Auswahl der wissenschaftlichen Literatur zum Thema „G.W. Clarke (firm)“

O objetivo central deste artigo é tentar compreender por meio da visão dos colaboradores de uma pequena empresa de produtos ortopédicos, as suas principais percepções, relacionadas ao compartilhamento de conhecimento organizacional. O método escolhido para a pesquisa é qualitativo com a tipologia qualitativa básica. Para a análise de resultados, foi utilizada a técnica de análise temática de Braun e Clarke. Os principais resultados encontrados demonstram que o compartilhamento de conhecimento na organização é realizado por intermédio da utilização das tecnologias de comunicações comuns ao público, assim como, com a realização frequente da técnica de brainstorming, conversas rápidas e outras estratégias para resolução de problemas conforme identificados nesta pesquisa. Referências Alavi, M., & Leidn, D. E. (2001). Knowledge management and knowledge management systems: Conceptual foundations and research issues. MIS Quarterly, 25, 107–136. Allameh, S. M.; Khozani, M. K.; Baniasadi, B. (2020) Consequences of knowledge processes in small businesses: the role of knowledge acquisition, dynamic capabilities, knowledge sharing and creativity. Int. J. Process Management and Benchmarking, Vol. 10, No. 1. Braun, V.; Clarke, V. (2012) Thematic analysis. In: Cooper, H. et al. (Eds.). APA handbook of research methods in psychology, v. 2, Research designs: Quantitative, qualitative, neuropsychological, and biological. Washington, DC: American Psychological Association, v. 2 p. 57-71. Creswell, J. W. (2007) Projeto de pesquisa: Métodos qualitativo, quantitativo e misto. 2. ed. Porto Alegre: Artmed. Cummings, J. (2003) Knowledge Sharing: A Review of the Literature. Washington D. C.: The World Bank Operations Evaluation Department. Dalkir, K. (2005) Knowledge Management in Theory and Practice. Oxford, UK: Elsevier. Drucker, P. F. (1993) Sociedade Pós-Capitalista. São Paulo: Pioneira. Gold H. A.; Malhotra, A; Segars, A, H.; (2001). Knowledge management: An Organizational Capabilities Perspective. Journal of Management Information Systems, 18 (1), 185-214. Gray, C. (2006). Absorptive capacity, knowledge management and innovation in entrepreneurial small firms. International Journal of Entrepreneurial Behavior & Research, 12 (6),345-360. Harel, R.; Schwartz, D.; Kaufmann, D. (2020) Sharing knowledge processes for promoting innovation in small businesses. European Journal of Innovation Management. ISO 30401:2018. (2018) International Organization For Standardization. Knowledge Management Systems – Requirements. Genebra: ISO. Kayas, O, G.; Wright, G. (2018) Knowledge Management and Organisational Culture. The Palgrave Handbook of Knowledge Management. ISBN 978-3-319-71434-9 (eBook). Merriam, S. B. (2009) Qualitative research: a guide to design and implementation. San Francisco: Jossey-Bass/Wiley, 2009. Morgan, G. (1980) Paradigms, metaphors, and puzzle solving in organization theory. Administrative Science Quarterly, v. 25, n. 4, p. 605-622. Na Ubon, A.; Kimble, C. (2002) Knowledge Management in Online Distance Education. Proceedings of the 3rd International Conference Networked Learning, University of Sheffield, UK, pp. 465-473. Ngah e Ibrahim (2010). The Effect of Knowledge Sharing on Organizational Performance in Small and Medium Enterprises. Santos, N.; Rados, G. J. V. (2020) Fundamentos teóricos de gestão do conhecimento. E-book. – 1. ed. – Florianópolis: Pandion, 114 p. Takeuchi, H.; Nonaka, I. (2008) Criação e dialética do conhecimento. In: Takeuchi, H.; Nonaka, I. Gestão do conhecimento. Porto Alegre: Bookman. Utami, Y.; Rofik, M.; Cahyaningtyas, N. W.; Darminto, D. P. (2021). Impact of Knowledge Sharing and Innovation on Small Business Performance. CISIS 2020: Complex, Intelligent and Software Intensive Systems pp 408-411.

