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Relevant bibliographies by topics / ERDAS

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Academic literature on the topic 'ERDAS'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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Journal articles on the topic "ERDAS"

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Chen, Hao, Tian Liang, and Juan Yao. "The Processing Algorithms and EML Modeling of True Color Synthesis for SPOT5 Image." Applied Mechanics and Materials 373-375 (August 2013): 564–68. http://dx.doi.org/10.4028/www.scientific.net/amm.373-375.564.

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SPOT-5 image is widely used in every trade by its special advantage of high spatial resolution and stereo mapping. SPOT-5 image is difficult to composite true color without blue wavelength channel. This article aims to achieve approximation from RS images colors to natural colors through true-color processing. The experiential arithmetic module of true-color composite is established by Using Erdas Imagine, which is the software for processing RS image, and ERDAS Macro Language (EML), which is modeling language. Loading module and some simulations get more effective images of approximating natu

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Zeng, Guang Wei, Gui Fen Chen, Chu Nan Li, and Jiao Ye. "The Comparative Study of Remote Sensing Image Classification Method Based on ERDAS." Advanced Materials Research 546-547 (July 2012): 542–47. http://dx.doi.org/10.4028/www.scientific.net/amr.546-547.542.

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ERDAS IMAGINE is a remote sensing image processing system developed by the United States.The paper using ERDAS to classified the remote sensing of Land-sat TM image data by supervised classification method and unsupervised classification method, Using the Yushu City remote sensing image of Jilin Province as the trial data, and classified the forest, arable land and water from the remote sensing images, compared the test data of the supervised classification and unsupervised classification method, shows that the supervised classification method can be better to solute the questions "with the sp

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Reshetilo, Natalya S., and Elena P. Khlebnikova. "POSSIBILITY OF USING REMOTE SENSING DATA FOR MONITORING WATER OBJECTS." Interexpo GEO-Siberia 6 (May 21, 2021): 248–55. http://dx.doi.org/10.33764/2618-981x-2021-6-248-255.

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The article discusses the use of Earth remote sensing methods. The analysis and mapping of changes in the boundaries of the Iyariver in the city of Tulun, Irkutsk region, was carried out using the Erdas Imagine 2015 software package.

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Баланбаев, Даулет. "Особеннось дешифрирования пространственных объектов по космическим снимкам в программе “ЕRDAS IMAGINIE”". Рroblems of engineering and professional education 42, № 3 (2023): 41–48. http://dx.doi.org/10.32523/2220-685x-2017-42-3-41-48.

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В данной статье рассматриваются общее понятие дешифрирования космических снимков и его особенности в современном мире; некоторые способы использования автоматической (кластерной) и контролируемой (с обучением) классификаций, которые заложены в программе Erdas Imagine. На отдельных примерах анализируются результаты дешифрирования пространственных объектов

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Monte, Marco Antonio, Maria das Graças Ferreira Reis, Geraldo Gonçalves dos Reis, Hélio Garcia Leite, and Jonathan James Stocks. "Métodos indiretos de estimação da cobertura de dossel em povoamentos de clone de eucalipto." Pesquisa Agropecuária Brasileira 42, no. 6 (2007): 769–75. http://dx.doi.org/10.1590/s0100-204x2007000600002.

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O objetivo deste trabalho foi avaliar o potencial de uso de fotografias digitais na estimação do índice de cobertura de dossel (ICD), em substituição ao índice de área foliar (IAF). Fotografias digitais de 640x480 e de 1.280x960 pixels foram processadas por meio dos aplicativos Erdas, Gap Light Analyzer e Sidelook. O IAF, estimado com o LAI-2000, e as fotografias digitais foram obtidos aos 81 e 93 meses de idade, em povoamento de clone de eucalipto submetido à desrama e ao desbaste. Foram observadas correlações significativas entre IAF e ICD, e as fotografias com maiores dimensões permitiram m

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Dobesova, Zdena. "Cognition of Graphical Notation for Processing Data in ERDAS IMAGINE." ISPRS International Journal of Geo-Information 10, no. 7 (2021): 486. http://dx.doi.org/10.3390/ijgi10070486.

