Multi-Scale Remote Sensing for Fall Armyworm Monitoring and Early Warning Systems

Ma Luisa Buchaillot; Jill Cairns; Esnath Hamadziripi; Kenneth Wilson; David Hughes; John Chelal; Peter McCloskey; Annalyse Kehs; Nicholas Clinton; Keith Cressman; Jose Luis Araus; Shawn C. Kefauver

doi:10.1109/IGARSS39084.2020.9323181

Multi-Scale Remote Sensing for Fall Armyworm Monitoring and Early Warning Systems

Ma Luisa Buchaillot, Jill Cairns, Esnath Hamadziripi, Kenneth Wilson, David Hughes, John Chelal, Peter McCloskey, Annalyse Kehs, Nicholas Clinton, Keith Cressman, Jose Luis Araus, Shawn C. Kefauver

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

6 Scopus citations

Abstract

Fall armyworm (FAW) is a polyphagus pest with a preference for young maize leaves that relocates to the cob during cob development and can devastate maize yields. Time series anomaly change detection and first derivative growth pattern analyses were conducted under the hypothesis that, if unimpeded and occurring during the vegetativegrowth stage, FAW presence will result in a reduction of the LAI or total green biomass (NDVI) of the crop. We have conducted observations NDVI/LAI at three different scales from continental to field scales., (i) Sentinel-2 a+b and (ii) micro-satellite Planet Scope, (iii) multispectral camera. Correlations between LAI and (i) NDVI of (i, ii, iii) were R2 0.60, 0.66 and 0.35, respectively. The NDVI time series and first derivative were then compared to the FAW damage recorded using a mobile app.

Original language	English (US)
Title of host publication	2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	4886-4889
Number of pages	4
ISBN (Electronic)	9781728163741
DOIs	https://doi.org/10.1109/IGARSS39084.2020.9323181
State	Published - Sep 26 2020
Event	2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Virtual, Waikoloa, United States Duration: Sep 26 2020 → Oct 2 2020

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference	2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020
Country/Territory	United States
City	Virtual, Waikoloa
Period	9/26/20 → 10/2/20

All Science Journal Classification (ASJC) codes

Computer Science Applications
General Earth and Planetary Sciences

Access to Document

10.1109/IGARSS39084.2020.9323181

Cite this

Buchaillot, M. L., Cairns, J., Hamadziripi, E., Wilson, K., Hughes, D., Chelal, J., McCloskey, P., Kehs, A., Clinton, N., Cressman, K., Araus, J. L., & Kefauver, S. C. (2020). Multi-Scale Remote Sensing for Fall Armyworm Monitoring and Early Warning Systems. In 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings (pp. 4886-4889). Article 9323181 (International Geoscience and Remote Sensing Symposium (IGARSS)). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS39084.2020.9323181

Buchaillot, Ma Luisa ; Cairns, Jill ; Hamadziripi, Esnath et al. / Multi-Scale Remote Sensing for Fall Armyworm Monitoring and Early Warning Systems. 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 4886-4889 (International Geoscience and Remote Sensing Symposium (IGARSS)).

@inproceedings{f2b54ff826d74e78adffaddbf7758aaf,

title = "Multi-Scale Remote Sensing for Fall Armyworm Monitoring and Early Warning Systems",

abstract = "Fall armyworm (FAW) is a polyphagus pest with a preference for young maize leaves that relocates to the cob during cob development and can devastate maize yields. Time series anomaly change detection and first derivative growth pattern analyses were conducted under the hypothesis that, if unimpeded and occurring during the vegetativegrowth stage, FAW presence will result in a reduction of the LAI or total green biomass (NDVI) of the crop. We have conducted observations NDVI/LAI at three different scales from continental to field scales., (i) Sentinel-2 a+b and (ii) micro-satellite Planet Scope, (iii) multispectral camera. Correlations between LAI and (i) NDVI of (i, ii, iii) were R2 0.60, 0.66 and 0.35, respectively. The NDVI time series and first derivative were then compared to the FAW damage recorded using a mobile app.",

author = "Buchaillot, {Ma Luisa} and Jill Cairns and Esnath Hamadziripi and Kenneth Wilson and David Hughes and John Chelal and Peter McCloskey and Annalyse Kehs and Nicholas Clinton and Keith Cressman and Araus, {Jose Luis} and Kefauver, {Shawn C.}",

