bluuebunny/crossref_metadata_2025_split huggingface dataset:
Copernicus Climate Change Service
Authors: Buontempo Carlo , Thépaut Jean-Noël , Bergeron Cédric 
Published: July 2020

Abstract
The Anthropocene represents discontinuity in the tight connection that has always linked survival of human societies to the environment around them. But alongside the undeniable human-induced alteration of the global environment the last couple of centuries have given humans an unprecedented ability to monitor, simulate and predict the climate around us.
It is over the course of the last two centuries that technological developments have allowed society to both alter the environment on a global scale and predict how the earth system responds to external and internal changes. Such a set of circumstances calls for a profound rethink of the relationship mankind has with the planet, something that would be impossible without a systematic, and operational production of datasets, tools and information about the past, current and future status of the global climate. Copernicus Climate Change Service aims to fill this gap whilst promoting the transition towards a climate smart society.
Wide-area observations of surface deformation in Mexican urban areas and geothermal fields using ENVISAT InSAR
Authors: Cigna F , Tapete D , Muñiz-Jauregui J A , Garduño-Monroy V H , García O , Jiménez-Haro A 
Published: July 2020

Abstract
There is an increasingly growing literature on the use of advanced multi-temporal Interferometric Synthetic Aperture Radar (InSAR) to monitor surface deformation with millimeter precision in urban and rural environments, including applications over wide areas spanning hundreds to thousands of square kilometers. In this work, we survey the eastern sector of the Trans-Mexican Volcanic Belt, extending from the state of Hidalgo, through Tlaxcala, Puebla and up to Veracruz, for a total of 19,000 km2. The surveyed area includes both the geothermal exploration site of the Acoculco caldera complex, and Los Humeros geothermal field, one of the largest geothermal exploitation sites of Mexico. Using the multi-temporal Small BAseline Subset (SBAS) InSAR method, we process the whole ENVISAT Advanced SAR (ASAR) IS2 image archive acquired in 2003-2010. Estimated subsidence rates are as high as 3.1 cm/year within the region, and a number of land deformation hotspots are identified within the urban areas of Tulancingo, Tlaxcala and Apizaco, the Tecamachalco valley, as well as within Los Humeros caldera. The surveying of such a scientifically interesting test region provides a proof of concept on how to investigate natural and anthropogenic processes in urban and rural areas using big SAR datasets and InSAR methods.
Grasping the global with Digital Earth
Authors: Fargher M 
Published: July 2020

Abstract
This study examined the extent to which adopting a more subject-led approach to teaching with the interactive geospatial tool, the Climate HotMap, can enhance geographical knowledge and understanding of climate change. Findings showed the significance of teachers paying more attention to geography’s central concepts of place, space, interconnection and environment in understanding the impact of climate change on local places but also on the relations between places in the bigger global climate change picture.
Electricity demand monitoring in Japan by using time-series DMSP stable lights images and its application to long-term damage assessment of natural disasters
Authors: Man Duc Chuc , Hiromichi Fukui 
Published: July 2020

Abstract
This paper demonstrates the potential of the Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS) stable light imagery for electricity power consumption (EPC) estimation in Japan and long-term damage assessment of natural disasters in term of yearly EPC fluctuation, taking the Japan Earthquake & Tsunami of 2011 as a case study. DMSP stable light data is proved useful for estimation of the economic variables. However, there are several well-known problems with the DMSP including lack of on-board calibration, geometric error, sensor saturation. Many researches have been conducted to develop methods for inter-calibration and saturation correction of DMSP stable light data, but much less effort on geometric correction which should be the first in the pre-processing chain. In term of disaster management, the 2011 Great Earthquake & Tsunami in Japan had severe instant and long-term damages, and DMSP data is potential for long-term damage assessment for the region. In this study, we have: (1) developed a new geometric correction method for DMSP stable light images; (2) developed an EPC estimation method from corrected DMSP data which is then used to derive electricity demand maps for Japan from 1992-2013; (3) performed analysis of correlations between DMSP night light data and GDP and population in Japan; (4) conducted a long-term damage assessment of the Japan Earthquake & Tsunami of 2011 by using the EPC maps in (2). It is found that the proposed geometric correction method gave better correlations between DMSP stable light images of the same year as compared to those of original images and most recent shift-based geometric correction method. Damage assessment reveals that an area of 286.208 km-squared has suffered from the disasters. It caused the EPC of the area drop significantly in 2011 (-42%) and to its lowest level in 2012 (-78%) before starting its recover in 2013.
Assessing below-ground carbon and nitrogen accumulation of green infrastructure using machine learning methods, targeting sub-tropical bioretention basins
Authors: Kavehei Emad , Karim Abdul , Jenkins Graham , Adame Fernanda , Sattar Abdul , Desha Cheryl 
Published: July 2020

