[Baltimore Office of Sustainability. 2016. Urban Agriculture. Available at: http://www.baltimoresustainability.org/projects/baltimore-food-policy-initiative/homegrown-baltimore/urban-agriculture-2/ (accessed April 25, 2018).]Search in Google Scholar
[Baret, F. and S. Buis. 2008. “Estimating Canopy Characteristics from Remote Sensing Observations: Review of Methods and Associated Problems.” In Advances in Land Remote Sensing, edited by S. Liang, 173–201. Netherlands: Springer.10.1007/978-1-4020-6450-0_7]Search in Google Scholar
[Chen, M., S. Mao, and Y. Liu. 2014. “Big Data: A Survey.” Mobile Networks and Applications 19: 171–209.10.1007/s11036-013-0489-0]Search in Google Scholar
[Colasanti, K., C. Litjens, and M. Hamm. 2010. Growing Food in the City: The Production Potential of Detroit’s Vacant Land. East Lansing, MI: The C.S. Mott Group for Sustainable Food Systems at Michigan State University.]Search in Google Scholar
[Congedo, L. 2014. Semi-Automatic Classification Plugin User Documentation. Release 5.0.0.1. Technical Report. Available at: https://www.researchgate.net/profile/Luca_Congedo/publication/265031337_Semi-Automatic_Classification_Plugin_User_Manual/links/57cafe2d08ae59825183576d.pdf (accessed May 28, 2017).]Search in Google Scholar
[Conner, D., A.D. Montri, D.N. Montri, and M.W. Hamm. 2009. “Consumer Demand for Local Produce at Extended Season Farmers’ Markets: Guiding Farmer Marketing Strategies.” Renewable Agriculture and Food Systems 24: 251–259.10.1017/S1742170509990044]Search in Google Scholar
[Despommier, D. 2010. The Vertical Farm: Feeding the World in the 21st Century. New York: Dunne Books/St. Martin’s Press.]Search in Google Scholar
[Dumbacher, B., and C. Capps. 2016. “Big Data Methods for Scraping Government Tax Revenue from the Web.” In 2016 Proceedings of the Joint Statistical Meetings, Section on Statistical Learning and Data Science: 2940–2954.]Search in Google Scholar
[European Association of Remote Sensing Laboratories. 2017. “Introduction to Remote Sensing.” Available at: http://www.seos-project.eu/modules/remotesensing/remotesensing-c01-p05.html (accessed September 30, 2017).]Search in Google Scholar
[Forster, D., Y. Buehler, and T.W. Kellenberger. 2009. “Mapping Urban and Peri-Urban Agriculture Using High Spatial Resolution Satellite Data.” Journal of Applied Remote Sensing 3(1): 033523. Doi: https://dx.doi.org/10.1117/1.312236410.1117/1.3122364]Search in Google Scholar
[Goldsmith, S. 2014. “Milwaukee’s Push to Turn Vacant Land into Urban Farms.” Governing the States and Localities. April 16, 2014. Available at: http://www.governing.com/blogs/bfc/gov-milwaukee-mayor-tom-barrett-home-grown-vacant-lots-urban-agriculture.html (accessed April 25, 2018).]Search in Google Scholar
[Hartley, H.O. 1962. “Multiple Frame Surveys.” Proceedings of the Social Statistics Section of the American Statistical Association: 203–206.]Search in Google Scholar
[Hirschberg, J. and C.D. Manning. 2015. “Advances in Natural Language Processing.” Science 349: 261–266.10.1126/science.aaa868526185244]Search in Google Scholar
[Kausar, M.A., V.S. Dhaka, and S.K. Singh. 2013. “Web Crawler: A Review.” International Journal of Computer Applications (0975-8887) 63: 31–36. Available at: https://pdfs.semanticscholar.org/7086/cfbc441e1ae956e4600a115b45c8cc84e4a7.pdf (accessed May 29, 2017).]Search in Google Scholar
