Preprints

Filtering by Subject: Social and Behavioral Sciences

Individual tree detection and characterization using 3D remote sensing

Mikko Vastaranta, Ninni Saarinen, Tuomas Yrttimaa, et al.

Published: 2020-04-11
Subjects: Forest Sciences, Geographic Information Sciences, Geography, Life Sciences, Remote Sensing, Social and Behavioral Sciences

Here, we will cover individual tree detection and characterization using 3D remote sensing. Simply, it means that point clouds are collected over a forested area using airborne laser scanning (ALS) or created using photogrammetric image interpretation and further used to detect individual trees using different algorithms. After the tree detection, the attributes of interest are predicted for each [...]

Introduction to geoinformation science

Mikko Vastaranta, Ninni Saarinen, Tuomas Yrttimaa, et al.

Published: 2020-04-11
Subjects: Forest Sciences, Geographic Information Sciences, Geography, Life Sciences, Social and Behavioral Sciences

Here, we define a geoinformation system (GIS) as a system, which is designed to capture, store, manipulate, analyze, manage, and present geospatial data. In university education, we study geoinformation science that is the science underlying geographic concepts, applications, and systems. Geoinformation science is dedicated to advancing our understanding of geographic processes and spatial [...]

Identification of Hydrologic Landscapes in Brazilian basins and its application as indicator of water yield and storage

Matheus Henrique Mortene, Ronalton Evandro Machado

Published: 2020-04-09
Subjects: Civil and Environmental Engineering, Engineering, Environmental Studies, Life Sciences, Other Civil and Environmental Engineering, Other Life Sciences, Social and Behavioral Sciences

This study aimed to use the Hydrologic Landscapes as environmental classification method in the Piracicaba, Capivari and Jundiaí river basins, validate and use it as an indicator of water yield and storage areas. The method comprises in the same Information Plan (IP) factors that interact with the hydrological cycle in its terrestrial phase. The state of São Paulo, where most of the area is [...]

Seismic electric signals (SES) and earthquakes: A review of an updated VAN method and competing hypotheses for SES generation and earthquake triggering

Daniel S. Helman

Published: 2020-04-07
Subjects: Civil and Environmental Engineering, Earth Sciences, Engineering, Environmental Studies, Geology, Geophysics and Seismology, Physical Sciences and Mathematics, Planetary Geophysics and Seismology, Planetary Sciences, Social and Behavioral Sciences

Electromagnetic phenomena are sometimes associated with seismic events, but earthquake prediction using seismic electric signals (SES) has not been seriously considered since the early 1990s. There are several causes: (1) false alarms that have created panics in Greece, and (2) a strong critique of the Varotsos-Alexopoulos-Nomicos (VAN) method used there. An updated VAN method that includes time [...]

POSSIBILITIES OF CHANGE DETECTION OF TREE AND FOREST ATTRIBUTES BY COMBINING TERRESTRIAL LASER SCANNING BASED 3D POINT CLOUDS WITH UAV DATA

Ville Luoma, Tuomas Yrttimaa, Ville Kankare, et al.

Published: 2020-04-01
Subjects: Forest Management, Forest Sciences, Geography, Life Sciences, Remote Sensing, Social and Behavioral Sciences

Exact and up-to-date information about forest resources is needed for decision makers when planning the use of forests. Knowledge about changes in forest environment and tree growth is a key factor for example when predicting the effects of climate change and estimating the amount of biomass and sequestered carbon in forests. New technologies, such as unmanned aerial vehicles (UAVs), allow one to [...]

International disparities in open access practices of the Earth Sciences community

Olivier Pourret, David William Hedding, Dasapta Erwin Irawan, et al.

Published: 2020-03-31
Subjects: Biogeochemistry, Cosmochemistry, Earth Sciences, Geochemistry, Geology, Geomorphology, Geophysics and Seismology, Glaciology, Hydrology, Library and Information Science, Mineral Physics, Other Earth Sciences, Paleobiology, Paleontology, Physical Sciences and Mathematics, Sedimentology, Social and Behavioral Sciences, Soil Science, Speleology, Stratigraphy, Tectonics and Structure, Volcanology

Short communication on international disparities in open access practices of the Earth Sciences community

On the potential of preprints in geochemistry: the good, the bad and the ugly

Olivier Pourret, Dasapta Erwin Irawan, Jonathan Tennant

Published: 2020-03-21
Subjects: Biogeochemistry, Cosmochemistry, Earth Sciences, Geochemistry, Library and Information Science, Physical Sciences and Mathematics, Social and Behavioral Sciences

Short communication on the use of preprint in geochemistry

Editorial: Geoscience in a time of pandemics

Jonathan Tennant, Sam Illingworth, Iain Simpson Stewart, et al.