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This article presents an evaluation of the ERDAS IMAGINE Spatial Model Editor from the perspective of effective cognition. Workflow models designed in Spatial Model Editor are used for the automatic processing of remote sensing data. The process steps are designed as a chain of operations in the workflow model. The functionalities of the Spatial Model Editor and the visual vocabulary are both important for users. The cognitive quality of the visual vocabulary increases the comprehension of workflows during creation and utilization. The visual vocabulary influences the user’s exploitation of wo

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Деренюк, М. М. "Картографування місцевості за допомогою геоінформаційних систем "Erdas"". Часопис картографії, Вип. 2 (2011): 50–54.

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Sun, Tong He, and Guo Qing Yan. "Land Utilization and Classification Method Based on Remote Sensing Technology." Applied Mechanics and Materials 239-240 (December 2012): 501–6. http://dx.doi.org/10.4028/www.scientific.net/amm.239-240.501.

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This paper discusses land utilization classification based on remote sensing technology. Taking the Xinjiang Kulja county bureau department area remote sensing images as the basic information, and using ERDAS IMAGINE, this paper discusses non-supervised classification and supervised classification methods. The results show that remote sensing technology applies to land utilization situation and land classification, which has reference value.

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Plotnikova, Marina, and Elena Khlebnikova. "MONITORING OF URBAN AREA WITH SATELLITE IMAGERY." Interexpo GEO-Siberia 6, no. 1 (2019): 86–93. http://dx.doi.org/10.33764/2618-981x-2019-6-1-86-93.

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The problem of identifying changes occurring in the territory of an urban area due to construction of new facilities, renovations and reconstructions using remote sensing of the Earth was considered. Various algorithms for automated detection of changes from different-time satellite images in the ERDAS IMAGINE 2010 program are analyzed in practice. Factors that must be considered when monitoring urban areas are identified.

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Hermon, Dedi. "Estimate of Changes in Carbon Stocks Based on Land Cover Changes in the Leuser Ecosystem Area (LEA) Indonesia." Forum Geografi 29, no. 2 (2016): 188. http://dx.doi.org/10.23917/forgeo.v29i2.1487.

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This research aimed at designing the model of land cover changes in 1990 and 2014, and estimating carbon stock changes in each land cover in Leuser Ecosystem Area (LEA). The spatial model of land cover changes was analyzed by interpreting Landsat 5 TM imagery in 1990 and Landsat 7 ETM+ imagery in 2014 with ERDAS 9.1 and Land Change Modeller (LCM) in Idrisi TerrSet v.18. The analysis of land area changes (ha) in each land cover from 1990 to 2014 used ERDAS 9.1 with tools Interpreter (GIS Analysis-Matrix). Systematic survey method was employed in order to analyze carbon stocks. The sampling tech

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Dissertations / Theses on the topic "ERDAS"

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Davis, Tiana. "Quantifying Chlorophyll a Content Through Remote Sensing: A Pilot Study of Utah Lake." Diss., CLICK HERE for online access, 2006. http://contentdm.lib.byu.edu/ETD/image/etd1261.pdf.

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Heinlein, Matthias [Verfasser]. "Erdős-Pósa properties / Matthias Heinlein." Ulm : Universität Ulm, 2019. http://d-nb.info/1177147033/34.

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Raab, Siegfried. "Laser-optische Messungen in Drallflammen /." Düsseldorf : VDI-Verl, 2002. http://www.gbv.de/dms/bs/toc/349293902.pdf.

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Grecu, Iulus. "The Eras of Psychiatry." The University of Arizona, 2018. http://hdl.handle.net/10150/626583.

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Gauy, Marcelo Matheus. "Erdos-Ko-Rado em famílias aleatórias." Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/45/45134/tde-26082014-095951/.

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Estudamos o problema de famílias intersectantes extremais em um subconjunto aleatório da família dos subconjuntos com exatamente k elementos de um conjunto dado. Obtivemos uma descrição quase completa da evolução do tamanho de tais famílias. Versões semelhantes do problema foram estudadas por Balogh, Bohman e Mubayi em 2009, e por Hamm e Kahn, e Balogh, Das, Delcourt, Liu e Sharifzadeh de maneira concorrente a este trabalho.<br>We studied the problem of maximal intersecting families in a random subset of the family of subsets with exactly k elements from a given set. We obtained a nearly compl

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VASCONCELOS, José Eder Salvador de. "A Propriedade Erdös-Pósa para matróides." Universidade Federal de Campina Grande, 2009. http://dspace.sti.ufcg.edu.br:8080/jspui/handle/riufcg/1217.

