Identification of wetland areas in the context of agricultural development using Remote Sensing and GIS
Identificación de áreas de humedal en el contexto del desarrollo agrícola usando Teledetección y SIG
Palabras clave:
Wetland, agriculture, environmental management, piezometric levels, topographic wetness index (en)Humedal, agricultura, manejo ambiental, niveles piezométricos, índice topográfico de humedad (es)
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Cowardin, L.M., et al., Classification of wetlands and deepwater habitats of the United States, U.S.F.a.W. Service, Editor. Government printing office: Washington, USA, 1992, 131 P.
Cavalcanti, I.F.A., Large scale and synoptic features associated with extreme precipitation over South America: A review and case studies for the first decade of the 21st century. Atmospheric Research. 118(0), pp. 27-40, 2012. DOI: 10.1016/j.atmosres.2012.06.012.
Hoyos, N., et al., Impact of the 2010–2011 La Niña phenomenon in Colombia, South America: The human toll of an extreme weather event. Applied Geography. 39(0), pp. 16-25, 2013. DOI: 10.1016/j.apgeog.2012.11.018.
Brooks, R., et al., Proposed Hydrogeomorphic classification for wetlands of the Mid-Atlantic Region, USA. Wetlands. 31, pp. 207-219, 2011. DOI: 10.1007/s13157-011-0158-7.
Euliss, N.H., et al., The wetland continumm: A conceptual framework for interpreting biological studies. Wetlands. 24(2), pp. 448-458, 2004. DOI: 10.1672/0277-5212(2004)024[0448:TWCACF]2.0.CO;2.
Costanza, R., et al., Changes in the global value of ecosystem services. Global Environmental Change. 26(0), pp. 152-158, 2014. DOI: 10.1016/j.gloenvcha.2014.04.002.
Jones, K., et al., Monitoring and assessment of wetlands using Earth Observation: The GlobWetland project. Journal of Environmental Management. 90(7), pp. 2154-2169, 2009. DOI: 10.1016/j.jenvman.2007.07.037.
Combes, J.L., et al., Deforestation and seigniorage in developing countries: A tradeoff? Ecological Economics. 116, pp. 220-230, 2015. DOI: 10.1016/j.ecolecon.2015.03.029.
Ceddia, M.G., Gunter, U. and Corriveau-Bourque, A., Land tenure and agricultural expansion in Latin America: The role of Indigenous Peoples’ and local communities’ forest rights. Global Environmental Change. 35, pp. 316-322, 2015. DOI: 10.1016/j.gloenvcha.2015.09.010.
Reed, M.S., et al., Who's in and why? A typology of stakeholder analysis methods for natural resource management. Journal of Environmental Management. 90(5), pp. 1933-1949, 2009. DOI: 10.1016/j.jenvman.2009.01.001.
Nelson, R.W. and Weller, E., A better rationale for wetland management. Environmental Management. 8(4), pp. 295-308, 1984. DOI: 10.1007/BF01868029.
Millenium-Ecosystem-Assessment, Ecosystems and human well-being: Biodiversity synthesis, in Island Press, W.R. Institute, Editor. 2005: Washington, D.C. 86 P.
Prance, T.G., A comparison of the efficacy of higher taxa and species numbers in the assessment of biodiversity in the neotropics. Philosophical Transactions of The Royal Society. 345(1311), pp. 89-99, 1994. DOI: 10.1098/rstb.1994.0090.
Padial, A.A., Bini, L.M. and Thomas, S.M., The study of aquatic macrophytes in Neotropics: A scientometrical view of the main trends and gaps. Brazilian Journal of Biology. 68(4), pp. 1051-1059, 2008. DOI: 10.1590/S1519-69842008000500012
Johnston, R., et al., WETwin: A structured approach to evaluating wetland management options in data-poor contexts. Environmental Science & Policy. 34(0), pp. 3-17, 2013. DOI: 10.1016/j.envsci.2012.12.006.
