bluuebunny/crossref_metadata_2025 huggingface dataset:
Improving Financial Performance Using Capital Budgeting Method Towards Cleaner Eyewear Product: A Case Study of Nasho
Authors: Juliani Mia , Rahadi Raden Aswin
Published: August 2020

The purpose of this study was to know the factor that can be improved in the financial performance of Nasho. Nasho is a brand that focuses on offering products for eyeglass and helmet application that can be water, dew and dust repellent by utilizing the application of nanotechnology in the scope market of Bandung. However, to adapt the technology for Nasho is currently hampered by the limited capital to develop the technology itself. The company needs to manage the capital and minimize the cost to optimize the finance. The company needs to control the cost and expenses to avoid the high number of costs and expenses in terms of the development business stage. The research will use a qualitative approach by conducting interviews to Mr. Reza optics that will cooperate with Nasho to sell the product and use secondary data information from literature review, journal, books and primary data from financial history of Nasho and survey from the consumer of Nasho namely College student, Medical staff and Motorcycle riders and the components that are relevant to the conceptual framework. Survey used to get the consumer product and buying tendency information from Nasho’s consumer to validate the assumption of brand, price and buying intencity. Interview was conducted to get the suitable number of sales that are being used for cash flow forecasting scenario. The findings of this research is Nasho had low financial performance in the first two years of the business. After the evaluation, this can be improved by making a financial planning mix for short term and long term using the capital budgeting method in the form of three optimal scenarios of cash flow, Net Present Value (NPV), IRR and payback period that can be used as an optimal plan to run this business for the next five years.
Hubungan Antara Kepimpinan Transformasi Guru Besar dengan Komitmen Kerja dalam kalangan Guru Sekolah Rendah di Daerah Kulim Bandar Baharu, Kedah
Authors: Munian Saravanan , Hasan Shahizan
Published: August 2020

Komitmen kerja guru memainkan peranan penting dalam meningkatkan prestasi sesebuah organisasi sekolah. Peranan gaya kepemimpinan transformasi dapat membantu dalam meningkatkan komitmen kerja guru bagi mencapai matlamat sekolah. Tujuan penyelidikan ini adalah untuk mengkaji hubungan antara gaya kepemimpinan transformasi guru besar dengan komitmen kerja di kalangan guru Sekolah Jenis Kebangsaan Tamil di daerah Kulim Bandar Baharu, Kedah. Sampel kajian ini terdiri daripada 200 orang guru dari 17 buah Sekolah Jenis Kebangsaan Tamil di daerah Kulim Bandar Baharu yang dipilih secara rawak. Soal selidik kajian tinjauan ini mengandungi 62 item dan mempunyai kebolehpercayaan yang tinggi dengan nilai Cronbach Alpha sebanyak 0.96 (Bahagian B) dan 0.95 (Bahagian C). Data kajian ini dianalisis dengan menggunakan statistik deskriptif dan Analisis Korelasi Pearson. Dapatan deskriptif menunjukkan bahawa tahap komitmen kerja dalam kalangan guru Sekolah Jenis Kebangsaan Tamil di daerah Kulim Bandar Baharu adalah tinggi. Seterusnya, analisis Korelasi Pearson menunjukkan bahawa terdapat hubungan signifikan yang positif dan sederhana antara gaya kepemimpinan transformasi guru besar dengan komitmen kerja dalam kalangan guru Sekolah Jenis Kebangsaan Tamil di daerah Kulim Bandar Baharu. Di samping itu, analisis Korelasi Pearson turut menunjukkan bahawa terdapat hubungan signifikan yang positif dan lemah antara dimensi-dimensi gaya kepemimpinan transformasi guru besar seperti karismatik, motivasi inspirasi, stimulasi intelektual dan pertimbangan secara individu dengan komitmen kerja dalam kalangan guru Sekolah Jenis Kebangsaan Tamil di daerah Kulim Bandar Baharu. Secara keseluruhannya, kajian ini mendapati bahawa gaya kepemimpinan transformasi guru besar mempunyai hubungan yang signifikan dengan komitmen kerja guru.
Voting Experiences of Visual Impaired Citizens During Polling Day in Malaysia
Authors: Ramayah Bavani , Sreedharam Rajini Kumar
Published: August 2020

Voting is a core responsibility of a citizen as every citizen has equal rights to cast his/her votes during polling day. However, individuals with disabilities encountered many challenges when it comes to voting. To address these issues, we conducted a study to explore the experiences of individuals with visual impairment during polling day of the General Election 2018 in Malaysia. The study has discovered that there are some significant issues encountered by individuals with visual impairment such as trust, privacy, facilities in polling station, limited guidance in polling station and mobility.  In order to prevent these obstacles this research has suggested some solutions. The findings of this research will help the government and Electoral Commission to make elections more accessible for everyone in future especially for the visual impaired people.
Autonomous Orientation Behaviors Influence Towards Ex-Juvenile Entrepreneurs Delinquent Behavioral Change in Katsina State, Nigeria: A Conceptual Paper
Authors: Usman Bilyaminu , Hashim Sharizal Bin , Lamptey Jeff , Ali Ashemi Baba
Published: August 2020

