官方服务：
资源简介：
Data for spatiotemporal data fusion model named mcSTARFM.
应用场景：
提供机构：
Gao, Huan创建时间：
2022-12-06
相关数据集
Optimal Rain Gauge Network Design Aided by Multi-source Satellite Precipitation Observation
Optimized rain gauge networks minimize their input and maintenance costs, ensure the overall accuracy of precipitation data. Although information entropy-based methods of optimizing rain gauge network
Figshare2022-07-28 更新30
MWOW 6-Hourly High Resolution Global Ocean Wind with Expanded Platform Inputs Level 3 Version 0.1
This data set contains 6-hourly, global gridded wind speed and direction at 1/64th degree horizontal resolution from the MWOW (Multi-sensor Worldwide Ocean Winds) Project. It is a harmonized wind prod
Global Change Master Directory (GCMD)30
Global Daily Surface Soil Moisture Data from 2015-2020 generated by Multi-Collocation Fusion and Spatiotemporal Deep Learning
We used multiple collocation analysis and least-squares linear weighted averaging to combine soil moisture estimates from SMAP, AMSR2, ASCAT, and SMOS microwave missions and GLDAS, MERRA2, and ERA5-La
DataCite Commons2025-11-15 更新20
Kapiti land surface temperature ground validation data
This is the land surface temperature (LST) ground validation data collected at ILRI Kapiti Research Ranch Kenya. The useable data series is from October 2018 to March 2019. The data stored here are t
NIAID Data Ecosystem30
Long-Term Global Satellite Soil Moisture from Maximized Temporal Correlations (1998-2015)
A long-term merged satellite soil moisture product spanning 1998 to 2015. An existing combination approach that maximizes temporal correlations is used to combine six passive microwave satellite soil
Zenodo2020-07-10 更新30