Long, C.M. and Pavelsky, T.M., Remote sensing of suspended sediment concentration and hydrologic connectivity in a complex wetland environment. Remote Sensing of Environment. 129(0), pp. 197-209, 2013. DOI: 10.1016/j.rse.2012.10.019.
Ward, D.P., et al., Floodplain inundation and vegetation dynamics in the Alligator Rivers region (Kakadu) of northern Australia assessed using optical and radar remote sensing. Remote Sensing of Environment. 147(0), pp. 43-55, 2014. DOI: 10.1016/j.rse.2014.02.009.
Zhao, X., Stein, A. and Chen, X.-L., Monitoring the dynamics of wetland inundation by random sets on multi-temporal images. Remote Sensing of Environment. 115(9), pp. 2390-2401, 2011. DOI: 10.1016/j.rse.2011.05.002.
Restrepo, J.D. and Kjerfve, B., Water discharge and sediment load from the western slopes of the colombian Andes with focus on rio San Juan. The Journal of Geology. 108, pp. 17-33, 2000. DOI: 10.1086/314390.
Villegas, P., et al., Assessing the hydrochemistry of the Urabá Aquifer, Colombia by principal component analysis. Journal of Geochemical Exploration. 134, pp. 120-129, 2013. DOI: 10.1016/j.gexplo.2013.08.011.
Holmes, R., Armanini, D.G. and Yates, A.G., Effects of best management practice on ecological condition: Does location matter? Environmental Management: 57(5), pp. 1062-1076, 2016. DOI: 10.1007/s00267-016-0662-x.
Mitsch, W.J., et al., Tropical wetlands: Seasonal hydrologic pulsing, carbon sequestration and methane emissions. Wetland Ecology and Management. 18, pp. 573-586, 2010. DOI: 10.1007/s11273-009-9164-4.
Fortin, M.J., et al., Issues related to the detection of boundaries. Lanscape Ecology. 15, pp. 453-466, 2000. DOI: 10.1023/A:1008194205292.
Chen, L., et al., Dynamic monitoring of wetland cover changes using time-series remote sensing imagery. Ecological Informatics. 24(0), pp. 17-26, 2014. DOI: 10.1016/j.ecoinf.2014.06.007.
Huang, C., et al.,Wetland inundation mapping and change monitoring using Landsat and airborne LiDAR data. Remote Sensing of Environment. 141(0), pp. 231-242, 2014. DOI: 10.1016/j.rse.2013.10.020.
Marti-Cardona, B., Dolz-Ripolles, J. and Lopez-Martinez, C., Wetland inundation monitoring by the synergistic use of ENVISAT/ASAR imagery and ancilliary spatial data. Remote Sensing of Environment. 139(0), pp. 171-184, 2013. DOI: 10.1016/j.rse.2013.07.028.
Petus, C., Lewis, M. and White, D., Monitoring temporal dynamics of Great Artesian Basin wetland vegetation, Australia, using MODIS NDVI. Ecological Indicators. 34(0), pp. 41-52, 2013. DOI: 10.1016/j.ecolind.2013.04.009.
Grenier, M., et al., Accuracy assessment method for wetland object-based classification. in ISPRS, XXXVIII-4/C1. Calgary, Alberta, Canada. 2008.
Salari, A., et al., Quantifying tropical wetlands using field surveys, spatial statistics and remote sensing. Wetlands. 34, pp. 565-574, 2014. DOI: 10.1007/s13157-014-0524-3.
Anaya, J.A. and Chuvieco-Salinero, E., Accuracy assessment of burned area products in the Orinoco basin. Photogrammetric Engineering and Remote Sensing. 78(1), pp. 53-60, 2012. DOI: 10.14358/PERS.78.1.53.
Palomino, S. and Anaya, J.A., Evaluation of the causes of error in the MCD45 burned-area product of the savannas of northern South America. DYNA. 79(176), pp. 35-44, 2012.
Cheng, T., et al., Predicting leaf gravimetric water content from foliar reflectance across a range of plant species using continuous wavelet analysis. Journal of Plant Physiology. 169(12), pp. 1134-1142, 2012. DOI: 10.1016/j.jplph.2012.04.006.
