Deriving gapless CO2 concentrations using a geographically weighted neural network: China, 2014–2020

Author:

Zhang Lingfeng,Li Tongwen,Wu Jingan

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference58 articles.

1. Increase in observed net carbon dioxide uptake by land and oceans during the past 50 years;Ballantyne;Nature,2012

2. Spatial interpolation to predict missing attributes in GIS using semantic kriging;Bhattacharjee;IEEE Trans. Geosci. Remote Sens.,2013

3. On Accelerating the Green and Low-Carbon Transition for an Ecological Civilization with Chinese Characteristics;Chen;China Economist,2022

4. Remote sensing and social sensing data fusion for fine-resolution population mapping with a multimodel neural network;Cheng;IEEE J. Selected Top. Appl. Earth Observations Remote Sens.,2021

5. The on-orbit performance of the Orbiting Carbon Observatory-2 (OCO-2) instrument and its radiometrically calibrated products;Crisp;Atmos. Meas. Tech.,2017

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