Relevant bibliographies by topics / Land-based learning

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Land-based learning'

Author: Grafiati
Published: 5 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Land-based learning"

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Bae-Dimitriadis, Michelle. "Land-Based Art Criticism: (Un)learning Land Through Art." Visual Arts Research 47, no. 2 (2021): 102–14. http://dx.doi.org/10.5406/visuartsrese.47.2.0102.

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Abstract This article provides an overview of how land-based settler colonial critique can reorient art criticism and art education to expand the scope of art and art practice to critical considerations of land politics and social justice, particularly in terms of the repatriation of Indigenous lands. In particular, land-based perspectives can help to rethink place/land by offering decolonizing methods for critiquing Western works of art that address place. Art educators’ ability to understand and critique settler colonialism in art has been hindered by Eurocentric art criticism. This article
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Ling, Feng, Yihang Zhang, Giles M. Foody, et al. "Learning-Based Superresolution Land Cover Mapping." IEEE Transactions on Geoscience and Remote Sensing 54, no. 7 (2016): 3794–810. http://dx.doi.org/10.1109/tgrs.2016.2527841.

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Spillett, Tasha. "Gender, Land, and Place: Considering Gender within Land-Based and Place-Based Learning." Journal for the Study of Religion, Nature and Culture 15, no. 1 (2021): 11–31. http://dx.doi.org/10.1558/jsrnc.39094.

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Rajeshyam Konka, Prakash. "Deep Learning for Land Use and Land Cover Classification Based on Optical Earth Observation Data: A Comprehensive Review." International Journal of Science and Research (IJSR) 13, no. 9 (2024): 1559–63. http://dx.doi.org/10.21275/sr24926074847.

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Pal, Mahesh. "Extreme‐learning‐machine‐based land cover classification." International Journal of Remote Sensing 30, no. 14 (2009): 3835–41. http://dx.doi.org/10.1080/01431160902788636.

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McKim, Aaron J., Abbey Palmer, Robert McKendree, Phillip Warsaw, and James DeDecker. "Evaluating land-based learning as a pedagogical approach." Journal of Agricultural Education 65, no. 3 (2024): 292–303. https://doi.org/10.5032/jae.v65i3.2767.

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Founded on the principles of place-based education, land-based learning collaboratively engages learners and community members in a four-step process of identification, understanding, intervention, and evaluation to enhance the sustainability of community-based agricultural systems. While scholars have provided the philosophical foundation for land-based learning, there have been no quantitative evaluations of learners engaged in this innovative pedagogical approach. Therefore, the current study explored students from two high schools in Michigan’s Upper Peninsula who participated in a land-ba
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Sanderson, Darlene, Noeman Mirza, and Heather Correale. "Indigenous Land-Based Experiential Learning in Nursing Education." Journal of Nursing Education 59, no. 12 (2020): 721. http://dx.doi.org/10.3928/01484834-20201118-12.

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Borrows, John. "OUTSIDER EDUCATION: INDIGENOUS LAW AND LAND-BASED LEARNING." Windsor Yearbook of Access to Justice 33, no. 1 (2017): 1. http://dx.doi.org/10.22329/wyaj.v33i1.4807.

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This article examines pedagogical developments in Canadian law schools related to outdoor education. In the process, it shows how recommendations from the Indian Residential Schools Truth and Reconciliation Commission can be applied, which called for law schools to create Indigenous-focused courses related to skills-based training in intercultural competency, conflict resolution, human rights and anti-racism. Land-based education on reserves can give law students meaningful context for exploring these Calls to Action. At the same time this article illustrates that taking students outside law s
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Ingram, Rebekah R., Ryan T. Ransom, and Kahente Horn-Miller. "O’nónna: A Curriculum for Land-Based Language Learning." Canadian Journal of Applied Linguistics 27, no. 2 (2024): 1–25. https://doi.org/10.37213/cjal.2024.34534.

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The Atlas of Kanyen’kehá:ka Space project (Kanyen’kehá:ka Nation, 2020; see www.mohawkatlas.org) launched in 2019 for the purposes of preserving Kanyen’kéha (Mohawk language) place names and related landscape terminology. Built using Nunaliit, a community mapping framework developed by Carleton University’s Geomatics and Cartographic Research Centre (GCRC), the Atlas is capable of pinning points onto a map and attaching media such as pronunciations, photos, videos and documents to that point. With funding for the Atlas through the Social Sciences and Humanities Research Council, the Atlas Rese
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Coiacetto, Eddo. "Learning from project based learning: a land development studio account of practice." Australian Planner 45, no. 4 (2008): 28–34. http://dx.doi.org/10.1080/07293682.2008.10753388.

