scholarly journals The Use of LiDAR Terrain Data in Characterizing Surface Roughness and Microtopography

2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Kristen M. Brubaker ◽  
Wayne L. Myers ◽  
Patrick J. Drohan ◽  
Douglas A. Miller ◽  
Elizabeth W. Boyer
Keyword(s):  
Standard Deviation ◽  
Initial Point ◽  
Geographic Area ◽  
Stream Channels ◽  
New Era ◽  
Data Resolution ◽  
Point Density ◽  
Large Geographic Area ◽  
Research Grade ◽  
The Difference

The availability of light detection and ranging data (LiDAR) has resulted in a new era of landscape analysis. For example, improvements in LiDAR data resolution may make it possible to accurately model microtopography over a large geographic area; however, data resolution and processing costs versus resulting accuracy may be too costly. We examined two LiDAR datasets of differing resolutions, a low point density (0.714 points/m2spacing) 1 m DEM available statewide in Pennsylvania and a high point density (10.28 points/m2spacing) 1 m DEM research-grade DEM, and compared the calculated roughness between both resulting DEMs using standard deviation of slope, standard deviation of curvature, a pit fill index, and the difference between a smoothed splined surface and the original DEM. These results were then compared to field-surveyed plots and transects of microterrain. Using both datasets, patterns of roughness were identified, which were associated with different landforms derived from hydrogeomorphic features such as stream channels, gullies, and depressions. Lowland areas tended to have the highest roughness values for all methods, with other areas showing distinctive patterns of roughness values across metrics. However, our results suggest that the high-resolution research-grade LiDAR did not improve roughness modeling in comparison to the coarser statewide LiDAR. We conclude that resolution and initial point density may not be as important as the algorithm and methodology used to generate a LiDAR-derived DEM for roughness modeling purposes.

scholarly journals The Effect of LiDAR Sampling Density on DTM Accuracy for Areas with Heavy Forest Cover

Forests ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 265
Author(s):  
Mihnea Cățeanu ◽  
Arcadie Ciubotaru
Keyword(s):  
Forest Cover ◽  
Initial Point ◽  
Ground Surface ◽  
Digital Terrain Model ◽  
Morphological Data ◽  
Sampling Density ◽  
Terrain Model ◽  
Digital Terrain ◽  
Point Density ◽  
The Impact

Laser scanning via LiDAR is a powerful technique for collecting data necessary for Digital Terrain Model (DTM) generation, even in densely forested areas. LiDAR observations located at the ground level can be separated from the initial point cloud and used as input for the generation of a Digital Terrain Model (DTM) via interpolation. This paper proposes a quantitative analysis of the accuracy of DTMs (and derived slope maps) obtained from LiDAR data and is focused on conditions common to most forestry activities (rough, steep terrain with forest cover). Three interpolation algorithms were tested: Inverse Distance Weighted (IDW), Natural Neighbour (NN) and Thin-Plate Spline (TPS). Research was mainly focused on the issue of point data density. To analyze its impact on the quality of ground surface modelling, the density of the filtered data set was artificially lowered (from 0.89 to 0.09 points/m2) by randomly removing point observations in 10% increments. This provides a comprehensive method of evaluating the impact of LiDAR ground point density on DTM accuracy. While the reduction of point density leads to a less accurate DTM in all cases (as expected), the exact pattern varies by algorithm. The accuracy of the LiDAR-derived DTMs is relatively good even when LiDAR sampling density is reduced to 0.40–0.50 points/m2 (50–60 % of the initial point density), as long as a suitable interpolation algorithm is used (as IDW proved to be less resilient to density reductions below approximately 0.60 points/m2). In the case of slope estimation, the pattern is relatively similar, except the difference in accuracy between IDW and the other two algorithms is even more pronounced than in the case of DTM accuracy. Based on this research, we conclude that LiDAR is an adequate method for collecting morphological data necessary for modelling the ground surface, even when the sampling density is significantly reduced.