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doi = "10.1109/IGARSS39084.2020.9323181",

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Buchaillot, ML, Cairns, J, Hamadziripi, E, Wilson, K, Hughes, D, Chelal, J, McCloskey, P, Kehs, A, Clinton, N, Cressman, K, Araus, JL & Kefauver, SC 2020, Multi-Scale Remote Sensing for Fall Armyworm Monitoring and Early Warning Systems. in 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings., 9323181, International Geoscience and Remote Sensing Symposium (IGARSS), Institute of Electrical and Electronics Engineers Inc., pp. 4886-4889, 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020, Virtual, Waikoloa, United States, 9/26/20. https://doi.org/10.1109/IGARSS39084.2020.9323181

Multi-Scale Remote Sensing for Fall Armyworm Monitoring and Early Warning Systems. / Buchaillot, Ma Luisa; Cairns, Jill; Hamadziripi, Esnath et al.
2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. p. 4886-4889 9323181 (International Geoscience and Remote Sensing Symposium (IGARSS)).

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

TY - GEN

T1 - Multi-Scale Remote Sensing for Fall Armyworm Monitoring and Early Warning Systems

AU - Buchaillot, Ma Luisa

AU - Cairns, Jill

AU - Hamadziripi, Esnath

AU - Wilson, Kenneth

AU - Hughes, David

AU - Chelal, John

AU - McCloskey, Peter

AU - Kehs, Annalyse

AU - Clinton, Nicholas

AU - Cressman, Keith

AU - Araus, Jose Luis

AU - Kefauver, Shawn C.

PY - 2020/9/26

Y1 - 2020/9/26

N2 - Fall armyworm (FAW) is a polyphagus pest with a preference for young maize leaves that relocates to the cob during cob development and can devastate maize yields. Time series anomaly change detection and first derivative growth pattern analyses were conducted under the hypothesis that, if unimpeded and occurring during the vegetativegrowth stage, FAW presence will result in a reduction of the LAI or total green biomass (NDVI) of the crop. We have conducted observations NDVI/LAI at three different scales from continental to field scales., (i) Sentinel-2 a+b and (ii) micro-satellite Planet Scope, (iii) multispectral camera. Correlations between LAI and (i) NDVI of (i, ii, iii) were R2 0.60, 0.66 and 0.35, respectively. The NDVI time series and first derivative were then compared to the FAW damage recorded using a mobile app.

AB - Fall armyworm (FAW) is a polyphagus pest with a preference for young maize leaves that relocates to the cob during cob development and can devastate maize yields. Time series anomaly change detection and first derivative growth pattern analyses were conducted under the hypothesis that, if unimpeded and occurring during the vegetativegrowth stage, FAW presence will result in a reduction of the LAI or total green biomass (NDVI) of the crop. We have conducted observations NDVI/LAI at three different scales from continental to field scales., (i) Sentinel-2 a+b and (ii) micro-satellite Planet Scope, (iii) multispectral camera. Correlations between LAI and (i) NDVI of (i, ii, iii) were R2 0.60, 0.66 and 0.35, respectively. The NDVI time series and first derivative were then compared to the FAW damage recorded using a mobile app.

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M3 - Conference contribution

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SP - 4886

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BT - 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 26 September 2020 through 2 October 2020

ER -

Buchaillot ML, Cairns J, Hamadziripi E, Wilson K, Hughes D, Chelal J et al. Multi-Scale Remote Sensing for Fall Armyworm Monitoring and Early Warning Systems. In 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2020. p. 4886-4889. 9323181. (International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS39084.2020.9323181

Multi-Scale Remote Sensing for Fall Armyworm Monitoring and Early Warning Systems

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