inf. 2017, 6, 255.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
ISPRS Int. J. Geo-Inf. EISSN 2220-9964 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top