Desert Locust Monitoring, Forecasting and Assessment in Africa and Southwest Asia, covering Ethiopia, Kenya, Somalia, Iran, Pakistan, Yemen, India, Nepal, Afghanistan and Saudi Arabia.
A research team RSCROP led by Prof. Huang Wenjiang and Assoc. Prof. Dong Yingying of the ‘Digital Earth Science Platform’ Project in CASEarth has tracked the migration path of the Desert Locust and make a detailed analysis on the possibility of the Desert Locust invasion of China. Integrated with multi-source Earth Observation data, e.g. meteorological data, field data, and remote sensing data (such as GF series in China, MODIS and Landsat series in US, Sentinel series in EU), and self-developed models and algorithms for Desert Locust monitoring and forecasting, the research team constructed the ‘Vegetation pests and diseases monitoring and forecasting system’, which could regularly release thematical maps and reports on Desert Locust.
The Desert Locust has ravaged the Horn of Africa and Southwest Asia, posing serious threats on agricultural production and food security of the inflicted regions. The Food and Agriculture Organization of the United Nations（FAO）has issued a worldwide Desert Locust warning, calling for joint efforts from multiple countries in prevention and control of the pest to ensure food security and regional stability.
Data creation: 2019-01-01
Supplemental Information:
No data value: -9999
Contact points:
Metadata Contact: Huang Wenjiang - Aerospace Information Research Institute - RSCROP, CASEARTH
Resource Contact: Dong Yingying - Aerospace Information Research Institute - RSCROP, CASEARTH
Resource constraints:
Creative Commons Attribution-NonCommercial-ShareAlike 3.0 IGO
Online resources:
Report & Data - Monitoring and Assessment of Desert Locust in Africa and Southwest Asia
Real-time evaluation of FAO’s response to desert locust upsurge 2020-2021 - Phase I - EXECUTIVE SUMMARY
This book focuses on remote sensing monitoring of desert locusts infestation. By integrating remote sensing science, geographic information science, agronomy, plant protection, agricultural meteorology, mathematics, computer, and other frontier technologies and methods, this book carries out remote sensing monitoring research on the occurrence and damage of desert locusts in Asia and Africa from 2019 to 2020 and establishes the locust spatial information system cloud platform. The main contents of this book include the analysis and processing of spatial-temporal big data, the monitoring of desert locusts’ breeding areas, the analysis of desert locusts' migration paths, the remote sensing monitoring of desert locusts’ damage, the construction and application of remote sensing monitoring system of the desert locust, etc.