Recent Entrepreneurship orientation autonomous dimension discussion revealed the important and the positive influence of autonomous orientation as one of the Entrepreneurial orientations (EO) towards organizational performance and profitability. However, discussion of autonomous orientation in the context of individual such as entrepreneurs behavioral change impact still silent, especially in the context of ex-juvenile entrepreneur that can give an insight to the Entrepreneurship body of knowledge. Therefore, the objective of this conceptual paper is to understand the influence of autonomous orientation behaviors as one of the individual entrepreneurial orientation (IEO) towards delinquent behavioral change of ex-juvenile entrepreneurs. The conceptual paper proposed the framework that ex- juvenile entrepreneurs could be autonomous and more importantly autonomous orientation might have a positive influence towards ex-juvenile entrepreneurs’ delinquent behavioral change. Subsequently relating development of this concept, the conceptual review demonstrates the importance of the autonomous orientation as an effective deliberate orientation for ex-juvenile entrepreneurs once they reconsider their delinquent behavior with entrepreneurial autonomous activities. Assuming autonomous orientation looks to replicate a desired reconciliation amongst delinquent behaviors and entrepreneurial autonomous orientation as an alternative to delinquency. Lastly, the conceptual paper concludes with suggesting some inferences for future research to dig out the study theoretically, conceptually and empirically of the individual EO autonomous orientation behaviors among delinquent populace (ex- juvenile entrepreneurs) context. This conceptual paper provides a fresh knowledge about the IEO autonomous orientation potentiality in the entrepreneurs’ self-development and an insight to the entrepreneurship framework.
Perkembangan Kemahiran Berfikir Kritis Melalui Pembelajaran STEM Berasaskan Robot (Outside of School Time) di Luar Waktu Sekolah di Sekolah Menengah Daerah Tuaran, Sabah
Authors: Yahaya Fetty Shamy Lin , Lajium Denis
Published: August 2020

Pelan Pembangunan Pendidikan Malaysia (PPPM) 2013-2025 telah mendorong transformasi kurikulum pendidikan untuk menekankan dengan lebih lanjut mengenai konsep Kemahiran Berfikir Aras Tinggi (KBAT), yang bertujuan untuk melahirkan pelajar yang mempunyai pemikiran yang lebih kritis untuk bersaing di peringkat antarabangsa. Pembelajaran STEM yang boleh digunakan sebagai strategi pembelajaran untuk membina kemajuan dari pengetahuan semasa ke pemikiran aras tinggi. Sesi pembelajaran STEM telah menghubung jalinkan pengajaran dan pembelajaran yang menggabungkan kemahiran berfikir aras tinggi dan kaedah pembelajaran untuk menggalakkan kemahiran berfikir kritis yang dijalankan secara pembelajaran STEM Berasaskan Robot (Outside of School Time) di luar waktu sekolah menengah Daerah Tuaran, Sabah. Kumpulan fokus terdiri daripada 6 orang daripada 24 peserta pelajar tingkatan 2 dan 4 guru sekolah menengah daripada daerah Tuaran, Sabah. Kajian ini adalah berbentuk kualitatif yang menganalisis temu bual kumpulan fokus dan guru. Peserta melalui pembelajaran STEM bersama tugasan “mind-on” dan “hand-on”. Kajian ini bertujuan untuk meneroka perkembangan kemahiran berfikir kritis secara mendalam melalui pembelajaran dan pengajaran berasaskan penyelesaian masalah. Kajian telah mengenal pasti disposisi dominan elemen kemahiran berfikir kritis di bawah tema utama iaitu menganalisis, menilai dan mereka cipta dalam penyelesaian masalah. Pembelajaran STEM Berasaskan Robot merangsang pembelajaran bermakna, meningkatkan interaksi bermakna dan mengembangkan kemahiran pemikiran kritis. Implikasi kajian ini menjurus kepada penerokaan pengetahuan yang lebih mendalam terhadap perkembangan disposisi dominan elemen kemahiran berfikir kritis menerusi pembelajaran STEM Berasaskan Robot.
Kesedaran Pelajar Universiti Teknologi Malaysia (UTM) Tentang Pengangguran di Malaysia Akibat Daripada Revolusi Industri 4.0
Authors: Ibrahim Muhammad Rafii , Cong Lee Wei , Dickson Lui , Mohd Ishar Mohamad Izzuan
Published: August 2020

Revolusi Industri 4.0 dilihat sebagai satu perubahan yang penting untuk mentransformasikan sesebuah negara ke arah yang maju. Walaupun Revolusi Industri 4.0 ini membawa banyak manfaat kepada masyarakat, akan tetapi ia juga mendatangkan banyak isu dan cabaran kepada masyarakat. Salah satu isu yang sangat perlu diberi perhatian ialah isu pengangguran. Kajian ini mengkaji tahap kesedaran pelajar Universiti Teknologi Malaysia (UTM) terhadap isu pengangguran yang berlaku kesan daripada Revolusi Industri 4.0. Selain itu, kajian ini turut memperlihatkan tahap kesediaan pelajar UTM terhadap cabaran pengangguran yang berlaku akibat daripada Revolusi Industri 4.0 di Malaysia. Kajian yang dijalankan melalui edaran borang soal selidik secara atas talian kepada pelajar UTM sebagai sasaran kajian. Keputusan daripada kajian tersebut telah menunjukkan tahap kesedaran pelajar UTM terhadap isu pengangguran yang berlaku akibat daripada Revolusi Industri 4.0 masih rendah dan perlu ditingkatkan. Walau bagaimanapun, keputusan telah menunjukkan pelajar UTM mempunyai tahap kesediaan yang tinggi terhadap isu pengangguran. Ini bermaksud pelajar UTM adalah bersedia untuk menghadapi isu pengangguran yang berlaku akibat daripada Revousi Industri 4.0.
Takrifan Autoriti Sebagai Wacana Realiti Sosial dalam Kempen Bulan Penghayatan Kebangsaan
Authors: Mohd Yusoff Sitinurbayu , Ag Ahmad Syahruddin , Meri Aisah , Modili Cyril
Published: August 2020

