Open-Source Mapping Method Applied to Thermal Imagery

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


The increase of the world population has had an impact in the agricultural field. As a consequence, this implies an increase in food production. To address this demand, farmers had to boost crop yields and land sizes. The latter one led to ineffectiveness of traditional methods for crop monitoring. For this reason, farmers began to adopt and adapt technological breakthroughs into agriculture by applying the concept of remote sensing. Remote sensing aims to collect information at a distance through the use of cameras and, in some cases, aerial platforms. Furthermore, multispectral cameras allowed farmers to better understand the management of crops and crop’s health. Also, through study of literature, it was found that thermal imaging could be an important tool to measure the crop’s condition. However, due to complexity of thermal images, an open-source tool that integrated this functionality was not found. Therefore, this paper proposes an open-source method that addresses the complexities of thermal images and is able to produce maps by exploiting them.

Original languageEnglish
Title of host publicationIntelligent Computing - Proceedings of the 2022 Computing Conference
EditorsKohei Arai
Place of PublicationCham
Number of pages15
ISBN (Electronic)978-3-031-10461-9
ISBN (Print)978-3-031-10460-2
Publication statusPublished - 2022
EventComputing Conference, 2022 - Virtual, Online
Duration: 14 Jul 202215 Jul 2022

Publication series

NameLecture Notes in Networks and Systems
Volume506 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389


ConferenceComputing Conference, 2022
CityVirtual, Online


  • Orthomap
  • Photogrammetry
  • Remote sensing
  • Structure from Motion (SfM)
  • Thermal images


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