Chen Zhang

Orcid: 0000-0002-8990-2267

Affiliations:
  • George Mason University, Center for Spatial Information Science and Systems, Fairfax, VA, USA


According to our database1, Chen Zhang authored at least 53 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Evaluation of the SpatioTemporal Asset Catalog for management and discovery of FAIR flood hazard models.
Environ. Model. Softw., 2025

2024
Leveraging OGC API for cloud-based flood modeling campaigns.
Environ. Model. Softw., January, 2024

Automated In-Season Crop-Type Data Layer Mapping Without Ground Truth for the Conterminous United States Based on Multisource Satellite Imagery.
IEEE Trans. Geosci. Remote. Sens., 2024

The Global Land Surface Temperature Change in the 21st Century - A Satellite Remote Sensing Based Assessment.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

A Decision Rule and Machine Learning-Based Hybrid Approach for Automated Land-Cover Type Local Climate Zones (LCZs) Mapping Using Multi-Source Remote Sensing Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Reconstructing SMAP-derived 1-km Soil Moisture Dataset Using DINEOF+ Algorithm.
Proceedings of the 12th International Conference on Agro-Geoinformatics, 2024

Phenologically Corrected Crop Condition Mapping and Assessment with Vegetation Index Time Series.
Proceedings of the 12th International Conference on Agro-Geoinformatics, 2024

In-season crop-type mapping in Kenya using Sentinel-2 imagery.
Proceedings of the 12th International Conference on Agro-Geoinformatics, 2024

2023
Cyberinformatics tool for in-season crop-specific land cover monitoring: Design, implementation, and applications of iCrop.
Comput. Electron. Agric., October, 2023

RiceMapEngine: A Google Earth Engine-Based Web Application for Fast Paddy Rice Mapping.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

A Review of Scientific Irrigation Scheduling Methods.
Proceedings of the 11th International Conference on Agro-Geoinformatics, 2023

Optimizing Irrigation Scheduling Using Deep Reinforcement Learning.
Proceedings of the 11th International Conference on Agro-Geoinformatics, 2023

Enhancing USDA NASS Cropland Data Layer with Segment Anything Model.
Proceedings of the 11th International Conference on Agro-Geoinformatics, 2023

Enhancing Remote Sensing Based Machine Learning Applications through Analysis Ready Data: A Comprehensive Review.
Proceedings of the 11th International Conference on Agro-Geoinformatics, 2023

A Review of Remote Sensing in Sugarcane Mapping.
Proceedings of the 11th International Conference on Agro-Geoinformatics, 2023

Prediction of Crop Planting Map Using One-dimensional Convolutional Neural Network and Decision Tree Algorithm.
Proceedings of the 11th International Conference on Agro-Geoinformatics, 2023

2022
Crop-CASMA: A web geoprocessing and map service based architecture and implementation for serving soil moisture and crop vegetation condition data over U.S. Cropland.
Int. J. Appl. Earth Obs. Geoinformation, 2022

Validation and Calibration of HRLDAS Soil Moisture Products in Nebraska.
Proceedings of the 10th International Conference on Agro-geoinformatics, 2022

Rice Modeling Using Long Time Series of High Temporal Resolution Vegetation Indices in Nepal.
Proceedings of the 10th International Conference on Agro-geoinformatics, 2022

ICroplandNet: An Open Distributed Training Dataset for Irrigated Cropland Detection.
Proceedings of the 10th International Conference on Agro-geoinformatics, 2022

Improvement Of In-season Crop Mapping For Illinois Cropland Using Multiple Machine Learning Classifiers.
Proceedings of the 10th International Conference on Agro-geoinformatics, 2022

2021
Remote Sensing of Urban Poverty and Gentrification.
Remote. Sens., 2021

Rapid in-season mapping of corn and soybeans using machine-learned trusted pixels from Cropland Data Layer.
Int. J. Appl. Earth Obs. Geoinformation, 2021

Applying Machine Learning to Cropland Data Layer for Agro-Geoinformation Discovery.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Crop-CASMA - A Web GIS Tool for Cropland Soil Moisture Monitoring and Assessment Based on SMAP Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Impacts of Soil Moisture on Crop Health: A Remote Sensing Perspective.
Proceedings of the 9th International Conference on Agro-Geoinformatics, 2021

An Overview of Agriculture Cyberinformatics Tools to Support USDA NASS Decision Making.
Proceedings of the 9th International Conference on Agro-Geoinformatics, 2021

