Olive Tree Water Stress Detection Using Daily Multispectral Imagery

Author(s)
Brinkhoff, James
Schultz, Alex
Suarez, Luz Angelica
Robson, Andrew J
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>
Citation
IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, p. 5826-5829
ISBN
9781665403696
9781665403689
9781665447621
ISSN
2153-7003
2153-6996
Link
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Title
Olive Tree Water Stress Detection Using Daily Multispectral Imagery
Type of document
Conference Publication
Entity Type
Publication

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