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Comparison of GEMS v3.0 operational tropospheric NO2 columns with ground-based DOAS instruments in Ulsan

Name: Comparison of GEMS v3.0 operational tropospheric NO2 columns with ground-based DOAS instruments in Ulsan
Creator: Ulsan National Institute of Science and Technology
Published: 2025-01-01T00:00:00+08:00

Harvard Dataverse2025-01-01 更新2026-04-09 收录

大气污染遥感监测

卫星与地面观测数据对比

数据链接：

https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/TGKIZ6 数据链接链接失效反馈

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资源简介：

Data files and relevant codes for scientific analysis for the original research article.

应用场景：

提供机构：

Ulsan National Institute of Science and Technology

创建时间：

2025-01-01

气溶胶光学特性

大气污染遥感监测

This data set includes the spectral aerosol optical depth (AOT) measured in clear-sky conditions from Yulin, China with a handheld sun photometer at wavelengths of 380nm, 440nm, 500nm, 675nm, and 870n

DataCite Commons2025-10-05 更新120

High Spatiotemporal Resolution Estimation of Global Surface CO Concentrations Using a Deep Learning Model

大气污染遥感监测

深度学习环境反演

A high-performance Convolutional Neural Network (CNN)-based Residual Network (ResNet) was developed for estimating daily worldwide CO concentrations at a high spatial resolution of 0.07° from June 201

Zenodo2024-06-20 更新30

OMI LNO2/NO2 Column Amount and NO2 Trophospheric Column Satellite Imagery

大气污染遥感监测

二氧化氮浓度

This dataset contains Ozone Monitoring Instrument (OMI) LNO2/NO2 column amounts and NO2 tropospheric column satellite imagery. The imagery are in GIF format. This imagery was...

DASH Search20

Atmospheric Impacts of COVID-19 on NOx and VOC levels over China based on TROPOMI and IASI satellite data and modeling Atmosphere

大气污染遥感监测

疫情环境效应

China was the first country to undergo large-scale lockdowns in response to the pandemic in early 2020 and a progressive return to normalization after April 2020. Spaceborne observations of atmospheri

NOAA Institutional Repository2023-03-02 更新50

祁连山重点区域人类活动数据（2020）

生态治理监管

大气污染遥感监测

本数据集为2020年祁连山重点区域人类活动数据。以祁连山重点区域的矿山开采、违规房屋整改、新增道路、土地平整及生态修复等资料为基础，利用高分一号、高分二号、资源三号高分辨率遥感影像，对比统计前后变化地块。对祁连山重点区域地类发生变化的地块，逐块调查核实；对判图可疑的地块，重新判读验证；对影像无法反映的地类，实地核实地类，采集相关数据，核对并修正位置。同时进一步核对2020年祁连山重点区域矿山开采、

中国科技资源共享网2026-06-21 更新20

Comparison of GEMS v3.0 operational tropospheric NO2 columns with ground-based DOAS instruments in Ulsan

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