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1. Biodiversity data synthesis is critical for realizing a functional post-2020 framework

Author:
Michael C. Orr; Alice C. Hughes; Mark J. Costello; Huijie Qiao
Source:
Biological conservation 2022 v.274 pp. 109735
ISSN:
0006-3207
Subject:
data quality,   etc   ; automation; biodiversity;     Show all 3 Subjects
Abstract:
... The Post-2020 Global Biodiversity Framework currently is under development as part of the Convention of Biodiversity's aim to prevent global biodiversity losses by 2050, but targets can only be effectively developed and assessed if the data used for them are fit for purpose. The monitoring framework has been discussed at length and ensuring appropriate data use is critical to target effectiveness, ...
DOI:
10.1016/j.biocon.2022.109735

2. Design and Simulation of Stellar Occultation Infrared Band Constellation

Author:
Qinglin Zhu; Mingchen Sun; Xiang Dong; Pengfei Zhu
Source:
Remote Sensing 2022 v.14 no.14 pp. -
ISSN:
2072-4292
Subject:
data quality,   etc   ; altitude; geographical distribution;     Show all 3 Subjects
Abstract:
... This study provides an in-depth analysis of the characteristics of stellar occultation events. Using 10 target star sources, the influence of orbital elements on the number, duration, and distribution of stellar occultation events was simulated and analyzed, and the constellation configuration was designed. The results showed the following points: (1) the orbital inclination had the greatest influ ...
DOI:
10.3390/rs14143327

3. A Novel Polarimetric Channel Imbalance Phase Estimation Method Based on the Rotated Double-Bounce Backscatters in Urban Areas

Author:
Songtao Shangguan; Xiaolan Qiu; Bin Han; Wenju Liu; Kun Fu
Source:
Remote Sensing 2022 v.14 no.13 pp. -
ISSN:
2072-4292
Subject:
data quality,   etc   ; polarimetry; urban areas;     Show all 3 Subjects
Abstract:
... Polarization calibration without artificial calibrators has been one of the focuses of research and discussion for PolSAR communities. However, there is limited research on the treatment of dual-polarization systems and the calibration methods for getting rid of distributed targets. In this paper, we contribute to proposing a new and convenient method for estimating the polarimetric channel imbala ...
DOI:
10.3390/rs14133177

4. Sampling in environmental matrices: a critical review

Author:
Prashant P. Bhave; Karan Sadhwani
Source:
Environmental forensics 2022 v.23 no.1-2 pp. 75-92
ISSN:
1527-5930
Subject:
data quality,   etc   ; mercury; pollution; soil; India;     Show all 5 Subjects
Abstract:
... The sampling design of Deonar dumping ground located at Mumbai, India is conceptualized in this paper using seven different sampling protocols. The sampling design is developed to investigate the total mercury levels in the soil. Individual units are selected from the population to establish the pollution status of the area. It is seen that time and budgetary constraints are major factors affectin ...
DOI:
10.1080/15275922.2021.1887971

5. Learning a Fully Connected U-Net for Spectrum Reconstruction of Fourier Transform Imaging Spectrometers

Author:
Tieqiao Chen; Xiuqin Su; Haiwei Li; Siyuan Li; Jia Liu; Geng Zhang; Xiangpeng Feng; Shuang Wang; Xuebin Liu; Yihao Wang; Chunbo Zou
Source:
Remote Sensing 2022 v.14 no.4 pp. -
ISSN:
2072-4292
Subject:
data quality,   etc   ; interferometry; models; satellites; spectral analysis;     Show all 5 Subjects
Abstract:
... Fourier transform imaging spectrometers (FTISs) are widely used in global hyperspectral remote sensing due to the advantages of high stability, high throughput, and high spectral resolution. Spectrum reconstruction (SpecR) is a classic problem of FTISs determining the acquired data quality and application potential. However, the state-of-the-art SpecR algorithms were restricted by the length of ma ...
DOI:
10.3390/rs14040900

