Multispectral mapping in agriculture: Terrain mosaic using an autonomous quadcopter UAV

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

56 Scopus citations

Abstract

This work presents our initial approach to remote sensing and precision agriculture for monitoring crop fields in Colombia. Using an autonomous quadcopter UAV (unmanned aerial vehicle) equipped with a multispectral camera onboard, our goal is to provide farmers with an integrated tool for measuring and assessing live green vegetation by assembling a terrain image mosaic based on capturing multispectral images of the terrain. This paper presents how to integrate an UAV-based solution for capturing geo-tagged multispectral imagery and the methods to compute multispectral image mosaics. A field report shows preliminary results of the experiments carried out in crop farms located nearby Bogota, Colombia.

Original languageEnglish
Title of host publication2016 International Conference on Unmanned Aircraft Systems, ICUAS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1351-1358
Number of pages8
ISBN (Electronic)9781467393331
DOIs
StatePublished - 30 Jun 2016
Event2016 International Conference on Unmanned Aircraft Systems, ICUAS 2016 - Arlington, United States
Duration: 07 Jun 201610 Jun 2016

Publication series

Name2016 International Conference on Unmanned Aircraft Systems, ICUAS 2016

Conference

Conference2016 International Conference on Unmanned Aircraft Systems, ICUAS 2016
Country/TerritoryUnited States
CityArlington
Period07/06/1610/06/16

Keywords

  • image mosaic
  • multispectral imaging
  • remote UAV sensing
  • vegetation index

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