The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

jing tang profile picture

Jing Tang

Researcher

jing tang profile picture

Combining hyperspectral UAV and multispectral Formosat-2 imagery for precision agriculture applications

Author

  • C. M. Gevaert
  • J. Tang
  • F. J. García-Haro
  • J. Suomalainen
  • L. Kooistra

Summary, in English

Remote sensing is a key tool for precision agriculture applications as it is capable of capturing spatial and temporal variations in crop status. However, satellites often have an inadequate spatial resolution for precision agriculture applications. High-resolution Unmanned Aerial Vehicles (UAV) imagery can be obtained at flexible dates, but operational costs may limit the collection frequency. The current study utilizes data fusion to create a dataset which benefits from the temporal resolution of Formosat-2 imagery and the spatial resolution of UAV imagery with the purpose of monitoring crop growth in a potato field. The correlation of the Weighted Difference Vegetation Index (WDVI) from fused imagery to measured crop indicators at field level and added value of the enhanced spatial and temporal resolution are discussed. The results of the STARFM method were restrained by the requirement of same-day base imagery. However, the unmixing-based method provided a high correlation to the field data and accurately captured the WDVI temporal variation at field level (r=0.969).

Department/s

  • Dept of Physical Geography and Ecosystem Science
  • MERGE: ModElling the Regional and Global Earth system

Publishing year

2017-10-19

Language

English

Publication/Series

2014 6th Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing, WHISPERS 2014

Volume

2014-June

Document type

Conference paper

Publisher

IEEE Computer Society

Topic

  • Other Agricultural Sciences not elsewhere specified
  • Other Electrical Engineering, Electronic Engineering, Information Engineering

Keywords

  • precision agriculture
  • STARFM
  • UAV
  • unmixing-based data fusion
  • WDVI

Conference name

6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2014

Conference date

2014-06-24 - 2014-06-27

Conference place

Lausanne, Switzerland

Status

Published

ISBN/ISSN/Other

  • ISBN: 9781467390125