A widespread decrease in productivity of sockeye salmon (Oncorhynchus nerka) populations in western North America

2012 ◽  
Vol 69 (8) ◽  
pp. 1255-1260 ◽  
Author(s):  
Randall M. Peterman ◽  
Brigitte Dorner
Keyword(s):  
Sockeye Salmon ◽  
Spatial Scales ◽  
Oncorhynchus Nerka ◽  
Geographic Area ◽  
Fraser River ◽  
Western North America ◽  
Southeast Alaska ◽  
The Past ◽  
Large Geographic Area ◽  
Marine Areas

We used data on 64 stocks of sockeye salmon ( Oncorhynchus nerka ) from British Columbia (B.C.), Washington, and Alaska to determine whether recent decreases in abundance and productivity observed for Fraser River, B.C., sockeye have occurred more widely. We found that decreasing time trends in productivity have occurred across a large geographic area ranging from Washington, B.C., southeast Alaska, and up through the Yakutat peninsula, Alaska, but not in central and western Alaska. Furthermore, a pattern of predominantly shared trends across southern stocks and opposite trends between them and stocks from western Alaska was present in the past (1950–1985), but correlations have intensified since then. The spatial extent of declining productivity of sockeye salmon has important implications for management as well as research into potential causes of the declines. Further research should focus on mechanisms that operate at large, multiregional spatial scales, and (or) in marine areas where numerous correlated sockeye stocks overlap.

scholarly journals 505 Support Group Lives on Virtually Despite Pandemic

2021 ◽  
Vol 42 (Supplement_1) ◽  
pp. S99-S100
Author(s):  
Lyndsay Deeter ◽  
Rebecca Garber
Keyword(s):  
Support Group ◽  
Geographic Area ◽  
Staff Members ◽  
Burn Survivors ◽  
It Support ◽  
Large Geographic Area ◽  
State Region ◽  
Host Organization ◽  
Virtual Support ◽  
Safety Guidelines

Abstract Introduction Support group for burn survivors is immensely beneficial for reintegration and normalization of the burn recovery. The corona virus pandemic, however, limited in-person interactions significantly and decreased the travel capabilities. Our regional burn center serves an 8-state region, and as such, our every other month in-person support group consisted of survivors and family members from a large geographic area. Methods Support group volunteers and staff members recognized the need for continued support of survivors during the pandemic. Limitations of large, in-person meetings were implemented by our host organization to comply with pandemic safety guidelines. Evaluation of resources available led to development of a virtually supported meeting space. Email addresses were gathered to schedule. This allowed for interaction of survivors from an unlimited geographic area. Results Support group survivor volunteers and staff met to develop parameters, topics, IT support and logistics. Every other month support group was converted to a monthly gathering virtually due to easier access by survivors. Attendees completed a survey to evaluate and make recommendations for opportunities for improvement. The same number of survivors were present for in person and virtual meetings. Conclusions During this pandemic, limitations were placed that further isolate survivors. A virtually based support group has allowed for more frequent interactions between volunteers and new survivors. Various topics were discussed including survivor preparedness for public reintegration, worker’s compensation and care giver burnout. Speakers from multiple disciplines have been able to address issues requested by survivors. In this format, we have been able to continue the support of our survivors as they continue to recover. Social distancing has isolated many people during the pandemic; virtual support group has been paramount in continuing to connect our survivor family.

scholarly journals Synthesis of Plans to Increase the Results of Ordinary National Education Test by All-Round Tutoring Process for Primary School Grade 6

2021 ◽  
Vol 14 (2) ◽  
pp. 63
Author(s):  
Nuttakan Pakprod ◽  
Kanokrat Jirasatjanukul ◽  
Damrong Tumthong ◽  
Prapa Amklad ◽  
Wipa Lekchom
Keyword(s):  
Standard Deviation ◽  
Primary School ◽  
Target Group ◽  
Educational Testing ◽  
School Grade ◽  
National Education ◽  
Standard Deviations ◽  
The Difference ◽  
High Level ◽  
Basic Level

