Improving Parcel-Level Mapping of Smallholder Crops from VHSR Imagery: An Ensemble Machine-Learning-Based Framework

Improving Parcel-Level Mapping of Smallholder Crops from VHSR Imagery: An Ensemble Machine-Learning-Based Framework

Explicit spatial information about crop types on smallholder farms is important for the development of local precision agriculture. However, due to highly fragmented and heterogeneous cropland landscapes, fine-scale mapping of smallholder crops, based on low- and medium-resolution satellite images a...

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Bibliographic Details
Main Authors: Peng Zhang, Shougeng Hu, Weidong Li, Chuanrong Zhang, Peikun Cheng
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Remote Sensing
Subjects:
crop classification
smallholder farms
land parcel
geographic object-based image analysis (GEOBIA)
machine learning
stacking
Online Access:https://www.mdpi.com/2072-4292/13/11/2146

Internet

https://www.mdpi.com/2072-4292/13/11/2146

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