Full-coverage mapping high-resolution atmospheric CO2 concentrations in China from 2015 to 2020: Spatiotemporal variations and coupled trends with particulate …
Understanding the spatiotemporal dynamics of atmospheric carbon dioxide (CO 2) is crucial
for achieving carbon neutrality and safeguarding planetary well-being. Satellite-based …
for achieving carbon neutrality and safeguarding planetary well-being. Satellite-based …
Monthly electricity consumption data at 1 km× 1 km grid for 280 cities in China from 2012 to 2019
High spatio-temporal resolution estimates of electricity consumption are essential for
formulating effective energy transition strategies. However, the data availability is limited by …
formulating effective energy transition strategies. However, the data availability is limited by …
Spatiotemporal Investigation of Near-Surface CO2 and Its Affecting Factors Over Asia
F Mustafa, L Bu, Q Wang, M Shahzaman… - … on Geoscience and …, 2022 - ieeexplore.ieee.org
In this work, we extracted the near-surface CO 2 concentration from the Greenhouse gases
Observing SATellite (GOSAT) and the National Oceanic and Atmospheric Administration …
Observing SATellite (GOSAT) and the National Oceanic and Atmospheric Administration …
A long-term global XCO2 dataset: Ensemble of satellite products
Many satellites such as SCIAMACHY (scanning imaging absorption spectrometer for
atmospheric cartography), GOSAT-1/2 (greenhouse gases observing satellite), OCO-2/3 …
atmospheric cartography), GOSAT-1/2 (greenhouse gases observing satellite), OCO-2/3 …
Research on lightweight disaster classification based on high-resolution remote sensing images
With the increasing frequency of natural disasters becoming, it is very important to classify
and identify disasters. We propose a lightweight disaster classification model, which has …
and identify disasters. We propose a lightweight disaster classification model, which has …
[HTML][HTML] Sentinel satellite data monitoring of air pollutants with interpolation methods in Guayaquil, Ecuador
D Mejía, H Alvarez, R Zalakeviciute… - Remote Sensing …, 2023 - Elsevier
In Ecuador, there is a limitation on air quality monitoring due to the cost of monitoring
networks. Although air quality monitoring stations are instruments for air measurement, they …
networks. Although air quality monitoring stations are instruments for air measurement, they …
Satellite-Based Reconstruction of Atmospheric CO2 Concentration over China Using a Hybrid CNN and Spatiotemporal Kriging Model
Y Hua, X Zhao, W Sun, Q Sun - Remote Sensing, 2024 - search.proquest.com
Although atmospheric CO 2 concentrations collected by satellites play a crucial role in
understanding global greenhouse gases, the sparse geographic distribution greatly affects …
understanding global greenhouse gases, the sparse geographic distribution greatly affects …
China's “coal-to-gas” policy had large impact on PM1. 0 distribution during 2016–2019
Particulate matter with an aerodynamic diameter of less than 1 μm (PM 1.0) can be
extremely hazardous to human health, so it is imperative to accurately estimate the spatial …
extremely hazardous to human health, so it is imperative to accurately estimate the spatial …
Correlation Analysis of CO2 Concentration Based on DMSP-OLS and NPP-VIIRS Integrated Data
C Zuo, W Gong, Z Gao, D Kong, R Wei, X Ma - Remote Sensing, 2022 - mdpi.com
In view of global warming, caused by the increase in the concentration of greenhouse
gases, China has proposed a series of carbon emission reduction policies. It is necessary to …
gases, China has proposed a series of carbon emission reduction policies. It is necessary to …
Sensing real-time water vapor over oceans with low-cost GNSS receivers
Water vapor over oceans is significant for numerical weather prediction (NWP) and climate
research. Ocean platform-based global navigation satellite system (GNSS) which can sense …
research. Ocean platform-based global navigation satellite system (GNSS) which can sense …