Ni‐Bin Chang
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View article: LGHAP v2: a global gap-free aerosol optical depth and PM <sub>2.5</sub> concentration dataset since 2000 derived via big Earth data analytics
LGHAP v2: a global gap-free aerosol optical depth and PM <sub>2.5</sub> concentration dataset since 2000 derived via big Earth data analytics Open
The Long-term Gap-free High-resolution Air Pollutants (LGHAP) concentration dataset generated in our previous study has provided spatially contiguous daily aerosol optical depth (AOD) and fine particulate matter (PM2.5) concentrations at a…
View article: Deciphering linkages between DON and the microbial community for nitrogen removal using two green sorption media in a surface water filtration system
Deciphering linkages between DON and the microbial community for nitrogen removal using two green sorption media in a surface water filtration system Open
The presence of dissolved organic nitrogen (DON) in stormwater treatment processes is a continuous challenge because of the intertwined nature of its decomposition, bioavailability, and biodegradability and its unclear molecular characteri…
View article: Simultaneous removal of nutrients and biological pollutants via specialty absorbents in a water filtration system for watershed remediation
Simultaneous removal of nutrients and biological pollutants via specialty absorbents in a water filtration system for watershed remediation Open
To investigate watershed remediation within a Total Maximum Daily Load program, this study examined the field-scale filtration performance of two specialty absorbents. The goal was to simultaneously remove nutrients and biological pollutan…
View article: Comment on essd-2023-519
Comment on essd-2023-519 Open
Abstract. The Long-term Gap-free High-resolution Air Pollutants concentration dataset (LGHAP) provides spatially contiguous daily aerosol optical depth (AOD) and particulate matters (PMs) concentration at 1-km grid resolution in China sinc…
View article: LGHAP v2: A global gap-free aerosol optical depth and PM <sub>2.5</sub> concentration dataset since 2000 derived via big earth data analytics
LGHAP v2: A global gap-free aerosol optical depth and PM <sub>2.5</sub> concentration dataset since 2000 derived via big earth data analytics Open
The Long-term Gap-free High-resolution Air Pollutants concentration dataset (LGHAP) provides spatially contiguous daily aerosol optical depth (AOD) and particulate matters (PMs) concentration at 1-km grid resolution in China since 2000. Th…
Lake algal bloom monitoring via remote sensing with biomimetic and computational intelligence Open
Traditional supervised classifications for remote sensing-based water quality monitoring count on a set of classifiers to retrieve features and improve their prediction accuracies based on ground truth samples. However, many existing featu…
View article: LGHAP: the Long-term Gap-free High-resolution Air Pollutant concentration dataset, derived via tensor-flow-based multimodal data fusion
LGHAP: the Long-term Gap-free High-resolution Air Pollutant concentration dataset, derived via tensor-flow-based multimodal data fusion Open
Developing a big data analytics framework for generating the Long-term Gap-free High-resolution Air Pollutant concentration dataset (abbreviated as LGHAP) is of great significance for environmental management and Earth system science analy…
View article: LGHAP: a Long-term Gap-free High-resolution Air Pollutants concentration dataset derived via tensor flow based multimodal data fusion
LGHAP: a Long-term Gap-free High-resolution Air Pollutants concentration dataset derived via tensor flow based multimodal data fusion Open
Developing a big data analytics framework for generating a Long-term Gap-free High-resolution Air Pollutants concentration dataset (abbreviated as LGHAP) is of great significance for environmental management and earth system science analys…
View article: Supplementary material to "LGHAP: a Long-term Gap-free High-resolution Air Pollutants concentration dataset derived via tensor flow based multimodal data fusion"
Supplementary material to "LGHAP: a Long-term Gap-free High-resolution Air Pollutants concentration dataset derived via tensor flow based multimodal data fusion" Open
Satellite-based AOD products • MAIAC AOD productThe multiangle implementation of atmospheric correction (MAIAC) is the latest algorithm used for processing MODIS Collection 6 data record, providing not only land surface reflectance but AOD…
View article: Synergistic Integration Between Machine Learning and Agent-Based Modeling: A Multidisciplinary Review
Synergistic Integration Between Machine Learning and Agent-Based Modeling: A Multidisciplinary Review Open
Agent-based modeling (ABM) involves developing models in which agents make adaptive decisions in a changing environment. Machine-learning (ML) based inference models can improve sequential decision-making by learning agents' behavioral pat…
View article: Multi-source hierarchical data fusion for high-resolution AOD mapping in a forest fire event
Multi-source hierarchical data fusion for high-resolution AOD mapping in a forest fire event Open
Satellite and ground‐based remote sensing images, as well as reanalysis data, are widely used to measure and/or model aerosol properties of Earth's atmosphere. However, none of these data sources are perfect: satellite data suffer from var…
View article: Diagnosis toward predicting mean annual runoff in ungauged basins
Diagnosis toward predicting mean annual runoff in ungauged basins Open
Prediction of mean annual runoff is of great interest but still poses a challenge in ungauged basins. The present work diagnoses the prediction in mean annual runoff affected by the uncertainty in estimated distribution of soil water stora…
View article: Ensemble Learning via Higher Order Singular Value Decomposition for Integrating Data and Classifier Fusion in Water Quality Monitoring
Ensemble Learning via Higher Order Singular Value Decomposition for Integrating Data and Classifier Fusion in Water Quality Monitoring Open
Current multimodal learning in smart feature extraction and classification has reshaped the landscape of remote sensing. The recent developments in smart feature extraction mainly rely on different machine learning and data mining algorith…
View article: Nonlinear Phase Shifts data set I
Nonlinear Phase Shifts data set I Open
Data set I (Data extraction, Data_MODIS, Results)
View article: Nonlinear Phase Shift data set II
Nonlinear Phase Shift data set II Open
Data set II (Results)
View article: A homogenized daily in situ PM <sub>2.5</sub> concentration dataset from the national air quality monitoring network in China
A homogenized daily in situ PM <sub>2.5</sub> concentration dataset from the national air quality monitoring network in China Open
In situ PM2.5 concentration observations have long been used as critical data sources in haze-related studies. Due to the frequently occurring haze pollution events, China started to regularly monitor PM2.5 concentration nationwide from th…
View article: Water Resource Management Capacity Development: A Small Systems Technology Transfer Model
Water Resource Management Capacity Development: A Small Systems Technology Transfer Model Open
Systems development; coordinated web and applications development; assisting drinking water and wastewater utilities with information technology issues that arise; providing technical assistance to water districts; and supporting the infor…
View article: Wrmt Case Study: Gis With Rule Based Expert System
Wrmt Case Study: Gis With Rule Based Expert System Open
NOTE: The first page of text has been automatically extracted and included below in lieu of an abstract WRMT Case Study: GIS with Rule-based Expert System for Optimal Planning of Sensor Network in Drinking Water Systems Abstract This paper…
View article: A homogenized daily <i>in situ</i> PM <sub>2.5</sub> concentration dataset from national air qualitymonitoring network in China
A homogenized daily <i>in situ</i> PM <sub>2.5</sub> concentration dataset from national air qualitymonitoring network in China Open
In situ PM2.5 concentration observations have long been used as critical data sources in haze related studies. Due to the frequently occurred haze pollution episodes, China started to establish the national ambient air quality monitoring n…
View article: Diagnosis toward predicting mean annual runoff in ungauged basins
Diagnosis toward predicting mean annual runoff in ungauged basins Open
The present work diagnoses the prediction in mean annual runoff affected by the uncertainty in estimated distribution of soil water storage capacity. Based on a distribution function, a water balance model for estimating mean annual runoff…