Remotely sensed thermal decay rate: An index for vegetation monitoring

Vista sencilla de ítem
dc.creatorKumar, S.S.
dc.creatorPrihodko, L.
dc.creatorLind, B.M.
dc.creatorAnchang, J.
dc.creatorJi, W.
dc.creatorRoss, C.W.
dc.creatorKahiu, Njoki
dc.creatorVelpuri, Naga Manohar
dc.creatorHanan, N.P.
dc.date2020-06-17
dc.date2020-12-31T10:53:09Z
dc.date2020-12-31T10:53:09Z
dc.date.accessioned2026-06-27T17:17:53Z
dc.descriptionVegetation buffers local diurnal land surface temperatures, however, this effect has found limited applications for remote vegetation characterization. In this work, we parameterize diurnal temperature variations as the thermal decay rate derived by using satellite daytime and nighttime land surface temperatures and modeled using Newton’s law of cooling. The relationship between the thermal decay rate and vegetation depends on many factors including vegetation type, size, water content, location, and local conditions. The theoretical relationships are elucidated, and empirical relationships are presented. Results show that the decay rate summarizes both vegetation structure and function and exhibits a high correlation with other established vegetation-related observations. As proof of concept, we interpret 15-year spatially explicit trends in the annual thermal decay rates over Africa and discuss results. Given recent increases in availability of finer spatial resolution satellite thermal measurements, the thermal decay rate may be a useful index for monitoring vegetation.
dc.identifierhttps://hdl.handle.net/10568/110672
dc.identifier.urihttp://hdl.handle.net/123456789/148099
dc.languageen
dc.publisherSpringer
dc.rightsOpen Access
dc.sourceKumar, S.S., Prihodko, L., Lind, B.M., Anchang, J., Ji, W., Ross, C.W., Kahiu, M.N., Velpuri, N.M. and Hanan, N.P. 2020. Remotely sensed thermal decay rate: An index for vegetation monitoring. Scientific Reports 10(1):9812.
dc.subjectvegetation
dc.subjectremote sensing
dc.subjectnatural resources management
dc.titleRemotely sensed thermal decay rate: An index for vegetation monitoring
dc.typeJournal Article

Archivos

Colecciones

Instituto Internacional de Investigaciones Pecuarias (ILRI)