Modeling time series of vegetation indices in tallgrass prairie using machine and deep learning algorithms

Modeling time series of vegetation indices in tallgrass prairie using machine and deep learning algorithms

The vegetation phenology of tallgrass prairie varies yearly, depending on climatic conditions, plant species composition, and location. Modeling time series of vegetation indices (VIs) using climate data can be useful for understanding and predicting how tallgrass prairie will respond to future clim...

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Bibliographic Details
Main Authors: Pradeep Wagle, Gopichandh Danala, Catherine Donner, Xiangming Xiao, Corey Moffet, Stacey A. Gunter, Wolfgang Jentner, David S. Ebert
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Ecological Informatics
Subjects:
Climate change
Enhanced vegetation index
eXtreme gradient boosting
Land surface water index
Random forest
Online Access:http://www.sciencedirect.com/science/article/pii/S157495412400459X
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