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Submitted by Johnny Rodrigues (johnnyrodrigues@ufcg.edu.br) on 2018-07-23T15:16:49Z No. of bitstreams: 1 JOSÉ EDER SALVADOR DE VASCONCELOS - DISSERTAÇÃO PPGMAT 2009..pdf: 634118 bytes, checksum: e65e70c702364b197a36f09e8d1ef296 (MD5)<br>Made available in DSpace on 2018-07-23T15:16:49Z (GMT). No. of bitstreams: 1 JOSÉ EDER SALVADOR DE VASCONCELOS - DISSERTAÇÃO PPGMAT 2009..pdf: 634118 bytes, checksum: e65e70c702364b197a36f09e8d1ef296 (MD5) Previous issue date: 2009-11<br>Capes<br>O número de cocircuitos disjuntos em uma matróide é delimitado pelo seu posto. Existem, no entanto, matróides de

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Santos, Sidneia Silveira. "Apresentações do Teorema de Erdos-Mordell." Instituto de Matemática. Departamento de Matemática, 2015. http://repositorio.ufba.br/ri/handle/ri/23023.

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Submitted by Marcos Samuel (msamjunior@gmail.com) on 2017-06-09T14:07:57Z No. of bitstreams: 1 DissertaçãoSideneia.pdf: 2505985 bytes, checksum: 58af908982530da682fb1e186eae51c4 (MD5)<br>Approved for entry into archive by Vanessa Reis (vanessa.jamile@ufba.br) on 2017-06-16T14:47:15Z (GMT) No. of bitstreams: 1 DissertaçãoSideneia.pdf: 2505985 bytes, checksum: 58af908982530da682fb1e186eae51c4 (MD5)<br>Made available in DSpace on 2017-06-16T14:47:15Z (GMT). No. of bitstreams: 1 DissertaçãoSideneia.pdf: 2505985 bytes, checksum: 58af908982530da682fb1e186eae51c4 (MD5)<br>O teorema de Erdos-Morde

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Tasca, Arianna <1988&gt. "IL FILONE POLIZIESCO. CARLOTTO ED ERVAS." Master's Degree Thesis, Università Ca' Foscari Venezia, 2014. http://hdl.handle.net/10579/4045.

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Vesely, Anna. "Grafi aleatori - il modello di Erdos-Rényi." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/10144/.

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Dopo aver dato una definizione formale per il modello di Erdos-Rényi, si dimostra che in un grafo ER il grado dei nodi (misura della connessione) risulta essere una variabile aleatoria con distribuzione binomiale, mentre il clustering (misura della densità di archi a livello locale) tende a zero. Successivamente si determinano le funzioni soglia per alcune proprietà monotone particolarmente significative, consentendo così di descrivere diverse configurazioni possibili per un grafo ER al variare dei suoi parametri. Infine, si mostra come si possano utilizzare i grafi ER per modellizzare la diff

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Oliveira, Filipe Augusto Alves de. "Teorema de Erdös-Ginzburg-Ziv com Peso." Universidade Federal de Viçosa, 2014. http://locus.ufv.br/handle/123456789/4929.

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Made available in DSpace on 2015-03-26T13:45:36Z (GMT). No. of bitstreams: 1 texto completo.pdf: 532124 bytes, checksum: 0e9370c9afd85879f731f2f34fc05c51 (MD5) Previous issue date: 2014-02-17<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>In this work we present generalizations to a famous result of the Additive Number Theory which is the Erdös-Ginzburg-Ziv theorem. Our first goal is to find the lowest value for o the length of a sequence of integers for which we can always find a subsequence of n terms which, together with weight in {1, −1}, assume a value equal to

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Books on the topic "ERDAS"

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(Firm), ERDAS, ed. ERDAS field guide. 4th ed. ERDAS, 1997.