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Dissertations / Theses on the topic "Land-based learning"

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Manjunatha, Bharadwaj Sandhya. "Land Cover Quantification using Autoencoder based Unsupervised Deep Learning." Thesis, Virginia Tech, 2020. http://hdl.handle.net/10919/99861.

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This work aims to develop a deep learning model for land cover quantification through hyperspectral unmixing using an unsupervised autoencoder. Land cover identification and classification is instrumental in urban planning, environmental monitoring and land management. With the technological advancements in remote sensing, hyperspectral imagery which captures high resolution images of the earth's surface across hundreds of wavelength bands, is becoming increasingly popular. The high spectral information in these images can be analyzed to identify the various target materials present in the ima
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Marian, John Baptist III. "Questioning Indian land workshop: a ceremony based approach to learning." Thesis, Montana State University, 2012. http://etd.lib.montana.edu/etd/2012/marian/MarianJ1212.pdf.

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Tafoya suggests, "Stories go in circles." This thesis is the story of learning to implement an indigenous research paradigm in a college classroom then designing the workshop because of the relationships formed together. First the thesis describes preparing for the research ceremony then focusing those relationships through the lens of Research is Ceremony. Followed by summarizing how the workshop functioned as a ceremony. Then characterizing how the four directions guided the evolution of the relational workshop. The research paradigm exemplified by indigenous scholar Shawn Wilson i
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Black, James Noel. "Development of a Support-Vector-Machine-based Supervised Learning Algorithm for Land Cover Classification Using Polarimetric SAR Imagery." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/85391.

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Land cover classification using Synthetic Aperture Radar (SAR) data has been a topic of great interest in recent literature. Food commodities output prediction through crop identification, environmental monitoring, and forest regrowth tracking are some of the many problems that can be aided by land cover classification methods. The need for fast and automated classification methods is apparent in a variety of applications involving vast amounts of SAR data. One fundamental step in any supervised learning classification algorithm is the selection and/or extraction of features present in the
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Bhatt, Deepak. "Computer Aided Algorithms Based on Mathematics and Machine Learning for Integrated GPS and INS Land Vehicle Navigation Systems." University of Toledo / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1386876868.

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Feng, Wei. "Investigation of training data issues in ensemble classification based on margin concept : application to land cover mapping." Thesis, Bordeaux 3, 2017. http://www.theses.fr/2017BOR30016/document.

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La classification a été largement étudiée en apprentissage automatique. Les méthodes d’ensemble, qui construisent un modèle de classification en intégrant des composants d’apprentissage multiples, atteignent des performances plus élevées que celles d’un classifieur individuel. La précision de classification d’un ensemble est directement influencée par la qualité des données d’apprentissage utilisées. Cependant, les données du monde réel sont souvent affectées par les problèmes de bruit d’étiquetage et de déséquilibre des données. La marge d'ensemble est un concept clé en apprentissage d'ensemb
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Couch, Evan. "“You Can’t Put a Price on Something That’s Not for Sale”: Eminent Domain in St. Paul, Virginia (1970 - 1985)." Digital Commons @ East Tennessee State University, 2018. https://dc.etsu.edu/etd/3353.

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The St. Paul Redevelopment Project was unique and touted as the first-of-its-kind to feature cooperation from all three levels of government. Several government agencies helped St. Paul accomplish an “impossible dream,” spending an estimated thirty million dollars to rechannel the Clinch River in the 1970s and 1980s. The small town of 1,000 residentsrelocated 100 families from South St. Paul to carry out the project, much to the dismay of many of the residents. A primary factor in enforcing the power of eminent domain in the St. Paul Redevelopment Project was the idea of “progress,” a commonal
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Backhaus, Vincent Stuart. "Situating the countried existence of critical indigenous pedagogies & Aborginal and Torres Strait Islander student's ways of learning." Thesis, University of Cambridge, 2019. https://www.repository.cam.ac.uk/handle/1810/288428.

