Frontiers in Big Data | Data-driven Climate Sciences

Methods

Accepted on 28 Jan 2025

Deep Learning for Accurate Classification of Conifer Pollen Grains: Enhancing Species Identification in Palynology

in Data-driven Climate Sciences

Masoud A Rostami
LeMaur Kydd
Behnaz Balmaki
Lee Dyer
Julie M Allen

Frontiers in Big Data

doi 10.3389/fdata.2025.1507036

104 views

Original Research

Published on 08 Jul 2024

Real driving cycles and emissions for urban freight transport

in Data-driven Climate Sciences

Julie Anne Holanda Azevedo
Demostenis Ramos Cassiano
Bruno Vieira Bertoncini

Frontiers in Big Data

doi 10.3389/fdata.2024.1375455

1,364 views

Original Research

Published on 30 May 2024

Particulate matter forecast and prediction in Curitiba using machine learning

in Data-driven Climate Sciences

Marianna Gonçalves Dias Chaves
Adriel Bilharva da Silva
Emílio Graciliano Ferreira Mercuri
Steffen Manfred Noe

Frontiers in Big Data

doi 10.3389/fdata.2024.1412837

1,529 views
2 citations

Original Research

Published on 15 May 2024

Tradescantia response to air and soil pollution, stamen hair cells dataset and ANN color classification

in Data-driven Climate Sciences

Leatrice Talita Rodrigues
Barbara Sanches Antunes Goeldner
Emílio Graciliano Ferreira Mercuri
Steffen Manfred Noe

Frontiers in Big Data

doi 10.3389/fdata.2024.1384240

2,144 views
1 citation

Original Research

Published on 17 Nov 2023

Deep learning estimation of northern hemisphere soil freeze-thaw dynamics using satellite multi-frequency microwave brightness temperature observations

in Data-driven Climate Sciences

Kellen Donahue
John S. Kimball
Jinyang Du
Fredrick Bunt
Andreas Colliander
Mahta Moghaddam
Jesse Johnson
Youngwook Kim
Michael A. Rawlins

Frontiers in Big Data

doi 10.3389/fdata.2023.1243559

2,020 views
1 citation

Original Research

Published on 17 Jul 2023

Assessment of geothermal resource potential in Changbaishan utilizing high-precision gravity-based man-machine interactive inversion technology

in Data-driven Climate Sciences

Zhi-He Xu
Ji-Yi Jiang
Guan-Wen Gu
Zhen-Jun Sun
Xuan-Kai Jiao
Xing-Guo Niu
Qin Yu

Frontiers in Big Data

doi 10.3389/fdata.2023.1139918

1,750 views

Original Research

Published on 24 Feb 2023

Machine learning-based ozone and PM2.5 forecasting: Application to multiple AQS sites in the Pacific Northwest

in Data-driven Climate Sciences

Kai Fan
Ranil Dhammapala
Kyle Harrington
Brian Lamb
Yunha Lee

Frontiers in Big Data

doi 10.3389/fdata.2023.1124148

2,860 views
3 citations

Original Research

Published on 09 Jan 2023

Changing features of the Northern Hemisphere 500-hPa circumpolar vortex

in Data-driven Climate Sciences

Nazla Bushra
Robert V. Rohli
Chunyan Li
Paul W. Miller
Rubayet Bin Mostafiz

Frontiers in Big Data

doi 10.3389/fdata.2022.1009158

2,111 views
2 citations

Original Research

Published on 09 Jan 2023

Flood risk assessment for residences at the neighborhood scale by owner/occupant type and first-floor height

in Data-driven Climate Sciences

Ayat Al Assi
Rubayet Bin Mostafiz
Carol J. Friedland
Md Adilur Rahim
Robert V. Rohli

Frontiers in Big Data

doi 10.3389/fdata.2022.997447

3,907 views
14 citations

Original Research

Published on 12 Dec 2022

A data-driven spatial approach to characterize the flood hazard

in Data-driven Climate Sciences

Rubayet Bin Mostafiz
Md Adilur Rahim
Carol J. Friedland
Robert V. Rohli
Nazla Bushra
Fatemeh Orooji