A World Among these Islands: Essays on Literature, Race, and National Identity in Antillean America, by Roberto Márquez (reviewed by Peter Hulme) Caribbean Reasonings: The Thought of New World, The Quest for Decolonisation, edited by Brian Meeks & Norman Girvan (reviewed by Cary Fraser) Elusive Origins: The Enlightenment in the Modern Caribbean Historical Imagination, by Paul B. Miller (reviewed by Kerstin Oloff) Caribbean Perspectives on Modernity: Returning Medusa’s Gaze, by Maria Cristina Fumagalli (reviewed by Maureen Shay) Who Abolished Slavery: Slave Revolts and Abolitionism: A Debate with João Pedro Marques, edited by Seymour Drescher & Pieter C. Emmer, and Abolitionism and Imperialism in Britain, Africa, and the Atlantic, edited by Derek R . Peterson (reviewed by Claudius Fergus) The Mediterranean Apprenticeship of British Slavery, by Gustav Ungerer (reviewed by James Walvin) Children in Slavery through the Ages, edited by Gwyn Campbell, Suzanne Miers & Joseph C. Miller (reviewed by Indrani Chatterjee) The Invisible Hook: The Hidden Economics of Pirates, by Peter T. Leeson (reviewed by Kris Lane) Theorizing a Colonial Caribbean-Atlantic Imaginary: Sugar and Obeah, by Keith Sandiford (reviewed by Elaine Savory) Created in the West Indies: Caribbean Perspectives on V.S. Naipaul, edited by Jennifer Rahim & Barbara Lalla (reviewed by Supriya M. Nair) Thiefing Sugar: Eroticism between Women in Caribbean Literature, by Omise’eke Natasha Tinsley (reviewed by Lyndon K. Gill) Haiti Unbound: A Spiralist Challenge to the Postcolonial Canon, by Kaiama L. Glover (reviewed by Asselin Charles) Divergent Dictions: Contemporary Dominican Literature, by Néstor E. Rodríguez (reviewed by Dawn F. Stinchcomb) The Caribbean Short Story: Critical Perspectives, edited by Lucy Evans, Mark McWatt & Emma Smith (reviewed by Leah Rosenberg) Society of the Dead: Quita Manaquita and Palo Praise in Cuba, by Todd Ramón Ochoa (reviewed by Brian Brazeal) El Lector: A History of the Cigar Factory Reader, by Araceli Tinajero (reviewed by Juan José Baldrich) Blazing Cane: Sugar Communities, Class, and State Formation in Cuba, 1868-1959, by Gillian McGillivray (reviewed by Consuelo Naranjo Orovio) The Purposes of Paradise: U.S. Tourism and Empire in Cuba and Hawai’i, by Christine Skwiot (reviewed by Amalia L. Cabezas) A History of the Cuban Revolution, by Aviva Chomsky (reviewed by Michelle Chase) The Cubalogues: Beat Writers in Revolutionary Havana, by Todd F. Tietchen (reviewed by Stephen Fay) The Devil in the Details: Cuban Antislavery Narrative in the Postmodern Age, by Claudette M. Williams (reviewed by Gera Burton) Screening Cuba: Film Criticism as Political Performance during the Cold War, by Hector Amaya (reviewed by Ann Marie Stock) Perceptions of Cuba: Canadian and American Policies in Comparative Perspective, by Lana Wylie (reviewed by Julia Sagebien) Forging Diaspora: Afro-Cubans and African Americans in a World of Empire and Jim Crow, by Frank Andre Guridy (reviewed by Susan Greenbaum) The Irish in the Atlantic World, edited by David T. Gleeson (reviewed by Donald Harman Akenson) The Chinese in Latin America and the Caribbean, edited by Walton Look Lai & Tan Chee-Beng (reviewed by John Kuo Wei Tchen) The Island of One People: An Account of the History of the Jews of Jamaica, by Marilyn Delevante & Anthony Alberga (reviewed by Barry Stiefel) Creole Jews: Negotiating Community in Colonial Suriname, by Wieke Vink (reviewed by Aviva Ben-Ur) Only West Indians: Creole Nationalism in the British West Indies, by F.S.J. Ledgister (reviewed by Jerome Teelucksingh) Cultural DNA: Gender at the Root of Everyday Life in Rural Jamaica, by Diana J. Fox (reviewed by Jean Besson) Women in Grenadian History, 1783-1983, by Nicole Laurine Phillip (reviewed by Bernard Moitt) British-Controlled Trinidad and Venezuela: A History of Economic Interests and Subversions, 1830-1962, by Kelvin Singh (reviewed by Stephen G. Rabe) Export/Import Trends and Economic Development in Trinidad, 1919-1939, by Doddridge