The objective of this research is to study the results of activities to increase the scores of Ordinary National Education Test. Cluster; teachers of Phetchaburi Rajabhat University comparing the results of Ordinary National Education Test in 2017-2018 and studying the satisfaction of the activities. The target group is 49 schools in Phetchaburi and Prachuap Khiri Khan Provinces, data were analyzed using mean and standard deviation. The study found that the difference of the scores of the Ordinary National Education Test was higher in 32 schools and there is a difference in scores of Ordinary National Education Test tests lower by 2 schools, representing 94.12, with the satisfaction of the participation in the activity of increasing the basic educational testing at the basic level is at a high level with an average of 4.22, standard deviations 0.73, which the participants are satisfied with the process. The process of organizing activities was at the highest with an average of 4.28, standard deviations 0.76 and continues organizing activities to increase the scores of Ordinary National Education Test.

scholarly journals The Sensitivity of Wellbeing to Inequalities in Local Wellbeing

2021 ◽  
Author(s):  
◽  
Pascarn Ronald Dickinson
Keyword(s):  
New Zealand ◽  
Standard Deviation ◽  
Local Government ◽  
Subjective Wellbeing ◽  
General Social Survey ◽  
Negative Relationship ◽  
Cross Sectional ◽  
Underlying Causes ◽  
Important Addition ◽  
The Difference

<p>Research points to a robust negative relationship between average levels of subjective wellbeing and the distribution of subjective wellbeing. The fact that our wellbeing falls as wellbeing distributions widen suggests we care about inequalities in the lives of others. Central to this relationship is the role of place and human geography. The literature relating wellbeing to inequality in wellbeing is confined almost exclusively to inter-country comparisons. Virtually no attention has been paid to the relationship between wellbeing and inequality within countries - at the level of regions and below. The aim of this thesis is to test the generality of the inter-country evidence in the sub-national context.  I present four hypotheses which I test on three separate cross-sectional surveys: the New Zealand Quality of Life Survey, The New Zealand General Social Survey and the survey of Māori wellbeing, Te Kupenga. I follow the literature in using the standard deviation of wellbeing as a measure of wellbeing inequality. In each case the negative relationship between individual wellbeing and wellbeing inequality is clearly identifiable. The wellbeing effect of living in a place one standard deviation higher than another is roughly equivalent to the difference between the wellbeing of someone who is fully employed and someone who is unemployed and looking for work. Clearly we are highly sensitive to disparities in the subjective wellbeing of those around us.  I conduct several tests of the psychological drivers that lie behind the wellbeing response to local inequality in wellbeing. The first tests fairness perceptions, and finds sensitivity to wellbeing inequality to be higher among those who do not believe society is intrinsically fair. My test of altruism, while not as convincing empirically, suggests altruistic people may also be less affected by local wellbeing inequality. Both conclusions are consistent with the implied causation running from inequality to wellbeing.  While an important addition to the wellbeing literature, the more important implication of my findings is political. As the New Zealand Local Government Act comes up for renewal, the evidence I have assembled strongly supports providing local government with a clear purpose and the necessary funding to address the underlying causes of local inequalities in wellbeing. On empirical grounds alone, reducing wellbeing inequality is likely to make us all much happier.</p>

scholarly journals Study of outcome of the treatment with intravenous iron sucrose in moderately anaemic pregnant women

2019 ◽  
Vol 8 (9) ◽  
pp. 3480
Author(s):  
Kohila Kalimuthu ◽  
Vanusha Avudaithangam
Keyword(s):  
Standard Deviation ◽  
Iron Deficiency ◽  
Pregnant Women ◽  
Iron Deficiency Anaemia ◽  
Intravenous Iron ◽  
Iron Sucrose ◽  
P Value ◽  
Deficiency Anaemia ◽  
The Mean ◽  
The Difference

