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Big Earth Data Volume 7, 2023 - Issue 3: Emerging trends in big Earth data management and analysis
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Data Article

The first high spatial resolution multi-scale daily SPI and SPEI raster dataset for drought monitoring and evaluating over China from 1979 to 2018Open Data

Rongrong Zhanga Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion and Disaster Protection/College of Environmental & Safety Engineering, Fuzhou University, Fuzhou, ChinaORCID Iconhttps://orcid.org/0000-0002-1089-1869View further author information
ORCID Icon,
Virgílio A. Bentob Instituto Dom Luiz, Faculdade de Ciências, Universidade de Lisboa, Lisboa, PortugalView further author information
,
Junyu Qic Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USAView further author information
,
Feng Xua Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion and Disaster Protection/College of Environmental & Safety Engineering, Fuzhou University, Fuzhou, ChinaView further author information
,
Jianjun Wud State Key Laboratory of Earth Surface Processes and Resource Ecology/Faculty of Geographical Science, Beijing Normal University, Beijing, ChinaView further author information
,
Jianxiu Qiue Guangdong Provincial Key Laboratory of Urbanization and Geo-simulation, School of Geography and Planning, Sun Yat-sen University, Guangzhou, ChinaView further author information
,
Jianwei Lif College of Physics and Information Engineering, Fuzhou University, Fuzhou, ChinaView further author information
,
Wei Shuia Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion and Disaster Protection/College of Environmental & Safety Engineering, Fuzhou University, Fuzhou, China;g Key Lab of Spatial Data Mining & Information Sharing, Ministry of Education of China, Fuzhou, ChinaView further author information
&
Qianfeng Wanga Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion and Disaster Protection/College of Environmental & Safety Engineering, Fuzhou University, Fuzhou, China;g Key Lab of Spatial Data Mining & Information Sharing, Ministry of Education of China, Fuzhou, ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-8460-6821View further author information
ORCID Icon show all
Pages 860-885 | Received 13 May 2022, Accepted 03 Nov 2022, Published online: 03 Jan 2023

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