Crop-Type Classification for Long-Term Modeling: An Integrated Remote Sensing and Machine Learning Approach

Crop-Type Classification for Long-Term Modeling: An Integrated Remote Sensing and Machine Learning Approach

Long-term temporal and spatial information of crop type supports a wide range of applications including hydrological and climatological studies. In the U.S., yearly crop data layers (CDLs) are available starting in the early 2000s and have been developed using combined field information and sets of...

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Bibliographic Details
Main Authors: Henrique G. Momm, Racha ElKadiri, Wesley Porter
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Remote Sensing
Subjects:
crop-type classification
random forest
cropland data layer
agricultural watershed
Online Access:https://www.mdpi.com/2072-4292/12/3/449

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