Abstract
This study presents an assessment of below-ground carbon dynamics of green infrastructure using artificial intelligence, targeting sub-tropical bioretention basins in South East Queensland, Australia. This extended abstract describes the context for the study and the significance of the work, which was recognised and enabled through the international Microsoft Artificial Intelligence (AI) for Earth Grants (2018 Grant winner). Four different scenarios were tested with three different approaches for modelling of the regression values. The three different machine learning methods were applied to predict belowground carbon and nitrogen, based on soil physical characteristics data entry. The neural network model performed better in predicting both the carbon and nitrogen concentration in all the scenarios. The implication of this study provides a profound shift in the type of platform that can be used, wherein machine learning methods can assist decision-makers in finding low-cost proxies for measuring carbon and nitrogen capture in bioretention basins.
EarthDataMiner: A Cloud-Based Big Earth Data Intelligence Analysis Platform
Authors: Liu Jie , Wang Wei , Zhong Hua 
Published: July 2020

Abstract
Big Earth data mining analysis involves complex data processing, pattern extraction and knowledge discovery processes, and requires easy to use integrated software tools to deal with large-scale data. With the support of Big Earth Data Science Engineering Project (CASEarth) of the Chinese Academy of Sciences Strategic Priority Research Program, our team are ongoing developing EarthDataMiner, a cloud-based Big Earth data intelligence analysis platform for scientists in the field of Earth sciences, which brings together cross-domain common models, introduces advanced artificial intelligence algorithms, supports online satellite imagery visually interactive analysis,and achieves efficient task processing through a series of distributed execution systems.
Near real-time detection of abnormal vessels’ behaviours and vessel sourced pollution in Sri Lanka’s maritime zones: An investigation
Authors: Mahindapala W K M 
Published: July 2020

Abstract
The largest ecosystems on Earth are the oceans and it is essential to conserve and sustainably use these vital resources. Waste created by the activities on land and sea, leads to the destruction of the ecosystems. As Sri Lanka is an island in the Indian Ocean, with rights to a vast sea area that extends from the shores, it is mandatory to sustainably manage its marine environment. Regular, systematic reviews of the state of marine environment provide an understanding of the various aspects of marine environment change and the implications for sustainability. Space borne platforms provide Earth observation data collected by different types of sensors, at regular intervals for the management of Earth environment. Earth observation data acquired with Synthetic Aperture Radar (SAR) technology has become useful for the detection of marine pollution during the day and night, regardless of cloud covers. However, availability of near real-time data is important for prompt detection and response. Revisit time of a satellite is an important factor and satellite constellations are used to further improve revisit times, for example, Copernicus Sentinel-1 satellite constellation can provide SAR data with a high revisit time. The research aims to explore the use of near real-time Sentinel-1 SAR data with automated mechanisms, for information extraction that supports early detection of abnormal vessels’ behaviours and vessel sourced pollution in Sri Lanka’s maritime zones.
Community-oriented Sharing Platforms in Space 4.0
Authors: Marin A , Alonso I , Romeo A , Patruno J , Barchetta F , Leonardi M , Sacramento P , Landgraf G , Vermeulen E P M 
Published: July 2020

Abstract
Space 4.0 will bring an enormous wealth of data about our Earth that needs to be well exploited. But how do we bring this wealth to citizens? Space 4.0 is also about the best use of Big Data approaches and the use of the digital information economy as a powerful tool to bring information to citizens. Digital platforms have to excel on 3 main pillars [1]: Technology, Content and Culture. The Thematic Exploitation Platforms (TEPs) are operational today for the Urban, Forestry, Coastal, Hydrology, Food Security, Polar & Geohazards communities. These platforms provide scientists, commercial operators and citizens with an environment where they can share their questions, analysis, results through their investigation, algorithms, products to find new solutions for a better and safer world.
Digital image improvement by integrating mages of different resolutions
Authors: Scarmana Gabriel 
Published: July 2020

Abstract
This proof of concept paper evaluates the performance of super-resolution (SR) imaging when combining a sequence of images of different resolutions. Traditional work in SR requires accurate sub-pixel registration and/or alignment techniques. The assumption is that all the frames in the sequence are captured with a random sub-pixel translation and at the same spatial resolution. However, if there is no relative motion between the scene and the sensor, the super-resolution problem can be approached by integrating images of different resolutions using the image re-sampling ratios as the enhancing factor. This may be the case of using digital zooms whereby a scene of interest is enhanced by integrating the information obtained from capturing said scene at different zoom levels.
Preliminary results of conducting tests on synthetic and real data (scanned images) are presented. In both cases the process under-samples the image of an object of interest within a scene at different resolutions. By integrating these images using an algebraic process an improved composite is obtained containing more spatial information than that provided by simply interpolating on a single image.
GROW Citizens’ Observatory: Leveraging the power of citizens, open data and technology to generate engagement, and action on soil policy and soil moisture monitoring
Authors: Woods M , Hemment D , Ajates R , Cobley A , Xaver A , Konstantakopoulos G 
Published: July 2020

