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White, Jenelle, Berg, Aaron A., Champagne, Catherine, Zhang, Yinsuo, Chipanshi, Aston, Daneshfar, Bahram (2020) Improving crop yield forecasts with satellite-based soil moisture estimates: An example for township level canola yield forecasts over the Canadian Prairies. International Journal of Applied Earth Observation and Geoinformation, 89. 102092pp. doi:10.1016/j.jag.2020.102092

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Reference TypeJournal (article/letter/editorial)
TitleImproving crop yield forecasts with satellite-based soil moisture estimates: An example for township level canola yield forecasts over the Canadian Prairies
JournalInternational Journal of Applied Earth Observation and Geoinformation
AuthorsWhite, JenelleAuthor
Berg, Aaron A.Author
Champagne, CatherineAuthor
Zhang, YinsuoAuthor
Chipanshi, AstonAuthor
Daneshfar, BahramAuthor
Year2020 (July)Volume89
PublisherElsevier BV
DOIdoi:10.1016/j.jag.2020.102092Search in ResearchGate
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Mindat Ref. ID7691856Long-form Identifiermindat:1:5:7691856:8
GUID0
Full ReferenceWhite, Jenelle, Berg, Aaron A., Champagne, Catherine, Zhang, Yinsuo, Chipanshi, Aston, Daneshfar, Bahram (2020) Improving crop yield forecasts with satellite-based soil moisture estimates: An example for township level canola yield forecasts over the Canadian Prairies. International Journal of Applied Earth Observation and Geoinformation, 89. 102092pp. doi:10.1016/j.jag.2020.102092
Plain TextWhite, Jenelle, Berg, Aaron A., Champagne, Catherine, Zhang, Yinsuo, Chipanshi, Aston, Daneshfar, Bahram (2020) Improving crop yield forecasts with satellite-based soil moisture estimates: An example for township level canola yield forecasts over the Canadian Prairies. International Journal of Applied Earth Observation and Geoinformation, 89. 102092pp. doi:10.1016/j.jag.2020.102092
In(2020) International Journal of Applied Earth Observation and Geoinformation Vol. 89. Elsevier BV

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