Setiap tahun, perayaan Hari Kebangsaan disambut meriah dengan pelbagai kempen dan program anjuran kerajaan bagi menyuntik semangat patriotisme dan nasionalisme di kalangan masyarakat. Sambutan perayaan Hari Kebangsaan ini dianjurkan dengan harapan ia dapat membina jiwa kenegaraan yang tinggi dalam kalangan masyarakat yang majmuk. Pengisian dalam kempen Hari Kebangsaan adalah sepenuhnya menjadi tanggungjawab kerajaan untuk mengatur pelan strategi yang paling sesuai dengan keadaan masyarakat Malaysia yang berbilang bangsa dan agama. Di sini, pengaruh realiti sosial takrifan autoriti dijangka memainkan peranan dalam mengawal situasi untuk mengekalkan sesuatu penguasaan yang telah diperolehi. Oleh itu, wacana tentang kemerdekaan yang diketengahkan oleh pihak kerajaan melalui kempen bulan Kebangsaan saban tahun harus dirancang dengan teliti agar kewibawaan, konsep dan motif yang direncanakan dalam sesebuah kempen dapat dihayati dengan sepenuh hati oleh golongan sasar.  Dalam masa yang sama kebijaksanaan kerajaan dalam merangka kandungan kempen perlu agar integriti kerajaan dalam memimpin negara diperolehi dan dipandang tinggi di mata dunia. Kaedah perbincangan kumpulan fokus dan temubual mendalam telah dijalankan untuk mengenalpasti adakah wujudnya unsur ‘authority-defined’ dalam pemilihan isi kandungan kempen bulan Kebangsaan. Dapatan yang digarap daripada perbincangan kumpulan fokus dan temu bual mendalam dikaitkan dengan konsep realiti sosial takrifan autoriti sebagai pemangkin kepada pembentukan terhadap penguasaan dalam kalangan rakyat negara ini. Kajian ini diharap dapat memberikan  pemahaman yang lebih jelas mengapa konsep takrifan autoriti (authority-defined) itu lebih penting untuk dipraktiskan dalam pengurusan sesebuah pemerintahan berbanding amalan takrifan harian (everyday-defined).
A Study Towards Barriers of Organic Personal Care Consumption Among Indonesian Young Woman
Authors: Shafira Aqmalia , Mayangsari Lidia
Published: August 2020

In recent decades, consumers begin shifting in the use of healthy products, since people are starting to become aware of the adverse effects caused by synthetic chemicals for health. Several studies that show the global demand for organic products has risen annually, including organic personal care, that has become an inevitable trend. While women are willing to pay more on organic personal care brands, they have doubts about issues related to the ingredients of brands that promise to be all organic. This study aims to measure the influences between barriers towards organic personal care consumption among 400 young women in Jabodetabek and Bandung with the use of Innovation Resistance Theory (IRT). The research was conducted using questionnaires and analyzed using Confirmatory Factor Analysis, with SmartPLS Software. The results indicate that usage barrier, value barrier, tradition barrier have positively and significantly affected organic personal care products consumption, except for risk barriers and image barriers which have insignificant effects. These findings might be useful to create business strategies for organic personal care SMEs in Indonesia, by taking more attention towards the indicator aspect on usage barriers, value barriers and tradition barriers.
Fotolivre360, relato de uma experiência inovadora
Authors: Guidotti Flávia Garcia , Longhi Raquel Ritter , Tokasiki Lívia , Buzzi Luiz Felipe
Published: August 2020

O Projeto de Extensão Fotolivre360 foi criado para democratizar o acesso às diferentes técnicas de registro fotográfico digital (com smartphones, DSLR, câmeras esportivas e com câmeras para a produção de fotografias 360º). Durante o ano de 2018, foram realizadas 14oficinas com jovens estudantes universitários e com adolescentes de regiões periféricas de Florianópolis, divulgadas nas redes sociais Facebook e Instagram. O projeto superou as expectativas iniciais, uma vez que conseguiu agregar a comunidade acadêmica e a comunidade em geral, funcionando não apenas como vetor de instruções técnicas, mas também como meio de reflexão acerca dos registros realizados, possibilitando a esses estudantes agirem como sujeitos de suas próprias histórias e de suas próprias imagens.
Algumas considerações sobre surdos no mercado de trabalho: uma experiência sobre língua e segurança
Authors: Baalbaki Angela Corrêa Ferreira , Araújo Amanda Barbosa , Morais Bruna De , Silva Dandara Dalva Santos , Campos Patrícia Meira de Farias , Targine Tathiana
Published: August 2020

Este trabalho busca abordar algumas dificuldades enfrentadas no mercado de trabalho por sujeitos surdos em relação à comunicação e à inclusão no meio profissional. Tal reflexão se originou com o convite feito ao projeto de extensão “Recursos e Materiais Didáticos de Língua Portuguesa como L2 para Surdos”, da UERJ, para oferecer uma palestra diferenciada para uma empresa de engenharia, durante a Semana Interna de Prevenção de Acidentes de Trabalho (SIPAT). Como linha geral da apresentação, consideramos enfatizar as diferenças linguísticas e culturais dos trabalhadores surdos que ali trabalham como também sugerir formas de comunicação em situações de emergência. Observamos que os trabalhadores da empresa se sentiram mais envolvidos com a valorização da língua de sinais e os cuidados com o trabalhador surdo em caso de acidentes, salientando a importância da Libras em ambientes de trabalho.
Projeto de Extensão “Gestão de serviços em instituições do Terceiro Setor”
Authors: Ribeiro Ana Regina Bezerra , Pinto Natália Lúcia da Silva , Melo Filho Lara Régia , Ayres Marcela Correia Gomes Barbosa , Oliveira Suellen Araújo
Published: August 2020

