Mapping Paddy Rice Using a Convolutional Neural Network (CNN) with Landsat 8 Datasets in the Dongting Lake Area, China

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成果类型：

期刊论文

作者：

Zhang, Meng*;Lin, Hui*;Wang, Guangxing;Sun, Hua;Fu, Jing

通讯作者：

Zhang, Meng;Lin, Hui

作者机构：

[Wang, Guangxing; Zhang, Meng; Lin, Hui; Sun, Hua] Cent South Univ Forestry & Technol, Res Ctr Forest Remote Sensing & Informat Engn, Changsha 410004, Hunan, Peoples R China.

[Wang, Guangxing; Zhang, Meng; Lin, Hui; Sun, Hua] Key Lab Forestry Remote Sensing Based Big Data &, Changsha 410004, Hunan, Peoples R China.

[Wang, Guangxing; Zhang, Meng; Lin, Hui; Sun, Hua] Key Lab State Forestry Adm Forest Resources Manag, Changsha 410004, Hunan, Peoples R China.

[Wang, Guangxing] Southern Illinois Univ, Dept Geog & Environm Resources, Carbondale, IL 62901 USA.

[Fu, Jing] Cooperat Innovat Ctr Digitalizat Cultural Heritag, Hengyang 421002, Peoples R China.

通讯机构：

[Zhang, M; Lin, H] C

[Zhang, M; Lin, H] K

Cent South Univ Forestry & Technol, Res Ctr Forest Remote Sensing & Informat Engn, Changsha 410004, Hunan, Peoples R China.

Key Lab Forestry Remote Sensing Based Big Data &, Changsha 410004, Hunan, Peoples R China.

Key Lab State Forestry Adm Forest Resources Manag, Changsha 410004, Hunan, Peoples R China.

语种：

英文

关键词：

rice;phenology;land-surface temperature;fusion model;convolutional neural network

期刊：

Remote Sensing

ISSN：

2072-4292

年：

2018

卷：

期：

页码：

1840-

DOI：

10.3390/rs10111840

基金类别：

Twelfth Five-Year Plan Pioneering project of the High Technology Plan of the National Department of Science and Technology [2012AA102001]; National Science and Technology Major Projects of China [21-Y30B05-9001-12/15-2]; Scientific Research Fund of Hunan Provincial Education DepartmentHunan Provincial Education Department [17A225]

机构署名：

本校为第一且通讯机构

院系归属：

林学院

摘要：

Rice is one of the world’s major staple foods, especially in China. Highly accurate monitoring on rice-producing land is, therefore, crucial for assessing food supplies and productivity. Recently, the deep-learning convolutional neural network (CNN) has achieved considerable success in remote-sensing data analysis. A CNN-based paddy-rice mapping method using the multitemporal Landsat 8, phenology data, and land-surface temperature (LST) was developed during this study. First, the spatial–temporal adaptive reflectance fusion model (STARFM) was...

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Mapping Paddy Rice Using a Convolutional Neural Network (CNN) with Landsat 8 Datasets in the Dongting Lake Area, China

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