H.N. Alleyne (reviewed by Rita Pemberton) Post-Colonial Trinidad: An Ethnographic Journal, by Colin Clarke & Gillian Clarke (reviewed by Patricia van Leeuwaarde Moonsammy) Poverty in Haiti: Essays on Underdevelopment and Post Disaster Prospects, by Mats Lundahl (reviewed by Robert Fatton Jr.) From Douglass to Duvalier: U.S. African Americans, Haiti, and Pan Americanism, 1870-1964, by Millery Polyné (reviewed by Brenda Gayle Plummer) Haiti Rising: Haitian History, Culture and the Earthquake of 2010, edited by Martin Munro (reviewed by Jonna Knappenberger) Faith Makes Us Live: Surviving and Thriving in the Haitian Diaspora, by Margarita A. Mooney (reviewed by Rose-Marie Chierici) This Spot of Ground: Spiritual Baptists in Toronto, by Carol B. Duncan (reviewed by James Houk) Interroger les morts: Essai sur le dynamique politique des Noirs marrons ndjuka du Surinam et de la Guyane, by Jean-Yves Parris (reviewed by H.U.E. Thoden van Velzen & W. van Wetering)

<p>Celem artykułu była analiza prawnych aspektów funkcjonowania przedsiębiorstw w związku ze zmianami w prawie pracy, które zostały wprowadzone w związku z wejściem w życie ustawy z dnia 21 lutego 2019 r. o zmianie niektórych ustaw w związku z zapewnieniem stosowania rozporządzenia ogólnego o ochronie danych osobowych (RODO). Realizacja nowych uregulowań prawnych wiąże się z koniecznością zmiany procedur rekrutacji nowych pracowników. Uporządkowany został także obszar przetwarzania danych osobowych osób już zatrudnionych w przedsiębiorstwach. Zagadnienie to ma istotne znaczenie z uwagi na szerokie spektrum zagrożeń dla funkcjonowania firm w przypadku niestosowania w praktyce nowych przepisów. Wśród nich wskazać należy m.in. kary finansowe, które może nałożyć Prezes Urzędu Ochrony Danych Osobowych.</p>

AbstractPhytoplankton of the Balkhash Lake was represented by 91 species with average abundance of 1,002.4 mln. ind. m−3and average biomass of 0.853 g m−3in summer 2004. Maps of spatial distribution revealed that phytoplankton abundance was confined within the near-estuary sections of the rivers. Correlation analysis and 3D Surface Plots showed that the average mass of the algal cell decreased with increased phytoplankton abundance, species richness, and Shannon Bi index values. Synchronicity of the spatial dynamics of W-Clarke and Δ-Shannon values evidenced the possibility of obtaining information on the structure of communities by both calculated and graphical methods.

Teza. „Wyuczona bezradność” stała się zjawiskiem, które w XXI wieku jest ściśle związane ze sposobem funkcjonowania pracownika we wszystkich organizacjach (tak w dużych, jak i w małych firmach), ale także z ryzykiem, z którym muszą liczyć się osoby zarządzające bądź działy zasobów ludzkich. Sam problem dotyczy także przedstawicieli wolnych zawodów i osób samozatrudnionych. Artykuł ukazuje sposób funkcjonowania jednostki wykazującej wyuczoną bezradność oraz różnego rodzaju deficyty, na które jest ona narażona. Omówione koncepcje. Na potrzeby artykułu zostały omówione koncepcje wyuczonej bezradności (M. E. P. Seligman; L. Y. Abramson i J. Teasdale; M. Kofta i G. Sędek) oraz konstrukty Ja (Ja podmiotowe, Ja przedmiotowe, Ja idealne, Ja realne, Ja powinnościowe). Wyniki i wnioski. „Wyuczona bezradność” jest czynnikiem, który w znaczący sposób wpływa na kondycję psychiczną człowieka. Mechanizm ten znajduje negatywne odzwierciedlenie w samoocenie człowieka, co w dużym stopniu modyfikuje jego motywację oraz chęć do działania. W rzeczywistości organizacyjnej wspomniane aspekty w sposób bezpośredni przekładają się na efektywność pracy i lojalność pracowniczą, co odbija się na jakości świadczonych usług i migracji kadry. Oryginalność/wartość poznawcza podejścia. Połączenie tematyki z zakresu psychologii organizacji i psychologii zarządzania, która znajduje swoje odzwierciedlenie w zmieniającej się rzeczywistości pracowników firm, zarówno tych małych, jak i dużych. Ukazuje ono mechanizm funkcjonowania człowieka oraz jego szanse i zagrożenia we współczesnym świecie.