O presente trabalho enfoca as atividades desenvolvidas pelo projeto de extensão da Universidade Federal Rural de Pernambuco intitulado “Gestão de Serviços em Instituições do Terceiro Setor”, cuja vigência foi de janeiro a dezembro de 2017. O projeto teve como objetivo inserir e aproximar os estudantes da graduação e do mestrado em Administração no contexto das organizações do terceiro setor (OTS) e proporcionar melhorias na prestação de serviços das ONGs beneficiadas. O projeto foi pautado nas finalidades das atividades de extensão, ou seja, na integração com as atividades de ensino e pesquisa para atender às demandas da sociedade, respeitando o compromisso social da universidade e permitindo uma maior interligação entre os ambientes acadêmico e comunitário. O projeto foi dividido em três etapas distintas: a seleção das instituições, o diagnóstico organizacional e a execução de ações. A metodologia permitiu o planejamento e execução de ações em cinco instituições. Foi observada a dificuldade de atender à demanda destas, devido às diferenças do público-alvo. Contudo, o projeto de extensão proporcionou à equipe executora o entendimento da dinâmica das organizações deste segmento, analisando suas diferenças, afinal, se forem comparadas às instituições privadas ou públicas, as organizações do terceiro setor não têm a lucratividade como finalidade, possuem voluntários contribuindo para a prestação de serviços e, na maioria das vezes, não têm mecanismos de gestão adequados à sua realidade. Ao fim do projeto, verificou-se que houve promoção do conhecimento sobre gestão administrativa, melhoria na qualidade dos serviços prestados e no relacionamento interpessoal entre os membros das cinco instituições atendidas pelo projeto de extensão.
Programa de Educação Tutorial em Odontologia e Fonoaudiologia da Universidade Federal de Santa Catarina: um relato de experiência
Authors: Valesan Lígia Figueiredo , Maccarini Gabriella Piazza , Régis Júlia Roberta , Iwassake Murilo Kazuo , Gonçalves Laura Faustino , Souza Beatriz Dulcineia Mendes de
Published: August 2020

O objetivo deste relato de experiência é relatar as atividades e projetos desenvolvidosno Programa de Educação Tutorial de Odontologia e Fonoaudiologia (PET Odonto-Fono) e demonstrar a importância da atuação multidisciplinar na Universidade Federal de Santa Catarina (UFSC). O programaexiste desde 2010 e é formado por discentes e docentes dos cursos de graduação em Odontologia e Fonoaudiologia. O PET Odonto-Fono tem por essência estimular os valores de cidadania e consciência social, bem como elaborar alguns projetos: Capacitações internas, Clínica Integrada Odonto-Fono, PET baseado em Evidências, Projeto Workshop e Palestras, Informa PET, PET Monitoria, PET Tampinhas, Campanha da Cultura Indígena, Planeja PET, PETeca, CinePET, PET Publica e Grupo de Apoio PET. Portanto, o PET Odonto-Fono promove a transformação social e o enriquecimento da produção científica, além de contribuir naatuação multidisciplinar dos futuros profissionais, capacitando-os e demonstrando a importância doatendimento humanizado e dotrabalho em equipe.
O Resgate da Narrativa na Cultura Digital: A Conversação Psicanalítica com Adolescentes na Escola
Authors: Viola Daniela Teixeira Dutra , Lima Nádia Laguárdia de , Nobre Márcio Rimet
Published: August 2020

Este artigo examina a conversação psicanalítica e seu lugar no Outro contemporâneo a partir da experiência de um projeto de pesquisa e extensão com grupos de adolescentes em escolas. Apresenta-se um extrato de conversação a fim de demonstrar a instalação de um espaço de transmissão de narrativas que produz efeitos subjetivos nos participantes. Investiga-se como esse dispositivo opera num mundo em que as faculdades de narrar e de escutar estão enfraquecidas. Nesse sentido, propõe-se um diálogo da psicanálise de orientação lacaniana com o pensamento filosófico de Walter Benjamin e suas considerações sobre a transmissão da experiência e também com outros autores da filosofia e das ciências sociais que abordam as mutações discursivas desde a modernidade à hipermodernidade.
Políticas de Solidão Demasiadamente Cotidianas
Authors: Parise Luís Felipe , Paulon Simone Mainieri
Published: August 2020

O presente artigo tem por objetivo problematizar as políticas de solidão do contemporâneo. Para tanto, debruça-se sobre algumas linhas de composição dos dispositivos que operam na transição da sociedade disciplinar para a sociedade de controle. Os campos problemáticos são, principalmente: a constituição das cidades modernas; o desenvolvimento do liberalismo econômico e o governo de individualização. Utiliza-se a metodologia genealógica para elucidar aspectos da problemática em questão. Encerra-se com uma reflexão sustentada nos modos de existir solitário, à luz das leituras de Deleuze e Foucault. Evoca-se uma solidão fundamental, conceito-chave para se perspectivar a experiência urbana solitária para além da lógica do individualismo.
Atributos do Amor no Recasamento com o Ex-Cônjuge: Uma Reconstrução Gratificante
Authors: Limeira Maria Ignez Carneiro de Azevedo , Dantas Cristina Ribeiro , Féres-Carneiro Terezinha
Published: August 2020

