A review of earth artificial intelligence
In recent years, Earth system sciences are urgently calling for innovation on improving
accuracy, enhancing model intelligence level, scaling up operation, and reducing costs in …
accuracy, enhancing model intelligence level, scaling up operation, and reducing costs in …
Documentation strategy for facilitating the reproducibility of geo-simulation experiments
Reproducibility is important to verify the credibility and reliability of scientific research.
Geoscientists increasingly focus on the reproducibility of Geo-Simulation Experiments …
Geoscientists increasingly focus on the reproducibility of Geo-Simulation Experiments …
A GPT-enhanced framework on knowledge extraction and reuse for geographic analysis models in Google Earth Engine
Geographic analysis models are becoming increasingly important in the era of geospatial
big data. As a cloud platform that combines massive geospatial data resources with powerful …
big data. As a cloud platform that combines massive geospatial data resources with powerful …
WS4GEE: Enhancing geospatial web services and geoprocessing workflows by integrating the Google Earth Engine
Geospatial web services (GWSs) assist scientists develo** models online. Cloud
computing technologies have created opportunities for faster and more efficient …
computing technologies have created opportunities for faster and more efficient …
Monitoring land cover change by leveraging a dynamic service-oriented computing model
H **ng, H Wang, J Zhang, D Hou - Remote Sensing, 2023 - mdpi.com
Land cover change (LCC) is increasingly affecting global climate change, energy cycle,
carbon cycle, and water cycle, with far-reaching consequences to human well-being. Web …
carbon cycle, and water cycle, with far-reaching consequences to human well-being. Web …
[HTML][HTML] A framework for ecosystem service assessment using GIS interoperability standards
Abstract Ecosystem Services Web Services (ESWS) are new web-based approaches to
quantifying the benefits that humans derive from nature. Specifically, ESWS are the …
quantifying the benefits that humans derive from nature. Specifically, ESWS are the …
A proposed approach for provenance data gathering
Data provenance focuses on the source of the data and on the identification of data sources
and their transformations undergone over time. This paper proposes a generic method for …
and their transformations undergone over time. This paper proposes a generic method for …
A Framework for Assessing the Computational Reproducibility of Geo-Simulation Experiments
Recent advances in computational technologies have enhanced geo-simulation
experiments (GSEs), making computational reproducibility assessments increasingly critical …
experiments (GSEs), making computational reproducibility assessments increasingly critical …
Why-and how-provenance in distributed environments
With the emergence of new paradigms in data management and processing like Cloud
services, the Internet of Things (IoT), and NoSQL, there is a growing trend for distributing …
services, the Internet of Things (IoT), and NoSQL, there is a growing trend for distributing …
Provenance in GIServices: A Semantic Web Approach
Z Wu, H Li, P Yue - ISPRS International Journal of Geo-Information, 2023 - mdpi.com
Recent developments in Web Service and Semantic Web technologies have shown great
promise for the automatic chaining of geographic information services (GIService), which …
promise for the automatic chaining of geographic information services (GIService), which …