Rapid urbanization rates impact significantly on the nature of Land Cover patterns of the environment, which has been evident in the depletion of vegetal reserves and in general modifying the human climatic systems (Henderson, et al., 2017; Kumar, Masago, Mishra, & Fukushi, 2018; Luo and Lau, 2017). This study explores remote sensing classification technique and other auxiliary data to determine LULCC for a period of 50 years (1967-2016). The LULCC types identified were quantitatively evaluated using the change detection approach from results of maximum likelihood classification algorithm in GIS. Accuracy assessment results were evaluated and found to be between 56 to 98 percent of the LULC classification. The change detection analysis revealed change in the LULC types in Minna from 1976 to 2016. Built-up area increases from 74.82ha in 1976 to 116.58ha in 2016. Farmlands increased from 2.23 ha to 46.45ha and bared surface increases from 120.00ha to 161.31ha between 1976 to 2016 resulting to decline in vegetation, water body, and wetlands. The Decade of rapid urbanization was found to coincide with the period of increased Public Private Partnership Agreement (PPPA). Increase in farmlands was due to the adoption of urban agriculture which has influence on food security and the environmental sustainability. The observed increase in built up areas, farmlands and bare surfaces has substantially led to reduction in vegetation and water bodies. The oscillatory nature of water bodies LULCC which was not particularly consistent with the rates of urbanization also suggests that beyond the urbanization process, other factors may influence the LULCC of water bodies in urban settlements. Keywords: Minna, Niger State, Remote Sensing, Land Surface Characteristics References Akinrinmade, A., Ibrahim, K., & Abdurrahman, A. (2012). Geological Investigation of Tagwai Dams using Remote Sensing Technique, Minna Niger State, Nigeria. Journal of Environment, 1(01), pp. 26-32. Amadi, A., & Olasehinde, P. (2010). Application of remote sensing techniques in hydrogeological mapping of parts of Bosso Area, Minna, North-Central Nigeria. International Journal of Physical Sciences, 5(9), pp. 1465-1474. Aplin, P., & Smith, G. (2008). Advances in object-based image classification. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 37(B7), pp. 725-728. Ayele, G. T., Tebeje, A. K., Demissie, S. S., Belete, M. A., Jemberrie, M. A., Teshome, W. M., . . . Teshale, E. Z. (2018). Time Series Land Cover Mapping and Change Detection Analysis Using Geographic Information System and Remote Sensing, Northern Ethiopia. Air, Soil and Water Research, 11, p 1178622117751603. Azevedo, J. A., Chapman, L., & Muller, C. L. (2016). Quantifying the daytime and night-time urban heat island in Birmingham, UK: a comparison of satellite derived land surface temperature and high resolution air temperature observations. Remote Sensing, 8(2), p 153. Blaschke, T., Hay, G. J., Kelly, M., Lang, S., Hofmann, P., Addink, E., . . . van Coillie, F. (2014). Geographic object-based image analysis–towards a new paradigm. ISPRS Journal of Photogrammetry and Remote Sensing, 87, pp. 180-191. Bukata, R. P., Jerome, J. H., Kondratyev, A. S., & Pozdnyakov, D. V. (2018). Optical properties and remote sensing of inland and coastal waters: CRC press. Camps-Valls, G., Tuia, D., Bruzzone, L., & Benediktsson, J. A. (2014). Advances in hyperspectral image classification: Earth monitoring with statistical learning methods. IEEE signal processing magazine, 31(1), pp. 45-54. Chen, J., Chen, J., Liao, A., Cao, X., Chen, L., Chen, X., . . . Lu, M. (2015). Global land cover mapping at 30 m resolution: A POK-based operational approach. ISPRS Journal of Photogrammetry and Remote Sensing, 103, pp. 7-27. Chen, M., Mao, S., & Liu, Y. (2014). Big data: A survey. Mobile networks and applications, 19(2), pp. 171-209. Cheng, G., Han, J., Guo, L., Liu, Z., Bu, S., & Ren, J. (2015). Effective and efficient midlevel visual elements-oriented land-use classification using VHR remote sensing images. IEEE transactions on geoscience and remote sensing, 53(8), pp. 4238-4249. Cheng, G., Han, J., Zhou, P., & Guo, L. (2014). Multi-class geospatial object detection and geographic image classification based on collection of part detectors. ISPRS Journal of Photogrammetry and Remote Sensing, 98, pp. 119-132. Coale, A. J., & Hoover, E. M. (2015). Population growth and economic development: Princeton University Press. Congalton, R. G., & Green, K. (2008). Assessing the accuracy of remotely sensed data: principles and practices: CRC press. Corner, R. J., Dewan, A. M., & Chakma, S. (2014). Monitoring and prediction of land-use and land-cover (LULC) change Dhaka megacity (pp. 75-97): Springer. Coutts, A. M., Harris, R. J., Phan, T., Livesley, S. J., Williams, N. S., & Tapper, N. J. (2016). Thermal infrared remote sensing of urban heat: