Machine learning based estimation of land productivity in the contiguous US using biophysical predictors

Machine learning based estimation of land productivity in the contiguous US using biophysical predictors

Estimation of land productivity and availability is necessary to predict land production potential, especially for the emerging bioenergy crop production, which may compete land with food crop production. This study provides land productivity estimates in the contiguous United States (CONUS) through...

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Bibliographic Details
Main Authors: Pan Yang, Qiankun Zhao, Ximing Cai
Format: Article
Language:English
Published: IOP Publishing 2020-01-01
Series:Environmental Research Letters
Subjects:
land productivity
marginal land
land use
machine learning
Online Access:https://doi.org/10.1088/1748-9326/ab865f

Internet

https://doi.org/10.1088/1748-9326/ab865f

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