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(Firm), ERDAS, ed. ERDAS field guide. 5th ed. ERDAS, 1999.

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(Firm), ERDAS, ed. ERDAS IMAGINE tour guides. ERDAS Inc., 1997.

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Inc, ERDAS, ed. ERDAS field guide: Version 7.4 January 1990. 7th ed. ERDAS Inc, 1990.

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Nelson, Stacy A. C., and Siamak Khorram. Image Processing and Data Analysis with ERDAS IMAGINE®. CRC Press, 2018. http://dx.doi.org/10.1201/b21969.

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J, Evans Randolph, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., eds. Final report on the evaluation of the emergency response dose assessment system (ERDAS). National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1996.

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J, Tremback Craig, Lyons Walter A, and United States. National Aeronautics and Space Administration., eds. The implementation and evaluation of the Emergency Response Dose Assessment System (ERDAS) at Cape Canaveral Air Station/Kennedy Space Center. National Aeronautics and Space Administration, 1996.

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Geological Survey (U.S.). National Mapping Division, ed. Enhancing USGS image processing capabilities: The development of a users guide, video tape guide, and in-house course outline for ERDAS software. U.S. Dept. of the Interior, U.S. Geological Survey, National Mapping Division, 1994.

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9

Lovász, László, Imre Z. Ruzsa, and Vera T. Sós, eds. Erdős Centennial. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39286-3.

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Yazıcı, Erdal. Erdal Yazıcı. Antartist Yayıncılık, 2005.

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Book chapters on the topic "ERDAS"

1

Abele, Ludwig. "Das System ERDAS." In Technologie Geographischer Informationssysteme. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-77143-9_15.

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Nelson, Stacy A. C., and Siamak Khorram. "Acquiring Data: EarthExplorer, GloVis, LandsatLook Viewer, and NRCS Geospatial Data Gateway." In Image Processing and Data Analysis with ERDAS IMAGINE®. CRC Press, 2018. http://dx.doi.org/10.1201/b21969-1.

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Nelson, Stacy A. C., and Siamak Khorram. "Supervised Classification." In Image Processing and Data Analysis with ERDAS IMAGINE®. CRC Press, 2018. http://dx.doi.org/10.1201/b21969-10.

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Nelson, Stacy A. C., and Siamak Khorram. "Object Based Image Analysis." In Image Processing and Data Analysis with ERDAS IMAGINE®. CRC Press, 2018. http://dx.doi.org/10.1201/b21969-11.

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Nelson, Stacy A. C., and Siamak Khorram. "Additional Image Analysis Techniques." In Image Processing and Data Analysis with ERDAS IMAGINE®. CRC Press, 2018. http://dx.doi.org/10.1201/b21969-12.

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Nelson, Stacy A. C., and Siamak Khorram. "Assessing Thematic Classification Accuracy." In Image Processing and Data Analysis with ERDAS IMAGINE®. CRC Press, 2018. http://dx.doi.org/10.1201/b21969-13.

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Nelson, Stacy A. C., and Siamak Khorram. "Basics of Digital Stereoscopy." In Image Processing and Data Analysis with ERDAS IMAGINE®. CRC Press, 2018. http://dx.doi.org/10.1201/b21969-14.

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Nelson, Stacy A. C., and Siamak Khorram. "Introduction to Image Data Processing." In Image Processing and Data Analysis with ERDAS IMAGINE®. CRC Press, 2018. http://dx.doi.org/10.1201/b21969-2.

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Nelson, Stacy A. C., and Siamak Khorram. "Georectification." In Image Processing and Data Analysis with ERDAS IMAGINE®. CRC Press, 2018. http://dx.doi.org/10.1201/b21969-3.

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Nelson, Stacy A. C., and Siamak Khorram. "Orthorectification." In Image Processing and Data Analysis with ERDAS IMAGINE®. CRC Press, 2018. http://dx.doi.org/10.1201/b21969-4.

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Conference papers on the topic "ERDAS"

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Khawas, Chunnu, Mohan P. Pradhan, Ratika Pradhan, and Ashis Pradhan. "Landsat8-9 Satellite Image Classification with ERDAS for Mapping the Urban Spaces of East Sikkim." In 2025 3rd International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC). IEEE, 2025. https://doi.org/10.1109/isacc65211.2025.10969356.