6. Lidar Ratio Regional Transfer Method for Extinction Coefficient Accuracy Improvement in Lidar Networks

Author:
Yicheng Tong; Sijie Chen; Da Xiao; Kai Zhang; Jing Fang; Chong Liu; Yibing Shen; Dong Liu
Source:
Remote Sensing 2022 v.14 no.3 pp. -
ISSN:
2072-4292
Subject:
data quality,   etc   ; aerosols; dust; lidar; models; photometers;     Show all 6 Subjects
Abstract:
... Lidar networks are essential to study the three-dimensional distribution of aerosols on a regional scale. At present, both Mie-scattering lidar (ML) and advanced lidars are being used in lidar networks. The latter can retrieve extinction coefficients without strict assumptions of the lidar ratio, such as Raman lidar (RL) or high-spectral-resolution lidar (HSRL). In order to balance the data qualit ...
DOI:
10.3390/rs14030626

7. Analyses of GLONASS and GPS+GLONASS Precise Positioning Performance in Different Latitude Regions

Author:
Yanli Zheng; Fu Zheng; Cheng Yang; Guigen Nie; Shuhui Li
Source:
Remote Sensing 2022 v.14 no.18 pp. -
ISSN:
2072-4292
Subject:
data quality,   etc   ; geometry; latitude; statistical analysis; troposphere;     Show all 5 Subjects
Abstract:
... The orbital inclination angle of the GLONASS constellation is about 10° larger than that of GPS, Galileo, and BDS. Theoretically, the higher orbital inclination angle could provide better observation geometry in high latitude regions. A wealth of research has investigated the positioning accuracy of GLONASS and its impact on multi-GNSS, but rarely considered the contribution of the GLONASS constel ...
DOI:
10.3390/rs14184640

8. An assessment of data accuracy and best practice recommendations for observations of lichens and other taxonomically difficult taxa on iNaturalist

Author:
R. Troy McMullin; Jessica L. Allen
Source:
Botany 2022 v.100 no.6 pp. 491-497
ISSN:
1916-2804
Subject:
data quality,   etc   ; biodiversity; biodiversity conservation; botany; lichens;     Show all 5 Subjects
Abstract:
... We assess the identification accuracy of ‘research grade’ observations of lichens posted on the online platform iNaturalist. Our results show that these observations are frequently misidentified or lack the necessary chemical and (or) microscopic information for accurate identification. Lichens are a taxonomically difficult group, but they are ubiquitous and eye-catching and are regularly the subj ...
DOI:
10.1139/cjb-2021-0160

9. Analysing the value of environmental citizen-generated data: Complementarity and cost per observation

Author:
Leonardo Alfonso; Mohammad Gharesifard; Uta Wehn
Source:
Journal of environmental management 2022 v.303 pp. 114157
ISSN:
0301-4797
Subject:
data quality,   etc   ; citizen science; cost effectiveness; governance;     Show all 4 Subjects
Abstract:
... The proliferation of Citizen Science initiatives has increased the expectations of practitioners who need data for design, analysis, management and research in environmental applications. Many Citizen Science experiences have reported tangible societal benefits related to improved governance of natural resources due to the involvement of citizens and communities. However, from the perspective of d ...
DOI:
10.1016/j.jenvman.2021.114157

10. Analytical precision assessment for microplastic analyses

Author:
Jeff Wagner; William Robberson; Harry Allen
Source:
Chemosphere 2022 v.304 pp. 135295
ISSN:
0045-6535
Subject:
data quality,   etc   ; automation; exercise; filtration; microplastics; wastewater;     Show all 6 Subjects
Abstract:
... The need for improved microplastic (MP) data accuracy has been widely reported, but MP precision issues have been investigated less thoroughly. This work demonstrates how initial and continuing assessments of a laboratory's analytical precision can be used for establishing laboratory repeatability for MP analyses. These precision estimates can be reported along with MP results to ensure their qual ...
DOI:
10.1016/j.chemosphere.2022.135295