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The Countried experience of Aboriginal and Torres Strait Islander Peoples of (Australia), ground a resilience and strength in sovereign thinking through the Stories we share laterally with family and inter-ancestrally through our connections to the Dreaming. The stories we share develop a sense of inalienability we have that is connected to the Countries of origin we share and identify with across the continental scape of Land, Water and Sky Country. As a formative philosophical assumption, the Countried existence that this dissertation develops, illuminates the significance of this research t
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Sievert, Rolf. "Instance Segmentation of Multiclass Litter and Imbalanced Dataset Handling : A Deep Learning Model Comparison." Thesis, Linköpings universitet, Datorseende, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-175173.

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Instance segmentation has a great potential for improving the current state of littering by autonomously detecting and segmenting different categories of litter. With this information, litter could, for example, be geotagged to aid litter pickers or to give precise locational information to unmanned vehicles for autonomous litter collection. Land-based litter instance segmentation is a relatively unexplored field, and this study aims to give a comparison of the instance segmentation models Mask R-CNN and DetectoRS using the multiclass litter dataset called Trash Annotations in Context (TACO) i
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Zhou, Shijin. "Project learning, knowledge transfer and the adoption of innovation in project-based organizations." Thesis, University of Nottingham, 2017. http://eprints.nottingham.ac.uk/45166/.

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This doctoral thesis aims to explore the innovation adoption process in project-based organizations. In particular, I developed a theoretical framework that explains how intra- and inter- project learning influenced by different management practices. I further generated various hypotheses based on the conceptual framework by conducting qualitative interviews. Empirically, I used survey data to test those hypotheses. I collected data from 147-construction industry, most of the companies were contractors and real estate companies. The results strongly support our hypotheses and suggest that diff
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Oshri, Ilan. "Cross-project learning : a study based on the Israeli electronics defence industry." Thesis, University of Warwick, 2002. http://wrap.warwick.ac.uk/3643/.

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This thesis alms to develop a comprehensive understanding of cross-project learning in multiple-project environments. Cross-project learning is the process through which technologies are transferred and reused within organisations. Recent years have seen a growing interest in cross-project learning. However, research in this area has emphasised the rational, classical approach to crossproject learning. Also, the majority of research on cross-project learning has largely been on the automobile industry in Japan and the USA. Thirdly, research in this field has failed to assess the impact that cr
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Books on the topic "Land-based learning"

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Bogle, David C. Resource directory for computer based learning in land use and environmental sciences. CTI Centre for Land Use Studies, University of Aberdeen, 1994.

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Nicol, Jacqui. Directory of resources for computer based learning in land use and environmental sciences. 3rd ed. CTI Centre for Land Use and Environmental Sciences, University of Aberdeen, 1994.

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Everything Change: Instructions for Land-Based Learning. Pratt Institute, 2024.

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Ellis, Brian "Fox." Learning from the Land. 2nd ed. Libraries Unlimited, 2011. http://dx.doi.org/10.5040/9798400677861.

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This all-new set of original science tales for children utilizes the power of storytelling to explore ecology's big ideas, providing extensive accompanying teacher support for maximum impact. Former teacher and an acclaimed author Brian "Fox" Ellis is a master at using creative storytelling to open up the natural world to students. With this new edition of his highly praisedLearning from the Land: Teaching Ecology through Stories and Activities, Ellis gives educators 12 captivating science-based stories as well as the supporting material they need to use those stories at a variety of learning
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Hales, Kimberly, MPA Robert Peterson, Ph D. Stephen Gavazzi, et al. Journal on Empowering Teaching Excellence, Spring 2020. Edited by Kimberly Hales. UEN Pressbooks Consortium, 2020.

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Hourdequin, Marion. The Ethics of Ecosystem Management. Edited by Stephen M. Gardiner and Allen Thompson. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199941339.013.40.

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Ecosystem management is an integrative, systems-based approach developed in response to the inadequacy of land management strategies centered on single species or resources such as timber. Contemporary ecosystem management acknowledges the dynamism of natural systems, need for ongoing adaptive learning, and importance of citizen engagement, especially in managing public lands. However, ecosystem management faces both conceptual and ethical challenges. Core concepts—such as ecosystem, stability, health, and resilience—remain difficult to define and operationalize. In addition, rapid directional
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Norton, Tony. Biodiversity: Integrating Conservation and Production. Edited by Ted Lefroy, Kay Bailey, and Greg Unwin. CSIRO Publishing, 2008. http://dx.doi.org/10.1071/9780643096219.

