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

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.