Background: Moderate anaemia seen in about 15-20% of pregnant women. Iron sucrose complex which is used intravenously for the correction of Iron deficiency anaemia. The drug has been able to raise the haemoglobin to satisfactory level when used in moderately anaemic iron deficient pregnant women. The objective of this study was to study the improvement of Hb% after treatment with intravenous Iron sucrose complex in moderately anaemic pregnant women belonging to 24-32 weeks of gestational age.Methods: 50 antenatal patients between gestational age 24-32 weeks with hemoglobin between 8-9.5g/dl were selected and included in this study. They were subjected to blood hemoglobin estimation, hematocrit and peripheral smear study. In each infusion, the maximum total dose administered was 200 mg iron sucrose in 100 ml of normal saline, slow IV infused over 30 minutes. Monitoring was done throughout the infusion to observe for any side effects.Results: Mean hemoglobin among the 50 patients before starting the therapy was 8.172g/dl and the mean hemoglobin at the end of one month of completing the therapy was 11.066g/dl. The rise in mean hemoglobin i.e. the difference in the mean hemoglobin before and after treatment was 2.894g/dl. The p value is 0.0001 which is statistically significant. The mean hematocrit of the 50 patients studied before starting the treatment was 26.772% with a standard deviation of 1.914. The mean hematocrit after completing the therapy was 33.872% with a standard deviation of 1.321. The difference in the mean hematocrit was 7.100% with a p value of 0.0001 which is statistically significant.Conclusions: Intravenous iron sucrose complex is well tolerated and highly efficacious in improving hemoglobin, hematocrit in the treatment of iron deficiency anaemia in antenatal women.

scholarly journals Efektivitas Exercise Intradialisis Menggunakan Barbell dan Range of Motion (ROM) terhadap Adekuasi Hemodialisa pada Pasien Penyakit Ginjal Kronik

2019 ◽  
Vol 2 (2) ◽  
pp. 189-200
Author(s):  
Yestiani Norita Joni ◽  
Busjra M Nur ◽  
Fitrian Rayasari
Keyword(s):  
Chronic Kidney Disease ◽  
Standard Deviation ◽  
Range Of Motion ◽  
Intervention Group ◽  
Control Design ◽  
P Value ◽  
Significant Difference ◽  
Post Test ◽  
The Difference ◽  
Keywords Hemodialysis

The purpose of this study is to know the effectiveness of intradialysis exercise using barbells and Range of Motion (ROM) on the adequacy of hemodialysis in patients with chronic kidney disease in the hemodialysis room of RSIJ Sukapura in 2018. The design of this study uses a design with non-probability pre and post test two groups without control design . The result of the difference in the effectiveness of the adequacy values between the two intervention groups after the intervention was given was the barbell intervention obtained 1,33 with a standard deviation of 0.485, an error standard of 0.114. Whereas in the ROM intervention group 1.67 the standard deviation was 0.485, the standard error was 0.114 and the p-value was 0.047 (> 0.05). Conclusion, there was no significant difference in the value of hemodialysis adequacy between the barbellROM intervention groups after the intervention.   Keywords: Hemodialysis Adequacy, Barbell, Exercise Effectiveness, Intradialysis, Range Of Motion (ROM)

Effects of Covid-19 Pandemy Over Maritime Transport: An Evaluation of Supply-demand Balance

2021 ◽  
Vol 8 (12) ◽  
pp. 83-97
Author(s):  
Murat Danisman ◽  
Erkut Akkartal
Keyword(s):  
Service Sector ◽  
Geographic Area ◽  
Maritime Transportation ◽  
Spreading Speed ◽  
Maritime Transport ◽  
Service Companies ◽  
Large Geographic Area ◽  
The One ◽  
Short Time ◽  
Freight Market

