Limited-Samples-Based Crop Classification Using a Time-Weighted Dynamic Time Warping Method, Sentinel-1 Imagery, and Google Earth Engine

Limited-Samples-Based Crop Classification Using a Time-Weighted Dynamic Time Warping Method, Sentinel-1 Imagery, and Google Earth Engine

Reliable crop type classification supports the scientific basis for food security and sustainable agricultural development. However, it still lacks a limited-samples-based crop classification method which is labor- and time-efficient. To this end, we used the Google Earth Engine (GEE) and Sentinel-1...

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Bibliographic Details
Main Authors: Xingyuan Xiao, Linlong Jiang, Yaqun Liu, Guozhen Ren
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Remote Sensing
Subjects:
Sentinel-1 SAR time series
sampling strategy
time-weighted dynamic time warping
simple non-iterative clustering
Google Earth Engine
object-based crop classification
Online Access:https://www.mdpi.com/2072-4292/15/4/1112

Internet

https://www.mdpi.com/2072-4292/15/4/1112

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