Comparisons between temporal statistical metrics, time series stacks and phenological features derived from NASA Harmonized Landsat Sentinel-2 data for crop type mapping-Reference-Cited by-同舟云学术

Comparisons between temporal statistical metrics, time series stacks and phenological features derived from NASA Harmonized Landsat Sentinel-2 data for crop type mapping

Published:2023-08 Issue: Volume:211 Page:108015
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Liu Xiaomi,Xie Shuai,Yang Jiangning,Sun Lin,Liu Liangyun,Zhang Qing,Yang Chenghai

Funder

National Natural Science Foundation of China

Agricultural Research Service

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference37 articles.

1. Landsat-based classification in the cloud: An opportunity for a paradigm shift in land cover monitoring;Azzari;Remote Sens. Environ.,2017

2. Mapping of crop types and crop sequences with combined time series of Sentinel-1, Sentinel-2 and Landsat 8 data for Germany;Blickensdörfer;Remote Sens. Environ.,2022

3. Continental-scale land surface phenology from harmonized Landsat 8 and Sentinel-2 imagery;Bolton;Remote Sens. Environ.,2020

4. Monitoring US agriculture: the US department of agriculture, national agricultural statistics service, cropland data layer program;Boryan;Geocarto Int.,2011

5. Random forests;Breiman;Mach. Learn.,2001

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. Mangrove species mapping in coastal China using synthesized Sentinel-2 high-separability images;Remote Sensing of Environment;2024-06

2. A Parallel-Cascaded Ensemble of Machine Learning Models for Crop Type Classification in Google Earth Engine Using Multi-Temporal Sentinel-1/2 and Landsat-8/9 Remote Sensing Data;Remote Sensing;2023-12-28