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Chen Zhang 0014
Person information
- affiliation: George Mason University, Center for Spatial Information Science and Systems, Fairfax, VA, USA
Other persons with the same name
- Chen Zhang — disambiguation page
- Chen Zhang 0001
— Shanghai Jiao Tong University, China (and 3 more)
- Chen Zhang 0002 — University of Memphis, Memphis, Tennessee, USA
- Chen Zhang 0003
- Chen Zhang 0004
- Chen Zhang 0005
- Chen Zhang 0006
- Chen Zhang 0007
- Chen Zhang 0008
- Chen Zhang 0009
- Chen Zhang 0010 — Graph Intelligence Inc. (and 3 more)
- Chen Zhang 0011 — Darmstadt University of Technology, Germany
- Chen Zhang 0012
- Chen Zhang 0013
- Chen Zhang 0015
- Chen Zhang 0016
- Chen Zhang 0017 — Fairchild Semiconductor, Irvine, CA, USA (and 1 more)
- Chen Zhang 0018
- Chen Zhang 0019
- Chen Zhang 0020 — Zhejiang University, Hangzhou, China
- Chen Zhang 0021 — University of Illinois Urbana-Champaign, USA
- Chen Zhang 0022 — University of California, San Diego, USA
- Chen Zhang 0023 — University College London, UK
- Chen Zhang 0024
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2020 – today
- 2025
- [j17]Seth Lawler, Thomas Williams, William Lehman, Christina Lindemer, David Rosa, Celso Ferreira, Chen Zhang:
Evaluation of the SpatioTemporal Asset Catalog for management and discovery of FAIR flood hazard models. Environ. Model. Softw. 183: 106230 (2025) - 2024
- [j16]Seth Lawler, Chen Zhang
Leveraging OGC API for cloud-based flood modeling campaigns. Environ. Model. Softw. 171: 105855 (2024) - [j15]Li Lin
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. 17: 1756-1764 (2024) - [j14]Md Didarul Islam
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. 17: 8271-8290 (2024) - [j13]Hui Li
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. 62: 1-14 (2024) - [c36]Hui Li, Zhe Guo, Liping Di, Liying Guo, Chen Zhang, Li Lin, Haoteng Zhao, Ziao Lin, Bosen Shao:
In-season crop-type mapping in Kenya using Sentinel-2 imagery. Agro-Geoinformatics 2024: 1-6 - [c35]Haoteng Zhao, Feng Gao, Martha Anderson, Richard Cirone, Jisung Chang, Li Lin, Chen Zhang, Hui Li, Haipeng Zhao:
Phenologically Corrected Crop Condition Mapping and Assessment with Vegetation Index Time Series. Agro-Geoinformatics 2024: 1-6 - [c34]Haoteng Zhao, Haipeng Zhao, Chen Zhang:
Reconstructing SMAP-derived 1-km Soil Moisture Dataset Using DINEOF+ Algorithm. Agro-Geoinformatics 2024: 1-5 - 2023
- [j12]Chen Zhang
Cyberinformatics tool for in-season crop-specific land cover monitoring: Design, implementation, and applications of iCrop. Comput. Electron. Agric. 213: 108199 (2023) - [j11]Zhiqi Yu
RiceMapEngine: A Google Earth Engine-Based Web Application for Fast Paddy Rice Mapping. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 7264-7275 (2023) - [c33]Hui Li, Liping Di, Chen Zhang, Li Lin, Liying Guo, Haoteng Zhao:
Prediction of Crop Planting Map Using One-dimensional Convolutional Neural Network and Decision Tree Algorithm. Agro-Geoinformatics 2023: 1-5 - [c32]Hui Li, Liping Di, Chen Zhang, Li Lin, Liying Guo, Haoteng Zhao, Claire Guo, Ryan Hong:
A Review of Remote Sensing in Sugarcane Mapping. Agro-Geoinformatics 2023: 1-5 - [c31]Wilman Vlach, Li Lin, Chen Zhang, Liping Di, Haoteng Zhao, Hui Li:
Enhancing Remote Sensing Based Machine Learning Applications through Analysis Ready Data: A Comprehensive Review. Agro-Geoinformatics 2023: 1-5 - [c30]Chen Zhang, Purva Marfatia, Hamza Farhan, Liping Di, Li Lin, Haoteng Zhao, Hui Li, Md Didarul Islam, Zhengwei Yang
Enhancing USDA NASS Cropland Data Layer with Segment Anything Model. Agro-Geoinformatics 2023: 1-5 - [c29]Haoteng Zhao, Liping Di, Liying Guo, Li Lin, Chen Zhang, Eugene Yu, Hui Li:
Optimizing Irrigation Scheduling Using Deep Reinforcement Learning. Agro-Geoinformatics 2023: 1-4 - [c28]Haoteng Zhao, Liping Di, Eugene Yu, Liying Guo, Li Lin, Chen Zhang, Hui Li:
A Review of Scientific Irrigation Scheduling Methods. Agro-Geoinformatics 2023: 1-4 - 2022
- [j10]Chen Zhang
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 112: 102902 (2022) - [c27]Hui Li, Liping Di, Chen Zhang
Improvement Of In-season Crop Mapping For Illinois Cropland Using Multiple Machine Learning Classifiers. Agro-Geoinformatics 2022: 1-6 - [c26]Eugene G. Yu, Liping Di, David J. Meyer, Peisheng Zhao, Li Lin
ICroplandNet: An Open Distributed Training Dataset for Irrigated Cropland Detection. Agro-Geoinformatics 2022: 1-6 - [c25]Eugene G. Yu, Liping Di, Faisal Mueen Qamer, Haoteng Zhao, Zhiqi Yu
Rice Modeling Using Long Time Series of High Temporal Resolution Vegetation Indices in Nepal. Agro-Geoinformatics 2022: 1-6 - [c24]Haoteng Zhao, Liping Di, Ziheng Sun, Eugene Yu, Chen Zhang
Validation and Calibration of HRLDAS Soil Moisture Products in Nebraska. Agro-Geoinformatics 2022: 1-4 - 2021
- [j9]Chen Zhang
Rapid in-season mapping of corn and soybeans using machine-learned trusted pixels from Cropland Data Layer. Int. J. Appl. Earth Obs. Geoinformation 102: 102374 (2021) - [j8]Li Lin
Remote Sensing of Urban Poverty and Gentrification. Remote. Sens. 13(20): 4022 (2021) - [c23]Li Lin
Disaster Information Dissemination During Emergency Event: An Experiment in OGC Disaster Resilience Pilot. Agro-Geoinformatics 2021: 1-4 - [c22]Chen Zhang, Liping Di, Zhengwei Yang
An Overview of Agriculture Cyberinformatics Tools to Support USDA NASS Decision Making. Agro-Geoinformatics 2021: 1-6 - [c21]Haoteng Zhao
Impacts of Soil Moisture on Crop Health: A Remote Sensing Perspective. Agro-Geoinformatics 2021: 1-4 - [c20]Chen Zhang
Applying Machine Learning to Cropland Data Layer for Agro-Geoinformation Discovery. IGARSS 2021: 1149-1152 - [c19]Zhengwei Yang
Crop-CASMA - A Web GIS Tool for Cropland Soil Moisture Monitoring and Assessment Based on SMAP Data. IGARSS 2021: 6315-6318 - 2020
- [j7]Chen Zhang
AgKit4EE: A toolkit for agricultural land use modeling of the conterminous United States based on Google Earth Engine. Environ. Model. Softw. 129: 104694 (2020)
2010 – 2019
- 2019
- [j6]Chen Zhang
Machine-learned prediction of annual crop planting in the U.S. Corn Belt based on historical crop planting maps. Comput. Electron. Agric. 166 (2019) - [j5]Chen Zhang
Exploring cloud-based Web Processing Service: A case study on the implementation of CMAQ as a Service. Environ. Model. Softw. 113: 29-41 (2019) - [j4]Md. Shahinoor Rahman
Rapid Flood Progress Monitoring in Cropland with NASA SMAP. Remote. Sens. 11(2): 191 (2019) - [j3]Li Lin
