Mapping Ratoon Rice Planting Area in Central China Using Sentinel-2 Time Stacks and the Phenology-Based Algorithm
Mapping rice cropping systems is important for grain yield prediction and food security assessments. Both single- and double-season rice are the dominant rice systems in central China. However, because of increasing labor shortages and high costs, there has been a gradual decline in double-season ri...
Main Authors: | Shishi Liu, Yuren Chen, Yintao Ma, Xiaoxuan Kong, Xinyu Zhang, Dongying Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-10-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/12/20/3400 |
Similar Items
-
A phenology-based vegetation index for improving ratoon rice mapping using harmonized Landsat and Sentinel-2 data
by: Yunping Chen, et al.
Published: (2024-04-01) -
An Automatic Method for Rice Mapping Based on Phenological Features with Sentinel-1 Time-Series Images
by: Guixiang Tian, et al.
Published: (2023-05-01) -
Delineation of Orchard, Vineyard, and Olive Trees Based on Phenology Metrics Derived from Time Series of Sentinel-2
by: Mukhtar Adamu Abubakar, et al.
Published: (2023-05-01) -
Evaluating Effects of Medium-Resolution Optical Data Availability on Phenology-Based Rice Mapping in China
by: Ruoqi Liu, et al.
Published: (2022-06-01) -
Detecting Phenological Development of Winter Wheat and Winter Barley Using Time Series of Sentinel-1 and Sentinel-2
by: Katharina Harfenmeister, et al.
Published: (2021-12-01)