[Krijnen, D., R. Bot, and G. Lampropoulos. 2014. “Automated Web Scraping APIs.” Online: http://mediatechnology.leiden.edu/images/uploads/docs/wt2014_web_scraping.pdf (accessed April 25, 2018).]Search in Google Scholar
[Law, M. and A. Collins. 2015. Getting to Know ArcGIS, 4th Ed. pp. 768: ESRI Press.]Search in Google Scholar
[Lohr, S. 2011. “Alternative Survey Sample Designs: Sampling with Multiple Overlapping Frames.” Survey Methodology 37: 197–213.]Search in Google Scholar
[Lohr, S.L. 2010. Sampling: Design and Analysis, 2nd Ed. Brooks/Cole: Cengage Learning.]Search in Google Scholar
[Lohr, S., and J.N.K. Rao. 2006. “Estimation in Multiple-Frame Surveys.” Journal of the American Statistical Association 101: 1019–1030.10.1198/016214506000000195]Search in Google Scholar
[Lovell, S.T. 2010. “Multifunctional Urban Agriculture for Sustainable Land Use Planning in the United States.” Sustainability 2: 2499–2522. Doi: http://dx.doi.org/10.3390/su2082499.10.3390/su2082499]Open DOISearch in Google Scholar
[Manjunath, B.S. and W.Y. Ma. 1996. “Texture Features for Browing and Retrieval of Image Data.” IEEE Transactions on Pattern Analysis and Muchine Intelligence 18: 837–842.10.1109/34.531803]Search in Google Scholar
[Marin Master Gardeners. 2017. Community Gardens. University of California, Division of Agriculture and Natural Resources. Available at: http://ucanr.edu/sites/MarinMG/Great_Gardening_Information/Marin_Community_Gardens/ (accessed May 26, 2017).]Search in Google Scholar
[Mayer-Schönberger, V., and K. Cukier. 2014. Big Data: A Revolution That Will Transform How We Live, Work, and Think. Eamon Dolan/Mariner Books.]Search in Google Scholar
[Mohr, G., M. Stack, I. Ranitovic, D. Avery, and M. Kimpton. 2004. “An Introduction to Heritrix: An Open Source Archival Quality Web Crawler.” 4th International Web Archiving Workshop. Available at: http://iwaw.europarchive.org/04/Mohr.pdf (accessed May 29, 2017).]Search in Google Scholar
[Neteler, M., M.H. Bowman, M. Landa, and M. Metz. 2012. “GRASS GIS: A Multi-Purpose Open Source GIS.” Environmental Modelling & Software 31: 124–130.10.1016/j.envsoft.2011.11.014]Search in Google Scholar
[Policy Link. 2012. Growing Urban Agriculture: Equitable Strategies and Policies for Improving Access to Healthy Food and Revitalizing Communities. Available at: http://www.policylink.org/sites/default/files/URBAN_AG_FULLREPORT.PDF (accessed April 24, 2018).]Search in Google Scholar
[Polidoro, F., R. Grannini, R.L. Conte, S. Mosca, and F. Rossetti. 2015. “Web Scraping Techniques to Collect Data on Consumer Electronics and Airfares for Italian HICP Compilation.” Statistical Journal of the IAOS 31: 165–176.10.3233/sji-150901]Search in Google Scholar
[Popovitch, T. 2014. “10 American Cities Lead the Way with Urban Agriculture Ordinances.” SeedStock Newsletter. May 27, 2014. Available at: http://seedstock.com/2014/05/27/10-american-cities-lead-the-way-with-urban-agriculture-ordinances/ (accessed April 24, 2018).]Search in Google Scholar
[Rhodes, B.B., A.F. Kim, and B.R. Loomis. 2015. “Vaping the Web: Crowdsourcing and Web Scraping for Establishment Survey Farm Generation.” Proceedings of the 2015 Federal Committee on Statistical Methodology Research Conference. Available at: https://fcsm.sites.usa.gov/files/2016/03/H3_Rhodes_2015FCSM.pdf (accessed October 30, 2016).]Search in Google Scholar