O presente estudo, parte de uma investigação mais ampla sobre o recasamento com o excônjuge, teve por objetivo compreender como a expressão do amor, a partir dos componentes da teoria triangular do amor, contribui para a reconstrução desse tipo de relacionamento. Realizou-se uma pesquisa qualitativa, na qual foram entrevistados 12 sujeitos independentes, de camadas médias da população do Rio de Janeiro, heterossexuais, casados com o ex-cônjuge, com pelo menos um filho em comum. Para análise dos resultados utilizou-se o método de análise de conteúdo, sendo discutida a categoria atributos do amor e suas subcategorias: intimidade, paixão e decisão/compromisso. Constatou-se uma proteção natural ao relacionamento por meio dos atributos dos componentes intimidade e decisão/compromisso, formando o amor companheiro, reforçado por doação genuína.
Observations and explicit modeling of isoprene chemical processing in polluted air masses in rural areas of the Yangtze River Delta region: radical cycling and formation of ozone and formaldehyde
Authors: Zhang Kun , Li Li , Huang Ling , Huo Juntao , Duan Yusen , Wang Yuhang , Wang Yangjun , Fu Qingyan
Published: August 2020

Abstract. Ozone pollution has become one of the most severe environmental problems in China in recent years. Our online observations showed that high level of O3 were observed in rural areas of the Yangtze River Delta (YRD) region even there was no obvious ozone transport from the urban regions. To better understand the formation mechanism of local O3 pollution and investigate the potential role of isoprene chemistry in the budgets of ROx (OH+HO2+RO2) radicals, synchronous observations of volatile organic compounds (VOCs), formaldehyde (HCHO) and meteorological parameters were conducted at a rural site of the YRD region in 2018. Five episodes with elevated O3 concentrations under stagnant meteorological conditions were first identified; an observation-based model (OBM) with the Master Chemical Mechanism was applied to analyze the photochemical processes in these high-O3 episodes. High levels of O3, nitrogen oxides (NOx), and VOCs facilitated strong production and recycling of ROx radicals with the photolysis of oxygenated VOCs (OVOCs) being the primary source. Our results suggest that local biogenic isoprene is important to local photochemical processes. Removing isoprene could drastically slow down the efficiency of ROx recycling and reduce the concentrations of ROx. The absence of isoprene chemistry could further lead to decrease in the daily average concentration of O3 and HCHO by 36 % and 15 %, respectively. This study underlines that the isoprene chemistry in rural atmosphere becomes important with the participation of anthropogenic NOx and also provides insights into the radical chemistry that essentially drives the formation of secondary pollutants (e.g. O3 and HCHO) in rural YRD region.
A DEEP LEARNING ARCHITECTURE FOR BATCH-MODE FULLY AUTOMATED FIELD BOUNDARY DETECTION
Authors: Meyer L. , Lemarchand F. , Sidiropoulos P.
Published: August 2020

Abstract. The accurate split of large areas of land into discrete fields is a crucial step for several agriculture-related remote sensing pipelines. This work aims to fully automate this tedious and resource-demanding process using a state-of-the-art deep learning algorithm with only a single Sentinel-2 image as input. The Mask R-CNN, which has forged its success upon instance segmentation for objects from everyday life, is adapted for the field boundary detection problem. Such model automatically generates closed geometries without any heavy post-processing. When tested with satellite imagery from Denmark, this tailored model correctly predicts field boundaries with an overall accuracy of 0.79. Besides, it demonstrates a robust knowledge generalisation with positive results over different geographies, as it gets an overall accuracy of 0.71 when used over areas in France.
COORDINATION OF PLANETARY COORDINATE SYSTEM RECOMMENDATIONS BY THE IAU WORKING GROUP ON CARTOGRAPHIC COORDINATES AND ROTATIONAL ELEMENTS – 2020 STATUS AND FUTURE
Authors: Archinal B. A. , Acton C. H. , Conrad A. , Duxbury T. C. , Hestroffer D. , Hilton J. L. , Jorda L. , Kirk R. L. , Klioner S. A. , Margot J.-L. , Oberst J. , Paganelli F. , Ping J. , Seidelmann P. K. , Tholen D. J. , Williams I. P.
Published: August 2020

Abstract. Our goal is to request input from the lunar and planetary community regarding issues of planetary coordinate systems and cartography standards. We begin with an overview of the work of the International Astronomical Union Working Group on Cartographic Coordinates and Rotational Elements. We briefly describe the operations and membership of the Working Group, some of the various uses of the recommendations it makes, our most recent (2018) published report and the recommendations therein, and the outlook for our next such report. We then consider several issues and questions regarding the future of the Working Group and regarding planetary cartography and planetary data spatial infrastructure in general. This includes possible near-term projects, how we and others might collect and consider community input and includes some ideas regarding possible outcomes or future work that will need to be addressed by the Working Group or other organizations.
TOPOGRAPHIC MAPPING OF THE MOON IN THE 21ST CENTURY: FROM HECTOMETER TO MILLIMETER SCALES
Authors: Di K. , Oberst J. , Karachevtseva I. , Wu B.
Published: August 2020

Abstract. This paper presents a review of lunar topographic mapping in the two decades of the 21st century, including descriptions of lunar exploration missions, relevant payloads and data, mapping techniques, as well as global and regional mapping products. Various lunar photogrammetric mapping techniques such as construction of geometric models of lunar orbital images, block adjustments, shape from shading, co-registration of lunar orbital image and elevation data have been developed to process lunar orbital images and generate mapping products. Global topographic products at hectometer and decameter scales have been produced from orbital images and/or laser altimeter data. Regional topographic maps of the landing sites and other sites of interest have been generated at meter-scale using the sub-meter to meter resolution orbital images. Detailed local topographic products at centimeter to millimeter scales of the landing sites and rover traverse areas have been produced using descent images acquired by the landers and stereo images acquired by the rovers. These multiple-scale topographic mapping products have been extensively used to support various science applications, as well as engineering applications such as surface operations of the rovers.
GEOSPATIAL TECHNOLOGY BASED SOIL LOSS ESTIMATION FOR SUSTAINABLE URBAN DEVELOPMENT OF BUTWAL SUBMETROPOLITAN CITY, NEPAL
Authors: Mandal U. K. , Kumari K.
Published: August 2020