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Australia’s experience in community-based environmental repair is unique in the world, with no shortage of analysis by bureaucrats, academics and environmentalists. This collection of 17 case studies gives a view from ground level. It includes heroic accounts of families who changed their way of farming and their relationship to the land so significantly they found they could stop hand-feeding stock during a drought and see the bush coming back. It describes the experience with ‘bush tenders’, which were oversubscribed, as farmers competed with each other for stewardship payments to manage the
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Singer, Donald, and W. David Menzie. Quantitative Mineral Resource Assessments. Oxford University Press, 2010. http://dx.doi.org/10.1093/oso/9780195399592.001.0001.

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Policy makers, mineral exploration experts, and regional planners decide how public lands, which may contain undiscovered resources, should be used or whether to invest in exploration for minerals on a regular basis. Decisions are also made concerning mineral resource adequacy, national policy, and regional development. This book makes explicit the factors that can affect a mineral-related decision so that decision-makers can clearly see the possible consequences of their decisions. Based on work done at the US Geological Survey, the authors address the question of the kinds of issues decision
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Belvadi, Anilkumar. Missionary Calculus. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780190052423.001.0001.

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Missionary Calculus tells the story for the first time of the making of the Sunday school in Victorian India (1858–1901), focusing on American missionaries, its most active promoters. Unlike other mission histories, this book studies the means missionaries adopted in building this institution rather than on their evangelical ends. Based on extensive archival research, it addresses the question: How did the process of building institutions affect the Christian values to establish which they were built? The book provides a richly detailed account of Indian colonial educational history, discussin
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Book chapters on the topic "Land-based learning"

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Wallin, Dawn. "Onikaniwak: Land-Based Learning as ReconcilACTION." In Rural Teacher Education. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2560-5_12.

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Borrows, John. "5. Outsider Education: Indigenous Law and Land-Based Learning." In Out There Learning, edited by Deborah Louise Curran, Cameron Owens, Helga Thorson, and Elizabeth Vibert. University of Toronto Press, 2019. http://dx.doi.org/10.3138/9781487519469-016.

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Acharibasam, John Bosco, Ranjan Datta, Margot Hurlbert, and Angelina Weenie. "Land-based Learning as a Methodology for Understanding Indigenous Water Governance." In Indigenous Land-Based Knowledge and Sustainability. Routledge, 2024. http://dx.doi.org/10.4324/9781003471486-7.

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Benbriqa, Hicham, Ibtissam Abnane, Ali Idri, and Khouloud Tabiti. "Deep and Ensemble Learning Based Land Use and Land Cover Classification." In Computational Science and Its Applications – ICCSA 2021. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86970-0_41.

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Toor, Navi. "Taking Responsibility in Land-based Learning from a Racialized Woman's Perspective in Canada." In Indigenous Land-Based Knowledge and Sustainability. Routledge, 2024. http://dx.doi.org/10.4324/9781003471486-10.

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Atanga, Raphael Ane, John Bosco Acharibasam, Sampson Kwasi Jachan, Mawuli Kwasi Gafli, and Godfred Adjei Poku. "Land-based Learning and Its Implications for Preserving Traditional Ecological Knowledge in Ghana." In Indigenous Land-Based Knowledge and Sustainability. Routledge, 2024. http://dx.doi.org/10.4324/9781003471486-6.

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Ding, Kai, Chisheng Wang, Ming Tao, Huijuan Xiao, Chao Yang, and Peican Huang. "A Classification Method of Land Cover Based on Support Vector Machines." In Machine Learning for Cyber Security. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62463-7_5.

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Manzoor, Umar, Mati Ullah, Arshad Ali, Janita Irfan, and Muhammad Murtaza. "A Tool for Agent Based Modeling – A Land Market Case Study." In Information Systems, E-learning, and Knowledge Management Research. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35879-1_57.

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Venkatesh, R., S. Lakshmi Prasanna, B. Mounika, N. Divya Susmitha, and D. Kavya Chandrika. "Cotton Yield Prediction Based on Fertilizers and a Land Using Machine Learning." In Advances in Intelligent Systems and Computing. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3590-9_56.

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Liao, Xiaojin, Xiaodi Huang, and Weidong Huang. "A Deeping Learning Based Framework and System for Effective Land Use Mapping." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-43815-8_17.

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Conference papers on the topic "Land-based learning"

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Jiang, Zhiyang, Yangdong Li, and Lin Ren. "Deep learning-based land use characterization study." In 2025 6th International Conference on Geology, Mapping and Remote Sensing (ICGMRS). IEEE, 2025. https://doi.org/10.1109/icgmrs66001.2025.11065478.