[Santo, R., A. Palmer, and B. Kim. 2016. Vacant Lots to Vibrant Plots: A Review of the Benefits and Limitations of Urban Agriculture. Johns Hopkins Center for a Livable Future. Available at: http://www.jhsph.edu/research/centers-and-institutes/johnshopkins-center-for-a-livable-future/_pdf/research/clf_reports/urgan-ag-literature-review.pdf (August 19, 2016).]Search in Google Scholar
[Schowengerdt, R.A. 2007. Remote Sensing: Models and Methods for Image Processing, 3rd Ed. Elsevier: San Diego, CA, USA.]Search in Google Scholar
[Singh, S.M., and K. Hemachandran. 2012. “Content-Based Image Retrieval Using Color Moment and Gabor Based Image Retrieval Using Color Moment and Gabor Texture Feature.” UCSI International Journal of Computer Science Issues 9: 1694-0814. Available at: http://s3.amazonaws.com/academia.edu.documents/33984493/IJCSI-9-5-1-299-309.pdf?AWSAccessKeyId=AKIAIWOWYYGZ2Y53UL3A&Expires=1495994274&Signature=XS%2F%2FueQk9Kg1xteMNIf%2BfswT4HI%3D&response-content-disposition=inline%3B%20filename%3DIJCSI-9-5-1-299-309.pdf (accessed May 30, 2017).]Search in Google Scholar
[Specht, K., R. Siebert, I. Hartmann, U.B. Feisinger, M. Sawicka,A. Werner, S. Thomaier, D. Henckel, H. Walk, and A. Dierich. 2014. “Urban Agriculture of the Future: An Overview of Sustainability Aspects of Food Production in and on Buildings.” Agriculture and Human Values 31: 33–51. Doi: http://dx.doi.org/10.1007/s10460-013-9448-4.10.1007/s10460-013-9448-4]Open DOISearch in Google Scholar
[Stoney, W.E. 2008. ASPRS Guide to Land Imaging Satellites. Noblis Inc. Available at: http://www.asprs.org/a/news/satellites/ASPRS_DATABASE_021208.pdf (accessed September 30, 2017).]Search in Google Scholar
[Taylor, J.R., and S.T. Lovell. 2014. “Mapping Public and Private Spaces of Urban Agriculture in Chicago Through the Analysis of High-Resolution Aerial Images in Google Earth.” Landscape and Urban Planning 108(1) : 57–70.10.1016/j.landurbplan.2012.08.001]Search in Google Scholar
[United States Census Bureau. 2011. Urban Area Criteria for the 2010 Census: Notice. Federal Register 76. No 164.]Search in Google Scholar
[United States Department of Agriculture (USDA). 2016. Urban Agriculture. https://newfarmers.usda.gov/ (accessed April 25, 2018).]Search in Google Scholar
[Vidhya, K.A. and G. Aghila. 2010. “A Survey of Naīve Bayes Machine Learning Approach in Text Document Classification.” International Journal of Computer Science and Information Security 7: 200–211. Available at: https://pdfs.semanticscholar.org/6861/d02328e18e84fe98b30658100b1c8e7d9891.pdf (accessed May 29, 2017).]Search in Google Scholar
[Wikipedia. 2017. Google Earth. Online: https://en.wikipedia.org/wiki/Google_Earth (accessed September 30, 2017).]Search in Google Scholar
[Young, L.J., A.C. Lamas, and D.A. Abreu. 2012. “The 2012 Census of Agriculture: A Capture-Recapture Analysis.” Journal of Agricultural Biological and Environmental Statistics 22: 523–539. Doi: https://dx.doi.org/10.1007/s13253-017-0303-8 (accessed September 30, 2017).10.1007/s13253-017-0303-8(accessed302017)]Open DOISearch in Google Scholar
[Zujovic, J., T.N. Pappas, and D.L. Neuhoff. 2009. “Structural Similarity Metrics for Texture Analysis and Retrieval.” Proceedings of the International Conference on Image Processing. Cairo, Egypt. 2225–2228.]Search in Google Scholar