Identification of Abandoned Jujube Fields Using Multi-Temporal High-Resolution Imagery and Machine Learning

Identification of Abandoned Jujube Fields Using Multi-Temporal High-Resolution Imagery and Machine Learning

The jujube industry plays a very important role in the agricultural industrial structure of Xinjiang, China. In recent years, the abandonment of jujube fields has gradually emerged. It is critical to inventory the abandoned land soon after it is generated to adjust agricultural production better and...

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Bibliographic Details
Main Authors: Xingrong Li, Chenghai Yang, Hongri Zhang, Panpan Wang, Jia Tang, Yanqin Tian, Qing Zhang
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Remote Sensing
Subjects:
abandoned jujube land
multi-temporal
high spatial resolution
Gaofen-1
Gaofen-6
Random Forest algorithm
Online Access:https://www.mdpi.com/2072-4292/13/4/801

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