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Timely monitoring of Asian Migratory locust habitats in the Amudarya delta, Uzbekistan, using time series of satellite remote sensing vegetation index

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Title Timely monitoring of Asian Migratory locust habitats in the Amudarya delta, Uzbekistan, using time series of satellite remote sensing vegetation index
 
Creator Loew, Fabian
 
Contributor Waldner, François
Latchininsky, Alexandre
Biradar, Chandrashekhar
Bolkart, Maximilian
Colditz, Rene R.
 
Subject locust management
random forest
reeds
satellite earth observation
 
Description The Asian Migratory locust (Locusta migratoria migratoria L.) is a pest that continuously threatens crops
in the Amudarya River delta near the Aral Sea in Uzbekistan, Central Asia. Its development coincides with the growing period of its main food plant, a tall reed grass (Phragmites australis), which represents the predominant vegetation in the delta and which cover vast areas of the former Aral Sea, which is
desiccating since the 1960s. Current locust survey methods and control practices would tremendously
benefit from accurate and timely spatially explicit information on the potential locust habitat distribu-
tion. To that aim, satellite observation from the MODIS Terra/Aqua satellites and in-situ observations
were combined to monitor potential locust habitats according to their corresponding risk of infestations
along the growing season. A Random Forest (RF) algorithm was applied for classifying time series of
MODIS enhanced vegetation index (EVI) from 2003 to 2014 at an 8-day interval. Based on an indepen-
dent ground truth data set, classification accuracies of reeds posing a medium or high risk of locust
infestation exceeded 89% on average. For the 12-year period covered in this study, an average of 7504 km2 (28% of the observed area) was flagged as potential locust habitat and 5% represents a permanent high risk of locust infestation. Results are instrumental for predicting potential locust outbreaks
and developing well-targeted management plans. The method offers positive perspectives for locust
management and treatment of infested sites because it is able to deliver risk maps in near real time, with an accuracy of 80% in April-May which coincides with both locust hatching and the first control surveys. Such maps could help in rapid decision-making regarding control interventions against the initial locust congregations, and thus the efficiency of survey teams and the chemical treatments could be increased, thus potentially reducing environmental pollution while avoiding areas where treatments are most likely to cause environmental degradation.
 
Date 2016-12-01
2017-02-23T13:19:31Z
2017-02-23T13:19:31Z
 
Type Journal Article
 
Identifier https://mel.cgiar.org/dspace/limited
https://www.sciencedirect.com/science/article/pii/S0301479716306508?via%3Dihub
https://www.researchgate.net/publication/308088938_Timely_monitoring_of_Asian_Migratory_locust_habitats_in_the_Amudarya_delta_Uzbekistan_using_time_series_of_satellite_remote_sensing_vegetation_index
Fabian Loew, François Waldner, Alexandre Latchininsky, Chandrashekhar Biradar, Maximilian Bolkart, Rene R. Colditz. (1/12/2016). Timely monitoring of Asian Migratory locust habitats in the Amudarya delta, Uzbekistan, using time series of satellite remote sensing vegetation index. Journal of Environmental Management, 183 (part 3), pp. 562-575.
https://hdl.handle.net/20.500.11766/5914
Limited access
 
Language en
 
Format PDF
 
Publisher Elsevier
 
Source Journal of Environmental Management;183,(2016) Pagination 562-575