Winter wheat mapping using a random forest classifier combined with multi-temporal and multi-sensor data

Winter wheat mapping using a random forest classifier combined with multi-temporal and multi-sensor data

Wheat is a major staple food crop in China. Accurate and cost-effective wheat mapping is exceedingly critical for food production management, food security warnings, and food trade policy-making in China. To reduce confusion between wheat and non-wheat crops for accurate growth stage wheat mapping,...

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Bibliographic Details
Main Authors: Jiantao Liu, Quanlong Feng, Jianhua Gong, Jieping Zhou, Jianming Liang, Yi Li
Format: Article
Language:English
Published: Taylor & Francis Group 2018-08-01
Series:International Journal of Digital Earth
Subjects:
winter wheat
random forest
phenology
landsat-8
gf-1
Online Access:http://dx.doi.org/10.1080/17538947.2017.1356388

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