Olive Tree Water Stress Detection Using Daily Multispectral Imagery

James Brinkhoff; Alex Schultz; Luz Angelica Suarez; Andrew J Robson

doi:10.1109/IGARSS47720.2021.9553729

Olive Tree Water Stress Detection Using Daily Multispectral Imagery

James Brinkhoff, Alex Schultz, Luz Angelica Suarez, Andrew J Robson

Physics & Electronics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium
Place of Publication	Danvers, United States of America
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	5826-5829
ISBN (Print)	9781665403696, 9781665403689, 9781665447621
DOIs	https://doi.org/10.1109/IGARSS47720.2021.9553729
Publication status	Published - 12 Oct 2021
Event	IGARSS 2021: International Geoscience and Remote Sensing Symposium - Online Event, Brussels, Belgium Duration: 11 Jul 2021 → 16 Jul 2021

Conference

Conference	IGARSS 2021: International Geoscience and Remote Sensing Symposium
City	Brussels, Belgium
Period	11/07/21 → 16/07/21

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10.1109/IGARSS47720.2021.9553729

https://hdl.handle.net/1959.11/31724

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@inproceedings{cec63c1042ab48dc960c7fedc476a67a,

title = "Olive Tree Water Stress Detection Using Daily Multispectral Imagery",

abstract = "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.",

author = "James Brinkhoff and Alex Schultz and Suarez, \{Luz Angelica\} and Robson, \{Andrew J\}",

year = "2021",

month = oct,

day = "12",

doi = "10.1109/IGARSS47720.2021.9553729",

language = "English",

isbn = "9781665403696",

pages = "5826--5829",

booktitle = "IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

note = "IGARSS 2021: International Geoscience and Remote Sensing Symposium ; Conference date: 11-07-2021 Through 16-07-2021",

}

Brinkhoff, J, Schultz, A, Suarez, LA & Robson, AJ 2021, Olive Tree Water Stress Detection Using Daily Multispectral Imagery. in IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium. Institute of Electrical and Electronics Engineers (IEEE), Danvers, United States of America, pp. 5826-5829, IGARSS 2021: International Geoscience and Remote Sensing Symposium, Brussels, Belgium, 11/07/21. https://doi.org/10.1109/IGARSS47720.2021.9553729

Olive Tree Water Stress Detection Using Daily Multispectral Imagery. / Brinkhoff, James; Schultz, Alex; Suarez, Luz Angelica et al.
IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium. Danvers, United States of America: Institute of Electrical and Electronics Engineers (IEEE), 2021. p. 5826-5829.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Olive Tree Water Stress Detection Using Daily Multispectral Imagery

AU - Brinkhoff, James

AU - Schultz, Alex

AU - Suarez, Luz Angelica

AU - Robson, Andrew J

PY - 2021/10/12

Y1 - 2021/10/12

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85123406420

U2 - 10.1109/IGARSS47720.2021.9553729

DO - 10.1109/IGARSS47720.2021.9553729

M3 - Conference contribution

SN - 9781665403696

SN - 9781665403689

SN - 9781665447621

SP - 5826

EP - 5829

BT - IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Danvers, United States of America

T2 - IGARSS 2021: International Geoscience and Remote Sensing Symposium

Y2 - 11 July 2021 through 16 July 2021

ER -

Olive Tree Water Stress Detection Using Daily Multispectral Imagery

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