Enhancing the uptake of earth observation products and services in Africa through a multi-level transdisciplinary approach

C Ifejika Speranza, FO Akinyemi, D Baratoux… - Surveys in …, 2023 - Springer
Africa stands to gain from Earth Observation (EO) science, products and applications.
However, its use and application remain below potential on the continent. This article …

Cropharvest: A global dataset for crop-type classification

G Tseng, I Zvonkov, CL Nakalembe… - Thirty-fifth Conference …, 2021 - openreview.net
Remote sensing datasets pose a number of interesting challenges to machine learning
researchers and practitioners, from domain shift (spatially, semantically and temporally) to …

Leveraging weather radars for desert locust monitoring

NA Anjita, J Indu - Remote Sensing Applications: Society and …, 2023 - Elsevier
Desert locusts are infamous for their ability to cause widespread devastation to crops and
agricultural lands. They have been known to cause significant economic losses in many …

[HTML][HTML] Predicting suitable breeding areas for different locust species–A multi-scale approach accounting for environmental conditions and current land cover …

I Klein, S van der Woude, F Schwarzenbacher… - International Journal of …, 2022 - Elsevier
In this study, we present a fused multi-scale approach to model habitat suitability index (HSI)
maps for three different locust species. The presented methodology was applied for the …

Dynamic forecast of desert locust presence using machine learning with a multivariate time lag sliding window technique

R Sun, W Huang, Y Dong, L Zhao, B Zhang, H Ma… - Remote Sensing, 2022 - mdpi.com
Desert locust plagues can easily cause a regional food crisis and thus affect social stability.
Preventive control of the disaster highlights the early detection of hopper gregarization …

Outbreak Mechanism of Locust Plagues under Dynamic Drought and Flood Environments Based on Time Series Remote Sensing Data: Implication for Identifying …

L Zhao, H Li, W Huang, Y Dong, Y Geng, H Ma… - Remote Sensing, 2023 - mdpi.com
Locust plagues inflict severe agricultural damage. Climate change-induced extreme events
like rainfall and droughts have expanded locust habitats. These new areas, often beyond …

[HTML][HTML] A Central Asia hydrologic monitoring dataset for food and water security applications in Afghanistan

A McNally, J Jacob, K Arsenault… - Earth System …, 2022 - essd.copernicus.org
Abstract From the Hindu Kush mountains to the Registan Desert, Afghanistan is a diverse
landscape where droughts, floods, conflict, and economic market accessibility pose …

Regional differences in control operations during the 2019–2021 desert locust upsurge

R Retkute, RGK Hinton, K Cressman, CA Gilligan - Agronomy, 2021 - mdpi.com
The desert locust remains a major threat to global food security. Control operations are a
crucial tool to manage crisis; this research investigated the nature of control operations …

Prediction of desert locust breeding areas using machine learning methods and SMOS (MIR_SMNRT2) Near Real Time product

D Gómez, P Salvador, J Sanz, JF Rodrigo, J Gil… - Journal of Arid …, 2021 - Elsevier
Despite satellite imagery is being used to identify suitable areas for desert locust, there is a
lack of automatized and operational procedures in Near Real Time (NRT). The aim of this …

An odorant receptor-derived peptide biosensor for monitoring the migratory locust Locusta migratoria by recognizing the aggregation pheromone 4-vinylanisole

W Ma, Z Wang, D Jiang, J Wei, J Yan, R Chen… - Sensors and Actuators B …, 2023 - Elsevier
The migratory locust, Locusta migratoria (L. migratoria), is one of the most damaging
agricultural pests worldwide. Currently, the monitoring of L. migratoria largely depends on …