Automatic Rice Early-Season Mapping Based on Simple Non-Iterative Clustering and Multi-Source Remote Sensing Images

Automatic Rice Early-Season Mapping Based on Simple Non-Iterative Clustering and Multi-Source Remote Sensing Images

Timely and accurate rice spatial distribution maps play a vital role in food security and social stability. Early-season rice mapping is of great significance for yield estimation, crop insurance, and national food policymaking. Taking Tongjiang City in Heilongjiang Province with strong spatial hete...

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Bibliographic Details
Main Authors: Gengze Wang, Di Meng, Riqiang Chen, Guijun Yang, Laigang Wang, Hailiang Jin, Xiaosan Ge, Haikuan Feng
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Remote Sensing
Subjects:
early-season rice mapping
spectral index (SI)
synthetic aperture radar (SAR)
Simple Non-Iterative Clustering (SNIC)
time series filtering
K-Means
Online Access:https://www.mdpi.com/2072-4292/16/2/277

Internet

https://www.mdpi.com/2072-4292/16/2/277

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