Disaster Information Dissemination During Emergency Event: An Experiment in OGC Disaster Resilience Pilot.
Proceedings of the 9th International Conference on Agro-Geoinformatics, 2021

2020
AgKit4EE: A toolkit for agricultural land use modeling of the conterminous United States based on Google Earth Engine.
Environ. Model. Softw., 2020

2019
Rapid Flood Progress Monitoring in Cropland with NASA SMAP.
Remote. Sens., 2019

Improvement and Validation of NASA/MODIS NRT Global Flood Mapping.
Remote. Sens., 2019

Exploring cloud-based Web Processing Service: A case study on the implementation of CMAQ as a Service.
Environ. Model. Softw., 2019

Machine-learned prediction of annual crop planting in the U.S. Corn Belt based on historical crop planting maps.
Comput. Electron. Agric., 2019

Cloud Environment for Disseminating NASS Cropland Data Layer.
Proceedings of the 8th International Conference on Agro-Geoinformatics, 2019

Extracting Trusted Pixels from Historical Cropland Data Layer Using Crop Rotation Patterns: A Case Study in Nebraska, USA.
Proceedings of the 8th International Conference on Agro-Geoinformatics, 2019

Selection of Landsat 8 OLI Band Combinations for Land Use and Land Cover Classification.
Proceedings of the 8th International Conference on Agro-Geoinformatics, 2019

Full Stack Web Development of a Geospatial Information Service System for Intelligently Irrigated Agriculture.
Proceedings of the 8th International Conference on Agro-Geoinformatics, 2019

Advanced Cyberinfrastructure for Agricultural Drought Monitoring.
Proceedings of the 8th International Conference on Agro-Geoinformatics, 2019

Crop Field Boundary Delineation using Historical Crop Rotation Pattern.
Proceedings of the 8th International Conference on Agro-Geoinformatics, 2019

Building Near-Real-Time MODIS Data Fusion Workflow to Support Agricultural Decision-making Applications.
Proceedings of the 8th International Conference on Agro-Geoinformatics, 2019

2018
CyberConnector: a service-oriented system for automatically tailoring multisource Earth observation data to feed Earth science models.
Earth Sci. Informatics, 2018

Land Use and Land Cover Classification for Bangladesh 2005 on Google Earth Engine.
Proceedings of the 2018 7th International Conference on Agro-geoinformatics (Agro-geoinformatics), 2018

Impact of Climate Change on Soil Salinity: A Remote Sensing Based Investigation in Coastal Bangladesh.
Proceedings of the 2018 7th International Conference on Agro-geoinformatics (Agro-geoinformatics), 2018

Using Machine Learning Approach to Evaluate the PM2.5 Concentrations in China from 1998 to 2016.
Proceedings of the 2018 7th International Conference on Agro-geoinformatics (Agro-geoinformatics), 2018

2017
GeoFairy: Towards a one-stop and location based Service for Geospatial Information Retrieval.
Comput. Environ. Urban Syst., 2017

Integrating OGC Web Processing Service with cloud computing environment for Earth Observation data.
Proceedings of the 2017 6th International Conference on Agro-Geoinformatics, 2017

Performance improvement on a Web Geospatial service for the remote sensing flood-induced crop loss assessment web application using vector tiling.
Proceedings of the 2017 6th International Conference on Agro-Geoinformatics, 2017

Building robust geospatial web services for agricultural information extraction and sharing.
Proceedings of the 2017 6th International Conference on Agro-Geoinformatics, 2017

Establish cyberinfrastructure to facilitate agricultural drought monitoring.
Proceedings of the 2017 6th International Conference on Agro-Geoinformatics, 2017

Agriculture flood mapping with Soil Moisture Active Passive (SMAP) data: A case of 2016 Louisiana flood.
Proceedings of the 2017 6th International Conference on Agro-Geoinformatics, 2017

Developing a Web service based application for demographic information modeling and analyzing.
Proceedings of the 2017 6th International Conference on Agro-Geoinformatics, 2017

Extract flood duration from Dartmouth Flood Observatory flood product.
Proceedings of the 2017 6th International Conference on Agro-Geoinformatics, 2017

Developing geospatial Web service and system for SMAP soil moisture monitoring.
Proceedings of the 2017 6th International Conference on Agro-Geoinformatics, 2017


  Loading...