Abstract
Citizens’ Observatories (COs) seek to extend conventional citizen science (CS) activities to scale up the potential of citizen sensing for environmental monitoring and creation of open datasets, knowledge and action around environmental issues, both local and global. The GROW CO has connected the planetary dimension of satellites with the hyperlocal context of farmers and their soil. GROW has faced three main interrelated challenges associated with each of the three core audiences of the observatory, namely citizens, scientists and policy makers: one is sustained citizen engagement, quality assurance of citizen-generated data and the challenge to move from data to action in practice and policy. We discuss how each of these challenges were overcome and gave way to the following related project outputs: 1) Contributing to satellite validation and enhancing the collective intelligence of GEOSS 2) Dynamic maps and visualisations for growers, scientists and policy makers 3) Social-technical innovations data art.
Challenges and Opportunities in Establishing China Infrastructure for Big Biodiversity Data
Authors: Zhu Li , Ma Keping 
Published: July 2020

Abstract
High-quality biodiversity data are the scientific basis for understanding the origin, sustainable utility of biodiversity and dealing with its extinction risk. Gathering big data of biodiversity and mining novel discoveries cross disciplines will lead to the change of the way how life system should be understood, and how biodiversity resources should be utilized sustainably. Therefore, to establish an infrastructure for the big biodiversity data in China is urgently needed. This infrastructure (BioONE) incorporates big biodiversity data from both macro and micro scales, and integrate data service and data mining system. It incorporates BioDatasets, BioMapping, Biotools, BioSevices and BioKnowledge systems. The BioDatasets integrated palaeontology, genomics, traits, taxonomy and habitats. The BioMapping data that come from geography, climatology, remote sensing, environmental science and economy are also included as a comprehensive rasterized dataset being available to the public. It could provide standardized visualization services to our governments to promote the conservation of biodiversity resources and ecological safety. These services will also contribute greatly to exploring the frontiers in the advancement of the biodiversity scientific discoveries and innovations, providing fundamental data products for fulfilling the international biodiversity obligations, the biodiversity monitoring, prevention and control of infectious disease, and ensuring the ecological security and the sustainable development of economy.
Determination of Seed Density of Several Forest Trees Species to Improve the Successful Seed Germination
Authors: Yuniarti N , Nurhasybi  
Published: July 2020

Abstract
The success of tree seed germination for planting programme depends on several factors including tree seed density for seed sowing. The purpose of this study was to determine the seed density based on the level of seed aging to increase the success of seed germination of several forest tree species, namely white jabon (Anthocephalus cadamba (Roxb) Miq.), bambang lanang (Magnolia champaca Linn.), jelutung (Dyera polyphylla Miq.), kayu bawang (Azadirachta excelsa (Jack) Jacobs), and trema (Trema orientalis Linn. Blume).The seed density treatments covered 5 phases (d0, d1, d2, d3, d4) based on the germination percentage (GP). Seedlots variation was derived from 5 seed aging treatments (0, 48, 96, 144, and 192 hours).The determination of seed density was based on Kartika’s formula (1994).The results showed: (1) seed density of white jabon was 0.1g of seed/300cm2 with pure live seeds (PLS) of 1140 seedlings/ 0.1g of seed; (2) seed density of bambang lanang was 100 seeds/300 cm2 with GP of 58%; (3) seed density of jelutung seeds with 85% of GP was 50 seeds/600cm2; (4) seed density of kayu bawang with 83% of GP was 50 seeds/600 cm2 and (5) seed density of trema with 78% of GP was 100 seeds/600cm2. The longer the time of seed aging, the lower the value of germination percentage. Therefore,the lower the germination percentage, the seed density will be more tight.
EBONY (Diospyros celebica Bakh) CONSERVATION
Authors: Kiding Allo Merryana 
Published: July 2020