11. The Comparison of Electron Density between CSES In Situ and Ground-Based Observations in China

Author:
Jing Liu; Tong Xu; Zonghua Ding; Xuemin Zhang
Source:
Remote Sensing 2022 v.14 no.18 pp. -
ISSN:
2072-4292
Subject:
data quality,   etc   ; altitude; ionization; radar; satellites; China;     Show all 6 Subjects
Abstract:
... As the observation accuracy of parameters in the ionosphere cannot be directly checked, the comparison with other observations is the main way to evaluate the data quality of satellite measurements. Through the comparative analysis between the in situ electron density (Ne) observed by the China Seismo-Electromagnetic Satellite (CSES) and Ne at about 500 km altitude detected by Qujing Incoherent Sc ...
DOI:
10.3390/rs14184498

12. Innovative Methods in the Study of Protest: Editor’s Introduction

Author:
J. Craig Jenkins
Source:
American behavioral scientist 2022 v.66 no.4 pp. 395-411
ISSN:
1552-3381
Subject:
data quality,   etc   ; comparative study; politics; scientists; surveys;     Show all 5 Subjects
Abstract:
... This special issue examines innovative methods in three areas of protest studies: (1) survey methodology and scaling, (2) the development and assessment of political event data, and (3) methods of contextual analysis. The articles provide new techniques and general methodologies for improving the quality of data that we have about protest, especially in the comparative study of protest. ...
DOI:
10.1177/00027642211021641

13. Advancing UN Comtrade for Physical Trade Flow Analysis: Review of Data Quality Issues and Solutions

Author:
Chuke Chen; Zhihan Jiang; Nan Li; Heming Wang; Peng Wang; Zhihe Zhang; Chao Zhang; Fengmei Ma; Yuanyi Huang; Xiaohui Lu; Jianlimin Wei; Jianchuan Qi; Wei-Qiang Chen
Source:
Resources, conservation, and recycling 2022 v.186 pp. 106526
ISSN:
0921-3449
Subject:
data quality,   etc   ; databases; international trade; statistics; trade statistics;     Show all 5 Subjects
Abstract:
... International trade has been considered a critical driving force of material flows and their environmental pressures, which has been a global research hotspot. The United Nations Commodity Trade Statistics Database (UN Comtrade) is the original and probably the most widely-used data source to support the physical trade analysis. However, data discrepancies have been discovered in UN Comtrade, whic ...
DOI:
10.1016/j.resconrec.2022.106526

14. Detecting and Visualizing Observation Hot-Spots in Massive Volunteer-Contributed Geographic Data across Spatial Scales Using GPU-Accelerated Kernel Density Estimation

Author:
Guiming Zhang
Source:
ISPRS international journal of geo-information 2022 v.11 no.1 pp. -
ISSN:
2220-9964
Subject:
data quality,   etc   ; data analysis; spatial data; statistical analysis;     Show all 4 Subjects
Abstract:
... Volunteer-contributed geographic data (VGI) is an important source of geospatial big data that support research and applications. A major concern on VGI data quality is that the underlying observation processes are inherently biased. Detecting observation hot-spots thus helps better understand the bias. Enabled by the parallel kernel density estimation (KDE) computational tool that can run on mult ...
DOI:
10.3390/ijgi11010055

15. Source, fate, transport and modelling of selected emerging contaminants in the aquatic environment: Current status and future perspectives

Author:
Xuneng Tong; Sanjeeb Mohapatra; Jingjie Zhang; Ngoc Han Tran; Luhua You; Yiliang He; Karina Yew-Hoong Gin
Source:
Water research 2022 v.217 pp. 118418
ISSN:
0043-1354
Subject:
data quality,   etc   ; aquatic environment; drugs; perfluorocarbons; research; water;     Show all 6 Subjects
Abstract:
... The occurrence of emerging contaminants (ECs), such as pharmaceuticals and personal care products (PPCPs), perfluoroalkyl and polyfluoroalkyl substances (PFASs) and endocrine-disrupting chemicals (EDCs) in aquatic environments represent a major threat to water resources due to their potential risks to the ecosystem and humans even at trace levels. Mathematical modelling can be a useful tool as a c ...
DOI:
10.1016/j.watres.2022.118418