Abstract. Geo-spatial technology was attempted to estimate the potential and actual soil loss and its correlative interpretation with physiographic soil units and land use and cover types in Butwal sub-metropolitan city, Central Region of Nepal. Among several empirical and physically based soil erosion models, widely used RKLS and RKLSCP, Revised Universal Soil Loss Equation (RUSLE) were employed to estimate the potential and actual soil loss in the present investigation, respectively. Five years of rainfall, topographic contour-spot height and soil map were basically used as source of information for in-depth investigation. Butwal sub-metropolitan located at foothill of Chure/Siwalik range was found highly sensitive or prone to soil erosion. A total of 32.68 and 1.83 million tons soil was potentially and actually estimated annually being lost from the city. Erosion rates were found highly correlated with the slope of physiographic soil unit. 60.93% of the total potential soil loss was mainly contributed only by physiographic-soil unit 12 with the spatial extent of 34.10% of the city area. This unit was characterized by steeply to very steeply sloping mountainous terrain having dominant slope greater than 30° and loamy skeletal as dominant soil texture. Significant difference was found in the estimation of RKLS and RKLSCP indicating the substantial reduction contribution of soil loss by land use/cover types predominated by forest. after agriculture. Thus physiographic-soil unit 12 having soil loss highest must be given higher priorities for soil conservation and optimum urban land use planning required for sustainable urban development. Lower percentage of actual soil to the potential loss indicated the fact of contribution of cover management and erosional control practice factor in reducing soil erosion in existing situation.
AUTOMATIC DETECTION OF GREY INFRASTRUCTURE BASED ON VHR IMAGE
Authors: Pluto-Kossakowska J.
Published: August 2020

Abstract. Grey infrastructure is an integral part of the urban environment. Continuous modernization of architecture, construction, routes or services in that region leads to more and more new grey infrastructure appearing. The reason for this are constant migrations of people, dissemination of a healthy lifestyle or improvement of its level. Its growth is particularly noticeable in agglomerations where keeping the balance between sealed and vegetated area is very much concerned. Therefore, it is necessary to constantly monitor changes over time and thus update the databases containing information on land cover such as the Topographical Database. For this purpose VHR images were processed and analysed in terms of detection efficiency of topographical objects defined as grey infrastructure. This study presents the results of an analysis of the possibility of updating the land cover classes in the Topographical Database based on WorldView-2 satellite images.The methods used to detect grey infrastructure come from a machine learning approach such as Random Forests and parametric Maximum Likelihood classifier, resulting at a 90% level of accuracy.The other aim of the work was to analyse changes in the grey infrastructure on the basis of the Topographic Database at scale 1:10000 using a VHR satellite image. The analysis of its changes was carried out on the dynamically developing city of Warsaw.
LAND USE AND LAND COVER MAPPING – A CASE STUDY OF AHMEDABAD DISTRICT
Authors: Rawal D. , Chhabra A. , Pandya M. , Vyas A.
Published: August 2020

Abstract. Land cover mapping using remote-sensing imagery has attracted significant attention in recent years. Classification of land use and land cover is an advantage of remote sensing technology which provides all information about land surface. Numerous studies have investigated land cover classification using different broad array of sensors, resolution, feature selection, classifiers, Classification Techniques and other features of interest from over the past decade. One, Pixel based image classification technique is widely used in the world which works on their per pixel spectral reflectance. Classification algorithms such as parallelepiped, minimum distance, maximum likelihood, Mahalanobis distance are some of the classification algorithms used in this technique. Other, Object based image classification is one of the most adapted land cover classification technique in recent time which also considers other parameters such as shape, colour, smoothness, compactness etc. apart from the spectral reflectance of single pixel.At present, there is a possibility of getting the more accurate information about the land cover classification by using latest technology, recent and relevant algorithms according to our study. In this study a combination of pixel-by-pixel image classification and object based image classification is done using different platforms like ArcGIS and e-cognition, respectively. The aim of the study is to analyze LULC pattern using satellite imagery and GIS for the Ahmedabad district in the state of Gujarat, India using a LISS-IV imagery acquired from January to April, 2017. The over-all accuracy of the classified map is 84.48% with Producer’s and User’s accuracy as 89.26% and 84.47% respectively. Kappa statistics for the classified map are calculated as 0.84. This classified map at 1:10,000 scale generated using recent available high resolution space borne data is a valuable input for various research studies over the study area and also provide useful information to town planners and civic authorities. The developed technique can be replicated for generating such LULC maps for other study areas as well.
EARTH OBSERVATION APPLICATIONS FOR GOAL 14: IMPROVING MARITIME DOMAIN AWARENESS USING SYNTHETIC APERTURE RADAR IMAGING WITH AUTOMATIC IDENTIFICATION SYSTEM IN THE PHILIPPINES
Authors: Vicente R. , Tabanggay L. , Rayo J. , Mina K. , Retamar A.
Published: August 2020

Abstract. The Philippines has acquired access to the NovaSAR-1 satellite developed by Surrey Satellite Technology, Ltd. (SSTL) for the implementation of its project Synthetic Aperture Radar (SAR) and Automatic Identification System (AIS) for Innovative Terrestrial Monitoring and Maritime Surveillance, which will provide simultaneous S-band SAR imaging with AIS data for applications targeted on improving maritime domain awareness. The country has inherent challenges in this field due to its archipelagic nature, with earth observation seen as a potential solution as it provides an immediate and wide coverage over designated priority areas. This contributes toward achieving Sustainable Development Goal 14: Life Below Water by providing objective information in support of data-driven decision and policymaking, closing knowledge gaps in monitoring Philippine waters.
A NOVEL SPECTRAL LINEAR TRANSFORMATION TO ESTIMATE NON-PHOTOSYNTHETIC VEGETATION COVERAGE IN NORTH ASIAN STEPPE
Authors: Wang W. , Chen X. , Cao X. , Chen J.
Published: August 2020

