1. bookVolumen 25 (2022): Edición 1 (May 2022)
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1338-5259
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06 Sep 2013
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Evidence of paucity of residential green spaces from the normalized difference vegetation index (NDVI) in Metropolitan Lagos, Nigeria

Publicado en línea: 14 Jun 2022
Volumen & Edición: Volumen 25 (2022) - Edición 1 (May 2022)
Páginas: 51 - 59
Recibido: 17 Feb 2022
Aceptado: 31 Mar 2022
Detalles de la revista
License
Formato
Revista
eISSN
1338-5259
Primera edición
06 Sep 2013
Calendario de la edición
2 veces al año
Idiomas
Inglés

Abdollahi, J., Bghestani. N., Savaghebi, M. H., & Rahimian, M. H. (2008). Determining vegetation cover percentage of arid regions using IRS and GIS (Case Study: Nadooshan Watershed). Journal of Science and Technology of Agriculture and Natural Resources, (44), 301–313. Search in Google Scholar

Benz, U. C., Hofmann, P., Willhauck, G., Lingenfelder, I., & Heynen, M. (2004). Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information. ISPRS Journal of photogrammetry and remote sensing, 58(3–4), 239–258. https://doi.org/10.1016/j.isprsjprs.2003.10.00210.1016/j.isprsjprs.2003.10.002 Search in Google Scholar

Blaschke, T., & Strobl, J. (2001). What’s wrong with pixels? Some recent developments interfacing remote sensing and GIS. Zeitschrift für Geoinformationssysteme, 12–17. www.courses.washington.edu/cfr530/GIS200106012.pdf Search in Google Scholar

Coops, N. C., Fontana, F. M., Harvey, G. K., Nelson, T. A., & Wulder, M. A. (2014). Monitoring of a national-scale indirect indicator of biodiversity using a long time-series of remotely sensed imagery. Canadian Journal of Remote Sensing, 40(3), 179–191. https://doi.org/10.1080/07038992.2014.94582610.1080/07038992.2014.945826 Search in Google Scholar

Digital Globe Foundation (2017). Imagery Dataset information received as an education grant. Search in Google Scholar

Glenn, E. P., Huete, A. R., Nagler, P. L., & Nelson, S. G. (2008). Relationship between remotely-sensed vegetation indices, canopy attributes and plant physiological processes: What vegetation indices can and cannot tell us about the landscape. Sensors, 8(4), 2136–2160. https://doi.org/10.3390/s804213610.3390/s8042136367341027879814 Search in Google Scholar

Guyot, G. (1990). Optical Properties of Vegetation Canopies. In Applications of Remote Sensing in Agriculture, edited by M.D. Steven and J.A. Clark, pp.19–43. Butterworth, London.10.1016/B978-0-408-04767-8.50007-4 Search in Google Scholar

Heerwagen, J. (2000). Green buildings, organizational success and occupant productivity. Building Research & Information, 28(5–6), 353–367. https://www.wbdg.org/files/pdfs/grn_bldgs_org_success.pdf10.1080/096132100418500 Search in Google Scholar

Laliberte, A. S., Rango, A., Herrick, J. E., Fredrickson, E. L., & Burkett, L. (2007). An object-based image analysis approach for determining fractional cover of senescent and green vegetation with digital plot photography. Journal of Arid Environments, 69(1), 1–14. https://doi:10.1016/j.jaridenv.2006.08.01610.1016/j.jaridenv.2006.08.016 Search in Google Scholar

Orr, D. W. (1993). Love it or lose it: The coming biophilia revolution. St. R. Kellert and EO Wilson (Eds.). The Biophilia Hypothesis. Washington (Island Press) 1993, pp. 414–440. Search in Google Scholar

Pauleit, S., Slinn, P., Handley, J., & Lindley, S. (2003). Promoting the natural green structure in towns and cities: the accessible natural greenspace standards model (ANGSt). Journal of Built Environment, 29(2), 157–171. https://doi.org/10.2148/benv.29.2.157.5446910.2148/benv.29.2.157.54469 Search in Google Scholar

Ramsey, R. D., Wright Jr, D. L., & McGinty, C. (2004). Evaluating the use of Landsat 30m Enhanced Thematic Mapper to monitor vegetation cover in shrub-steppe environments. Geocarto international, 19(2), 39–47. https://doi:10.1080/1010604040854230510.1080/10106040408542305 Search in Google Scholar

Saino, N., Szép, T., Ambrosini, R., Romano, M., & Møller, A. P. (2004). Ecological conditions during winter affect sexual selection and breeding in a migratory bird. Proceedings of the Royal Society of London. Series B: Biological Sciences, 271(1540), 681–686. https://doi:10.1098/rspb.2003.265610.1098/rspb.2003.2656169164715209100 Search in Google Scholar

Takeuchi, W., & Yasuoka, Y. (2004). Development of normalized vegetation, soil and water indices derived from satellite remote sensing data. Journal of the Japan society of photogrammetry and remote sensing, 43(6), 7–19. https://doi.org/10.4287/jsprs.43.6_710.4287/jsprs.43.6_7 Search in Google Scholar

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