Infascelli, R., et al., Testing different topographic indexes to predict wetlands distribution. Procedia Environmental Sciences. 19(0), pp. 733-746, 2013. DOI: 10.1016/j.proenv.2013.06.082.
Sorensen, R., Zinko, U. and Seibert, J., On the calculation of the topographic wetness index: Evaluation of different methods based on field observations. Hydrology and Earth System Sciences. 10, pp. 101-112, 2006. DOI: 10.5194/hess-10-101-2006.
Tarboton, D.G., et al., Generalized terrain-based flow analysis of digital elevation models, in World IMACS / MODSIM. 2009. pp. 2000-2006.
IGAC, Estudio Semidetallado de Suelos 1:25000. Departamento de Antioquia, Urabá, 2007.
IGAC, Estudio general de suelos y zonificación de tierras. Departamento de Antioquia 1:100000. 2007.
USDA, Keys to Soil Taxonomy, N.R.C. service, Editor. 2010. 338 P.
Ozesmi, S.L. and Bauer, M.E., Satellite remote sensing of wetlands. Wetlands Ecology and Management. 10(5), pp. 381-402, 2014. DOI: 10.1023/A:1020908432489.
Congalton, R.G. and Green, K., Assessing the accuracy of remotely sensed data. 2nd ed, Boca Raton, FL, USA: CRC Press. 183 P. 2009.
Giri, C., et al., Status and distribution of mangrove forests of the world using earth observation satellite data. Global Ecology and Biogeography. 20, pp. 154-159, 2011. DOI: 10.1111/j.1466-8238.2010.00584.x.
McBratney, A.B. and Webster, R., Choosing functions for semi-variograms of soil properties and fitting them to sampling estimates. Journal of Soil Science. 37, pp. 617-639, 1986. DOI: 10.1111/j.1365-2389.1986.tb00392.x.
Pollice, A. and Lasinio, G.J., Two approaches to imputation and adjustment of air quality data from a composite monitoring network. Journal of Data Science. 7, pp. 43-59, 2009.
Anaya, J., Colditz, R. and Valencia, G., Land cover mapping of a tropical region by integrating multi-year data into an annual time series. Remote Sensing. 7(12), pp. 15833, 2015. DOI: 10.3390/rs71215833.
Ludwig, R. and Schneider, P., Validation of digital elevation models from SRTM X-SAR for applications in hydrologic modeling. ISPRS Journal of Photogrammetry and Remote Sensing. 60(5), pp. 339-358, 2006. DOI: 10.1016/j.isprsjprs.2006.05.003.
Zhu, J. and Satish, M., A boundary element method for stochastic flow problems in a semiconfined aquifer with random boundary conditions. Engineering Analysis with Boundary Elements. 19, pp. 199-208, 1997. DOI: 10.1016/S0955-7997(97)00010-6.
IPCC, 2013 Supplement to the 2006 IPCC Guidelines for National GreenHouse Gas Inventories: Wetlands., I.f.G.E. Strategies, Editor. Intergovernmental Panel on Climate Change: Switzerland, 2014.
Restrepo, J.D. and Alvarado, E.M., 11.12 - Assessing major environmental issues in the Caribbean and Pacific coasts of Colombia, South America: An overview of fluvial fluxes, coral reef degradation, and mangrove ecosystems impacted by river diversion, in: Wolanski E. and McLusky, D., Editors, Treatise on estuarine and coastal science, Academic Press: Waltham. pp. 289-314, 2011.
Naiman, R., Kantor, S. and Bilby, R.E., eds. River ecology and management. Lessons from the Pacific Coastal ecoregion, ed. Springer: New York. 705 P., 2013.
Wren, D.G., et al., The evolution of an oxbow lake in the Mississippi alluvial floodplain. Journal of Soil and Water Conservation. 63(3), pp. 129-135, 2008. DOI: 10.2489/jswc.63.3.129
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