Frontiers in Big Data

doi 10.3389/fdata.2022.1022900

2,861 views
8 citations

Brief Research Report

Published on 09 Sep 2022

Observation-based assessment of secondary water effects on seasonal vegetation decay across Africa

in Data-driven Climate Sciences

Çağlar Küçük
Sujan Koirala
Nuno Carvalhais
Diego G. Miralles
Markus Reichstein
Martin Jung

Frontiers in Big Data

doi 10.3389/fdata.2022.967477

1,989 views

Original Research

Published on 20 May 2022

Application of a Machine Learning Algorithm in Generating an Evapotranspiration Data Product From Coupled Thermal Infrared and Microwave Satellite Observations

in Data-driven Climate Sciences

Li Fang
Xiwu Zhan
Satya Kalluri
Peng Yu
Chris Hain
Martha Anderson
Istvan Laszlo

Frontiers in Big Data

doi 10.3389/fdata.2022.768676

2,823 views
1 citation

Editorial

Published on 05 May 2022

Editorial: Statistical Learning for Predicting Air Quality

in Data-driven Climate Sciences

Yves Philippe Rybarczyk
Rasa Zalakeviciute

Frontiers in Big Data

doi 10.3389/fdata.2022.898643

1,956 views
1 citation

Original Research

Published on 04 Apr 2022

Deep Learning Approach for Assessing Air Quality During COVID-19 Lockdown in Quito

in Data-driven Climate Sciences

Phuong N. Chau
Rasa Zalakeviciute
Ilias Thomas
Yves Rybarczyk

Frontiers in Big Data

doi 10.3389/fdata.2022.842455

6,780 views
26 citations

Original Research

Published on 25 Mar 2022

Data-Driven Framework for Understanding and Predicting Air Quality in Urban Areas

in Data-driven Climate Sciences

Lakshmi Babu Saheer
Ajay Bhasy
Mahdi Maktabdar
Javad Zarrin

Frontiers in Big Data

doi 10.3389/fdata.2022.822573

6,733 views
10 citations

Brief Research Report

Published on 10 Mar 2022

Air Quality Forecast by Statistical Methods: Application to Portugal and Macao

in Data-driven Climate Sciences

Luísa Mendes
Joana Monjardino
Francisco Ferreira

Frontiers in Big Data

doi 10.3389/fdata.2022.826517

5,265 views
13 citations

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Articles

Deep Learning for Accurate Classification of Conifer Pollen Grains: Enhancing Species Identification in Palynology

Real driving cycles and emissions for urban freight transport

Particulate matter forecast and prediction in Curitiba using machine learning

Tradescantia response to air and soil pollution, stamen hair cells dataset and ANN color classification

Deep learning estimation of northern hemisphere soil freeze-thaw dynamics using satellite multi-frequency microwave brightness temperature observations

Assessment of geothermal resource potential in Changbaishan utilizing high-precision gravity-based man-machine interactive inversion technology

Machine learning-based ozone and PM2.5 forecasting: Application to multiple AQS sites in the Pacific Northwest

Changing features of the Northern Hemisphere 500-hPa circumpolar vortex

Flood risk assessment for residences at the neighborhood scale by owner/occupant type and first-floor height

A data-driven spatial approach to characterize the flood hazard

Observation-based assessment of secondary water effects on seasonal vegetation decay across Africa

Application of a Machine Learning Algorithm in Generating an Evapotranspiration Data Product From Coupled Thermal Infrared and Microwave Satellite Observations

Editorial: Statistical Learning for Predicting Air Quality

Deep Learning Approach for Assessing Air Quality During COVID-19 Lockdown in Quito

Data-Driven Framework for Understanding and Predicting Air Quality in Urban Areas

Air Quality Forecast by Statistical Methods: Application to Portugal and Macao