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Title
Olive Tree Water Stress Detection Using Daily Multispectral Imagery
Author(s)
Publication Date
2021-10-12
Abstract
<p>Daily calibrated multispectral imagery (Planet Fusion) of an olive irrigation deficit trial was used to assess the degree and speed to which vegetation indices indicate water stress. We developed normalization techniques to increase sensitivity to differences across a grove. The normalized difference vegetation index (NDVI) was able to significantly detect differences between the control and deficit treatments for the Arbequina variety. For the Picual variety, the green red vegetation index (GRVI) was the best indicator. Though multispectral imagery is not as quick at indicating irrigation deficits as in-field sensor data, it is complementary in being able to capture the spatial variability of water stress.</p>
Publication Type
Conference Publication
Source of Publication
IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, p. 5826-5829
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Place of Publication
Danvers, United States of America
ISSN
2153-7003
2153-6996
Fields of Research (FoR) 2020
Socio-Economic Objective (SEO) 2020
Peer Reviewed
Yes
HERDC Category Description
ISBN
9781665403696
9781665403689
9781665447621
Peer Reviewed
Yes
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