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Payani, C. A., Chirag Gupta, and Anand Kumar M. "Spectral Indices based Land Cover Classification using Deep Learning." In 2024 2nd International Conference on Recent Advances in Information Technology for Sustainable Development (ICRAIS). IEEE, 2024. https://doi.org/10.1109/icrais62903.2024.10811736.

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Polisetti, Ravi Kishore, Revathi Miryala, Dhruva Bukka, and Pawan Kumar Yelicharla. "Blockchain-based Secure Land Registration Enhanced with Machine Learning." In 2025 3rd International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS). IEEE, 2025. https://doi.org/10.1109/icssas66150.2025.11081015.

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Xu, Guozheng, Xue Jiang, Yue Zhou, Jia Fu, Zicheng Huang, and Xingzhao Liu. "Transformer-Based Incomplete Multi-Modal Learning for Land Cover Classification." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10641815.

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Nagendar, Y., Zaid Alsalami, Megha Kulkarni, Abhijeet Das, and Kay Hooi Keoy. "Supervised Machine Learning Based Land Cover Classification Using Sentinel Satellite Imagery." In 2024 International Conference on Data Science and Network Security (ICDSNS). IEEE, 2024. http://dx.doi.org/10.1109/icdsns62112.2024.10691063.

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Gandhi, Pratham, Dilip Singh Sisodia, and Rikhi Ram Jagat. "Self-Supervised Learning Based Land Cover Semantic Segmentation of Satellite Imagery." In 2024 4th International Conference on Sustainable Expert Systems (ICSES). IEEE, 2024. https://doi.org/10.1109/icses63445.2024.10763156.

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Zhan, Zhiguo, Bo Li, and Jianxin Gao. "Star-Land Collaborative Network Access Algorithm Based on Power Grid and Deep Learning." In 2023 3rd International Conference on Networking Systems of AI (INSAI). IEEE, 2023. https://doi.org/10.1109/insai60116.2023.00020.

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Sheela, S., S. Jyothi, A. P. Latha, et al. "Automated Land Cover Classification in Urban Environments with Deep Learning-Based Semantic Segmentation." In 2024 International Conference on Recent Advances in Science and Engineering Technology (ICRASET). IEEE, 2024. https://doi.org/10.1109/icraset63057.2024.10895689.

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Tang, Jianqiu, and Qing Han. "Study of Future Land Use Prediction Based on Machine Learning and Markov Chain." In 2025 IEEE International Conference on Electronics, Energy Systems and Power Engineering (EESPE). IEEE, 2025. https://doi.org/10.1109/eespe63401.2025.10986800.

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Liu, Yinhe, Xian Xu, Sunan Shi, Ruoyu Yang, and Yanfei Zhong. "Remote Sensing Image Land Cover Classification with Label Noise Based on Deep Reinforcement Learning." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10642816.

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Reports on the topic "Land-based learning"

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Dugan, Peter J., Christopher W. Clark, Yann A. LeCun, and Sofie M. Van Parijs. DCL System Using Deep Learning Approaches for Land-based or Ship-based Real-Time Recognition and Localization of Marine Mammals. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada573473.

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Dugan, Peter J., Christopher W. Clark, Yann A. LeCun, and Sofie M. Van Parijs. DCL System Using Deep Learning Approaches for Land-based or Ship-based Real-Time Recognition and Localization of Marine Mammals. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada617980.

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Vittorio, Alan, and Kate Calvin. Using machine learning to improve land use/cover characterization and projection for scenario-based global modeling. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1769796.

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Bergeron, Augustin, Arnaud Fournier, John Kabeya Kabeya, Gabriel Tourek, and Jonathan L. Weigel. Using Machine Learning to Create a Property Tax Roll: Evidence from the City of Kananga, D.R. Congo. Institute of Development Studies, 2024. http://dx.doi.org/10.19088/ictd.2024.101.

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Governments in the world’s poorest countries face severe revenue constraints. They typically collect less than 10 per cent of GDP in taxes, compared to 25–50 per cent in high-income countries. The literature on state capacity and development argues that inability to collect taxes is at the heart of why low-income countries are as poor as they are. It suggests that the path to economic prosperity may begin with investment in governments’ capacity to collect the tax revenue necessary to provide public goods that enhance productivity. Property taxation is often the primary source of government re
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Chandra, Amit, ed. High performance building retrofit: IIHS Bengaluru campus Annexe II - commercial building case study. Indian Institute for Human Settlements, 2024. https://doi.org/10.24943/9788198702388.

