Detection of paddy rice cropping systems in southern China with time series Landsat images and phenology-based algorithms-Reference-Cited by-同舟云学术

Detection of paddy rice cropping systems in southern China with time series Landsat images and phenology-based algorithms

Published:2021-07-04 Issue:5 Volume:58 Page:733-755
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

Zhu Lihong¹,Liu Xiangnan¹,Wu Ling¹,Liu Meiling¹,Lin Ying¹,Meng Yuanyuan²,Ye Lu¹,Zhang Qian¹,Li Yiman¹

Affiliation:

1. School of Information Engineering, China University of Geosciences Beijing, Beijing China

2. Department of Ecology, College of Urban and Environmental Sciences, the Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing，China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2021.1943214

Reference63 articles.

1. Land cover and land use classification performance of machine learning algorithms in a boreal landscape using Sentinel-2 data

2. Comparative Analysis of Normalised Difference Spectral Indices Derived from MODIS for Detecting Surface Water in Flooded Rice Cropping Systems

3. Mapping paddy rice using Landsat time series data in the Ganfu Plain irrigation system, Southern China, from 1988−2017

4. Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors

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