Synthetic retrieval of hourly net ecosystem exchange using the neural network model with combined MI and GOCI geostationary sensor datasets and ground-based measurements-Reference-Cited by-同舟云学术

Synthetic retrieval of hourly net ecosystem exchange using the neural network model with combined MI and GOCI geostationary sensor datasets and ground-based measurements

Published:2017-09-13 Issue:23 Volume:38 Page:7441-7456
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Yeom Jong-Min¹,Deo Ravinesh²,Chun Junghwa³,Hong Jinkyu⁴,Kim Dong-Su⁵,Han Kyung-Soo⁶,Cho Jaeil⁷

Affiliation:

1. Cal/Val & Data Quality Control Team, National Satellite Operation & Application Center, Korea Aerospace Research Institute, Daejeon, Republic of Korea

2. School of Agricultural, Computational and Environmental Sciences, Institute of Agriculture and Environment, University of Southern Queensland, Australia

3. Department of Forest Conservation, National Institute of Forest Science, Daejeon, Republic of Korea

4. Department of Atmospheric Sciences, Yonsei University, Seoul, Republic of Korea

5. National Climate Data Center, Korea Meteorological Administration, Seogwipo, Republic of Korea

6. Department of Spatial Information Engineering, Pukyong National University, Busan, Republic of Korea

7. Department of Applied Plant Science, Chonnam National University, Gwangju, Republic of Korea

Funder

Korea Aerospace Research Institute

Korea Meteorological Administration

the Long-term Ecological Research under Changing Global Environment from National Institute of Forest Science

the Research and Development for KMA Weather, Climate, and Earth System Services

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2017.1375573

Reference40 articles.

1. Artificial neural networks based on principal component analysis, fuzzy systems and fuzzy neural networks for preliminary design of rubble mound breakwaters

2. Assessing the eddy covariance technique for evaluating carbon dioxide exchange rates of ecosystems: past, present and future

3. FLUXNET: A New Tool to Study the Temporal and Spatial Variability of Ecosystem–Scale Carbon Dioxide, Water Vapor, and Energy Flux Densities

4. Measuring Biosphere-Atmosphere Exchanges of Biologically Related Gases with Micrometeorological Methods

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