Published: 2020-03-20
Subjects: Earth Sciences, Geography, Medical Sciences, Medicine and Health Sciences, Physical Sciences and Mathematics, Social and Behavioral Sciences

We, the Executive Editors at Geoscience Communication, sincerely hope that this message finds you and your loved ones in good health. We are in the midst of yet another global health crisis, the Coronavirus pandemic (COVID-19). This affects all of us, and we truly hope that you are remaining safe and taking all necessary precautions. We all are facing difficult times ahead, and we hope that we [...]

Integrating UAV photogrammetry with terrestrial laser scanning to characterize managed forest stands

Tuomas Yrttimaa, Ninni Saarinen, Ville Kankare, et al.

Published: 2020-03-03
Subjects: Forest Sciences, Geography, Life Sciences, Remote Sensing, Social and Behavioral Sciences

Terrestrial laser scanning (TLS) provides detailed three-dimensional representation of the surrounding forest structure. However, due to close-range hemispherical scanning geometry the ability of TLS technique to comprehensively characterize the upper parts of forest canopy is often limited. To overcome challenges in upper canopy characterization, TLS point cloud were complemented with a point [...]

The what, how and why of human coprolite analysis in archaeology

Lisa-Marie Shillito, John C. Blong, Eleanor Green, et al.

Published: 2020-02-06
Subjects: Earth Sciences, Environmental Sciences, Environmental Studies, Life Sciences, Other Earth Sciences, Physical Sciences and Mathematics, Social and Behavioral Sciences

Coprolites are a highly informative but still underutilized proxy for understanding past environments, palaeodiets, and ancient human health. Here we provide a critical review of the history and current state of research in human coprolite analysis encompassing, macroscopic, microscopic, and biomolecular approaches. We present new data from a number of key sites which demonstrates how new [...]

‘Scallywag Bunkers’: Geophysical Investigations of WW2 Auxiliary Unit Operational Bases (OBs) in the UK

Jamie K Pringle, Peter Doyle, Kristopher D Wisniewski, et al.

Published: 2020-02-05
Subjects: Earth Sciences, Education, Geography, Other Earth Sciences, Other Physical Sciences and Mathematics, Physical Sciences and Mathematics, Social and Behavioral Sciences

In 1940, with the fall of France imminent, Britain prepared for invasion. After Dunkirk, with most armour and transport lost, a defence ‘stop line’ (GHQ Line) was prepared. Local Defence Volunteers (later Home Guard) were raised to buy time for the Home Army to deploy. Secret ‘Auxiliary Units’ were also formed, tasked with ‘Scallywagging’ – guerrilla activities ––in the invading army’s rear. 4-8 [...]

Risk Assessment for Scientific Data

Matt Mayernik, Kelsey Breseman, Robert R. Downs, et al.

Published: 2020-01-09
Subjects: Earth Sciences, Library and Information Science, Oceanography and Atmospheric Sciences and Meteorology, Physical Sciences and Mathematics, Social and Behavioral Sciences

This is a preprint draft of the paper that was officially published in the Data Science Journal. Please quote from the published version: http://doi.org/10.5334/dsj-2020-010. Abstract: Ongoing stewardship is required to keep data collections and archives in existence. Scientific data collections may face a range of risk factors that could hinder, constrain, or limit current or future data use. [...]

Economic incentives for raising coastal flood defenses in Europe

Michalis Vousdoukas, Lorenzo Mentaschi, Juan Carlos Ciscar, et al.

Published: 2020-01-09
Subjects: Environmental Studies, Social and Behavioral Sciences

Extreme sea levels (ESLs) in Europe could rise by as much as one meter or more due to climate change by the end of this century. Without adaptation measures, annual damages from coastal flooding in Europe could increase sharply from €1.4 billion nowadays to at least €90 billion by 2100. While damages will be lower than those figures as countries continue to protect their coast, there has been no [...]

Coastal flooding will disproportionately impact people on river deltas

Doug Edmonds

Published: 2020-01-09
Subjects: Earth Sciences, Environmental Studies, Geography, Physical and Environmental Geography, Physical Sciences and Mathematics, Social and Behavioral Sciences

Climate change is intensifying tropical cyclones, accelerating sea-level rise, and increasing coastal flooding. Coastal flooding will not affect all environments equally, and river deltas are especially vulnerable because of their low elevations, densely populated cities, and river channels that propagate coastal floods inland. Yet, we do not know how many people live on deltas and their exposure [...]

The economic implications of using a truly preindustrial climate baseline

Dmitry Yumashev, Christopher M Brierley

Published: 2019-12-04
Subjects: Climate, Geography, Human Geography, Oceanography and Atmospheric Sciences and Meteorology, Physical Sciences and Mathematics, Social and Behavioral Sciences

The pervasive impacts of climate change can result in scientific decisions having unforeseen societal implications. To demonstrate this, we explore the global and regional economic implications of adopting an earlier preindustrial baseline of 1400-1800 for climate policy targets instead of the commonly used early industrial period of 1850-1900 for which we have observational data. Because of [...]

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