Improvement and Validation of NASA/MODIS NRT Global Flood Mapping. Remote. Sens. 11(2): 205 (2019) - [c18]Li Lin
Building Near-Real-Time MODIS Data Fusion Workflow to Support Agricultural Decision-making Applications. Agro-Geoinformatics 2019: 1-5 - [c17]Md. Shahinoor Rahman
Crop Field Boundary Delineation using Historical Crop Rotation Pattern. Agro-Geoinformatics 2019: 1-5 - [c16]Ziheng Sun, Liping Di, Hui Fang, Liying Guo, Eugene Yu, Junmei Tang, Haoteng Zhao
Advanced Cyberinfrastructure for Agricultural Drought Monitoring. Agro-Geoinformatics 2019: 1-5 - [c15]Eugene Genong Yu
Full Stack Web Development of a Geospatial Information Service System for Intelligently Irrigated Agriculture. Agro-Geoinformatics 2019: 1-6 - [c14]Zhiqi Yu
Selection of Landsat 8 OLI Band Combinations for Land Use and Land Cover Classification. Agro-Geoinformatics 2019: 1-5 - [c13]Chen Zhang
Extracting Trusted Pixels from Historical Cropland Data Layer Using Crop Rotation Patterns: A Case Study in Nebraska, USA. Agro-Geoinformatics 2019: 1-6 - [c12]Chen Zhang
Cloud Environment for Disseminating NASS Cropland Data Layer. Agro-Geoinformatics 2019: 1-5 - 2018
- [j2]Ziheng Sun
CyberConnector: a service-oriented system for automatically tailoring multisource Earth observation data to feed Earth science models. Earth Sci. Informatics 11(1): 1-17 (2018) - [c11]Li Lin
Using Machine Learning Approach to Evaluate the PM2.5 Concentrations in China from 1998 to 2016. Agro-Geoinformatics 2018: 1-5 - [c10]Md. Shahinoor Rahman
Impact of Climate Change on Soil Salinity: A Remote Sensing Based Investigation in Coastal Bangladesh. Agro-Geoinformatics 2018: 1-5 - [c9]Zhiqi Yu
Land Use and Land Cover Classification for Bangladesh 2005 on Google Earth Engine. Agro-Geoinformatics 2018: 1-5 - 2017
- [j1]Ziheng Sun
GeoFairy: Towards a one-stop and location based Service for Geospatial Information Retrieval. Comput. Environ. Urban Syst. 62: 156-167 (2017) - [c8]Lei Hu, Liping Di, Eugene Yu, Peng Yue, Junmei Tang, Li Lin
Developing geospatial Web service and system for SMAP soil moisture monitoring. Agro-Geoinformatics 2017: 1-5 - [c7]Li Lin
Extract flood duration from Dartmouth Flood Observatory flood product. Agro-Geoinformatics 2017: 1-4 - [c6]Li Lin
Developing a Web service based application for demographic information modeling and analyzing. Agro-Geoinformatics 2017: 1-5 - [c5]Md. Shahinoor Rahman
Agriculture flood mapping with Soil Moisture Active Passive (SMAP) data: A case of 2016 Louisiana flood. Agro-Geoinformatics 2017: 1-6 - [c4]Ziheng Sun, Liping Di, Chen Zhang
Establish cyberinfrastructure to facilitate agricultural drought monitoring. Agro-Geoinformatics 2017: 1-4 - [c3]Ziheng Sun, Liping Di, Chen Zhang
Building robust geospatial web services for agricultural information extraction and sharing. Agro-Geoinformatics 2017: 1-4 - [c2]Eugene G. Yu
Performance improvement on a Web Geospatial service for the remote sensing flood-induced crop loss assessment web application using vector tiling. Agro-Geoinformatics 2017: 1-6 - [c1]Chen Zhang
Integrating OGC Web Processing Service with cloud computing environment for Earth Observation data. Agro-Geoinformatics 2017: 1-4
Coauthor Index
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