Hotspots, vegetation, and an assessment of techniques for use in urban planning. Remote Sensing of Environment, 186, pp. 637-651. Debnath, A., Debnath, J., Ahmed, I., & Pan, N. D. (2017). Change detection in Land use/cover of a hilly area by Remote Sensing and GIS technique: A study on Tropical forest hill range, Baramura, Tripura, Northeast India. International journal of geomatics and geosciences, 7(3), pp. 293-309. Desheng, L., & Xia, F. (2010). Assessing object-based classification: advantages and limitations. Remote Sensing Letters, 1(4), pp. 187-194. Dewan, A. M., & Yamaguchi, Y. (2009). Land use and land cover change in Greater Dhaka, Bangladesh: Using remote sensing to promote sustainable urbanization. Applied Geography, 29(3), pp. 390-401. Dronova, I., Gong, P., Wang, L., & Zhong, L. (2015). Mapping dynamic cover types in a large seasonally flooded wetland using extended principal component analysis and object-based classification. Remote Sensing of Environment, 158, pp. 193-206. Duro, D. C., Franklin, S. E., & Dubé, M. G. (2012). A comparison of pixel-based and object-based image analysis with selected machine learning algorithms for the classification of agricultural landscapes using SPOT-5 HRG imagery. Remote Sensing of Environment, 118, pp. 259-272. Elmhagen, B., Destouni, G., Angerbjörn, A., Borgström, S., Boyd, E., Cousins, S., . . . Hambäck, P. (2015). Interacting effects of change in climate, human population, land use, and water use on biodiversity and ecosystem services. Ecology and Society, 20(1) Farhani, S., & Ozturk, I. (2015). Causal relationship between CO 2 emissions, real GDP, energy consumption, financial development, trade openness, and urbanization in Tunisia. Environmental Science and Pollution Research, 22(20), pp. 15663-15676. Feng, L., Chen, B., Hayat, T., Alsaedi, A., & Ahmad, B. (2017). The driving force of water footprint under the rapid urbanization process: a structural decomposition analysis for Zhangye city in China. Journal of Cleaner Production, 163, pp. S322-S328. Fensham, R., & Fairfax, R. (2002). Aerial photography for assessing vegetation change: a review of applications and the relevance of findings for Australian vegetation history. Australian Journal of Botany, 50(4), pp. 415-429. Ferreira, N., Lage, M., Doraiswamy, H., Vo, H., Wilson, L., Werner, H., . . . Silva, C. (2015). Urbane: A 3d framework to support data driven decision making in urban development. Visual Analytics Science and Technology (VAST), 2015 IEEE Conference on. Garschagen, M., & Romero-Lankao, P. (2015). Exploring the relationships between urbanization trends and climate change vulnerability. Climatic Change, 133(1), pp. 37-52. Gokturk, S. B., Sumengen, B., Vu, D., Dalal, N., Yang, D., Lin, X., . . . Torresani, L. (2015). System and method for search portions of objects in images and features thereof: Google Patents. Government, N. S. (2007). Niger state (The Power State). Retrieved from http://nigerstate.blogspot.com.ng/ Green, K., Kempka, D., & Lackey, L. (1994). Using remote sensing to detect and monitor land-cover and land-use change. Photogrammetric engineering and remote sensing, 60(3), pp. 331-337. Gu, W., Lv, Z., & Hao, M. (2017). Change detection method for remote sensing images based on an improved Markov random field. Multimedia Tools and Applications, 76(17), pp. 17719-17734. Guo, Y., & Shen, Y. (2015). Quantifying water and energy budgets and the impacts of climatic and human factors in the Haihe River Basin, China: 2. Trends and implications to water resources. Journal of Hydrology, 527, pp. 251-261. Hadi, F., Thapa, R. B., Helmi, M., Hazarika, M. K., Madawalagama, S., Deshapriya, L. N., & Center, G. (2016). Urban growth and land use/land cover modeling in Semarang, Central Java, Indonesia: Colombo-Srilanka, ACRS2016. Hagolle, O., Huc, M., Villa Pascual, D., & Dedieu, G. (2015). A multi-temporal and multi-spectral method to estimate aerosol optical thickness over land, for the atmospheric correction of FormoSat-2, LandSat, VENμS and Sentinel-2 images. Remote Sensing, 7(3), pp. 2668-2691. Hegazy, I. R., & Kaloop, M. R. (2015). Monitoring urban growth and land use change detection with GIS and remote sensing techniques in Daqahlia governorate Egypt. International Journal of Sustainable Built Environment, 4(1), pp. 117-124. Henderson, J. V., Storeygard, A., & Deichmann, U. (2017). Has climate change driven urbanization in Africa? Journal of development economics, 124, pp. 60-82. Hu, L., & Brunsell, N. A. (2015). A new perspective to assess the urban heat island through remotely sensed atmospheric profiles. Remote Sensing of Environment, 158, pp. 393-406. Hughes, S. J., Cabral, J. A., Bastos, R., Cortes, R., Vicente, J., Eitelberg, D., . . . Santos, M. (2016). A stochastic dynamic model to assess land use change scenarios on the ecological status of fluvial water bodies under the Water Framework Directive. Science of the Total Environment, 565, pp. 427-439. Hussain, M., Chen, D., Cheng, A., Wei, H., & Stanley, D. (2013). Change detection from remotely sensed images: From pixel-based to object-based approaches. ISPRS Journal of Photogrammetry and Remote Sensing, 80, pp. 91-106. Hyyppä, J., Hyyppä, H., Inkinen, M., Engdahl, M., Linko, S., & Zhu, Y.