Matches in SemOpenAlex for { <https://semopenalex.org/work/W3042564790> ?p ?o ?g. }
- W3042564790 endingPage "111886" @default.
- W3042564790 startingPage "111886" @default.
- W3042564790 abstract "Abstract Droughts are a recurring hazard in sub-Saharan Africa, that can wreak huge socioeconomic costs. Acting early based on alerts provided by early warning systems (EWS) can potentially provide substantial mitigation, reducing the financial and human cost. However, existing EWS tend only to monitor current, rather than forecast future, environmental and socioeconomic indicators of drought, and hence are not always sufficiently timely to be effective in practice. Here we present a novel method for forecasting satellite-based indicators of vegetation condition. Specifically, we focused on the 3-month Vegetation Condition Index (VCI3M) over pastoral livelihood zones in Kenya, which is the indicator used by the Kenyan National Drought Management Authority (NDMA). Using data from MODIS and Landsat, we apply linear autoregression and Gaussian process modelling methods and demonstrate high forecasting skill several weeks ahead. As a bench mark we predicted the drought alert marker used by NDMA (VCI3M" @default.
- W3042564790 created "2020-07-23" @default.
- W3042564790 creator A5002595672 @default.
- W3042564790 creator A5005401003 @default.
- W3042564790 creator A5012720030 @default.
- W3042564790 creator A5020022759 @default.
- W3042564790 creator A5030763248 @default.
- W3042564790 creator A5040006647 @default.
- W3042564790 creator A5073633847 @default.
- W3042564790 date "2020-10-01" @default.
- W3042564790 modified "2023-10-01" @default.
- W3042564790 title "Forecasting vegetation condition for drought early warning systems in pastoral communities in Kenya" @default.
- W3042564790 cites W1130979043 @default.
- W3042564790 cites W1897589344 @default.
- W3042564790 cites W1989279348 @default.
- W3042564790 cites W1997862097 @default.
- W3042564790 cites W2001670712 @default.
- W3042564790 cites W2003987120 @default.
- W3042564790 cites W2011375988 @default.
- W3042564790 cites W2014927013 @default.
- W3042564790 cites W2032099379 @default.
- W3042564790 cites W2037597974 @default.
- W3042564790 cites W2067956280 @default.
- W3042564790 cites W2074624018 @default.
- W3042564790 cites W2079356622 @default.
- W3042564790 cites W2082819436 @default.
- W3042564790 cites W2104157175 @default.
- W3042564790 cites W2109606373 @default.
- W3042564790 cites W2118143306 @default.
- W3042564790 cites W2125594613 @default.
- W3042564790 cites W2155380844 @default.
- W3042564790 cites W2158803462 @default.
- W3042564790 cites W2162291057 @default.
- W3042564790 cites W2171932819 @default.
- W3042564790 cites W2198334748 @default.
- W3042564790 cites W2227280755 @default.
- W3042564790 cites W2293006232 @default.
- W3042564790 cites W2311556292 @default.
- W3042564790 cites W2413379912 @default.
- W3042564790 cites W2550227402 @default.
- W3042564790 cites W2564039347 @default.
- W3042564790 cites W2795052646 @default.
- W3042564790 cites W2897401543 @default.
- W3042564790 cites W2902803249 @default.
- W3042564790 cites W2915540904 @default.
- W3042564790 cites W2944705264 @default.
- W3042564790 cites W2982405828 @default.
- W3042564790 cites W648769287 @default.
- W3042564790 doi "https://doi.org/10.1016/j.rse.2020.111886" @default.
- W3042564790 hasPublicationYear "2020" @default.
- W3042564790 type Work @default.
- W3042564790 sameAs 3042564790 @default.
- W3042564790 citedByCount "24" @default.
- W3042564790 countsByYear W30425647902020 @default.
- W3042564790 countsByYear W30425647902021 @default.
- W3042564790 countsByYear W30425647902022 @default.
- W3042564790 countsByYear W30425647902023 @default.
- W3042564790 crossrefType "journal-article" @default.
- W3042564790 hasAuthorship W3042564790A5002595672 @default.
- W3042564790 hasAuthorship W3042564790A5005401003 @default.
- W3042564790 hasAuthorship W3042564790A5012720030 @default.
- W3042564790 hasAuthorship W3042564790A5020022759 @default.
- W3042564790 hasAuthorship W3042564790A5030763248 @default.
- W3042564790 hasAuthorship W3042564790A5040006647 @default.
- W3042564790 hasAuthorship W3042564790A5073633847 @default.
- W3042564790 hasBestOaLocation W30425647902 @default.
- W3042564790 hasConcept C107826830 @default.
- W3042564790 hasConcept C142724271 @default.
- W3042564790 hasConcept C205649164 @default.
- W3042564790 hasConcept C2776133958 @default.
- W3042564790 hasConcept C2779296788 @default.
- W3042564790 hasConcept C29825287 @default.
- W3042564790 hasConcept C39432304 @default.
- W3042564790 hasConcept C41008148 @default.
- W3042564790 hasConcept C54286561 @default.
- W3042564790 hasConcept C62649853 @default.
- W3042564790 hasConcept C71924100 @default.
- W3042564790 hasConcept C76155785 @default.
- W3042564790 hasConceptScore W3042564790C107826830 @default.
- W3042564790 hasConceptScore W3042564790C142724271 @default.
- W3042564790 hasConceptScore W3042564790C205649164 @default.
- W3042564790 hasConceptScore W3042564790C2776133958 @default.
- W3042564790 hasConceptScore W3042564790C2779296788 @default.
- W3042564790 hasConceptScore W3042564790C29825287 @default.
- W3042564790 hasConceptScore W3042564790C39432304 @default.
- W3042564790 hasConceptScore W3042564790C41008148 @default.
- W3042564790 hasConceptScore W3042564790C54286561 @default.
- W3042564790 hasConceptScore W3042564790C62649853 @default.
- W3042564790 hasConceptScore W3042564790C71924100 @default.
- W3042564790 hasConceptScore W3042564790C76155785 @default.
- W3042564790 hasFunder F4320334631 @default.
- W3042564790 hasFunder F4320334632 @default.
- W3042564790 hasLocation W30425647901 @default.
- W3042564790 hasLocation W30425647902 @default.
- W3042564790 hasLocation W30425647903 @default.
- W3042564790 hasOpenAccess W3042564790 @default.
- W3042564790 hasPrimaryLocation W30425647901 @default.
- W3042564790 hasRelatedWork W1696608690 @default.