Monitoring East Asian migratory locust plagues using remote sensing data and field investigations

Ma, Jianwen; Han, Xiuzhen; Hasibagan,; Wang, Changlin; Yue-jin, Zhang; Jin-yi, Tang; Xie, Zhiyu; Deveson, Ted

doi:10.1080/01431160310001595019

Cited by 27 publications

(14 citation statements)

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“…It was possible to monitor the ongoing outbreak 101 and identify the affected areas with 89 to 98% accuracy. 102,103 Satellite-derived information was more accurate than the one derived from traditional ground surveys, but the situation was complicated by overlapping annual generations of the locust. 104 Despite these research efforts, to our knowledge, remote sensing is not yet a part of practical monitoring and forecasting of the Oriental migratory locust by Chinese locust control services.…”

Section: Oriental Migratory Locust L M Manilensismentioning

confidence: 99%

“…terminifera and, to a very limited extent, to L. migratoria. [90][91][92][93][94][95][101][102][103][104] Applications to other locusts range from scarce to nonexistent. 47 Therefore, after a period of over-enthusiastic claims and views of the remote sensing as a panacea for solving locust problems, the research reports in the beginning of the 2000s sounded more cautious, if not skeptical.…”

Section: Other Locustsmentioning

confidence: 99%

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Locusts and remote sensing: a review

Latchininsky

2013

J. Appl. Remote Sens

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A dozen species of locusts (Orthoptera: Acrididae) are a major threat to food security worldwide. Their outbreaks occur on every continent except Antarctica, threatening the livelihood of 10% of the world's population. The locusts are infamous for their voracity, polyphagy, and capacity for long-distance migrations. Decades of research revealed very complex bioecology of locusts. They exist in two, inter-convertible and density-dependent states, or "phases." Despite the evident progress in understanding locust behavior, our ability to predict and manage locust outbreaks remains insufficient, as evidenced by locust plagues still occurring during the 21st century. One of the main reasons is that locusts typically inhabit remote and scarcely populated areas, and their distribution ranges often spread across continents. This creates tremendous obstacles for locust population monitoring and control. Traditional ground locust surveys are inadequate to address the enormous spatial scale of the locust problem in a limited window of time dictated by the pest's development. Remote sensing (satellite information) appears a promising tool in locust monitoring. Satellite data are increasingly used for monitoring and forecasting two locust species, the desert and the Australian plague locust. However, applications of this geospatial technology to other locust species remain rare. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Section: Oriental Migratory Locust L M Manilensismentioning

confidence: 99%

Section: Other Locustsmentioning

confidence: 99%

Locusts and remote sensing: a review

Latchininsky

2013

J. Appl. Remote Sens

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“…NDVI and other satellite-derived vegetation indices have been used for monitoring and early warning of insect herbivore damage in a climate-change context for outbreaks of insect defoliators in forests (Eklundh et al, 2009), mortality of lodge pole pine induced by bark beetle (Coops et al, 2009), and especially locust outbreaks. Examples of the latter include FAO's pioneering studies on desert locusts in Africa (Hielkema et al, 1986;Cherlet et al, 1991;Cressman, 1996;Voss and Dreiser 1997), Australian plague locust (McCulloch and Hunter, 1983), East Asian migratory locust in China (Ji et al, 2004;Ma et al, 2005;Liu et al, 2008), and locust infestations in Uzbekistan (Sivanpillai and Latchininsky, 2007).…”

Section: Remote Sensingmentioning

confidence: 99%

Climate Change Effects on Plant-Pest-Natural Enemy Interactions

Gutiérrez¹,

Ponti²,

Gilioli

et al. 2010

Handbook of Climate Change and Agroecosystems

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“…In recent years, the areas damaged by L. migratoria migratoria have enlarged geographically in China (Ma et al 2005;Zhang et al 2009), and it has caused billions of dollars in property damage. Thus, knowing the dynamics of pest populations is crucial in determining effective control tactics, when to initiate the tactics, and the tactics, once implemented, are successful.…”

Section: Introductionmentioning

confidence: 99%

Application of insect songs in monitoring population density level of Locusta migratoria migratoria (Orthoptera: Acrididae)

et al. 2014

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Background: The locusts Locusta migratoria migratoria (Orthoptera: Acrididae) is the most destructive agricultural pests worldwide, the population and distribution of L. migratoria migratoria growing rapidly in recent years. It is crucial to find a green, economical way to monitor this insect's population for effective control tactics. In this study, acoustic samples were recorded and analyzed under three different density levels of Asian migratory locust L. migratoria migratoria. Results:The results showed that the songs of L. migratoria migratoria had a very stable acoustic feature in time domains; then, we used duration of pulse as a tool for identifying and counting the numbers of pulse to classify the population size. After removing the background noises, an automatic density classification and monitoring system was established based on the backpropagation (BP) neural network. The field sample test showed that the accuracy of the density level recognition reached 96.67%.

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Monitoring East Asian migratory locust plagues using remote sensing data and field investigations

Cited by 27 publications

References 1 publication

Locusts and remote sensing: a review

Locusts and remote sensing: a review

Climate Change Effects on Plant-Pest-Natural Enemy Interactions

Application of insect songs in monitoring population density level of Locusta migratoria migratoria (Orthoptera: Acrididae)

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