-H. (2000). Accuracy comparison of various remote sensing data sources in the retrieval of forest stand attributes. Forest Ecology and Management, 128(1-2), pp. 109-120. Jiang, L., Wu, F., Liu, Y., & Deng, X. (2014). Modeling the impacts of urbanization and industrial transformation on water resources in China: an integrated hydro-economic CGE analysis. Sustainability, 6(11), pp. 7586-7600. Jin, S., Yang, L., Zhu, Z., & Homer, C. (2017). A land cover change detection and classification protocol for updating Alaska NLCD 2001 to 2011. Remote Sensing of Environment, 195, pp. 44-55. Joshi, N., Baumann, M., Ehammer, A., Fensholt, R., Grogan, K., Hostert, P., . . . Mitchard, E. T. (2016). A review of the application of optical and radar remote sensing data fusion to land use mapping and monitoring. Remote Sensing, 8(1), p 70. Kaliraj, S., Chandrasekar, N., & Magesh, N. (2015). Evaluation of multiple environmental factors for site-specific groundwater recharge structures in the Vaigai River upper basin, Tamil Nadu, India, using GIS-based weighted overlay analysis. Environmental earth sciences, 74(5), pp. 4355-4380. Koop, S. H., & van Leeuwen, C. J. (2015). Assessment of the sustainability of water resources management: A critical review of the City Blueprint approach. Water Resources Management, 29(15), pp. 5649-5670. Kumar, P., Masago, Y., Mishra, B. K., & Fukushi, K. (2018). Evaluating future stress due to combined effect of climate change and rapid urbanization for Pasig-Marikina River, Manila. Groundwater for Sustainable Development, 6, pp. 227-234. Lang, S. (2008). Object-based image analysis for remote sensing applications: modeling reality–dealing with complexity Object-based image analysis (pp. 3-27): Springer. Li, M., Zang, S., Zhang, B., Li, S., & Wu, C. (2014). A review of remote sensing image classification techniques: The role of spatio-contextual information. European Journal of Remote Sensing, 47(1), pp. 389-411. Liddle, B. (2014). Impact of population, age structure, and urbanization on carbon emissions/energy consumption: evidence from macro-level, cross-country analyses. Population and Environment, 35(3), pp. 286-304. Lillesand, T., Kiefer, R. W., & Chipman, J. (2014). Remote sensing and image interpretation: John Wiley & Sons. Liu, Y., Wang, Y., Peng, J., Du, Y., Liu, X., Li, S., & Zhang, D. (2015). Correlations between urbanization and vegetation degradation across the world’s metropolises using DMSP/OLS nighttime light data. Remote Sensing, 7(2), pp. 2067-2088. López, E., Bocco, G., Mendoza, M., & Duhau, E. (2001). Predicting land-cover and land-use change in the urban fringe: a case in Morelia city, Mexico. Landscape and urban planning, 55(4), pp. 271-285. Luo, M., & Lau, N.-C. (2017). Heat waves in southern China: Synoptic behavior, long-term change, and urbanization effects. Journal of Climate, 30(2), pp. 703-720. Mahboob, M. A., Atif, I., & Iqbal, J. (2015). Remote sensing and GIS applications for assessment of urban sprawl in Karachi, Pakistan. Science, Technology and Development, 34(3), pp. 179-188. Mallinis, G., Koutsias, N., Tsakiri-Strati, M., & Karteris, M. (2008). Object-based classification using Quickbird imagery for delineating forest vegetation polygons in a Mediterranean test site. ISPRS Journal of Photogrammetry and Remote Sensing, 63(2), pp. 237-250. Mas, J.-F., Velázquez, A., Díaz-Gallegos, J. R., Mayorga-Saucedo, R., Alcántara, C., Bocco, G., . . . Pérez-Vega, A. (2004). Assessing land use/cover changes: a nationwide multidate spatial database for Mexico. International Journal of Applied Earth Observation and Geoinformation, 5(4), pp. 249-261. Mathew, A., Chaudhary, R., Gupta, N., Khandelwal, S., & Kaul, N. (2015). Study of Urban Heat Island Effect on Ahmedabad City and Its Relationship with Urbanization and Vegetation Parameters. International Journal of Computer & Mathematical Science, 4, pp. 2347-2357. Megahed, Y., Cabral, P., Silva, J., & Caetano, M. (2015). Land cover mapping analysis and urban growth modelling using remote sensing techniques in greater Cairo region—Egypt. ISPRS International Journal of Geo-Information, 4(3), pp. 1750-1769. Metternicht, G. (2001). Assessing temporal and spatial changes of salinity using fuzzy logic, remote sensing and GIS. Foundations of an expert system. Ecological modelling, 144(2-3), pp. 163-179. Miller, R. B., & Small, C. (2003). Cities from space: potential applications of remote sensing in urban environmental research and policy. Environmental Science & Policy, 6(2), pp. 129-137. Mirzaei, P. A. (2015). Recent