Locust Watch

Earth observation

Locust monitoring using satellites

Currently available satellites cannot directly detect individual locusts or locust swarms. Some highly sophisticated satellites used by the military and forthcoming civilian satellites could potentially detect locust swarms but these images are not yet available. Current satellites can provide continuous estimates of rain-producing clouds and ecological conditions, such as vegetation development, which are important factors for monitoring Desert Locust habitats and forecasting locust development. The temporal, spectral and spatial characteristics of the sensor instruments onboard these satellites provide a wide range of sensing capabilities.

Rainfall estimates

DLIS uses estimates to understand better the spatial and quantitative distribution of rainfall in Desert Locust breeding areas. Although the imagery is available every 15 minutes and estimates every three hours, DLIS uses daily 24-hour, decade and monthly cumulative estimates processed by Columbia University's International Research Institute for Climate and Society (IRI). DLIS combines satellite-derived estimates with those that originate from meteorological models. This method produces global precipitation estimates from passive microwave and infrared data at high spatial and temporal resolution (CMORPH).
The accumulated rainfall during the most recent data is based on estimates from the Climate Prediction Center Morphing technique. Whenever possible, these are verified with ground data. 

 

Vegetation estimates

DLIS used to rely on 300 m resolution of NDVI and EVI imagery from the SENTINEL-2 EC Joint Research Centre (JRC) to monitor ecological conditions in the breeding areas of the Desert Locust. These sensors are specifically designed for vegetation monitoring, it became clear that it is difficult to detect the sparse vegetation in the desert – vegetation that appears to be dry to the satellite yet sufficiently green for Desert Locust survival and breeding.

The greenness maps are available every ten days. Analysis of individual channels provides an even more accurate estimation of ecological conditions in Desert Locust habitats. DLIS is looking into the possibility of using 20-metre resolution Sentinel-3.


Soil moisture estimates


DLIS collaborates with NASA and Lobelia to produce two products on an operational basis that estimate soil moisture that is required for successful egg-laying and hatching by Desert Locusts. The Lobelia product is the result of the SMELLS SM project that developed average soil moisture from daily estimates at 1 km spatial resolution during the most recent decade based on disaggregated SMOS soil moisture product. Typical surface soil moisture values are from 0.05-0.25 m3/m3 for Desert Locust monitoring.

 

 

Current research and progress 
 
FAO DLIS collaborates with a variety of universities and other partner institutes such as the Italian Institute of Biometeorology (IBIMET), the European Commission Joint Research Centre (JRC), Columbia University's International Research Institute for Climate and Society (IRI), NASA's World Wind Project, the Catholic University of Louvain (Belgium), and others in improving the application of remote sensing imagery for Desert Locust monitoring and forecasting. 






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See also
模型

(英文) 

估算蝗虫的发展速度、迁移、三维和最佳应对措施

地理信息系统

(英文) 

RAMSES 和 SWARMS 地理信息系统:管理和分析地理空间数据

紧急行动

(英文) 

EarthRanger:追踪空中勘测和防治行动

无人机

(英文) 

dLocust:用于测绘植被和探测蝗虫的长航时无人机

数字工具

(英文) 

eLocust3 套件:从实地到国家蝗虫防治中心的实时数据传输

气候预测

(英文) 
利用六个月降雨量和温度预测,预报蝗虫形势