Multi-source spatial data-based invasion risk modeling of Striga (Striga asiatica) in Zimbabwe

Multi-source spatial data-based invasion risk modeling of Striga (Striga asiatica) in Zimbabwe

Monitoring of destructive invasive weeds such as those from the genus Striga requires accurate, near real-time predictions and integrated assessment techniques to enable better surveillance and consistent assessment initiatives. Thus, in this study, we predicted the potential ecological niche of Str...

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Bibliographic Details
Main Authors: Bester Tawona Mudereri, Elfatih Mohamed Abdel-Rahman, Timothy Dube, Tobias Landmann, Zeyaur Khan, Emily Kimathi, Rachel Owino, Saliou Niassy
Format: Article
Language:English
Published: Taylor & Francis Group 2020-05-01
Series:GIScience & Remote Sensing
Subjects:
climate variability
food security
machine learning
niche modeling
remote sensing
sub-saharan africa
striga weeds
Online Access:http://dx.doi.org/10.1080/15481603.2020.1744250

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