challenges in modeling of urban heat island. Sustainable Cities and Society, 19, pp. 200-206. Mohammed, I., Aboh, H., & Emenike, E. (2007). A regional geoelectric investigation for groundwater exploration in Minna area, north west Nigeria. Science World Journal, 2(4) Morenikeji, G., Umaru, E., Liman, S., & Ajagbe, M. (2015). Application of Remote Sensing and Geographic Information System in Monitoring the Dynamics of Landuse in Minna, Nigeria. International Journal of Academic Research in Business and Social Sciences, 5(6), pp. 320-337. Mukherjee, A. B., Krishna, A. P., & Patel, N. (2018). Application of Remote Sensing Technology, GIS and AHP-TOPSIS Model to Quantify Urban Landscape Vulnerability to Land Use Transformation Information and Communication Technology for Sustainable Development (pp. 31-40): Springer. Myint, S. W., Gober, P., Brazel, A., Grossman-Clarke, S., & Weng, Q. (2011). Per-pixel vs. object-based classification of urban land cover extraction using high spatial resolution imagery. Remote Sensing of Environment, 115(5), pp. 1145-1161. Nemmour, H., & Chibani, Y. (2006). Multiple support vector machines for land cover change detection: An application for mapping urban extensions. ISPRS Journal of Photogrammetry and Remote Sensing, 61(2), pp. 125-133. Niu, X., & Ban, Y. (2013). Multi-temporal RADARSAT-2 polarimetric SAR data for urban land-cover classification using an object-based support vector machine and a rule-based approach. International journal of remote sensing, 34(1), pp. 1-26. Nogueira, K., Penatti, O. A., & dos Santos, J. A. (2017). Towards better exploiting convolutional neural networks for remote sensing scene classification. Pattern Recognition, 61, pp. 539-556. Oguz, H., & Zengin, M. (2011). Analyzing land use/land cover change using remote sensing data and landscape structure metrics: a case study of Erzurum, Turkey. Fresenius Environmental Bulletin, 20(12), pp. 3258-3269. Pohl, C., & Van Genderen, J. L. (1998). Review article multisensor image fusion in remote sensing: concepts, methods and applications. International journal of remote sensing, 19(5), pp. 823-854. Price, O., & Bradstock, R. (2014). Countervailing effects of urbanization and vegetation extent on fire frequency on the Wildland Urban Interface: Disentangling fuel and ignition effects. Landscape and urban planning, 130, pp. 81-88. Prosdocimi, I., Kjeldsen, T., & Miller, J. (2015). Detection and attribution of urbanization effect on flood extremes using nonstationary flood‐frequency models. Water resources research, 51(6), pp. 4244-4262. Rawat, J., & Kumar, M. (2015). Monitoring land use/cover change using remote sensing and GIS techniques: A case study of Hawalbagh block, district Almora, Uttarakhand, India. The Egyptian Journal of Remote Sensing and Space Science, 18(1), pp. 77-84. Rokni, K., Ahmad, A., Solaimani, K., & Hazini, S. (2015). A new approach for surface water change detection: Integration of pixel level image fusion and image classification techniques. International Journal of Applied Earth Observation and Geoinformation, 34, pp. 226-234. Sakieh, Y., Amiri, B. J., Danekar, A., Feghhi, J., & Dezhkam, S. (2015). Simulating urban expansion and scenario prediction using a cellular automata urban growth model, SLEUTH, through a case study of Karaj City, Iran. Journal of Housing and the Built Environment, 30(4), pp. 591-611. Santra, A. (2016). Land Surface Temperature Estimation and Urban Heat Island Detection: A Remote Sensing Perspective. Remote Sensing Techniques and GIS Applications in Earth and Environmental Studies, p 16. Shrivastava, L., & Nag, S. (2017). MONITORING OF LAND USE/LAND COVER CHANGE USING GIS AND REMOTE SENSING TECHNIQUES: A CASE STUDY OF SAGAR RIVER WATERSHED, TRIBUTARY OF WAINGANGA RIVER OF MADHYA PRADESH, INDIA. Shuaibu, M., & Sulaiman, I. (2012). Application of remote sensing and GIS in land cover change detection in Mubi, Adamawa State, Nigeria. J Technol Educ Res, 5, pp. 43-55. Song, B., Li, J., Dalla Mura, M., Li, P., Plaza, A., Bioucas-Dias, J. M., . . . Chanussot, J. (2014). Remotely sensed image classification using sparse representations of morphological attribute profiles. IEEE transactions on geoscience and remote sensing, 52(8), pp. 5122-5136. Song, X.