Dec 19, 2005 · This paper presents a computer-aided cloud-analysis approach by effectively modeling the integration of heterogeneous satellite-observed ...
Abstract—This paper presents a computer-aided cloud-analysis approach by effectively modeling the integration of heteroge- neous satellite-observed data and ...
This paper presents a computer-aided cloud-analysis approach by effectively modeling the integration of heterogeneous satellite-observed data and remote ...
This study focuses on cloud-based large-scale flood data mapping. The research combines geographic information with advanced data processing techniques.
The Spatial Heterogeneity of Cloud Phase Observed by Satellite
agupubs.onlinelibrary.wiley.com › full
Jan 30, 2024 · We conduct a global assessment of the spatial heterogeneity of cloud phase within the temperature range where liquid and ice can coexist.
This repository provides an exhaustive overview of deep learning techniques specifically tailored for satellite and aerial image processing.
May 31, 2024 · Our results indicate that our analytical model is effective in accurately estimating the performance of the heterogeneous data center.
Jun 15, 2024 · We introduce SatelliteBench, a scalable framework for satellite image extraction and vector embeddings generation. We also propose a novel multimodal fusion ...
Aug 16, 2023 · Abstract. Satellite instruments provide spatially extended data with a high temporal resolution on almost global scales. How-.
The feature translation ensures that the geographic object can be combined with satellite data to build a feature data cube for analysis. Constructing a ...