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Nwaogu, Chukwudi, Babatunde Alabi, Nasir A. Uma, Bridget E. Diag, Victor A. Agidi, and Chinwe G. Onwuagb. "LAND USE-COVER CHANGE TRAJECTORY AND IMPLICATION ON THE AGRICULTURAL AREAS OF SAO PAULO CITY: A GEOINFORMATICS APPROACH." In 24th SGEM International Multidisciplinary Scientific GeoConference 2024. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/2.1/s08.17.

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Agricultural productivity and environmental changes can be greatly affected by agricultural and other land use. Mapping of vegetation and land cover is a fundamental way of managing the natural resources on the earth surface. To determine or study the crop productivities of any geographical location, agricultural land use is one of the crucial clues for reliable information. We aimed to investigate the effects of urbanization on agricultural lands in Sao Paulo city. A 30-year multi-temporal satellite imagery dataset from four distinct years were mapped: 1992 (Landsat TM), 2002 (Landsat ETM+),

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Paul, Christophe, Evangelos Protopapas, Dimitrios M. Thilikos, and Sebastian Wiederrecht. "Obstructions to Erdös-Pósa Dualities for Minors." In 2024 IEEE 65th Annual Symposium on Foundations of Computer Science (FOCS). IEEE, 2024. http://dx.doi.org/10.1109/focs61266.2024.00013.

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Granito, Júlia Marassi, Gabriela de Paula Martins da Rocha, Sthefany Gravino Pazinato, and Luiz Antônio de Souza Pereira. "CARTILHA DIGITAL DE ERVAS E TEMPEROS MEDICINAIS - PIEX SALA VERDE." In Confeso - JAAPI. Even3, 2024. https://doi.org/10.29327/1453283.9-98.

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Yang, Joonhyuk, and Hye Won Chung. "Exact Graph Matching in Correlated Gaussian-Attributed Erdős- Rényi Mode." In 2024 IEEE International Symposium on Information Theory (ISIT). IEEE, 2024. http://dx.doi.org/10.1109/isit57864.2024.10619555.

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Di, Dong, and Wang Di. "Comparisons of ERDAS and ENVI in thematic mapping." In 2011 IEEE 3rd International Conference on Communication Software and Networks (ICCSN). IEEE, 2011. http://dx.doi.org/10.1109/iccsn.2011.6014623.

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Sainis, S., V. Barahate, S. Bandawar, S. Tarak, Nita Nimbarte, and Sanjay Balamwar. "Enhancement Techniques for Analysis of Satellite Images through ERDAS Software." In 2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS). IEEE, 2021. http://dx.doi.org/10.1109/icais50930.2021.9395866.

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Решетило, Наталья Сергеевна, та Елена Павловна Хлебникова. "Возможность использования данных дистанционного зондирования при мониторинге водных объектов". У Регулирование земельно-имущественных отношений в России: правовое и геопространственное обеспечение, оценка недвижимости, экология, технологические решения - 2021-3. СГУГиТ, 2021. http://dx.doi.org/10.33764/2687-041x-2021-3-73-81.

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В статье рассмотрены первостепенные задачи мониторинга водных объектов, цели, возможности использования данных дистанционного зондирования с применением программного комплекса Erdas Imagine 2015. Показано как с помощью данных дистанционного зондирования можно получить достоверную информацию о состоянии водных объектов, выявить и спрогнозировать неблагоприятные экологические явления, а также извлечь полезную информацию.

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Плотникова, Марина Александровна, та Елена Павловна Хлебникова. "Возможности применения космических снимков высокого разрешения при мониторинге городских территорий". У Регулирование земельно-имущественных отношений в России: правовое и геопространственное обеспечение, оценка недвижимости, экология, технологические решения - 2021-3. СГУГиТ, 2021. http://dx.doi.org/10.33764/2687-041x-2021-3-55-60.