This research aims to examine the covid-19 pandemic measurements taken in maritime transport and their possible effects on the supply-demand equilibrium and consequently on the freight market. Covid-19 virus which infected quite large geographic area and people within very short time affects negatively not only every part of our life but also the production and service sector within the globalised world.  This is mainly because the future tendency and further effects of this virus are unpredictable. Because of that, most countries are focused firstly on measurements to be taken to reduce the spreading speed of the virus. Although measurements and restrictions seem reduced spreading speed in some countries in short term, those measurements increase the operating costs of production and service companies. On the one hand reduction on cargo movements due to low demand and increasing operation cost due to measurements, have effected the supply-demand equilibrium of maritime transportation. This research examined the effects of already taken and could be revised measurements due to the present situation and possible future tendency of covid-19, and its consequential results on the freight market.

EVALUATION OF QUALITY OF POULTRY FEEDS SOLD IN KATSINA METROPOLIS, KATSINA STATE, NIGERIA

2021 ◽  
Vol 5 (1) ◽  
pp. 601-607
Author(s):  
A. U. Uduma ◽  
Joseph Akumah Ojogba ◽  
O. E. Okafor
Keyword(s):  
Standard Deviation ◽  
Crude Protein ◽  
Proximate Analysis ◽  
Crude Protein Content ◽  
Poultry Feeds ◽  
Crude Fiber Content ◽  
Percent Moisture ◽  
The Mean ◽  
The Difference

In Katsina metropolitan, a variety of poultry feeds are available, and the quality and standards of these feeds are critical for the production of eggs and meat. As a result, the quality of selected chicken feeds sold in Katsina metropolitan was assessed by performing proximate analysis using AOAC methodology. Super starter, grower concentrate, broiler finisher, broiler starter, broiler super starter, layer mesh, grower mesh, and layer concentrate were among the samples used. The percentage mean to standard deviation was used to express the findings. The crude protein content of the diets studied ranged from 0.46 ± 0.00 percent to, 8.24± 0.02 percent, ash content 6.31± 0.01 percent – 33.30± 0.04 percent, crude fiber content 1.03 ±0.00 percent – 3.21± 0.00 percent, lipid content 0.11± 0.00 percent, 2.30 ±0.00 percent, moisture content 4.28 ±0.25 – 6.66 ±0.78 percent, and carbohydrate content 51.78± 2.68 – 83.72 ±0.57 percent. Although there was variation in the mean and standard deviation levels among the samples analyzed, such variations were not statistically significant (P>0.05) according to a one-way analysis of variance (ANOVA) for the difference in the mean levels of parameters evaluated in eight samples

Evolving the Security Paradigm for Industrial IoT Environments

2020 ◽  
pp. 69-90
Author(s):  
Luis Rosa ◽  
Miguel Borges de Freitas ◽  
João Henriques ◽  
Pedro Quitério ◽  
Filipe Caldeira ◽  
...  
Keyword(s):  
Industry 4.0 ◽  
Detection System ◽  
Geographic Area ◽  
Platform Architecture ◽  
Industrial Iot ◽  
Automation And Control ◽  
Large Geographic Area ◽  
And Control ◽  
Detection Evaluation ◽  
Anomaly Detection System

In recent years, IACS (Industrial Automation and Control Systems) have become more complex, due to the increasing number of interconnected devices. This IoT (internet of things)-centric IACS paradigm, which is at the core of the Industry 4.0 concept, expands the infrastructure boundaries beyond the aggregated-plant, mono-operator vision, being dispersed over a large geographic area. From a cybersecurity-centric perspective, the distributed nature of modern IACS makes it difficult not only to understand the nature of incidents but also to assess their progression and threat profile. Defending against those threats is becoming increasingly difficult, requiring orchestrated and collaborative distributed detection, evaluation, and reaction capabilities beyond the scope of a single entity. This chapter presents the Intrusion and Anomaly Detection System platform architecture that was designed and developed within the scope of the ATENA H2020 project, to address the specific needs of distributed IACS while providing (near) real-time cybersecurity awareness.

Sign in / Sign up

Export Citation Format

Share Document