Tracking the magnitude of climate change and variability with remote sensing data to improve targeting of climate smart agricultural technologies
Quantifying the magnitude and significance of climate change variables over space and time in Africa is challenging due to sparse distribution of weather stations and poor quality of existing data. Time series climate data generated from remote sensing platforms could provide plausible alternative f...
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| Format: | Conference Paper |
| Language: | Inglés |
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Institute of Electrical and Electronics Engineers
2019
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| Online Access: | https://hdl.handle.net/10568/105453 |
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