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5
Datasets
125
Data Files
6
Related Research Articles
Research Datasets
Explore our carefully curated environmental data resources covering various research fields such as urban climate and surface characteristics, along with research results based on these data
Global Nighttime Light Dataset
The dataset contains:
(1) Temporally calibrated DMSP-OLS NTL time series data from 1992-2013;
(2) Converted NTL time series from the VIIRS data (2014-2018).
1km
DMSP
VIIRS
1992-2024
Data Specification
Data Files: 34
Data Volume: 1.02GB
Last Updated: 2025-08
Related Research Articles
Li Xuecao, Zhou Yuyu, Zhao Min, & Zhao Xia. (2020). A harmonized global nighttime light dataset 1992–2018. Scientific Data, 7, 168. https://doi.org/10.1038/s41597-020-0510-y
Li Xuecao, Zhou Yuyu. A stepwise calibration of global DMSP/OLS stable nighttime light data (1992–2013)[J]. Remote Sensing, 2017, 9(6): 637. DOI: 10.3390/rs9060637.
Near-surface Air Temperature Dataset
This gridded 1 km resolution global (50°S ~79°N) daily maximum and minimum near-surface air temperature dataset (2003 – 2020) was generated using a seamless 1 km resolution land surface temperature dataset (2003 – 2020), a 30-arc second (~1 km) resolution digital elevation model (DEM) data, and air temperature observations at weather stations and a spatially varying coefficient model with sign preservation (SVCM-SP) algorithm. The gridded air temperature dataset is of great use in global studies of urban, climate, and hydrology.
1km
Daily
Global
2003-2020
Data Specification
Data Files: 18
Data Volume: ** GB
Last Updated: 2022-07
Related Research Articles
Zhang Tao, Zhou Yuyu, Zhao Kaiguang, Zhu Zhengyuan, Chen Gang, Hu Jia, & Wang Li. (2022). A global dataset of daily maximum and minimum near-surface air temperature at 1 km resolution over land (2003–2020). Earth System Science Data, 14(12), 5637–5649. https://essd.copernicus.org/articles/14/5637/2022
Land Surface Temperature Dataset
This seamless LST dataset was generated from products of the National Aeronautics and Space Administration (NASA) Earth Observing System Terra and Aqua satellites (MOD11A1 and MYD11A1). The products are the Moderate-resolution Imaging Spectroradiometer (MODIS) 1 km resolution daily LST product Version 6.
The original data include missing pixels due to factors such as cloud and shadow. We proposed a novel algorithm by using the spatiotemporal information of the original land surface temperature data to fill the missing pixels.
1km
Daytime
Global
2003-2020
Data Specification
Data Files: 36
Data Volume: ** GB
Last Updated: 2022-02
Related Research Articles
Zhang Tao, Zhou Yuyu, Zhu Zhengyuan, Li Xiaoma, & Asrar Ghassem R. (2022). A global seamless 1 km resolution daily land surface temperature dataset (2003–2020). Earth System Science Data, 14(12), 651–664. https://doi.org/10.5194/essd-14-651-2022
Global Annual Urban Extents
This product provides the global annual urban extents (1992-2020) using the harmonized nighttime light observations, including :
(1) Global time-series urban sequence map from 1992 to 2020 (i.e., "sQ_urbanMap_global_stackTS.tif")
(2) Global annual urban extent maps from 1992 to 2020 (e.g., "annual_urbanMap_global_1992.tif", "annual_urbanMap_global_1993.tif")
30 m
Landsat
Global
1992-2020
Data Specification
Data Files: 30
Data Volume: 341.61 MB
Last Updated: 2021-09
Related Research Articles
Zhao Min, Cheng Changxiu, Zhou Yuyu, Li Xuecao, Shen Shi, and Song Changqing. 2022. A global dataset of annual urban extents (1992 to 2020) from harmonized nighttime lights. Earth System Science Data, 14, 517 to 534. https://doi.org/10.5194/essd-14-517-2022
Global Urban Boundaries
This dataset provides global urban boundaries at 30 m resolution for seven periods from 1990 to 2018. A consistent automated framework enhances urban fringe detail, enabling long-term assessment of urban expansion and supporting research on sustainability and environmental change.
30 m
GAIA
Global
1990–2018
Data Specification
Data Files: 7
Data Volume: 660.3 MB
Last Updated: 2020-08
Related Research Articles
Li Xuecao, Gong Peng, Zhou Yuyu, Wang Jie, Bai Yuqi, Chen Bin, Hu Tengyun, Xiao Yixiong, Xu Bing, & Yang Jun. (2020). Mapping global urban boundaries from the global artificial impervious area GAIA data. Environmental Research Letters, 15(9), 094044.
https://doi.org/10.1088/1748-9326/ab9be3
https://iopscience.iop.org/article/10.1088/1748-9326/ab9be3/meta
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