Desert locust monitoring in Africa and Asia from 2018 to 2023 (DLMonitor_AfricaAsia_500m_2018-2023)

Dataset Overview

Desert locust monitoring in Africa and Asia from 2018 to 2023 (DLMonitor_AfricaAsia_500m_2018-2023). The data products include the affected areas by the desert locust in East Africa, West Asia, and South Asia.

Spatial Resolution:

Time Resolution:

Product Number: XDA19090201_015

Create Institution: ext_enOrganizationName

Created By: Yingying Dong;Wenjiang Huang

Creation Date: 2024-09-27 10:12:22

File Size: 1

Data Format: Tiff; kml

Type Of Data: grid;

Data Label:

Naming Convention

This product uses the WGS84 coordinate system with latitude and longitude projection (EPSG: 4326). Data are stored in GeoTIFF format, where the value "1" represents desert locust damage. The monitoring and prediction products for breeding areas and migration paths are in KML format.

Paper Citation

Yingying Dong, Longlong Zhao, Wenjiang Huang. 2023. Monitoring of Desert Locust in Asia and Africa. Science Press, Springer, Beijing. ISBN: 978-981-19-7238-6. https://doi.org/10.1007/978-981-19-7238-6.
Ruiqi Sun, Wenjiang Huang, Yingying Dong, et al. 2022. Dynamic Forecast of Desert Locust Presence Using Machine Learning with a Multivariate Time Lag Sliding Window Technique. Remote Sensing, 14(3): 747-767. https://doi.org/10.3390/rs14030747.

Data Citation

Yingying Dong, Wenjiang Huang. Desert locust monitoring in Asia and Africa from 2018 to 2023 (DLMonitor_AfricaAsia_500m_2018-2023), Beijing: International Research Center of Big Data for Sustainable Development Goals (CBAS), 2023. DOl:10.12237/casearth.64e093a4819a
ec27a589e856. 

Data Licence Agreement

Users of this data product shall clearly indicate the source and the authors of "Desert locust monitoring in Asia and Africa from 2018 to 2023 (DLMonitor_AfricaAsia_500m_2018-2023)" in all forms of their research output (including, but not limited to, published and unpublished papers/reports, theses, monographs, data products, and other academic output) generated by using this data product, and shall cite the corresponding references. The data producers shall not be liable for any loss arising from the use of this data product. The boundaries and masks used in the maps do not represent an official opinion or endorsement by the data producers.