Abstract. Non-Photosynthetic Vegetation (NPV) coverage is an important parameter for wildfire danger rating, prevention of soil erosion and carbon sequestration estimations. A group of spectral indices have been developed to map NPV distribution based on hyperspectral data or particular application scenarios. However, the NPV coverage estimated by those indices are not stable because they are sensitive to soil moisture or snow cover. This paper aims to develop a spectral linear transformation named as Non-photosynthetic Vegetation Index (NPVI) based on Moderate Resolution Imaging Spectroradiometer (MODIS) data to estimate non-photosynthetic vegetation (NPV) coverage in north Asian steppe. The validation result of field spectral experiment and field survey shows the NPVI has good potential to estimate NPV coverage and are robust to soil moisture and snowmelt. Furthermore, the seasonal variation of NPVI offers the possibility to monitor the wildfire risk and grazing intensity.
THE JOINT SPATIAL AND RADIOMETRIC TRANSFORMER FOR REMOTE SENSING IMAGE RETRIEVAL
Authors: Wang Y. , Yu D. , Ji S. , Cheng Q. , Luo M.
Published: August 2020

Abstract. Content-based remote sensing image retrieval refers to searching interested images from a remote sensing image dataset that are similar to a query image via extracting features (contents) from images and comparing their similarity. In this work, we come up with a lightweight network structure, which we call the joint spatial and radiometric transformer, which is composed of three modules: parameter generation network (PGN), spatial conversion and radiometric conversion. The PGN module learns specific transformation parameters from input images to guide subsequent spatial and radiometric conversion processes. With these parameters, the spatial conversion and radiometric conversion transform the input images with spatial and spectrum perspectives respectively, to increase the intra-class similarity and inter-class difference, which are attached great importance to CBRSIR. In comparative experiments on multiple remote sensing image retrieval datasets, our proposed joint spatial and radiometric transformer combined with the backbone network ResNet34 has achieved optimal performance.
SUPPORTING THE MANAGEMENT OF HUMANITARIAN OPERATIONS CONCERNING MIGRATION MOVEMENTS WITH REMOTE SENSING
Authors: Wickert L. , Bogen M. , Richter M.
Published: August 2020

Abstract. The various forms of humanitarian operations include operations concerning the management of migrant movements and refugees. Managing those operations is non-trivial. A large number of refugees have to be welcomed, registered, forwarded, and be given supplies and accommodation. This is due to a lack of current and sufficient information about the refugees, making planning and execution of operations challenging, expensive and cumbersome. The earlier information about the refugees is available, the better. The method “Dwelling Detection”, conducted on satellite imagery of refugee camps, can provide large-scale heads-up information fast, complementing information already available to operators at the ground. With “Dwelling Detection”, dwellings in a camp and their extent are detected using machine learning methods. An estimate of inhabitants of the camp is computed using the number and the extent of the detected dwellings. Our workflow uses a Faster R-CNN, an object detection network. To train the network, we developed a fast training data annotation workflow. We use the dwellings detected by the faster R-CNN to estimate a number of inhabitants. The quality of the analysis can be evaluated by a confidence-metric, computed out of the results of the Faster R-CNN. The results can be used in humanitarian operations. We tested the workflow using different configurations and data. From those tests, we give recommendations on how to build a dwelling detection classifier. We propose to humanitarian operators to build a dwelling detection classifier according to our recommendations and use satellite images in actual humanitarian operations. This could help to reduce stress for all people involved in a humanitarian (crisis) situation.
REPEAT-PASS INTERFEROMETRIC AND BACKSCATTER ANALYSIS OF X-BAND PAZ SATELLITE – FIRST RESULTS
Authors: Abdikan S. , Bayik C. , Ustuner M. , Balik Sanli F.
Published: August 2020

Abstract. In this paper we present the initial results of PAZ Synthetic Aperture Radar (SAR) imagery for the first time. In the study, the potential of repeat-pass high resolution PAZ images were investigated. To this aim, both linear backscatter and interferometric results were presented. We used multi-temporal X-band (3.1 cm wavelength) new generation single look complex (SLC) data from Spanish PAZ in single polarization data. PAZ is based on TerraSAR-X/TanDEM-X platform to establish a constellation with them to shorten the revisit time and increase data acquisition capacity. We applied two analysis on PAZ data to assess the performance of the satellite images. For the analysis a semi-arid and almost flat region of Central Anatolia was selected. The images are acquired in both ascending and descending orbits. Each pair has 33 days of temporal baselines. Firstly, backscatter analysis was conducted over the region for different land cover classes. Secondly interferometric analysis was applied to determine phase difference and coherence features. As the region has sand dunes, bareland and uncultivated agricultural fields the coherence analysis showed high values, while cultivated fields showed variations of coherence due to different growth of vegetation. Since the region is prone to sinkhole formation the high-resolution PAZ indicated its advantage as determining a sinkhole that has a circle shape. The displacement of ground surface is determined in line of sight direction.
SPACE-AERIAL-GROUND INTEGRATED CITY DYNAMIC MONITORING BASED ON REMOTE SENSING
Authors: Chen L. , Hu J. , Lv G. , Liu Y.
Published: August 2020

