A review of earth artificial intelligence

Z Sun, L Sandoval, R Crystal-Ornelas… - Computers & …, 2022 - Elsevier
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 …

On the analyses of medical images using traditional machine learning techniques and convolutional neural networks

S Iqbal, A N. Qureshi, J Li, T Mahmood - Archives of Computational …, 2023 - Springer
Convolutional neural network (CNN) has shown dissuasive accomplishment on different
areas especially Object Detection, Segmentation, Reconstruction (2D and 3D), Information …

Provenance documentation to enable explainable and trustworthy AI: A literature review

A Kale, T Nguyen, FC Harris Jr, C Li, J Zhang… - Data Intelligence, 2023 - direct.mit.edu
Recently artificial intelligence (AI) and machine learning (ML) models have demonstrated
remarkable progress with applications developed in various domains. It is also increasingly …

Deep learning classification for crop types in north dakota

Z Sun, L Di, H Fang, A Burgess - IEEE Journal of Selected …, 2020 - ieeexplore.ieee.org
Recently, agricultural remote sensing community has endeavored to utilize the power of
artificial intelligence (AI). One important topic is using AI to make the map** of crops more …

Biogeosciences perspectives on integrated, coordinated, open, networked (ICON) science

D Dwivedi, ALD Santos, MA Barnard… - Earth and Space …, 2022 - Wiley Online Library
This article is composed of three independent commentaries about the state of Integrated,
Coordinated, Open, Networked (ICON) principles in the American Geophysical Union …

Where is the provenance? Ethical replicability and reproducibility in GIScience and its critical applications

JA Tullis, B Kar - Annals of the American Association of …, 2021 - Taylor & Francis
As replicability and reproducibility (R&R) crises develop within emerging convergent inquiry,
ethical use of provenance information is central to the establishment and preservation of …

High-resolution map** of snow cover in montane meadows and forests using Planet imagery and machine learning

K Yang, A John, D Shean, JD Lundquist, Z Sun… - Frontiers in …, 2023 - frontiersin.org
Mountain snowpack provides critical water resources for forest and meadow ecosystems
that are experiencing rapid change due to global warming. An accurate characterization of …

OpenMindat: Open and FAIR mineralogy data from the Mindat database

X Ma, J Ralph, J Zhang, X Que, A Prabhu… - Geoscience Data …, 2024 - Wiley Online Library
The open data movement has brought revolutionary changes to the field of mineralogy. With
a growing number of datasets made available through community efforts, researchers are …

A GPT-enhanced framework on knowledge extraction and reuse for geographic analysis models in Google Earth Engine

J Liang, A Zhao, S Hou, F **, H Wu - International Journal of …, 2024 - Taylor & Francis
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 …

Towards practical artificial intelligence in Earth sciences

Z Sun, T ten Brink, W Carande, G Koren… - Computational …, 2024 - Springer
Abstract Although Artificial Intelligence (AI) projects are common and desired by many
institutions and research teams, there are still relatively few success stories of AI in practical …