The document describes the Desert Locust Global Early Warning System which uses Rv4 GIS software and SWARMS GIS to collect and analyze locust survey and control data from over 50 countries. The system provides monthly bulletins, 6-week forecasts, updates, warnings and alerts. It utilizes data on rainfall, greenness, precipitation anomalies, temperature anomalies and soil moisture from various sources. Models in the eLocust3 platform analyze the data to generate 15-day swarm trajectory forecasts and weekly swarm dispersal forecasts. Over 400 teams monitor locust activities during recessions and over 2000 teams respond during invasions.

1. 1988
1954
RAMSES v4.1 GIS SWARMS GIS
data management & analysis
by national locust info officer
(Rv4 GIS)
monthly bulletins & 6-week forecasts
updates, warnings, alerts
(Locust Watch & Hub; social media)
frontline: 400 teams
invasion: 2000+ teams
frontline: 20 countries
invasion: 25+ countries
50 countries countries, donors, UN, researchers, public
Data
Tools
Geo
Rainfall 0.25 square degree
(daily, decadal, monthly) Dynamic greenness 250 m
(decadal)
2-week precip & temp anomaly
6-month precip & temp anomaly
(biweekly, monthly)
eLocust3
MODELS
EO
survey & control data
by field officers
(eL3)
Swarm trajectory
(±15 days)
Swarm dispersal
(weekly)
Soil moisture
(decadal)
LOCUST HUB
LOCUST WATCH
DESERT LOCUST Global Early Warning System
situation assessment, analysis & forecasting
by FAO DLIS
(SWARMS GIS)