Limitations of Remote Sensing in Assessing Vegetation Damage Due to the 2019–2021 Desert Locust Upsurge

The 2019–2020 Desert Locust (DL) upsurge in East Africa threatened food security for millions in the region. This highlighted the need to track and quantify the damaging impacts of the swarming insects on cropland and rangelands. Satellite Earth observations (EO) data have the potential to contribut...

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Autores principales:	Emily C. Adams, Helen B. Parache, Emil Cherrington, Walter L. Ellenburg, Vikalp Mishra, Ronan Lucey, Catherine Nakalembe
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	locust NDVI vegetation damage assessment MODIS harmonized landsat sentinel Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/1cf8d8b26d014d86b1ce5464decc657c
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spelling	oai:doaj.org-article:1cf8d8b26d014d86b1ce5464decc657c2021-12-01T03:10:57ZLimitations of Remote Sensing in Assessing Vegetation Damage Due to the 2019–2021 Desert Locust Upsurge2624-955310.3389/fclim.2021.714273https://doaj.org/article/1cf8d8b26d014d86b1ce5464decc657c2021-09-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fclim.2021.714273/fullhttps://doaj.org/toc/2624-9553The 2019–2020 Desert Locust (DL) upsurge in East Africa threatened food security for millions in the region. This highlighted the need to track and quantify the damaging impacts of the swarming insects on cropland and rangelands. Satellite Earth observations (EO) data have the potential to contribute to DL damage assessments that can inform control measures, aid distribution and recovery efforts. EO can complement traditional ground based surveys (which are currently further limited due to COVID-19), by rapidly and cost effectively capturing the full spatial scale of the DL upsurge. However, EO-based techniques struggled to accurately quantify damage from this DL upsurge due to the sporadic and localized nature of infestations impacting scale, timing, and anomalous vegetation conditions. This study analyzed time series data from MODIS, the harmonized Landsat Sentinel-2 product, and C-band radar data from Sentinel-1 to distinguish DL damage from normal senescence or other confounding factors from January to June 2020. These data were compared to in situ locust swarm, band, and non locust observations collected by the Food and Agriculture Organization (FAO) and PlantVillage. The methods presented did not produce results that could confidently differentiate senescence from locust activity, and may represent a limitation of publicly available remotely sensed data to detect DL damage. However, the higher spatial resolution data sets showed promise, and there is potential to explore commercially available satellite products such as Planet Labs for damage assessment protocols.Emily C. AdamsEmily C. AdamsHelen B. ParacheHelen B. ParacheEmil CherringtonEmil CherringtonWalter L. EllenburgWalter L. EllenburgVikalp MishraVikalp MishraRonan LuceyCatherine NakalembeFrontiers Media S.A.articlelocustNDVIvegetationdamage assessmentMODISharmonized landsat sentinelEnvironmental sciencesGE1-350ENFrontiers in Climate, Vol 3 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	locust NDVI vegetation damage assessment MODIS harmonized landsat sentinel Environmental sciences GE1-350
spellingShingle	locust NDVI vegetation damage assessment MODIS harmonized landsat sentinel Environmental sciences GE1-350 Emily C. Adams Emily C. Adams Helen B. Parache Helen B. Parache Emil Cherrington Emil Cherrington Walter L. Ellenburg Walter L. Ellenburg Vikalp Mishra Vikalp Mishra Ronan Lucey Catherine Nakalembe Limitations of Remote Sensing in Assessing Vegetation Damage Due to the 2019–2021 Desert Locust Upsurge
description	The 2019–2020 Desert Locust (DL) upsurge in East Africa threatened food security for millions in the region. This highlighted the need to track and quantify the damaging impacts of the swarming insects on cropland and rangelands. Satellite Earth observations (EO) data have the potential to contribute to DL damage assessments that can inform control measures, aid distribution and recovery efforts. EO can complement traditional ground based surveys (which are currently further limited due to COVID-19), by rapidly and cost effectively capturing the full spatial scale of the DL upsurge. However, EO-based techniques struggled to accurately quantify damage from this DL upsurge due to the sporadic and localized nature of infestations impacting scale, timing, and anomalous vegetation conditions. This study analyzed time series data from MODIS, the harmonized Landsat Sentinel-2 product, and C-band radar data from Sentinel-1 to distinguish DL damage from normal senescence or other confounding factors from January to June 2020. These data were compared to in situ locust swarm, band, and non locust observations collected by the Food and Agriculture Organization (FAO) and PlantVillage. The methods presented did not produce results that could confidently differentiate senescence from locust activity, and may represent a limitation of publicly available remotely sensed data to detect DL damage. However, the higher spatial resolution data sets showed promise, and there is potential to explore commercially available satellite products such as Planet Labs for damage assessment protocols.
format	article
author	Emily C. Adams Emily C. Adams Helen B. Parache Helen B. Parache Emil Cherrington Emil Cherrington Walter L. Ellenburg Walter L. Ellenburg Vikalp Mishra Vikalp Mishra Ronan Lucey Catherine Nakalembe
author_facet	Emily C. Adams Emily C. Adams Helen B. Parache Helen B. Parache Emil Cherrington Emil Cherrington Walter L. Ellenburg Walter L. Ellenburg Vikalp Mishra Vikalp Mishra Ronan Lucey Catherine Nakalembe
author_sort	Emily C. Adams
title	Limitations of Remote Sensing in Assessing Vegetation Damage Due to the 2019–2021 Desert Locust Upsurge
title_short	Limitations of Remote Sensing in Assessing Vegetation Damage Due to the 2019–2021 Desert Locust Upsurge
title_full	Limitations of Remote Sensing in Assessing Vegetation Damage Due to the 2019–2021 Desert Locust Upsurge
title_fullStr	Limitations of Remote Sensing in Assessing Vegetation Damage Due to the 2019–2021 Desert Locust Upsurge
title_full_unstemmed	Limitations of Remote Sensing in Assessing Vegetation Damage Due to the 2019–2021 Desert Locust Upsurge
title_sort	limitations of remote sensing in assessing vegetation damage due to the 2019–2021 desert locust upsurge
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/1cf8d8b26d014d86b1ce5464decc657c
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Limitations of Remote Sensing in Assessing Vegetation Damage Due to the 2019–2021 Desert Locust Upsurge

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