Abstract

Eboni (Diospyroscelebica Bakh.) is aspeciesof Diospyros.It isone of the endemic species that distributesonly in Wallacea geographicalregion. Ebony is lowland tree species found in both rain forest and monsoon forest in Sulawesi with various soils types including in Alluvial, Latosols, Mediterranean, and Litosols. In its natural habitat this species associateswitharen (Arengapinnata), rattan and other palm trees.Ebony iswell known as an outstanding tree speciesthat producesdurable, fancy wood withcolorful mixed red and brownish yellow. Because of its superior quality and luxury, ebony has been utilized for high class furniture and house interior. Before trade banning ebony was an important species exported mainly to Japan.High demand in both domestic and foreign markets has lead the overcutting of the ebony and put the extinction of this species. To date, only few ebony treesremaining in Sulawesi natural forest. This species is having struggle of natural regeneration. The data showed that the potential ebony trees in term of IVI decreased dramatically from 92% to 23% during 1970 to 1990. At this moment, it is hard to find the ebony trees in the conservation areas, only a few ebony at poles levels can be found in those areas. Therefore, it is important to conserve the ebony through in situ replanting programs.Before Forest Concession was handed over to private parties in the 70s, the potential of value approached 92% and after management until the 90s, IVI droppedto less than 23%.At present the existence of ebony trees in some ex-processing is only in the pillars form and in the conservation area they can still be found at poles with small diameter. In the future, ebony conservation could be implemented through.
Investigation on Tribological and mechanical behaviour of AA6082—Graphene based composites with Ti particles
Authors: Rajaganapathy C , Vasudevan D , Selvakumar N 
Published: July 2020

Abstract
In the recent years, high strength and low weight materials are being preferred in automobile sectors for fabricating high-speed rotating shafts and machineries. For satisfying dynamic requirements, Aluminium Metal Matrix Composites can be used. In this paper, an attempt has been made to fabricate AA 6082—graphene based Aluminium Matrix Composites reinforced with Titanium (Ti) particles. The effect of increase weight percentage of Graphene and Ti reinforcement on the mechanical characteristics was evaluated. Using tensile tests and surface micro hardness measurements, the fluctuations in mechanical aspects were measured. Tribological characteristics of the Aluminium Matrix Composites were found using pin on disc tribo wear meter, using Silver (Ag) nanoparticles incorporated Jatropha oil as bio-lubricant. Microstructural variations were evaluated by using FESEM which indicated surface tear offs, surface ploughing, demarcations, micro pits, grooves, demarcations, micro cuts and micro tears on the surfaces. The effect of Ag Nano particle addition on Jatropha oil was observed with the fluctuations in Coefficient of friction, specific wear rate and wear mass loss. On increase in reinforcement percentage of G and Ti, specific wear rate was found to decrease and coefficient of friction decreased till 3% by weight reinforcement and beyond 3%, it increased. The surface chemistry modifications were identified using XRD. It was observed that AA6082 Aluminium Matrix Composites reinforced with 3% G and 3% Ti exhibited better mechanical and tribological properties when used with 1% Ag Nanoparticles incorporated Jatropha oil as lubricant.
An open-source platform for interactive collision prevention in photon and particle beam therapy treatment planning
Authors: Hueso-González F , Wohlfahrt P , Craft D , Remillard K 
Published: July 2020

Abstract
We present an open-source platform to aid medical dosimetrists in preventing collisions between gantry head and patient or couch during photon or particle beam therapy treatment planning. This generic framework uses the native scripting interface of the particular planning software to import STL files of the treatment machine elements. These are visualized in 3D together with the contoured or scanned patient surface. A graphical dialog with sliders allows the interactive rotation of the gantry and couch, with real-time feedback. To prevent a future replanning, treatment planners can assess in advance and exclude beam angles resulting in a potential risk of collision. The software platform is publicly available on GitHub and has been validated for RayStation with actual patient plans. Furthermore, the incorporation of the complete patient geometry was tested with a 3D surface scan of a full-body phantom performed with a handheld smartphone. With this study, we aim at minimizing the risk of replanning due to collisions and thus of treatment delays and unscheduled consumption of manpower. The clinical workflow can be streamlined at no cost already at the treatment planning stage. By ensuring a real-time verification of the plan feasibility, the script might boost the use of optimal couch angles that a planner might shy away from otherwise.
Effects of anisotropy on the resonant scattering of Hydrogen atom from the fullerene C60
Authors: Dubey Km Akanksha , Srikanth Korutla , Rao T Rajagopala , Jose Jobin 
Published: July 2020

Abstract
From a macroscopic point of view, the C60 and the interaction offered by it is considered spherical because of its symmetry. However, the C60 is formed of hexagonal and pentagonal rings of Carbons. Therefore, on a microscopic level, the interaction potential offered in the elastic scattering of projectiles from the C60 is anisotropic. Elastic scattering of Hydrogen atom from the C60 with the interaction taken to be anisotropic is discussed in the present work. The complex radial and angular dependence of H-C60 interaction is calculated using the Density Functional Theory. The scattering resonances are seen to be modified to significant extent in comparison with the isotropic scattering case. However, the parameters of the non-resonant scattering are mostly unaffected due to the anisotropic effects.