Large-scale and high-resolution paddy rice intensity mapping using downscaling and phenology-based algorithms on Google Earth Engine-Reference-Cited by-同舟云学术

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Large-scale and high-resolution paddy rice intensity mapping using downscaling and phenology-based algorithms on Google Earth Engine

Published:2024-04 Issue: Volume:128 Page:103725
ISSN:1569-8432
Container-title:International Journal of Applied Earth Observation and Geoinformation
language:en
Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Meng Liangli^ORCID,Li Yunfei,Shen Ruoque^ORCID,Zheng Yi,Pan Baihong,Yuan Wenping,Li Jun,Zhuo Li

Publisher

Elsevier BV

Reference65 articles.

1. Quantifying land use/land cover change and its potential impact on rice production in the Northern Nile Delta;Bakr;Egypt. Remote Sensing Applications-Society and Environment,2019

2. Cold Damage Risk Assessment of Double Cropping Rice in Hunan, China;Cheng;Journal of Integrative Agriculture,2013

3. Long time-series NDVI reconstruction in cloud-prone regions via spatio-temporal tensor completion;Chu;Remote Sensing of Environment,2021

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A novel red-edge vegetable index for paddy rice mapping based on Sentinel-1/2 and GF-6 images;International Journal of Digital Earth;2024-09-02

2. Crop Mapping Based on Temporal and Spatial Sample Migrations: A Case Study Over Three Counties in Heilongjiang Province, Northeast China;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

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