1 day ago · A new approach for surface urban heat island monitoring based on machine learning algorithm and spatiotemporal fusion model. IEEE Access, 8 (2020), pp ...
Jun 15, 2024 · Our research demonstrates that while our satellite image extraction methodology and the mutual information fusion model provide robust foundational tools, ...
Missing: Surface | Show results with:Surface
7 days ago · This trend necessitates a time series analysis based on the monitoring of impervious surfaces from 1986 to 2022. ... Downscaling Land Surface Temperature ...
Missing: Generation Robust
3 days ago · These gaps severely hamper its utility in large-scale meteorological and hydrological applications. To address these limitations, this study introduces an ...
Jun 9, 2024 · Finally, we evaluate current deep learning-based models for precipitation forecasting on a public benchmark, discuss their limitations and challenges, and ...
Missing: Land Surface
4 days ago · In this study, we considered vegetation memory and increased the amount of vegetation data by spatiotemporal fusion, integrated lagged vegetation index and ...
Missing: Efficient | Show results with:Efficient
Jun 14, 2024 · Sensor fusion is a crucial technique for achieving accurate precipitation nowcasting by combining observations from ground-based radars and satellites.
Missing: Land Surface
5 days ago · Predicting time series of vegetation leaf area index across North America based on climate variables for land surface modeling using attention-enhanced LSTM.
Missing: Inputs | Show results with:Inputs
4 days ago · To overcome this limitation, we propose a novel semi-supervised segmentation method that leverages mostly unlabeled images and a small set of labeled images in ...
Missing: Land | Show results with:Land
Jun 26, 2024 · Based on the proposed Auto-NDVIcb algorithm, an annual maximum NDVI dataset for all 14 coal bases in China from 2013 to 2022 was publicly released. This dataset ...
Missing: Expanding Efficient Robust