Jing Tang
Researcher
Combining hyperspectral UAV and multispectral Formosat-2 imagery for precision agriculture applications
Author
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