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Estimation of Vegetation Productivity Using a Landsat 8 Time Series in a Heavily Urbanized Area, Central China

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成果类型:
期刊论文
作者:
Zhang, Meng*;Lin, Hui*;Wang, Guangxing;Sun, Hua;Cai, Yaotong
通讯作者:
Zhang, Meng;Lin, Hui
作者机构:
[Zhang, Meng; Lin, Hui; Wang, Guangxing; Sun, Hua; Cai, Yaotong] Cent South Univ Forestry & Technol, Res Ctr Forest Remote Sensing & Informat Engn, Changsha 410004, Hunan, Peoples R China.
[Zhang, Meng; Lin, Hui; Wang, Guangxing; Sun, Hua; Cai, Yaotong] Key Lab Forestry Remote Sensing Based Big Data &, Changsha 410004, Hunan, Peoples R China.
[Zhang, Meng; Lin, Hui; Wang, Guangxing; Sun, Hua; Cai, Yaotong] 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.
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:
CASA;Fusion model;High spatio-temporal;NDVI;NPP
期刊:
Remote Sensing
ISSN:
2072-4292
年:
2019
卷:
11
期:
2
页码:
133
基金类别:
Twelfth Five-Year Plan Pioneering project of the High Technology Plan of the National Department of Science and Technology [2012AA102001]; 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:
Estimating the net primary production (NPP) of vegetation is essential for eco-environment conservation and carbon cycle research. Remote sensing techniques, combined with algorithm models, have been proven to be promising methods for NPP estimation. High-precision and real-time NPP monitoring in heterogeneous areas requires high spatio-temporal resolution remote sensing data, which are not easy to acquire by single remote sensors, especially in cloudy weather. This study proposes to fuse images of different sensors to provide high spatio-tempo...

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