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Full-Text Articles in Engineering
Natural Gas Induced Vegetation Stress Identification And Discrimination From Hyperspectral Imaging For Pipeline Leakage Detection, Pengfei Ma, Ying Zhuo, Genda Chen, Joel G. Burken
Natural Gas Induced Vegetation Stress Identification And Discrimination From Hyperspectral Imaging For Pipeline Leakage Detection, Pengfei Ma, Ying Zhuo, Genda Chen, Joel G. Burken
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Remote Sensing Detection of Natural Gas Leaks Remains Challenging When using Ground Vegetation Stress to Detect Underground Pipeline Leaks. Other Natural Stressors May Co-Present and Complicate Gas Leak Detection. This Study Explores the Feasibility of Identifying and Distinguishing Gas-Induced Stress from Other Natural Stresses by Analyzing the Hyperspectral Reflectance of Vegetation. the Effectiveness of This Discrimination is Assessed Across Three Distinct Spectral Ranges (VNIR, SWIR, and Full Spectra). Greenhouse Experiments Subjected Three Plant Species to Controlled Environmental Stressors, Including Gas Leakage, Salinity Impact, Heavy-Metal Contamination, and Drought Exposure. Spectral Curves Obtained from the Experiments Underwent Preprocessing Techniques Such as Standard …
Comprehensive Evaluation Of The Ifloods Radar Rainfall Products For Hydrologic Applications, Bong Chul Seo, Witold F. Krajewski, Felipe Quintero, Mohamed Elsaadani, Radoslaw Goska, Luciana K. Cunha, Brenda Dolan, David B. Wolff, James A. Smith, Steven A. Rutledge, Walter A. Petersen
Comprehensive Evaluation Of The Ifloods Radar Rainfall Products For Hydrologic Applications, Bong Chul Seo, Witold F. Krajewski, Felipe Quintero, Mohamed Elsaadani, Radoslaw Goska, Luciana K. Cunha, Brenda Dolan, David B. Wolff, James A. Smith, Steven A. Rutledge, Walter A. Petersen
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
This study describes the generation and testing of a reference rainfall product created from field campaign datasets collected during the NASA Global Precipitation Measurement (GPM) mission Ground Validation Iowa Flood Studies (IFloodS) experiment. The study evaluates ground-based radar rainfall (RR) products acquired during IFloodS in the context of building the reference rainfall product. The purpose of IFloodS was not only to attain a high-quality ground-based reference for the validation of satellite rainfall estimates but also to enhance understanding of flood-related rainfall processes and the predictability of flood forecasting. We assessed the six RR estimates (IFC, Q2, CSU-DP, NWS-DP, Stage IV, …
Comparison Of Single- And Dual-Polarization-Based Rainfall Estimates Using Nexrad Data For The Nasa Iowa Flood Studies Project, Bong Chul Seo, Brenda Dolan, Witold F. Krajewski, Steven A. Rutledge, Walter Petersen
Comparison Of Single- And Dual-Polarization-Based Rainfall Estimates Using Nexrad Data For The Nasa Iowa Flood Studies Project, Bong Chul Seo, Brenda Dolan, Witold F. Krajewski, Steven A. Rutledge, Walter Petersen
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
This study compares and evaluates single-polarization (SP)- and dual-polarization (DP)-based radar rainfall (RR) estimates using NEXRAD data acquired during Iowa Flood Studies (IFloodS), a NASA GPM ground validation field campaign carried out in May-June 2013. The objective of this study is to understand the potential benefit of the DP quantitative precipitation estimation, which selects different rain-rate estimators according to radar-identified precipitation types, and to evaluate RR estimates generated by the recent research SP and DP algorithms. The Iowa Flood Center SP (IFC-SP) and Colorado State University DP(CSU-DP) products are analyzed and assessed using two high-density, high-quality rain gauge networks as …