-P., Sexton, J. O., Huang, C., Channan, S., & Townshend, J. R. (2016). Characterizing the magnitude, timing and duration of urban growth from time series of Landsat-based estimates of impervious cover. Remote Sensing of Environment, 175, pp. 1-13. Tayyebi, A., Shafizadeh-Moghadam, H., & Tayyebi, A. H. (2018). Analyzing long-term spatio-temporal patterns of land surface temperature in response to rapid urbanization in the mega-city of Tehran. Land Use Policy, 71, pp. 459-469. Teodoro, A. C., Gutierres, F., Gomes, P., & Rocha, J. (2018). Remote Sensing Data and Image Classification Algorithms in the Identification of Beach Patterns Beach Management Tools-Concepts, Methodologies and Case Studies (pp. 579-587): Springer. Toth, C., & Jóźków, G. (2016). Remote sensing platforms and sensors: A survey. ISPRS Journal of Photogrammetry and Remote Sensing, 115, pp. 22-36. Tuholske, C., Tane, Z., López-Carr, D., Roberts, D., & Cassels, S. (2017). Thirty years of land use/cover change in the Caribbean: Assessing the relationship between urbanization and mangrove loss in Roatán, Honduras. Applied Geography, 88, pp. 84-93. Tuia, D., Flamary, R., & Courty, N. (2015). Multiclass feature learning for hyperspectral image classification: Sparse and hierarchical solutions. ISPRS Journal of Photogrammetry and Remote Sensing, 105, pp. 272-285. Tzotsos, A., & Argialas, D. (2008). Support vector machine classification for object-based image analysis Object-Based Image Analysis (pp. 663-677): Springer. Wang, L., Sousa, W., & Gong, P. (2004). Integration of object-based and pixel-based classification for mapping mangroves with IKONOS imagery. International journal of remote sensing, 25(24), pp. 5655-5668. Wang, Q., Zeng, Y.-e., & Wu, B.-w. (2016). Exploring the relationship between urbanization, energy consumption, and CO2 emissions in different provinces of China. Renewable and Sustainable Energy Reviews, 54, pp. 1563-1579. Wang, S., Ma, H., & Zhao, Y. (2014). Exploring the relationship between urbanization and the eco-environment—A case study of Beijing–Tianjin–Hebei region. Ecological Indicators, 45, pp. 171-183. Weitkamp, C. (2006). Lidar: range-resolved optical remote sensing of the atmosphere: Springer Science & Business. Wellmann, T., Haase, D., Knapp, S., Salbach, C., Selsam, P., & Lausch, A. (2018). Urban land use intensity assessment: The potential of spatio-temporal spectral traits with remote sensing. Ecological Indicators, 85, pp. 190-203. Whiteside, T. G., Boggs, G. S., & Maier, S. W. (2011). Comparing object-based and pixel-based classifications for mapping savannas. International Journal of Applied Earth Observation and Geoinformation, 13(6), pp. 884-893. Willhauck, G., Schneider, T., De Kok, R., & Ammer, U. (2000). Comparison of object oriented classification techniques and standard image analysis for the use of change detection between SPOT multispectral satellite images and aerial photos. Proceedings of XIX ISPRS congress. Winker, D. M., Vaughan, M. A., Omar, A., Hu, Y., Powell, K. A., Liu, Z., . . . Young, S. A. (2009). Overview of the CALIPSO mission and CALIOP data processing algorithms. Journal of Atmospheric and Oceanic Technology, 26(11), pp. 2310-2323. Yengoh, G. T., Dent, D., Olsson, L., Tengberg, A. E., & Tucker III, C. J. (2015). Use of the Normalized Difference Vegetation Index (NDVI) to Assess Land Degradation at Multiple Scales: Current Status, Future Trends, and Practical Considerations: Springer. Yu, Q., Gong, P., Clinton, N., Biging, G., Kelly, M., & Schirokauer, D. (2006). Object-based detailed vegetation classification with airborne high spatial resolution remote sensing imagery. Photogrammetric Engineering & Remote Sensing, 72(7), pp. 799-811. Zhou, D., Zhao, S., Zhang, L., & Liu, S. (2016). Remotely sensed assessment of urbanization effects on vegetation phenology in China's 32 major cities. Remote Sensing of Environment, 176, pp. 272-281. Zhu, Z., Fu, Y., Woodcock, C. E., Olofsson, P., Vogelmann, J. E., Holden, C., . . . Yu, Y. (2016). Including land cover change in analysis of greenness trends using all available Landsat 5, 7, and 8 images: A case study from Guangzhou, China (2000–2014). Remote Sensing of Environment, 185, pp. 243-257.

Despite the many benefits of pulses, their consumption is still very low in many Western countries. One approach to solving this issue is to develop attractive pulse-based foods, e.g., plant-based cheeses. This study aimed to assess the suitability of different types of pulse flour, from boiled and roasted yellow peas and faba beans, to develop plant-based cheese analogues. Different stabilizer combinations (kappa- and iota-carrageenan, kappa-carrageenan, and xanthan gum) were tested. The results showed that firm and sliceable pulse-based cheese analogues could be prepared using all types of pulse flour using a flour-to-water ratio of 1:4 with the addition of 1% (w/w) kappa-carrageenan. The hardness levels of the developed pulse-based cheese analogues were higher (1883–2903 g, p < 0.01) than the reference Gouda cheese (1636 g) but lower than the commercial vegan cheese analogue (5787 g, p < 0.01). Furthermore, the crude protein (4–6% wb) and total dietary fiber (6–8% wb) contents in the developed pulse-based cheese analogues were significantly (p < 0.01) higher than in the commercial vegan cheese analogue, whereas the fat contents were lower. In conclusion, flours from boiled and roasted yellow peas and faba beans have been shown to be suitable as raw materials for developing cheese analogues with nutritional benefits.