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Integrating low-cost sensor monitoring, satellite mapping, and geospatial artificial intelligence for intra-urban air pollution predictions☆
Article describes how there is a growing need to apply geospatial artificial intelligence analysis to disparate environmental datasets to find solutions that benefit frontline communities. This research addresses these challenges by leveraging a strategically deployed, extensive low-cost sensor (LCS) network that was rigorously calibrated through an optimized neural network.
Date:
May 18, 2023
Creator:
Liang, Lu; Daniels, Jacob; Bailey, Colleen; Hu, Leiqiu; Phillips, Ronney & South, John
System:
The UNT Digital Library
Combined influence of soil moisture and atmospheric humidity on land surface temperature under different climatic background
Article describes how soil moisture (SM) and atmospheric humidity (AH) are crucial climatic variables that significantly affect the climate system. However, the combined influencing mechanisms of SM and AH on the land surface temperature (LST) under global warming are still unclear. The authors systematically analyzed the interrelationships among annual mean values of SM, AH, and LST using ERA5-Land reanalysis data and revealed the role of SM and AH on the spatiotemporal variations of LST through mechanism analysis and regression methods.
Date:
May 9, 2023
Creator:
Jiang, Kang; Pan, Zhihua; Pan, Feifei; Teuling, Adriaan J.; Han, Guolin; An, Pingli et al.
System:
The UNT Digital Library