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The IIHS Bengaluru City Campus (BCC) expansion necessitated the retrofitting of an existing commercial building into a high-performance teaching and learning space. With urban land constraints and the need for rapid execution, IIHS opted for a sustainable retrofit approach, transforming the 1,350 sqm structure into an energy-efficient and resource-conscious facility. The project focused on optimizing thermal comfort, occupant well-being, and operational efficiency through advanced design techniques, IoT-based monitoring, and innovative material choices. This book documents the planning, execut
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Ahn, Yushin, and Richard Poythress. Impervious Surfaces from High Resolution Aerial Imagery: Cities in Fresno County. Mineta Transportation Institute, 2024. http://dx.doi.org/10.31979/mti.2024.2257.

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This study investigates impervious surfaces — areas covered by materials with restricted water permeability, such as pavement, sidewalks, and parking lots—due to their crucial role in influencing water dynamics within urban landscapes. The impermeability of these surfaces disrupts natural water absorption processes, resulting in adverse environmental consequences such as increased flooding, erosion, and water pollution. The research employs impervious surface analysis, a method involving the mapping and analysis of these surfaces within specified study areas, including cities, counties, and ce
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Rao, Nitya, Sheetal Patil, Maitreyi Koduganti, et al. Sowing Sustainable Cities: Lessons for Urban Agriculture Practices in India. Indian Institute for Human Settlements, 2023. http://dx.doi.org/10.24943/ssc12.2022.

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Despite growing interest and recognition of urban and peri-urban agriculture (UPA) as a nature- based solution, there is limited empirical evidence in countries like India on its role in reconfiguring goals on environmental functions (such as biodiversity, waste management, water recycling, micro-climate regulation, etc.) and social wellbeing (such as food and nutrition security, gender relations, work burdens, land tenure and community ties). A need to address this gap led to the ideation of the project ‘Urban and peri-urban agriculture as green infrastructures’ ( UPAGrI ). When UPAGrI starte
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Rao, Nitya. Sowing Sustainable Cities: Lessons for Urban Agriculture Practices in India. Indian Institute for Human Settlements, 2023. http://dx.doi.org/10.24943/ssc12.2023.

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Despite growing interest and recognition of urban and peri-urban agriculture (UPA) as a nature- based solution, there is limited empirical evidence in countries like India on its role in reconfiguring goals on environmental functions (such as biodiversity, waste management, water recycling, micro-climate regulation, etc.) and social wellbeing (such as food and nutrition security, gender relations, work burdens, land tenure and community ties). A need to address this gap led to the ideation of the project ‘Urban and peri-urban agriculture as green infrastructures’ ( UPAGrI ). When UPAGrI starte
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9

Browne, Jennifer M., and Michelle Pidgeon. Canadian Senior Student Affairs Officers’ Perspectives and Experiences Working in Higher Education. Journal of the Australian and New Zealand Student Services Association, 2025. https://doi.org/10.30688/janzssa.2025-1-07.

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The changing higher education landscape requires Senior Student Affairs Officers (SSAOs) to have dynamic and diverse competencies and skills to lead this complex work; however, there is limited research examining perceptions of skills needed for Canadian SSAOs. This article identifies skills and competencies required for this leadership role as well as issues and trends facing the field of Student Affairs and Services in Canada. Drawing on data from 75 respondents to the 2022 SSAO Survey representing Canadian universities and colleges, findings show that the top competencies required of an SSA
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Vano, Julie, Tanya Petach, Jeffrey Deems, et al. A Collaborative, In Situ Mountain Hydrology NASA Test Bed. Aspen Global Change Institute, 2024. http://dx.doi.org/10.69925/vcbq9771.

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Beginning primarily as snowmelt from the Rocky Mountains, the Colorado River supplies water to over 40 million people in seven U.S. states and Mexico. As demand for water grows and climate-driven drought threatens supply, there is an urgent need to advance decision-relevant hydrologic research in this region, which serves as an example for similarly positioned mountain headwaters around the world. Within this report we share the design for a collaborative process for testing innovative approaches to doing research—a test bed for short—that leverages existing research efforts and articulates st
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