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В статье рассмотрены особенности выявления изменений, происходящих на территории городского пространства в связи со строительством новых объектов, с помощью архивных спутниковых снимков высокого разрешения Sentinel-2. Применен алгоритм автоматизированного выявления изменений, основанный на использовании индексных изображений в программе ERDAS IMAGINE 2010. Выявлены дальнейшие перспективы мониторинга городских территорий по космическим снимкам.

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Gao, GuoLin, XinSheng Wang, and ShiYing Wang. "Using ERDAS to extract and estimate the rice planting area of Hubei Province." In 2011 International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE). IEEE, 2011. http://dx.doi.org/10.1109/rsete.2011.5964894.

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Reports on the topic "ERDAS"

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Jolicoeur, J. Emergency Response Data System (ERDS) implementation. Office of Scientific and Technical Information (OSTI), 1990. http://dx.doi.org/10.2172/7175236.

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Lindsay, Denise, Xin Guan, John Mylroie, and Richard Lance. Detection and decay of different classes of environmental RNA (eRNA) from zebrafish (Danio rerio). Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/48780.

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This technical note contributes to the growing body of knowledge about macroscopic eukaryotic environmental RNA (eRNA) by exploring detection and decay for several different zebrafish (Danio rerio) eRNAs in a mesocosm setting. The study addressed four basic hypotheses: (1) D. rerio would deposit detectable levels of eRNA into water, (2) different classes of eRNA would be detected, (3) different eRNA sequences (for example, loci) would degrade at different rates, and (4) abiotic and biotic factors would influence rates of degradation. For the last hypothesis, we tracked eRNA concentration decay

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Shaw, Emile, Samantha Schultz, Taylor Woods, Emma Zollmann, and Dwayne Accardo. Enhanced Recovery After Surgery (ERAS) for Cardiothoracic Surgery. University of Tennessee Health Science Center, 2023. http://dx.doi.org/10.21007/con.dnp.2023.0061.

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Stoner, Christopher, Alex Priest, and Dwayne Accardo. Implementation of Enhanced Recovery After Surgery (ERAS) Guidelines: A Comprehensive Interdisciplinary Approach. University of Tennessee Health Science Center, 2022. http://dx.doi.org/10.21007/con.dnp.2022.0042.

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Nema, Shubham, Rohin Razdan, Arun Rodrigues, et al. ERAS: Enabling the Integration of Real-World Intellectual Properties (IPs) in Architectural Simulators. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1854734.

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Mwamba, Isaiah C., Deepak Benny, Ajuna P. John, et al. Updating Cost Allocation and Revenue Attribution. Purdue University, 2024. http://dx.doi.org/10.5703/1288284317764.

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This report presents a synopsis of the results from the 2024 study commissioned by the Indiana Department of Transportation (INDOT) in fall 2023 at the request of the Indiana General Assembly. Expenditures: Lighter vehicle classes saw their share of cost responsibility decline between 2015 and 2024, while the heavier vehicle classes saw their responsibilities increase within this period. This change is explained by a diametric shift in expenditure type patterns between the two eras from construction-dominant to maintenance-dominant expenditures. In this context, it is worth noting that these e

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Potter, Shayla D. The Center of Gravity Concept: A Study of Its Description and Application in Two Different Eras. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada606275.

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Senseny, P. Creep of salt from the ERDA-9 borehole and the WIPP (Waste Isolation Pilot Plant) workings. Office of Scientific and Technical Information (OSTI), 1990. http://dx.doi.org/10.2172/7127595.

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Foster, K., E. Arnold, D. Bonner, et al. Integration of AMS and ERDS Measurement Data into NARAC Dispersion Models FY05 Technology Integration Project Final Report. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/878228.

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Blaxter, Tamsin, and Tara Garnett. Primed for power: a short cultural history of protein. TABLE, 2022. http://dx.doi.org/10.56661/ba271ef5.

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Protein has a singularly prominent place in discussions about food. It symbolises fitness, strength and masculinity, motherhood and care. It is the preferred macronutrient of affluence and education, the mark of a conscientious diet in wealthy countries and of wealth and success elsewhere. Through its association with livestock it stands for pastoral beauty and tradition. It is the high-tech food of science fiction, and in discussions of changing agricultural systems it is the pivotal nutrient around which good and bad futures revolve. There is no denying that we need protein and that engaging

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