16. Cloud-based model-predictive-control of a battery storage system at a commercial site

Author:
M. Goldsworthy; T. Moore; M. Peristy; M. Grimeland
Source:
Applied energy 2022 pp. 120038
ISSN:
0306-2619
Subject:
data quality,   etc   ; algorithms; electricity; energy; lithium batteries; models;     Show all 6 Subjects
Abstract:
... Reducing costs for battery energy storage systems and the increasing availability of onsite generation sources are driving development of complex battery control algorithms principally aimed at minimising electricity costs. These algorithms combine forecasts of site consumption, generation and electricity costs and a model of the battery system in a solver that minimises a cost objective over some ...
DOI:
10.1016/j.apenergy.2022.120038

17. A Fast and Accurate Spatial Target Snapping Method for 3D Scene Modeling and Mapping in Mobile Augmented Reality

Author:
Kejia Huang; Chenliang Wang; Runying Liu; Guoxiong Chen
Source:
ISPRS international journal of geo-information 2022 v.11 no.1 pp. -
ISSN:
2220-9964
Subject:
data quality,   etc   ; algorithms; augmented reality; geometry; spatial data;     Show all 5 Subjects
Abstract:
... High-performance spatial target snapping is an essential function in 3D scene modeling and mapping that is widely used in mobile augmented reality (MAR). Spatial data snapping in a MAR system must be quick and accurate, while real-time human–computer interaction and drawing smoothness must also be ensured. In this paper, we analyze the advantages and disadvantages of several spatial data snapping ...
DOI:
10.3390/ijgi11010069

18. An Introduction to Some Concepts in Statistical Analysis and Quantitative Genetics for Sugarcane Breeding Programs

Author:
Phillip Jackson; Emily Deomano; Xianming Wei
Source:
Sugar tech 2022 v.24 no.1 pp. 298-319
ISSN:
0972-1525
Subject:
data quality,   etc   ; quantitative genetics; statistical analysis; sugarcane; sugars;     Show all 5 Subjects
Abstract:
... Application of statistical analysis and quantitative genetics varies among sugarcane breeding programs around the world. Some methods and concepts are difficult to understand for those without an educational background in statistics. This paper is mainly targeted at readers with little prior experience in statistical analysis and quantitative genetics and aims to encourage further study and applic ...
DOI:
10.1007/s12355-021-01071-6

19. Lockdown impacts on residential electricity demand in India: A data-driven and non-intrusive load monitoring study using Gaussian mixture models

Author:
Ramit Debnath; Ronita Bardhan; Ashwin Misra; Tianzhen Hong; Vida Rozite; Michael H. Ramage
Source:
Energy policy 2022 v.164 pp. 112886
ISSN:
0301-4215
Subject:
data quality,   etc   ; climate; electricity; energy; energy policy; India;     Show all 6 Subjects
Abstract:
... This study evaluates the effect of complete nationwide lockdown in 2020 on residential electricity demand across 13 Indian cities and the role of digitalisation using a public smart meter dataset. We undertake a data-driven approach to explore the energy impacts of work-from-home norms across five dwelling typologies. Our methodology includes climate correction, dimensionality reduction and machin ...
DOI:
10.1016/j.enpol.2022.112886

20. An investigation of how normalisation and local modelling techniques confound machine learning performance in a mental health study

Author:
Xinxin Zhang; Jimmy Lee; Wilson Wen Bin Goh
Source:
Heliyon 2022 v.8 no.5 pp. e09502
ISSN:
2405-8440
Subject:
data quality,   etc   ; biomarkers; genes; mental health; model validation;     Show all 5 Subjects
Abstract:
... Machine learning (ML) is increasingly deployed on biomedical studies for biomarker development (feature selection) and diagnostic/prognostic technologies (classification). While different ML techniques produce different feature sets and classification performances, less understood is how upstream data processing methods (e.g., normalisation) impact downstream analyses. Using a clinical mental heal ...
DOI:
10.1016/j.heliyon.2022.e09502