Abstract. With the further acceleration of the new urbanization process, China's urbanization construction has entered a new stage of more standardized and scientific development, which puts forward higher requirements for national land and space monitoring. In view of the rapid changes in looks of our cities, the periodic monitoring methods such as personnel patrolling inspection, public reporting or satellite remote sensing are difficult to meet the needs of full-range, dynamic and precise monitoring. Therefore, it is urgent to establish a new spatial monitoring system to make up for the deficiencies of current urban spatial monitoring. In the article, the authors provide an implementation idea of a space-aerial-ground integrated remote sensing monitoring method system, which integrates various remote sensing techniques and information platform to meet the needs of large-scale urban change cycle monitoring and continuous monitoring of key construction areas Space monitoring provides modern technical support. Some of the techniques in the method system described here have been applied in some regions, which provides a basic platform for regional city monitoring, and have further research and application prospects.
SUPERVISED MANIFOLD-LEARNING ALGORITHM FOR POLSAR FEATURE EXTRACTION AND LULC CLASSIFICATION
Authors: Wang W. , Tian Z. , Tian B. , Zhang J.
Published: August 2020

Abstract. In this paper, a supervised manifold-learning method is proposed for PolSAR feature extraction and classification. Based on the tensor algebra, the proposed method characterizes each pixel with a local neighbourhood centered at it, thereby combining the spatial and polarimetric information within the image. The inherent spatial information is beneficial to alleviate the influence of speckle noise and improve the stability of the extracted features. In addition, the label information of training samples is utilized in feature extraction, therefore the discriminability of different classes can be well preserved. The tensor discriminative locality alignment (TDLA) method is applied to find the multilinear transformation from the original feature space to the low-dimensional feature space. Based on the extracted features in the low-dimensional space, the SVM classifier is applied to achieve the final classification result. A real PolSAR data set acquired over San Francisco is adopted for performance evaluation. The experimental results show that the proposed method can not only improve the classification accuracy, but also alleviate the influence of speckle noise. In addition, the spatial details can be well preserved, demonstrating the superior performance of the proposed method.
MULTI-LABEL CLASSIFICATION FOR DRILL-CORE HYPERSPECTRAL MINERAL MAPPING
Authors: Contreras I. C. , Khodadadzadeh M. , Gloaguen R.
Published: August 2020

Abstract. A multi-label classification concept is introduced for the mineral mapping task in drill-core hyperspectral data analysis. As opposed to traditional classification methods, this approach has the advantage of considering the different mineral mixtures present in each pixel. For the multi-label classification, the well-known Classifier Chain method (CC) is implemented using the Random Forest (RF) algorithm as the base classifier. High-resolution mineralogical data obtained from Scanning Electron Microscopy (SEM) instrument equipped with the Mineral Liberation Analysis (MLA) software are used for generating the training data set. The drill-core hyperspectral data used in this paper cover the visible-near infrared (VNIR) and the short-wave infrared (SWIR) range of the electromagnetic spectrum. The quantitative and qualitative analysis of the obtained results shows that the multi-label classification approach provides meaningful and descriptive mineral maps and outperforms the single-label RF classification for the mineral mapping task.
MULTI-SCALE BUILDING MAPS FROM AERIAL IMAGERY
Authors: Feng Y. , Yang C. , Sester M.
Published: August 2020

Abstract. Nowadays, the extraction of buildings from aerial imagery is mainly done through deep convolutional neural networks (DCNNs). Buildings are predicted as binary pixel masks and then regularized to polygons. Restricted by nearby occlusions (such as trees), building eaves, and sometimes imperfect imagery data, these results can hardly be used to generate detailed building footprints comparable to authoritative data. Therefore, most products can only be used for mapping at smaller map scale. The level of detail that should be retained is normally determined by the scale parameter in the regularization algorithm. However, this scale information has been already defined in cartography. From existing maps of different scales, neural network can be used to learn such scale information implicitly. The network can perform generalization directly on the mask output and generate multi-scale building maps at once.In this work, a pipeline method is proposed, which can generate multi-scale building maps from aerial imagery directly. We used a land cover classification model to provide the building blobs. With the models pre-trained for cartographic building generalization, blobs were generalized to three target map scales, 1:10,000, 1:15,000, and 1:25,000. After post-processing with vectorization and regularization, multi-scale building maps were generated and then compared with existing authoritative building data qualitatively and quantitatively. In addition, change detection was performed and suggestions for unmapped buildings could be provided at a desired map scale.
WATER EXTRACTION ON THE HYPERSPECTRAL IMAGES OF GAOFEN-5 SATELLITE USING SPECTRAL INDICES
Authors: Liu Y. , Xiao C. C.
Published: August 2020

Abstract. Water extraction from remote sensing images can be applied in water resources monitoring, as well as an essential preprocessing for water quality parameter retrieval. China’s new generation Gaofen-5 satellite carries a hyperspectral imager named AHSI, which is suitable for water quality monitoring. In this paper, to determine the spectral index most suitable for AHSI data’s water extraction, we selected a large lake and a reservoir in China as the study areas, and used corresponding AHSI data for water extraction experiment. In the experiment, NDWI, MNDWI and AWEI were all tested on the AHSI reflectance data, and major water bodies were delineated by implementing the histogram bimodal method on the water index images. Based on analyses with water index images and water extraction results, NDWI is shown to be the optimal index for water extraction of AHSI data among these three widely-used indexes, as it can accurately extract water bodies and also eliminate pixels of water plants or shadows between land and water. In addition, MNDWI can be used on AHSI data since it is most robust in terms of providing a bimodal histogram. AWEI is, however, not suggested to be used for water extraction of the AHSI data.